{"id":293,"date":"2017-06-22T20:26:01","date_gmt":"2017-06-22T20:26:01","guid":{"rendered":"http:\/\/sigir.org\/sigir2018\/wordpress\/?page_id=293"},"modified":"2018-07-06T02:55:22","modified_gmt":"2018-07-06T02:55:22","slug":"program-at-a-glance","status":"publish","type":"page","link":"http:\/\/sigir.org\/sigir2018\/program\/program-at-a-glance\/","title":{"rendered":"Program at a Glance"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221;][et_pb_row admin_label=&#8221;row&#8221;][et_pb_column type=&#8221;4_4&#8243; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221;][et_pb_text admin_label=&#8221;Header&#8221;]<\/p>\n<h1>Program at a Glance&nbsp;<\/h1>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text: Timetable&#8221;]<\/p>\n<p>&nbsp;<\/p>\n<table style=\"height: 35px; width: 787.09375px; border-color: #aaaaaa;\">\n<tbody>\n<tr>\n<th style=\"width: 792.09375px; text-align: center;\" colspan=\"3\">Sunday, July 8<\/th>\n<\/tr>\n<tr>\n<td style=\"width: 145px;\">8:00 AM<\/td>\n<td style=\"width: 647.09375px;\" colspan=\"2\">Registration<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 145px;\">9:00 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>10:00 AM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 378px;\"><strong>Tutorials<\/strong><\/p>\n<p><\/p>\n<p>&nbsp;&nbsp;<\/p>\n<ul>\n<li>\n<p class=\"p1\"><span class=\"s1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#fullday1\">Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between&nbsp;<\/a>: Henderson (Floor 3)<\/span><\/p>\n<\/li>\n<li>\n<p class=\"p1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#fullday2\">Probabilistic Topic Models for Text Data Retrieval and Analysis&nbsp;<\/a>: Room D (Floor 3)<\/p>\n<\/li>\n<li>\n<p class=\"p1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#fullday3\">SIGIR 2018 Tutorial on Health Search (HS2018) &mdash; A Full-day from Consumers to Clinicians&nbsp;<\/a>: Koessler (Floor 3)<\/p>\n<\/li>\n<li>\n<p class=\"p1\"><span class=\"s1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday1\">Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-on Tutorial&nbsp;<\/a>: Vanderberg (Floor 2)<\/span><\/p>\n<\/li>\n<li>\n<p class=\"p1\"><span class=\"s1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday3\">Deep Learning for Matching in Search and Recommendation&nbsp;<\/a>: Rackham Amphitheatre<\/span><\/p>\n<\/li>\n<li>\n<p class=\"p1\"><span class=\"s1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday4\">Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances&nbsp;<\/a>: Hussey (Floor 2)<\/span><\/p>\n<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday2\">Fusion in Information Retrieval&nbsp;<\/a>: Michigan (Floor 2)<\/li>\n<\/ul>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 269.09375px;\"><strong>Doctoral Consortium<\/strong><\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>(For accepted students only)<\/p>\n<p>(Room 4, Floor 1)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 145px;\">10:00 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>10:30 AM<\/p>\n<\/td>\n<td style=\"width: 647.09375px;\" colspan=\"2\">Coffee Break (League Concourse, Floor 2)<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 145px;\">10:30 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>12:30 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 378px;\"><strong>Tutorials<\/strong><\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li>\n<p class=\"p1\"><span class=\"s1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#fullday1\">Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between&nbsp;<\/a>: Henderson (Floor 3)<\/span><\/p>\n<\/li>\n<li>\n<p class=\"p1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#fullday2\">Probabilistic Topic Models for Text Data Retrieval and Analysis&nbsp;<\/a>: Room D (Floor 3)<\/p>\n<\/li>\n<li>\n<p class=\"p1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#fullday3\">SIGIR 2018 Tutorial on Health Search (HS2018) &mdash; A Full-day from Consumers to Clinicians&nbsp;<\/a>: Koessler (Floor 3)<\/p>\n<\/li>\n<li>\n<p class=\"p1\"><span class=\"s1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday1\">Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-on Tutorial&nbsp;<\/a>: Vanderberg (Floor 2)<\/span><\/p>\n<\/li>\n<li>\n<p class=\"p1\"><span class=\"s1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday3\">Deep Learning for Matching in Search and Recommendation&nbsp;<\/a>: Rackham Amphitheatre<\/span><\/p>\n<\/li>\n<li>\n<p class=\"p1\"><span class=\"s1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday4\">Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances&nbsp;<\/a>: Hussey (Floor 2)<\/span><\/p>\n<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday2\">Fusion in Information Retrieval&nbsp;<\/a>: Michigan (Floor 2)<\/li>\n<\/ul>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 269.09375px;\"><strong>Doctoral Consortium<\/strong><\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>(For accepted students only)<\/p>\n<p>(Room 4, Floor 1)<\/p>\n<p>&nbsp;<\/p>\n<p class=\"\">Lunch starts at 12:00pm<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 145px;\">12:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>1:30 PM<\/p>\n<\/td>\n<td style=\"width: 378px;\">Lunch Break<\/p>\n<p><\/p>\n<p>(Box lunch provided for registered tutorial attendees)<\/p>\n<\/td>\n<td style=\"width: 269.09375px;\"><strong>Doctoral Consortium Lunch (12:00 &#8211; 1:20pm)<\/strong><\/p>\n<p class=\"\">(For accepted students only)<\/p>\n<p class=\"\">Ends at 1:20pm<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 145px;\">1:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>3:00 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 378px;\"><strong>Tutorials<\/strong><\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li>\n<p class=\"p1\"><span class=\"s1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#fullday1\">Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between&nbsp;<\/a>: Henderson (Floor 3)<\/span><\/p>\n<\/li>\n<li>\n<p class=\"p1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#fullday2\">Probabilistic Topic Models for Text Data Retrieval and Analysis<\/a>: Room D (Floor 3)<\/p>\n<\/li>\n<li>\n<p class=\"p1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#fullday3\">SIGIR 2018 Tutorial on Health Search (HS2018) &mdash; A Full-day from Consumers to Clinicians&nbsp;<\/a>: Koessler (Floor 3)<\/p>\n<\/li>\n<li>\n<p class=\"p1\"><span class=\"s1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday5\">Tutorial on Utilizing Knowledge Graphs for Text-centric Information Retrieval&nbsp;<\/a>: Hussey (Floor 2)<\/span><\/p>\n<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday6\">Neural Approaches to Conversational AI&nbsp;<\/a>: Rackham Amphitheatre<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday7\">Efficient Query Processing Infrastructures&nbsp;<\/a>: Michigan (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday8\">Information Discovery in E-commerce&nbsp;<\/a>: Vanderberg (Floor 2)<\/li>\n<\/ul>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 269.09375px;\"><strong>Doctoral Consortium<\/strong><\/p>\n<p><\/p>\n<p>&nbsp;&nbsp;<\/p>\n<p class=\"\">Resumes&nbsp;at 1:20pm<\/p>\n<p>(For accepted students only)<\/p>\n<p>(Room 4, Floor 1)<\/p>\n<p>&nbsp;<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 145px;\">3:00 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>3:30 PM<\/p>\n<\/td>\n<td style=\"width: 647.09375px;\" colspan=\"2\">Coffee Break (League Concourse, Floor 2)<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 145px;\">3:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>5:00 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 378px;\"><strong>Tutorials<\/strong><\/p>\n<p><\/p>\n<p>&nbsp;&nbsp;<\/p>\n<ul>\n<li>\n<p class=\"p1\"><span class=\"s1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#fullday1\">Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between&nbsp;<\/a>: Henderson (Floor 3)<\/span><\/p>\n<\/li>\n<li>\n<p class=\"p1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#fullday2\">Probabilistic Topic Models for Text Data Retrieval and Analysis&nbsp;<\/a>: Room D (Floor 3)<\/p>\n<\/li>\n<li>\n<p class=\"p1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#fullday3\">SIGIR 2018 Tutorial on Health Search (HS2018) &mdash; A Full-day from Consumers to Clinicians&nbsp;<\/a>: Koessler (Floor 3)<\/p>\n<\/li>\n<li>\n<p class=\"p1\"><span class=\"s1\"><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday5\">Tutorial on Utilizing Knowledge Graphs for Text-centric Information Retrieval&nbsp;<\/a>: Hussey (Floor 2)<\/span><\/p>\n<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday6\">Neural Approaches to Conversational AI&nbsp;<\/a>: Rackham Amphitheatre<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday7\">Efficient Query Processing Infrastructures&nbsp;<\/a>: Michigan (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/tutorials\/#halfday8\">Information Discovery in E-commerce&nbsp;<\/a>: Vanderberg (Floor 2)<\/li>\n<\/ul>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 269.09375px;\"><strong>Doctoral Consortium<\/strong><\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>(For accepted students only)<\/p>\n<p>(Room 4, Floor 1)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 145px;\">5:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>9:30&nbsp;PM<\/p>\n<\/td>\n<td style=\"width: 647.09375px;\" colspan=\"2\"><a href=\"http:\/\/sigir.org\/sigir2018\/events#reception\">Welcome Reception at University of Michigan Museum of Art<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p><\/p>\n<table style=\"height: 35px; width: 774px; border-color: #aaaaaa;\">\n<tbody>\n<tr style=\"height: 23px;\">\n<th style=\"width: 819px; text-align: center; height: 23px;\" colspan=\"3\">Monday, July 9<\/th>\n<\/tr>\n<tr style=\"height: 102px;\">\n<td style=\"width: 149px; height: 102px;\">8:00 AM<\/td>\n<td style=\"width: 670px; height: 102px;\" colspan=\"2\">Registration<\/td>\n<\/tr>\n<tr style=\"height: 102px;\">\n<td style=\"width: 149px; height: 102px;\">8:45 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;9:00 AM<\/p>\n<\/td>\n<td style=\"width: 670px; height: 102px;\" colspan=\"2\">Opening (Rackham Auditorium)<\/td>\n<\/tr>\n<tr style=\"height: 102px;\">\n<td style=\"background-color: #e4d4c8; width: 149px;\">9:00 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>10:00 AM<\/p>\n<\/td>\n<td style=\"background-color: #e4d4c8; width: 670px;\" colspan=\"2\">&nbsp;Salton Keynote (Rackham Auditorium)<\/td>\n<\/tr>\n<tr style=\"height: 102px;\">\n<td style=\"width: 149px; height: 102px;\">10:00 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>10:30 AM<\/p>\n<\/td>\n<td style=\"width: 670px; height: 102px;\" colspan=\"2\">Coffee Break (Ballroom, Floor 2)<\/td>\n<\/tr>\n<tr style=\"height: 102px;\">\n<td style=\"background-color: #e2efdb; width: 149px;\">10:30 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>12:00 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 188.828125px;\"><strong><a href=\"http:\/\/sigir.org\/sigir2018\/program\/industry-days\/\">Industry Sessions<\/a><\/strong> (Rackham Auditorium)<\/td>\n<td style=\"background-color: #e2efdb; width: 481.171875px;\"><strong>Technical Sessions<\/strong> (Michigan League)<br \/> <a href=\"#s1a\">Session 1A: New IR Applications&nbsp;<\/a>: Hussey (Floor 2)<br \/> <a href=\"#s1b\">Session 1B: Log Analysis&nbsp;<\/a>: Vanderberg (Floor 2)<br \/> <a href=\"#s1c\">Session 1C: Predictions&nbsp;<\/a>: Michigan (Floor 2)<br \/> <a href=\"#s1d\">Session 1D: Learning to Rank I&nbsp;<\/a>: Mendelssohn Theatre<\/td>\n<\/tr>\n<tr style=\"height: 102px;\">\n<td style=\"width: 149px; height: 102px;\">12:00 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>1:30 PM<\/p>\n<\/td>\n<td style=\"width: 188.828125px; height: 102px;\">Lunch Break (Lunch not provided)<\/td>\n<td style=\"width: 481.171875px; height: 102px;\">Student Lunch (Requires Student Lunch Ticket) (The Graduate Hotel)<\/td>\n<\/tr>\n<tr style=\"height: 102px;\">\n<td style=\"background-color: #e2efdb; width: 149px;\">1:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>3:00 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 188.828125px;\"><strong><a href=\"http:\/\/sigir.org\/sigir2018\/program\/industry-days\/\">Industry Sessions<\/a> <\/strong>(Rackham Auditorium)<\/td>\n<td style=\"background-color: #e2efdb; width: 481.171875px;\"><strong>Technical Sessions<\/strong> (Michigan League)<br \/> <a href=\"#s2a\">Session 2A: Sentiment &amp; Opinion&nbsp;<\/a>: Hussey (Floor 2)<br \/> <a href=\"#s2b\">Session 2B: Social&nbsp;<\/a>: Vanderberg (Floor 2)<br \/> <a href=\"#s2c\">Session 2C: App Search &amp; Recommendation&nbsp;<\/a>: Michigan (Floor 2)<br \/> <a href=\"#s2d\">Session 2D: Conversational Systems&nbsp;<\/a>: Mendelssohn Theatre<\/td>\n<\/tr>\n<tr style=\"height: 102px;\">\n<td style=\"width: 149px; height: 102px;\">3:00 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>3:30 PM<\/p>\n<\/td>\n<td style=\"width: 670px; height: 102px;\" colspan=\"2\">Coffee Break (League Concourse, Floor 2)<\/td>\n<\/tr>\n<tr style=\"height: 102px;\">\n<td style=\"background-color: #e2efdb; width: 149px;\">3:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>5:00 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 188.828125px;\"><strong><a href=\"http:\/\/sigir.org\/sigir2018\/program\/industry-days\/\">Industry Sessions<\/a> <\/strong>(Rackham Auditorium)<\/td>\n<td style=\"width: 481.171875px; height: 102px; background-color: #fff1ce;\"><strong><a href=\"http:\/\/sigir.org\/sigir2018\/program\/poster-sessions-and-demos\/#sp1\">Poster and Demo Reception&nbsp;1<\/a> <\/strong>(Michigan League Ballroom, Floor 2)<\/td>\n<\/tr>\n<tr style=\"height: 101px;\">\n<td style=\"width: 149px; height: 101px;\">5:00 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>6:30 PM<\/p>\n<\/td>\n<td style=\"width: 670px; height: 101px;\" colspan=\"2\">Women in IR (Michigan Room)<\/td>\n<\/tr>\n<tr style=\"height: 101px;\">\n<td style=\"width: 149px; height: 101px;\">6:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>10:00&nbsp;PM<\/p>\n<\/td>\n<td style=\"width: 670px; height: 101px;\" colspan=\"2\">Student Social Event at <a href=\"https:\/\/goo.gl\/maps\/hGVKTtcqt3M2\">Bill&#8217;s Beer Garden<\/a>&nbsp;(Open to all conference attendees)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p><\/p>\n<table style=\"height: 35px; width: 768px; border-color: #aaaaaa;\">\n<tbody>\n<tr>\n<th style=\"width: 1053px; text-align: center;\" colspan=\"3\">Tuesday, July 10<\/th>\n<\/tr>\n<tr>\n<td style=\"width: 192px;\">8:00 AM<\/td>\n<td style=\"width: 861px;\" colspan=\"2\">Registration<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 192px;\">8:45 AM &ndash;<\/p>\n<p><\/p>\n<p>9:00 AM<\/p>\n<\/td>\n<td style=\"width: 861px;\" colspan=\"2\">Announcements (Rackham Auditorium)<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e4d4c8; width: 192px;\">9:00 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>10:00 AM<\/p>\n<\/td>\n<td style=\"background-color: #e4d4c8; width: 861px;\" colspan=\"2\">&nbsp;Keynote (Rackham Auditorium)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 192px;\">10:00 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>10:30 AM<\/p>\n<\/td>\n<td style=\"width: 861px;\" colspan=\"2\">Coffee Break (Ballroom, Floor 2)<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 192px;\">10:30 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>12:00 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 216.96875px;\"><strong><a href=\"http:\/\/sigir.org\/sigir2018\/program\/industry-days\/\">Industry Sessions<\/a> <\/strong>(Rackham Auditorium)<\/td>\n<td style=\"background-color: #e2efdb; width: 644.03125px;\"><strong>Technical Sessions<\/strong> (Michigan League)<br \/> <a href=\"#s3a\">Session 3A: Social Good&nbsp;<\/a>: Hussey (Floor 2)<br \/> <a href=\"#s3b\">Session 3B: Privacy&nbsp;<\/a>: Vanderberg (Floor 2)<br \/> <a href=\"#s3c\">Session 3C: Question Answering&nbsp;<\/a>: Michigan (Floor 2)<br \/> <a href=\"#s3d\">Session 3D: Learning to Rank II&nbsp;<\/a>: Mendelssohn Theatre<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 192px;\">12:00 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>1:30 PM<\/p>\n<\/td>\n<td style=\"width: 216.96875px;\">Lunch Break (Lunch not provided)<\/td>\n<td style=\"width: 644.03125px;\">DEI Lunch (For attendees with RSVP <span style=\"text-decoration: underline;\">only<\/span>) (The Graduate Hotel)<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 192px;\">1:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>3:00 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 216.96875px;\"><strong><a href=\"http:\/\/sigir.org\/sigir2018\/program\/industry-days\/\">Industry Sessions<\/a> <\/strong>(Rackham Auditorium)<\/td>\n<td style=\"background-color: #e2efdb; width: 644.03125px;\"><strong>Technical Sessions<\/strong> (Michigan League)<br \/> <a href=\"#s4a\">Session 4A: Fairness &amp; Robustness<\/a>: Hussey (Floor 2)<br \/> <a href=\"#s4b\">Session 4B: Behavior&nbsp;<\/a>: Vanderberg (Floor 2)<br \/> <a href=\"#s4c\">Session 4C: Medical &amp; Legal IR&nbsp;<\/a>: Michigan (Floor 2)<br \/> <a href=\"#s4d\">Session 4D: Recommender Systems &#8211; Methods&nbsp;<\/a>: Mendelssohn Theatre<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 192px;\">3:00 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>3:30 PM<\/p>\n<\/td>\n<td style=\"width: 861px;\" colspan=\"2\">Coffee Break (Ballroom, Floor 2)<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 192px;\">3:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>5:00 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 216.96875px;\"><strong><a href=\"http:\/\/sigir.org\/sigir2018\/program\/industry-days\/\">Industry Sessions<\/a> <\/strong>(Rackham Auditorium)<\/td>\n<td style=\"background-color: #fff1ce; width: 644.03125px;\"><strong><a href=\"http:\/\/sigir.org\/sigir2018\/program\/poster-sessions-and-demos\/#sp2\">Poster and Demo Reception&nbsp;2<\/a><\/strong> (Michigan League Ballroom, Floor 2)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 192px;\">&nbsp;5:15 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>11:00 PM<\/p>\n<\/td>\n<td style=\"width: 861px;\" colspan=\"2\"><a href=\"http:\/\/sigir.org\/sigir2018\/events\/\">Banquet &amp; Dinner at the Henry Ford Museum<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p><\/p>\n<table style=\"height: 35px; width: 792px; border-color: #aaaaaa;\">\n<tbody>\n<tr>\n<th style=\"width: 870px; text-align: center;\" colspan=\"3\">Wednesday, July 11<\/th>\n<\/tr>\n<tr>\n<td style=\"width: 153.984375px;\">8:00 AM<\/td>\n<td style=\"width: 716.015625px;\" colspan=\"2\">Registration<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 153.984375px;\">8:45 AM &ndash;<\/p>\n<p><\/p>\n<p>9:00 AM<\/p>\n<\/td>\n<td style=\"width: 716.015625px;\" colspan=\"2\">&nbsp;Announcements (Note: change to <strong>Mendelssohn Theatre<\/strong>)<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 153.984375px;\">9:00 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>10:30 AM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 716.015625px;\" colspan=\"2\"><strong>Technical Sessions<\/strong> (Michigan League)<br \/> <a href=\"#s5a\">Session 5A: Location and Trajectory&nbsp;<\/a>: Hussey (Floor 2)<br \/> <a href=\"#s5b\">Session 5B: Entities&nbsp;<\/a>: Vanderberg (Floor 2)<br \/> <a href=\"#s5c\">Session 5C: New Metrics&nbsp;<\/a>: Michigan (Floor 2)<br \/> <a href=\"#s5d\">Session 5D: Recommender Systems &#8211; Applications<\/a> : Mendelssohn Theatre<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 153.984375px;\">10:30 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>11:00 AM<\/p>\n<\/td>\n<td style=\"width: 716.015625px;\" colspan=\"2\">Coffee Break (Ballroom, Floor 2)<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 153.984375px;\">11:00 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>12:30 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 716.015625px;\" colspan=\"2\"><strong>Technical Sessions<\/strong> (Michigan League)<br \/> <a href=\"#s6a\">Session 6A: Evaluation&nbsp;<\/a>: Hussey (Floor 2)<br \/> <a href=\"#s6b\">Session 6B: Hashing &amp; Embedding&nbsp;<\/a>: Vanderberg (Floor 2)<br \/> <a href=\"#s6c\">Session 6C: Knowledge bases\/graphs&nbsp;<\/a>: Michigan (Floor 2)<br \/> <a href=\"#s6d\">Session 6D: Mobile User Behavior&nbsp;<\/a>: Mendelssohn Theatre<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 153.984375px;\">12:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>2:30 PM<\/p>\n<\/td>\n<td style=\"width: 309.015625px;\">Lunch Break (Lunch not provided)<\/td>\n<td style=\"width: 407px;\">\n<p class=\"\">SIGIR Business Lunch (Mendelssohn Theatre)<\/p>\n<p class=\"\">12:30 &#8211; 1:00pm: Boxed lunch in a location of your choice.<\/p>\n<p class=\"\">1:00 &#8211; 2:30pm: Business meeting in Mendelssohn Theatre (no food allowed in theatre).<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 153.984375px;\">2:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>3:40 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 716.015625px;\" colspan=\"2\"><strong>Technical Sessions<\/strong> (Michigan League)<br \/> Session 7A: <a href=\"#s7a\">Crowdsourcing &amp; Assessment&nbsp;<\/a>: Hussey (Floor 2)<br \/> Session 7B: <a href=\"#s7b\">Content &amp; Semantics&nbsp;<\/a>: Vandernberg (Floor 2)<br \/> Session 7C: <a href=\"#s7c\">Interfaces&nbsp;<\/a>: Michigan (Floor 2)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 153.984375px;\">3:40 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>4:10 PM<\/p>\n<\/td>\n<td style=\"width: 716.015625px;\" colspan=\"2\">Coffee Break (Ballroom, Floor 2)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 153.984375px;\">4:10 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>5:30 PM<\/p>\n<\/td>\n<td style=\"width: 716.015625px;\" colspan=\"2\">Panel: The Future of IR (Mendelssohn Theatre)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 153.984375px;\">5:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;&nbsp;<\/p>\n<p>5:45 PM<\/p>\n<\/td>\n<td style=\"width: 716.015625px;\" colspan=\"2\">Closing Session (Mendelssohn Theatre)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p><\/p>\n<table style=\"height: 35px; width: 794.84375px; border-color: #aaaaaa;\">\n<tbody>\n<tr>\n<th style=\"width: 781.84375px; text-align: center;\" colspan=\"2\">Thursday, July 12<\/th>\n<\/tr>\n<tr>\n<td style=\"width: 135px;\">8:00 AM<\/td>\n<td style=\"width: 646.84375px;\">Registration<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 135px;\">9:00 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>10:00 AM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 646.84375px;\"><strong>Workshops<\/strong><\/p>\n<p><\/p>\n<p>&nbsp;&nbsp;<\/p>\n<ul>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w1\">BIRNDL&rsquo;18: Bibliometric-enhanced IR and NLP for Digital Libraries<\/a>&nbsp;NOTE: starts at 8:30 AM&nbsp;: Room D (Floor 3)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w2\">CAIR&rsquo;18: Conversational Approaches to Information Retrieval&nbsp;<\/a>: Hussey (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w6\">ECOM&rsquo;18: eCommerce&nbsp;<\/a>: Koessler (Floor 3)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w7\">ProfS2018: First International Workshop on Professional Search&nbsp;<\/a>: Kalamazoo (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w9\">KG4IR&rsquo;18: Knowledge Graphs and Semantics for Text Retrieval, Analysis and Understanding&nbsp;<\/a>: Vandenberg (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w5\">EARS&rsquo;18: International Workshop on ExplainAble Recommendation and Search&nbsp;<\/a>: Michigan (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w10\">Learning from Limited\/Noisy data for IR&nbsp;<\/a>: Henderson (Floor 3)<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 135px;\">10:00 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>10:30 AM<\/p>\n<\/td>\n<td style=\"width: 646.84375px;\">Coffee Break (League Concourse, Floor 2)<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 135px;\">10:30 AM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>12:00 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 646.84375px;\"><strong>Workshops<\/strong><\/p>\n<p><\/p>\n<p>&nbsp;&nbsp;<\/p>\n<ul>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w2\">CAIR&rsquo;18: Conversational Approaches to Information Retrieval&nbsp;<\/a>: Hussey (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w6\">ECOM&rsquo;18: eCommerce&nbsp;<\/a>: Koessler (Floor 3)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w7\">ProfS2018: First International Workshop on Professional Search&nbsp;<\/a>: Kalamazoo (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w9\">KG4IR&rsquo;18: Knowledge Graphs and Semantics for Text Retrieval, Analysis and Understanding&nbsp;<\/a>: Vanderberg (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w1\">BIRNDL&rsquo;18: Bibliometric-enhanced IR and NLP for Digital Libraries&nbsp;<\/a>: Room D (Floor 3)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w5\">EARS&rsquo;18: International Workshop on ExplainAble Recommendation and Search&nbsp;<\/a>: Michigan (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w10\">Learning from Limited\/Noisy data for IR&nbsp;<\/a>: Henderson (Floor 3)<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 135px;\">12:00 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>1:30 PM<\/p>\n<\/td>\n<td style=\"width: 646.84375px;\">Lunch Break (Lunch not provided)<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 135px;\">1:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>3:00 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 646.84375px;\"><strong>Workshops<\/strong><\/p>\n<p><\/p>\n<p>&nbsp;&nbsp;<\/p>\n<ul>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w2\">CAIR&rsquo;18: Conversational Approaches to Information Retrieval&nbsp;<\/a>:&nbsp;Hussey (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w6\">ECOM&rsquo;18: eCommerce&nbsp;<\/a>: Koessler (Floor 3)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w7\">ProfS2018: First International Workshop on Professional Search&nbsp;<\/a>: Kalamazoo (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w9\">KG4IR&rsquo;18: Knowledge Graphs and Semantics for Text Retrieval, Analysis and Understanding&nbsp;<\/a>: Vandenberg (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w3\">CompS&rsquo;18: Computational Surprise in Information Retrieval&nbsp;<\/a>: Michigan (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w4\">DATA:SEARCH&rsquo;18: Searching Data on the Web&nbsp;<\/a>: Henderson (Floor 3)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w8\">Intelligent Transportation Informatics&nbsp;<\/a>: Room D (Floor 3)<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 135px;\">3:00 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>3:30 PM<\/p>\n<\/td>\n<td style=\"width: 646.84375px;\">Coffee Break (League Concourse, Floor 2)<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #e2efdb; width: 135px;\">3:30 PM &ndash;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>5:00 PM<\/p>\n<\/td>\n<td style=\"background-color: #e2efdb; width: 646.84375px;\"><strong>Workshops<\/strong><\/p>\n<p><\/p>\n<p>&nbsp;&nbsp;<\/p>\n<ul>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w2\">CAIR&rsquo;18: Conversational Approaches to Information Retrieval<\/a>&nbsp;: Hussey (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w6\">ECOM&rsquo;18: eCommerce<\/a> : Koessler (Floor 3)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w7\">ProfS2018: First International Workshop on Professional Search<\/a>&nbsp;: Kalamazoo (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w9\">KG4IR&rsquo;18: Knowledge Graphs and Semantics for Text Retrieval, Analysis and Understanding&nbsp;<\/a>: Vandenberg (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w3\">CompS&rsquo;18: Computational Surprise in Information Retrieval&nbsp;<\/a>: Michigan (Floor 2)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w4\">DATA:SEARCH&rsquo;18: Searching Data on the Web&nbsp;<\/a>: Henderson (Floor 3)<\/li>\n<li><a href=\"http:\/\/sigir.org\/sigir2018\/program\/workshops\/#w8\">Intelligent Transportation Informatics <\/a>: Room D (Floor 3)<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s1a&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 1A: New IR Applications<br \/>\n<\/span><\/strong><span style=\"font-size: 12pt;\"><strong>July 9 (Monday), 10:30 &#8211; 12:00, Hussey (Floor 2)<\/strong><br \/>\n<strong>Chair: Debora Donato (Mix Tech)<\/strong><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Neural Compatibility Modeling with Attentive Knowledge Distillation<\/strong><br \/>\nXuemeng Song (Shandong University); Fuli Feng (National University of Singapore); Xianjing Han (Shandong University); Xin Yang (Shandong University); Wei Liu (Tencent AI Lab); Liqiang Nie (Shandong University)<\/li>\n<li><strong>Attentive Moment Retrieval in Videos<\/strong><br \/>\nMeng Liu (Shandong University); Xiang Wang (National University of Singapore); Liqiang Nie (Shandong University); Xiangnan He (National University of Singapore); Baoquan Chen (Shandong University); Tat-Seng Chua (National University of Singapore)<\/li>\n<li><strong>Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach<\/strong><br \/>\nChuan Qin (University of Science and Technology of China); Hengshu Zhu (Talent Intelligence Center, Baidu, inc.); Tong Xu (University of Science and Technology of China); Chen Zhu (Talent Intelligence Center, Baidu, inc.); Liang Jiang (University of Science and Technology of China); Enhong Chen (University of Science and Technology of China); Hui Xiong (Rutgers University)<\/li>\n<li><strong>Cross-modal retrieval in the cooking context: Learning semantic text-image embeddings<\/strong><br \/>\nMicael Carvalho (Sorbonne Universit\u00e9); Remi Cadene (Sorbonne Universit\u00e9); David Picard (Sorbonne Universit\u00e9); Laure Soulier (Sorbonne Universit\u00e9); Nicolas Thome (Conservatoire national des arts et m\u00e9tiers); Matthieu Cord (Sorbonne Universit\u00e9)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s1b&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 1B: Log Analysis<br \/>\n<\/span><span style=\"font-size: 12pt;\">July 9 (Monday), 10:30 &#8211; 12:00, Vanderberg (Floor 2)<\/span><span style=\"font-size: 12pt;\"><br \/>\nChair: Paul Bennett (Microsoft Research)<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>A Click Sequence Model for Web Search<\/strong><br \/>\nAlexey Borisov (Yandex &amp; University of Amsterdam); Martijn Wardenaar (University of Amsterdam); Ilya Markov (University of Amsterdam); Maarten de Rijke (University of Amsterdam)<\/li>\n<li><strong>Understanding and Evaluating User Satisfaction with Music Discovery<\/strong><br \/>\nJean Garcia-Gathright (Spotify); Brian St. Thomas (Spotify); Christine Hosey (Spotify); Zahra Nazari (Spotify); Fernando Diaz (Microsoft)<\/li>\n<li><strong>Identifying Users behind Shared Accounts in Online Streaming Services<\/strong><br \/>\nJyun-Yu Jiang (University of California, Los Angeles); Cheng-Te Li (National Cheng Kung University); Yian Chen (KKBOX Inc.,); Wei Wang (University of California, Los Angeles)<\/li>\n<li><strong>Predicting User Knowledge Gain in Informational Search Sessions<\/strong><br \/>\nRan Yu (L3S Research Center); Ujwal Gadiraju (L3S Research Center); Peter Holtz (Leibniz-Institut f\u00fcr Wissensmedien (IWM)); Markus Rokicki (L3S Research Center); Philipp Kemkes (L3S Research Center); Stefan Dietze (L3S Research Center)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s1c&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 1C: Predictions<br \/>\nJuly 9 (Monday), 10:30 \u2013 12:00, Michigan (Floor 2)<br \/>\nChair: Alistair Moffat (The University of Melbourne)<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Dynamic Shard Cutoff Prediction for Selective Search<\/strong><br \/>\nHafeezul Rahman Mohammad (Carnegie Mellon University); Keyang Xu (Petuum Inc.); Jamie Callan (Carnegie Mellon University); J. Shane Culpepper (RMIT University)<\/li>\n<li><strong>Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks<\/strong><br \/>\nGuokun Lai (Carnegie Mellon University); Wei-Cheng Chang (Carnegie Mellon University); Yiming Yang (Carnegie Mellon University); Hanxiao Liu (Carnegie Mellon University)<\/li>\n<li><strong>Neural Query Performance Prediction using Weak Supervision from Multiple Signals<\/strong><br \/>\nHamed Zamani (University of Massachusetts Amherst); W. Bruce Croft (University of Massachusetts Amherst); J. Shane Culpepper (RMIT University)<\/li>\n<li><strong>Combined Regression and Tripletwise Learning for Conversion Rate Prediction in Real-Time Bidding Advertising<\/strong><br \/>\nLili Shan (Harbin Institute of Technology); Lei Lin (Harbin Institute of Technology); Chengjie Sun (Harbin Institute of Technology)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s1d&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 1D: Learning to Rank I<br \/>\nJuly 9 (Monday), 10:30 &#8211; 12:00, Mendelssohn Theatre<br \/>\nChair: Liangjie Hong (Etsy)<\/span><\/strong><\/p>\n<p><strong><span style=\"font-size: 12pt;\">\u00a0<\/span><\/strong><\/p>\n<ul>\n<li><strong>From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks<\/strong><br \/>\nYue Feng (Institute of Computing Technology, Chinese Academy of Sciences); Jun Xu (Institute of Computing Technology, Chinese Academy of Sciences); Yanyan Lan (Institute of Computing Technology, Chinese Academy of Sciences); Jiafeng Guo (Institute of Computing Technology, Chinese Academy of Sciences); Zeng Wei (Institute of Computing Technology, Chinese Academy of Sciences); Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences)<\/li>\n<li><strong>Learning a Deep Listwise Context Model for Ranking Refinement<\/strong><br \/>\nQingyao Ai (University of Massachusetts Amherst); Keping Bi (University of Massachusetts Amherst); Jiafeng Guo (Institute of Computing Technology, Chinese Academy of Sciences); W. Bruce Croft (University of Massachusetts Amherst)<\/li>\n<li><strong>Efficient Exploration of Gradient Space for Online Learning to Rank<\/strong><br \/>\nHuazheng Wang (University of Virginia); Ramsey Langley (University of Virginia); Sonwoo Kim (University of Virginia); Eric McCord-Snook (University of Virginia); Hongning Wang (University of Virginia)<\/li>\n<li><strong>Selective Gradient Boosting for Effective Learning to Rank<\/strong><br \/>\nClaudio Lucchese (ISTI-CNR); Franco Maria Nardini (ISTI-CNR); Raffaele Perego (ISTI-CNR); Salvatore Orlando (Universit\u00e0 Ca&#8217; Foscari Venezia); Salvatore Trani (ISTI CNR, Pisa)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s2a&#8221;]<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-size: 12pt;\"><strong>Session 2A: Sentiment &amp; Opinion<br \/>\nJuly 9 (Monday), 13:30 &#8211; 15:00, Hussey (Floor 2)<br \/>\nChair: Min Zhang (Tsinghua University)<\/strong><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Explainable Recommendation via Multi-Task Learning in Opinionated Text Data<\/strong><br \/>\nNan Wang (Shanghai Jiao Tong University); Hongning Wang (University of Virginia); Yiling Jia (University of Virginia); Yue Yin (University of Virginia)<\/li>\n<li><strong>Sentiment Analysis of Peer Review Texts for Scholarly Papers<\/strong><br \/>\nKe Wang (Peking University); Xiaojun Wan (Peking University)<\/li>\n<li><strong>Encoding syntactic knowledge in neural networks for sentiment classification (TOIS)<\/strong><br \/>\nMinlie Huang (Tsinghua University), Qiao Qian (Tsinghua University), Xiaoyan Zhu (Tsinghua University)<\/li>\n<li><strong>A meta-framework for modeling the human reading process in sentiment analysis (TOIS)<\/strong><br \/>\nRamy Baly (American University of Beirut), Roula Hobeica (American University of Beirut), Hazem Hajj (American University of Beirut), Wassim El-Hajj (American University of Beirut), Khaled Bashir Shaban (Qatar University), Ahmad Al-Sallab (Cairo University)<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s2b&#8221;]<\/p>\n<p><span style=\"font-size: 12pt;\"><strong>Session 2B: Social<br \/>\nJuly 9 (Monday), 13:30 &#8211; 15:00, Vanderberg (Floor 2)<br \/>\nChair: Vanessa Murdock (Amazon Research)<\/strong><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Attentive Recurrent Social Recommendation<\/strong><br \/>\nPeijie Sun (Hefei University of Technology); Le Wu (Hefei University of Technology); Meng Wang (Hefei University of Technology)<\/li>\n<li><strong>Mention Recommendation for Multimodal Microblog with Cross-attention Memory Network<\/strong><br \/>\nRenfeng Ma (Fudan University); Qi Zhang (Fudan University); Jiawen Wang (Fudan University); Lizhen Cui (Shandong Univerisity); Xuanjing Huang (Fudan University)<\/li>\n<li><strong>Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization<\/strong><br \/>\nHaokai Lu (Texas A&amp;M University); Wei Niu (Texas A&amp;M University); James Caverlee (Texas A&amp;M University)<\/li>\n<li><strong>A neural network approach to jointly modeling social networks and mobile trajectories (TOIS)<\/strong><br \/>\nCheng Yang (Tsinghua University), Maosong Sun (Tsinghua University), Wayne Xin Zhao (Renmin University of China), Zhiyuan Liu (Tsinghua University), Edward Y. Chang (HTC Research)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s2c&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 2C: App Search &amp; Recommendation<br \/>\nJuly 9 (Monday), 13:30 &#8211; 15:00, Michigan (Floor 2)<br \/>\nChair: Eugene Agichtein (Emory University)<br \/>\n<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Target Apps Selection: Towards a Unified Search Framework for Mobile Devices<\/strong><br \/>\nMohammad Aliannejadi (Universit\u00e0 della Svizzera italiana); Hamed Zamani (University of Massachusetts Amherst); Fabio Crestani (Universit\u00e0 della Svizzera italiana); W. Bruce Croft (University of Massachusetts Amherst)<\/li>\n<li><strong>Mining exploratory behavior to improve mobile app recommendation (TOIS)<\/strong><br \/>\nJiangning He (Tsinghua University), Hongyan Liu (Tsinghua University)<\/li>\n<li><strong>Cross-platform app recommendation by jointly modeling rating and texts (TOIS)<\/strong><br \/>\nDa Cao (Xiamen University), Xiangnan He (National University of Singapore), Liqiang Nie (Shandong University), Xiaochi Wei (Beijing Institute of Technology), Xia Hu (Texas A&amp;M), Shunxiang Wu (Xiamen University), Tat-Seng Chua (National University of Singapore)<\/li>\n<li><strong>Version-aware rating prediction for mobile app recommendation (TOIS)<\/strong><br \/>\nYuan Yao (Nanjing University), Wayne Xin Zhao (Renmin University of China), Yaojing Wang (Nanjing University), Hanghang Tong (Arizona State University), Feng Xu (Nanjing University), Jian Lu (Nanjing University)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s2d&#8221;]<\/p>\n<p><span style=\"font-size: 12pt;\"><strong>Session 2D: Conversational Systems<br \/>\nJuly 9 (Monday), 13:30 &#8211; 15:00, Mendelssohn Theatre<br \/>\nChair: Jian-Yun Nie (University of Montreal)<br \/>\n<\/strong><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Dialogue Act Recognition via CRF-Attentive Structured Network<\/strong><br \/>\nZheqian Chen (Zhejiang University); Rongqin Yang (Zhejiang University); Zhou Zhao (Zhejiang University); Deng Cai (Zhejiang University); Xiaofei He (Zhejiang University)<\/li>\n<li><strong>Conversational Recommender System<\/strong><br \/>\nYueming Sun (University of California, Santa Cruz); Yi Zhang (University of California, Santa Cruz)<\/li>\n<li><strong>Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems<\/strong><br \/>\nLiu Yang (University of Massachusetts Amherst); Minghui Qiu (Alibaba Group); Chen Qu (University of Massachusetts Amherst); Jiafeng Guo (Institute of Computing Technology); Yongfeng Zhang (Rutgers University); Bruce Croft (University of Massachusetts Amherst); Jun Huang (Alibaba Group); Haiqing Chen (Alibaba Group)<\/li>\n<li><strong>Chat More: Deepening and Widening the Chatting Topic via A Deep Model<\/strong><br \/>\nWenjie Wang (Shandong University); Minlie Huang (Tsinghua University); Xin-Shun Xu (Shandong University); Fumin Shen (University of Electronic Science and Technology of China); Liqiang Nie (Shandong University)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;p1&#8243;]<\/p>\n<p><span style=\"font-size: 12pt;\"><strong>Poster and Demo Reception 1<br \/>\nJuly 9 (Monday), 15:30 &#8211; 17:00, Ballroom (Floor 2)<br \/>\n<\/strong><\/span><\/p>\n<p>&nbsp;<\/p>\n<h4>\u00a0Short Papers<\/h4>\n<ul>\n<li>Pytrec_eval: An Extremely Fast Python Interface to trec_eval<\/li>\n<li>Split-Lists and Initial Thresholds for WAND-based Search<\/li>\n<li>Ontology Evaluation with Path-based Text-aware Entropy Computation<\/li>\n<li>Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method<\/li>\n<li>A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic<\/li>\n<li>Query Performance Prediction using Passage Information<\/li>\n<li>Users, Adaptivity, and Bad Abandonment<\/li>\n<li>Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs<\/li>\n<li>A Living Lab Study of Query Amendment in Job Search<\/li>\n<li>Attention-driven Factor Model for Explainable Personalized Recommendation<\/li>\n<li>IRevalOO: An Object Oriented Framework for Retrieval Evaluation<\/li>\n<li>Translating Representations of Knowledge Graphs with Neighbors<\/li>\n<li>Index Compression for BitFunnel Query Processing<\/li>\n<li>Large-Scale Image Retrieval with Elasticsearch<\/li>\n<li>A Co-Memory Network for Multimodal Sentiment Analysis<\/li>\n<li>Investigating User Perception of Gender Bias in Image Search<\/li>\n<li>Killing Two Birds With One Stone: Concurrent Ranking of Tags and Comments of Social Images<\/li>\n<li>Imagination Based Sample Construction for Zero-Shot Learning<\/li>\n<li>Parameterizing Kterm Hashing<\/li>\n<li>Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes\/No Questions to Reviewers<\/li>\n<li>An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings<\/li>\n<li>Toward an Interactive Patent Retrieval Framework based on Distributed Representations<\/li>\n<li>Consistency and Variation in Kernel Neural Ranking Model<\/li>\n<li>Review Sentiment-Guided Scalable Deep Recommender System<\/li>\n<li>Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia<\/li>\n<li>Towards Distributed Pairwise Ranking using Implicit Feedback<\/li>\n<li>Semantic Location in Email Query Suggestion<\/li>\n<li>GraphCAR: Content-aware Multimedia Recommendation with Graph Autoencoder<\/li>\n<li>Multi-level Abstraction Convolutional Model with Weak Supervision for Information Retrieval<\/li>\n<li>Analyzing and Characterizing User Intent in Information-seeking Conversations<\/li>\n<li>Modeling Multidimensional User Relevance in IR using Vector Spaces<\/li>\n<li>Are we on the Right Track? An Examination of Information Retrieval Methodologies<\/li>\n<li>Fine-Grained Information Identification in Health Related Posts<\/li>\n<li>Quantitative Information Extraction From Social Data<\/li>\n<li>Measuring Influence on Instagram: a Network-Oblivious Approach<\/li>\n<li>Event2Vec: Neural Embeddings for News Events<\/li>\n<li>Universal Approximation Functions for Fast Learning to Rank<\/li>\n<li>Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks<\/li>\n<li>Cross Domain Regularization for Neural Ranking Models using Adversarial Learning<\/li>\n<li>Affective Representations for Sarcasm Detection<\/li>\n<li>A User Study on Snippet Generation: Text Reuse vs. Paraphrases<\/li>\n<li>New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations<\/li>\n<li>Taxi or Hitchhiking: Predicting Passenger&#8217;s Preferred Service on Ride Sharing Platforms<\/li>\n<li>Towards Intent-Aware Contextual Music Recommendation: Initial Experiments<\/li>\n<li>Deep Domain Adaptation Based on Multi-layer Joint Kernelized Distance<\/li>\n<li>Do Not Pull My Data for Resale: Protecting Data Providers using Data Retrieval Pattern Analysis<\/li>\n<li>K-plet Recurrent Neural Networks for Sequential Recommendation<\/li>\n<li>Citation Worthiness of Sentences in Scientific Reports<\/li>\n<\/ul>\n<h4><\/h4>\n<h4>\u00a0Demos<\/h4>\n<ul>\n<li>SearchX: Empowering Collaborative Search Research<\/li>\n<li>A\/B Testing with APONE<\/li>\n<li>CoNEREL: Collective Information Extraction in News Articles<\/li>\n<li>A2A: Benchmark Your Clinical Decision Support Search<\/li>\n<li>An Information Retrieval Experiment Framework for Domain Specific Applications<\/li>\n<li>LogCanvas: Visualizing Search History Using Knowledge Graphs<\/li>\n<li>API Caveat Explorer: Surfacing Negative Usages from Practice<\/li>\n<li>SmartTable: A Spreadsheet Program with Intelligent Assistance<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s3a&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 3A: Social Good<br \/>\n10 July (Tuesday), 10:30 &#8211; 12:00, Hussey (Floor 2)<br \/>\nChair: David Carmel (Amazon Research)<br \/>\n<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs<\/strong><br \/>\nKoustav Rudra (Indian Institute of Technology Kharagpur, India); Pawan Goyal (Indian Institute of Technology Kharagpur, India); Niloy Ganguly (Indian Institute of Technology Kharagpur, India); Prasenjit Mitra (The Pennsylvania State University, University Park, PA, USA); Muhammad Imran (Qatar Computing Research Institute (HBKU), Doha, Qatar)<\/li>\n<li><strong>The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News<\/strong><br \/>\nNguyen Vo (Worcester Polytechnic Institute); Kyumin Lee (Worcester Polytechnic Institute)<\/li>\n<li><strong>DeepMob: Learning Deep Knowledge of Human Emergency Behavior and Mobility from Big and Heterogeneous Data Sources (TOIS)<\/strong><br \/>\nXuan Song (University of Tokyo), Ryosuke Shibasaki (University of Tokyo), Nicholos Jing Yuan (Microsoft Research), Xing Xie (Microsoft Research), Tao Li (Florida Intl. University and Nanjing University), Ryutaro Adachi (Zenrin DataCom Co.)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s3b&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 3B: Privacy<br \/>\n10 July (Tuesday), 10:30 &#8211; 12:00, Vanderberg (Floor 2)<br \/>\nChair: Grace Hui Yang (Georgetown University)<br \/>\n<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search<\/strong><br \/>\nWasi Uddin Ahmad (UC Los Angeles); Kai-Wei Chang (UC Los Angeles); Hongning Wang (University of Virginia)<\/li>\n<li><strong>A Personal Privacy Preserving Framework: I Let You Know Who Can See What<\/strong><br \/>\nXuemeng Song (Shandong University); Xiang Wang (National University of Singapore); Liqiang Nie (Shandong University); Xiangnan He (National University of Singapore); Zhumin Chen (Shandong University); Wei Liu (Tencent AI Lab)<\/li>\n<li><strong>SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining<\/strong><br \/>\nBenjamin Weggenmann (SAP SE); Florian Kerschbaum (University of Waterloo)<\/li>\n<li><strong>Privacy-aware Ranking with Tree Ensembles on the Cloud<\/strong><br \/>\nShiyu Ji (University of California, Santa Barbara); Daniel Agun (University of California, Santa Barbara); Jinjin Shao (University of California, Santa Barbara); Tao Yang (University of California, Santa Barbara)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s3c&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 3C: Question Answering<br \/>\nJuly 10 (Tuesday), 10:30 &#8211; 12:00, Michigan (Floor 2)<br \/>\nChair: Jianfeng Gao (Microsoft Research)<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Multihop Attention Networks for Question Answer Matching<\/strong><br \/>\nNam Khanh Tran (L3S Research Centre); Claudia Nieder\u00e9e (L3S Research Centre)<\/li>\n<li><strong>Ranking Documents by Answer-Passage Quality<\/strong><br \/>\nEvi Yulianti (RMIT University); Ruey-Cheng Chen (RMIT University); Falk Scholer (RMIT University); Bruce Croft (University of Massachusetts Amherst); Mark Sanderson (RMIT University)<\/li>\n<li><strong>Characterizing and Supporting Question Answering in Human-to-Human Communication<\/strong><br \/>\nXiao Yang (The Pennsylvania State University); Ahmed Hassan Awadallah (Microsoft); Madian Khabsa (Apple); Wei Wang (Microsoft); Miaosen Wang (Microsoft)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s3d&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 3D: Learning to Rank II<br \/>\nJuly 10 (Tuesday), 10:30 &#8211; 12:00, Mendelssohn Theatre<br \/>\nChair: Jamie Callan (Carnegie Mellon University)<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Adversarial Personalized Ranking for Recommendation<\/strong><br \/>\nXiangnan He (National University of Singapore); Zhankui He (Fudan University); Xiaoyu Du (University of Science and Technology of China); Tat-Seng Chua (National University of Singapore)<\/li>\n<li><strong>Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce<\/strong><br \/>\nLiang Wu (Arizona State University); Diane Hu (Etsy); Liangjie Hong (Etsy Inc.); Huan Liu (Arizona State University)<\/li>\n<li><strong>Modeling Diverse Relevance Patterns in Ad-hoc Retrieval<\/strong><br \/>\nYixing Fan (ict); Jiafeng Guo (ict); Yanyan Lan (ict); Jun Xu (ict); Chengxiang Zhai (Department of Computer Science University of Illinois at Urbana-Champaign); Xueqi Cheng (ict)<\/li>\n<li><strong>Fast ranking with additive ensembles of oblivious and non-oblivious regression trees (TOIS)<\/strong><br \/>\nDomenico Dato (Tiscali Italia S.p.A.), Claudio Lucchese (ISTI-CNR), Franco Maria Nardini (ISTI-CNR), Salvatore Orlando (Ca&#8217; Foscari University of Venice), Raffaele Perego (ISTI-CNR), Nicola Tonellotto (ISTI-CNR), Rossano Venturini (University of Pisa)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s4a&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 4A: Fairness &amp; Robustness<br \/>\nJuly 10 (Tuesday), 13:30 &#8211; 15:00, Hussey (Floor 2)<br \/>\nChair: Fernando Diaz (Spotify)<br \/>\n<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Unbiased Learning to Rank with Unbiased Propensity Estimation<\/strong><br \/>\nQingyao Ai (University of Massachusetts Amherst); Keping Bi (University of Massachusetts Amherst); Cheng Luo (Tsinghua University); Jiafeng Guo (Institute of Computing Technology, Chinese Academy of Sciences); W. Bruce Croft (University of Massachusetts Amherst)<\/li>\n<li><strong>Ranking Robustness under Adversarial Document Manipulations<\/strong><br \/>\nGregory Goren (Technion); Fiana Raiber (Yahoo Research); Moshe Tennenholtz (Technion); Oren Kurland (Technion)<\/li>\n<li><strong>Equity of Attention: Amortizing Individual Fairness in Rankings<\/strong><br \/>\nAsia J. Biega (Max Planck Institute for Informatics); Krishna P. Gummadi (MPI-SWS); Gerhard Weikum (Max Planck Institute for Informatics)<\/li>\n<li><strong>Should I Follow the Crowd? A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems<\/strong><br \/>\nRoc\u00edo Ca\u00f1amares (Universidad Aut\u00f3noma de Madrid); Pablo Castells (Universidad Aut\u00f3noma de Madrid)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s4b&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 4B: Behavior<br \/>\nJuly 10 (Tuesday), 13:30 &#8211; 15:00, Vandenberg (Floor 2)<br \/>\nChair: Diane Kelly (University of Tennessee)<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Constructing an Interaction Behavior Model for Web Image Search<\/strong><br \/>\nXiaohui Xie (Tsinghua University); Jiaxin Mao (Tsinghua University); Maarten de Rijke (University of Amsterdam); Ruizhe Zhang (Tsinghua University); Min Zhang (Tsinghua University); Shaoping Ma (Tsinghua University)<\/li>\n<li><strong>Between Clicks and Satisfaction: Study on Multi-Phase User Preferences and Satisfaction for Online News Reading<\/strong><br \/>\nHongyu Lu (Tsinghua University); Min Zhang (Tsinghua University); Shaoping Ma (Tsinghua University)<\/li>\n<li><strong>The effects of manipulating task determinability on search behaviors and outcomes<\/strong><br \/>\nRobert Capra (The University of North Carolina at Chapel Hill); Jaime Arguello (The University of North Carolina at Chapel Hill); Heather O&#8217;Brien (The University of British Columbia); Yuan Li (The University of North Carolina at Chapel Hill); Bogeum Choi (The University of North Carolina at Chapel Hill)<\/li>\n<li><strong>The effects of aggregated search coherence on search behavior (TOIS)<\/strong><br \/>\nJaime Arguello (Univ. of North Carolina at Chapel Hill), Rob Capra (Univ. of North Carolina at Chapel Hill)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s4c&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 4C: Medical &amp; Legal IR<br \/>\nJuly 10 (Tuesday), 13:30 &#8211; 15:00, Michigan (Floor 2)<br \/>\nChair: Isabelle Moulinier (Capital One)<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Seed-driven Document Ranking for Systematic Reviews in Evidence-Based Medicine<\/strong><br \/>\nGrace E. Lee (Nanyang Technological University); Aixin Sun (Nanyang Technological University)<\/li>\n<li><strong>A Dataset and an Examination of Identifying Passages for Due Diligence<\/strong><br \/>\nAdam Roegiest (Kira Systems); Alexander Hudek (Kira Systems); Anne McNulty (Kira Systems)<\/li>\n<li><strong>Generating Better Queries for Systematic Reviews<\/strong><br \/>\nHarrisen Scells (Queensland University of Technology); Guido Zuccon (Queensland University of Technology)<\/li>\n<li><strong>Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles<\/strong><br \/>\nPengfei Wang (Beijing University of Posts and Telecommunications); Ze Yang (Beijing University of Post and Telecommunications); Shu Zi (Chinese Academy of Science); Yongfeng Zhang (Rutgers University); Lei Zhang (Beijing University of Post and Telecommunications); Shaozhang Niu (Beijing University of Post and Telecommunications)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s4d&#8221;]<\/p>\n<p><span style=\"font-size: 12pt;\"><strong>Session 4D: Recommender Systems &#8211; Methods<br \/>\nJuly 10 (Tuesday), 13:30 &#8211; 15:00, Mendelssohn Theatre<br \/>\nChair: Jun Xu (Chinese Academy of Sciences)<\/strong><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Learning Contextual Bandits in a Non-stationary Environment<\/strong><br \/>\nQingyun Wu (University of Virginia); Naveen Iyer (University of Virginia); Hongning Wang (University of Virginia)<\/li>\n<li><strong>Improving Sequential Recommendation with Knowledge-enhanced Memory Networks<\/strong><br \/>\nJin Huang (School of Information, Renmin University of China); Wayne Xin Zhao (School of Information, Renmin University of China); Hongjian Dou (School of Information, Renmin University of China); Ji-Rong Wen (School of Information, Renmin University of China); Edward Y. Chang (Research &amp; Innovation, HTC)<\/li>\n<li><strong>Collaborative Memory Network for Recommendation Systems<\/strong><br \/>\nTravis Ebesu (Santa Clara University); Bin Shen (Google); Yi Fang (Santa Clara University)<\/li>\n<li><strong>Streaming Ranking Based Recommender Systems<\/strong><br \/>\nWeiqing Wang (The University of Queensland); Hongzhi Yin (The University of Queensland); Zi Huang (The University of Queensland); Qinyong Wang (The University of Queensland); Xingzhong Du (The University of Queensland); Quoc Viet Hung Nguyen (Griffith University)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;p2&#8243;]<\/p>\n<p><span style=\"font-size: 12pt;\"><strong>Poster and Demo Reception 2<br \/>\nJuly 10 (Tuesday), 15:30 &#8211; 17:00, Ballroom (Floor 2)<\/strong><\/span><\/p>\n<p>&nbsp;<\/p>\n<h4>Short Papers<\/h4>\n<ul>\n<li>Ad Click Prediction in Sequence with Long Short-Term Memory Networks: An Externality-aware Model<\/li>\n<li>Assessing the Readability of Web Search Results for Searchers with Dyslexia<\/li>\n<li>Comparing Two Binned Probability Distributions for Information Access Evaluation<\/li>\n<li>Robust Asymmetric Recommendation via Min-Max Optimization<\/li>\n<li>From the PRP to the Low Prior Discovery Recall Principle for Recommender Systems<\/li>\n<li>Deep Learning for Epidemiological Predictions<\/li>\n<li>Query Variation Performance Prediction for Systematic Reviews<\/li>\n<li>Attention-based Hierarchical Neural Query Suggestion<\/li>\n<li>Texygen: A Benchmarking Platform for Text Generation Models<\/li>\n<li>CA-LSTM: Search Task Identification with Context Attention based LSTM<\/li>\n<li>On the Volatility of Commercial Search Engines and its Impact on Information Retrieval Research<\/li>\n<li>Deep Semantic Text Hashing with Weak Supervision<\/li>\n<li>Who is the Mr. Right for Your Brand? &#8212; Discovering Brand Key Assets via Multi-modal Asset-aware Projection<\/li>\n<li>Sogou-QCL: A New Dataset with Click Relevance Label<\/li>\n<li>Towards Designing Better Session Search Evaluation Metrics<\/li>\n<li>Predicting Contradiction Intensity: Low, Strong or Very Strong?<\/li>\n<li>A Large-Scale Study of Mobile Search Examination Behavior<\/li>\n<li>Ranking Without Learning: Towards Historical Relevance-based Ranking of Social Images<\/li>\n<li>Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate<\/li>\n<li>How Much is Too Much? Whole Session vs. First Query Behaviors in Task Type Prediction<\/li>\n<li>Effectiveness Evaluation with a Subset of Topics: A Practical Approach<\/li>\n<li>Locality-adapted Kernel Densities for Tweet Localization<\/li>\n<li>Related or Duplicate: Distinguishing Similar CQA Questions via Convolutional Neural Networks<\/li>\n<li>Procrastination is the Thief of Time: Evaluating the Effectiveness of Proactive Search Systems<\/li>\n<li>Convolution-based Memory Network for Aspect-based Sentiment Analysis<\/li>\n<li>WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval<\/li>\n<li>Beyond Pooling<\/li>\n<li>Testing the Cluster Hypothesis with Focused and Graded Relevance Judgments<\/li>\n<li>Query Performance Prediction Focused on Summarized Letor Features<\/li>\n<li>A Study of Per-Topic Variance on System Comparison<\/li>\n<li>Online Job Search: Study of Users&#8217; Search Behavior using Search Engine Query Logs<\/li>\n<li>Identifying and Modeling Information Resumption Behaviors in Cross-Device Search<\/li>\n<li>Optimizing Query Evaluations Using Reinforcement Learning for Web Search<\/li>\n<li>SAAN: A Sentiment-Aware Attention Network for Sentiment Analysis<\/li>\n<li>An Attribute-aware Neural Attentive Model for Next Basket Recommendation<\/li>\n<li>Characterizing Question Facets for Complex Answer Retrieval<\/li>\n<li>A Test Collection for Coreferent Mention Retrieval<\/li>\n<li>What Do Users Say to Their TVs? An Analysis of Voice Queries to Entertainment Systems<\/li>\n<li>Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering<\/li>\n<li>Explaining Controversy on Social Media via Stance Summarization<\/li>\n<li>Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks<\/li>\n<li>Multi-Target Stance Detection via a Dynamic Memory-Augmented Network<\/li>\n<li>Query Performance Prediction and Effectiveness Evaluation Without Relevance Judgments: Two Sides of the Same Coin<\/li>\n<li>A New Term Frequency Normalization Model for Probabilistic Information Retrieval<\/li>\n<li>Transparent Tree Ensembles<\/li>\n<li>A Taxonomy of Queries for E-commerce Search<\/li>\n<li>Theoretical Analysis of Interdependent Constraints in Pseudo-Relevance Feedback<\/li>\n<li>Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only<\/li>\n<li>Toward Voice Query Clarification<\/li>\n<li>A Test Collection for Evaluating Legal Case Law Search<\/li>\n<\/ul>\n<h3><\/h3>\n<h4>Demos<\/h4>\n<ul>\n<li>Interactive Symptom Elicitation for Diagnostic Information Retrieval<\/li>\n<li>Sover! Social Media Observer<\/li>\n<li>Combining Terrier with Apache Spark to create Agile Experimental Information Retrieval Pipelines<\/li>\n<li>Dynamic Composition of Question Answering Pipelines with Frankenstein<\/li>\n<li>A System for Efficient High-Recall Retrieval<\/li>\n<li>HyPlag: A Hybrid Approach to Academic Plagiarism Detection<\/li>\n<li>RecAdvisor: Criteria-based Ph.D. Supervisor Recommendation<\/li>\n<li>Minority Report by Lemur: Supporting Search Engine with Virtual Reality<\/li>\n<li>Hide-n-Seek: An Intent-aware Privacy Protection Plugin for Personalized Web Search<\/li>\n<li>Vote Goat: Conversational Movie Recommendation<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s5a&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 5A: Location and Trajectory<br \/>\nJuly 11 (Wednesday), 9:00 &#8211; 10:30, Hussey (Floor 2)<br \/>\nChair: Dawei Yin (JD.com)<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Torch: A Search Engine for Trajectory Data<\/strong><br \/>\nSheng Wang (RMIT University); Zhifeng Bao (RMIT University); J. Shane Culpepper (RMIT University); Zizhe Xie (Nanjing University); Qizhi Liu (Nanjing University); Xiaolin Qin (Nanjing University of Aeronautics and Astronautics)<\/li>\n<li><strong>Trip recommendation meets real-world constraints (TOIS)<\/strong><br \/>\nChenyi Zhang (Simon Fraser University), Hongwei Liang (Simon Fraser University), Ke Wang (Simon Fraser University)<\/li>\n<li><strong>Top-k Route Search through Submodularity Modeling of Recurrent POI Features<\/strong><br \/>\nHongwei Liang (Simon Fraser University); Ke Wang (Simon Fraser University)<\/li>\n<li><strong>Contextual Attention Recurrent Architecture for Context-Aware Venue Recommendation<\/strong><br \/>\nJarana Manotumruksa (University of Glasgow); Craig Macdonald (University of Glasgow); Iadh Ounis (University of Glasgow)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s5b&#8221;]<\/p>\n<p><span style=\"font-size: 12pt;\"><strong>Session 5B: Entities<br \/>\nJuly 11 (Wednesday), 9:00 &#8211; 10:30, Vandenberg (Floor 2)<br \/>\nChair: Arjen de Vries (Radboud University)<\/strong><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach<\/strong><br \/>\nJiaming Shen (University of Illinois at Urbana-Champaign); Jinfeng Xiao (University of Illinois at Urbana-Champaign); Xinwei He (University of Illinois at Urbana-Champaign); Jingbo Shang (University of Illinois at Urbana-Champaign); Saurabh Sinha (University of Illinois at Urbana-Champaign); Jiawei Han (University of Illinois at Urbana-Champaign)<\/li>\n<li><strong>Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling<\/strong><br \/>\nChenyan Xiong (Carnegie Mellon University); Zhengzhong Liu (Carnegie Mellon University); Jamie Callan (Carnegie Mellon University); Tie-Yan Liu (Microsoft)<\/li>\n<li><strong>Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution<\/strong><br \/>\nJiacheng Huang (Nanjing University); Wei Hu (Nanjing University); Haoxuan Li (Nanjing University); Yuzhong Qu (Nanjing University)<\/li>\n<li><strong>On-the-fly Table Generation<\/strong><br \/>\nShuo Zhang (University of Stavanger); Krisztian Balog (University of Stavanger)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s5c&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 5C: New Metrics<br \/>\nJuly 11 (Wednesday), 9:00 &#8211; 10:30, Michigan (Floor 2)<br \/>\nChair: Tetsuya Sakai (Waseda University)<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Measuring the Utility of Search Engine Result Pages<\/strong><br \/>\nLeif Azzopardi (University of Strathclyde); Paul Thomas (Microsoft); Nick Craswell (Microsoft)<\/li>\n<li><strong>How Well do Offline and Online Evaluation Metrics Measure User Satisfaction in Web Image Search?<\/strong><br \/>\nFan Zhang (Tsinghua University); Ke Zhou (University of Nottingham); Yunqiu Shao (Tsinghua University); Cheng Luo (Tsinghua University); Min Zhang (Tsinghua University); Shaoping Ma (Tsinghua University)<\/li>\n<li><strong>An Axiomatic Analysis of Diversity Evaluation Metrics: Introducing the Rank-Biased Utility Metric<\/strong><br \/>\nEnrique Amig\u00f3 (UNED); Damiano Spina (RMIT University); Jorge Carrillo-De-Albornoz (UNED)<\/li>\n<li><strong>Incorporating user expectation and behavior into the measurement of search effectiveness (TOIS)<\/strong><br \/>\nAlistair Moffat (University of Melbourne), Peter Bailey (Microsoft), Falk Scholer (RMIT University), Paul Thomas (Microsoft)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s5d&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 5D: Recommender Systems &#8211; Applications<br \/>\nJuly 11 (Wednesday), 9:00 &#8211; 10:30, Mendelssohn Theatre<br \/>\nChair: Yi Zhang (University of California Santa Cruz)<br \/>\n<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph<\/strong><br \/>\nZhuoren Jiang (Sun Yat-sen University); Yue Yin (Beijing Normal University); Liangcai Gao (Peking University); Yao Lu (Sun Yat-sen University); Xiaozhong Liu (Alibaba Group)<\/li>\n<li><strong>Attentive Group Recommendation<\/strong><br \/>\nDa Cao (Hunan University); Xiangnan He (National University of Singapore); Lianhai Miao (Hunan University); Yahui An (University of Electronic Science and Technology of China); Chao Yang (Hunan University); Richang Hong (Hefei University of Technology)<\/li>\n<li><strong>Calendar-Aware Proactive Email Recommendation<\/strong><br \/>\nQian Zhao (University of Minnesota); Paul Bennett (Microsoft); Adam Fourney (Microsoft); Anne Thompson (Microsoft); Shane Williams (Microsoft); Adam D. Troy (Microsoft); Susan Dumais (Microsoft)<\/li>\n<li><strong>Structuring Wikipedia Articles with Section Recommendations<\/strong><br \/>\nTiziano Piccardi (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne); Michele Catasta (Stanford University); Leila Zia (Wikimedia Foundation); Robert West (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s6a&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 6A: Evaluation<br \/>\nJuly 11 (Wednesday), 11:00 &#8211; 12:30, Hussey (Floor 2)<br \/>\nChair: Mark Sanderson (RMIT University)<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>On Fine-Grained Relevance Scales<\/strong><br \/>\nKevin Roitero (University of Udine); Eddy Maddalena (University of Southampton); Gianluca Demartini (The University of Queensland); Stefano Mizzaro (University of Udine)<\/li>\n<li><strong>Automatic Ground Truth Expansion for Timeline Evaluation<\/strong><br \/>\nRichard Mccreadie (University of Glasgow); Craig Macdonald (University of Glasgow); Iadh Ounis (University of Glasgow)<\/li>\n<li><strong>Stochastic Simulation of Test Collections: Evaluation Scores<\/strong><br \/>\nJuli\u00e1n Urbano (Delft University of Technology); Thomas Nagler (Technical University of Munich)<\/li>\n<li><strong>Offline Comparative Evaluation with Incremental, Minimally-Invasive Online Feedback<\/strong><br \/>\nBen Carterette (University of Delaware); Praveen Chandar (Spotify Research)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s6b&#8221;]<\/p>\n<p><span style=\"font-size: 12pt;\"><strong>Session 6B: Hashing &amp; Embedding<br \/>\nJuly 11 (Wednesday), 11:00 &#8211; 12:30, Vanderberg (Floor 2)<br \/>\nChair: Nick Craswell (Microsoft)<\/strong><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>BiNE: Bipartite Network Embedding<\/strong><br \/>\nMing Gao (East China Normal University); Leihui Chen (East China Normal University); Xiangnan He (National University of Singapore); Aoying Zhou (East China Normal University)<\/li>\n<li><strong>Deep Domain Adaptation Hashing with Adversarial Learning<\/strong><br \/>\nFuchen Long (University of Science and Technology of China); Ting Yao (Microsoft); Qi Dai (Microsoft); Xinmei Tian (University of Science and Technology of China); Jiebo Luo (University of Rochester); Tao Mei (Microsoft)<\/li>\n<li><strong>Fast Scalable Supervised Hashing<\/strong><br \/>\nXin Luo (Shandong University); Liqiang Nie (Shandong University); Xiangnan He (National University of Singapore); Ye Wu (Shandong University); Zhen-Duo Chen (Shandong University); Xin-Shun Xu (Shandong University)<\/li>\n<li><strong>Hilbert Exclusion: Improved Metric Search Through Finite Isometric Embeddings (TOIS)<\/strong><br \/>\nRichard Connor (University of Strathclyde), Franco Alberto Cardillo (National Research Council of Italy &#8211; CNR), Lucia Vadicamo (National Research Council of Italy &#8211; CNR), Fausto Rabitti (National Research Council of Italy &#8211; CNR)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s6c&#8221;]<\/p>\n<p><span style=\"font-size: 12pt;\"><strong>Session 6C: Knowledge bases\/graphs<br \/>\nJuly 11 (Wednesday), 11:00 &#8211; 12:30, Michigan (Floor 2)<br \/>\nChair: Krisztian Balog (University of Stavanger)<\/strong><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Enriching Taxonomies With Functional Domain Knowledge<\/strong><br \/>\nNikhita Vedula (The Ohio State University); Patrick K. Nicholson (Nokia Bell Labs); Deepak Ajwani (Nokia Bell Labs); Sourav Dutta (Nokia Bell Labs); Alessandra Sala (Nokia Bell Labs); Srinivasan Parthasarathy (The Ohio State University)<\/li>\n<li><strong>On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols<\/strong><br \/>\nJiajie Mei (Beihang University); Richong Zhang (Beihang University); Yongyi Mao (University of Ottawa); Ting Deng (Beihang University)<\/li>\n<li><strong>Weakly-supervised Contextualization of Knowledge Graph Facts<\/strong><br \/>\nNikos Voskarides (University of Amsterdam); Edgar Meij (Bloomberg L.P.); Ridho Reinanda (Bloomberg L.P.); Abhinav Khaitan (Bloomberg L.P.); Miles Osborne (Bloomberg L.P.); Giorgio Stefanoni (Bloomberg L.P.); Prabhanjan Kambadur (Bloomberg L.P.); Maarten de Rijke (University of Amsterdam)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s6d&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 6D: Mobile User Behavior<br \/>\nJuly 11 (Wednesday), 11:00 &#8211; 12:30, Mendelssohn Theatre<br \/>\nChair: Makoto P. Kato (Kyoto University)<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Constructing Click Models for Mobile Search<\/strong><br \/>\nJiaxin Mao (Tsinghua University); Cheng Luo (Tsinghua University); Min Zhang (Tsinghua University); Shaoping Ma (Tsinghua University)<\/li>\n<li><strong>Update Delivery Mechanisms for Prospective Information Needs: An Analysis of Attention in Mobile Users<\/strong><br \/>\nJimmy Lin (University of Waterloo); Salman Mohammed (University of Waterloo); Royal Sequiera (University of Waterloo); Luchen Tan (University of Waterloo)<\/li>\n<li><strong>User modeling on Demographic attributes in big Mobile Social Networks (TOIS)<\/strong><br \/>\nYuxiao Dong (University of Notre Dame), Nitesh V. Chawla (University of Notre Dame), Jie Tang (Tsinghua University), Yang Yang (Zhejiang University), Yang Yang (Northwestern University)<\/li>\n<li><strong>Derive user preferences of mobile apps from their management activities (TOIS)<\/strong><br \/>\nXuanzhe Liu (Peking University), Wei Ai (University of Michigan), Huoran Li (Peking University), Jian Tang (University of Michigan), Gang Huang (Peking University), Feng Feng (Wandoujia Lab), Qiaozhu Mei (University of Michigan)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s7a&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 7A: Crowdsourcing &amp; Assessment<br \/>\nJuly 11 (Wednesday), 14:30 &#8211; 15:40, Hussey (Floor 2)<br \/>\nChair: Mark Smucker (University of Waterloo)<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Item Retrieval as Utility Estimation<\/strong><br \/>\nShawn R. Wolfe (NASA); Yi Zhang (University of California, Santa Cruz)<\/li>\n<li><strong>Crowd vs. Expert: What Can Relevance Judgment Rationales Teach Us About Assessor Disagreement?<\/strong><br \/>\nMucahid Kutlu (Qatar University); Tyler McDonnell (The University of Texas at Austin); Yassmine Barkallah (Qatar University); Tamer Elsayed (Qatar University); Matthew Lease (The University of Texas at Austin)<\/li>\n<li><strong>Curious Cart &#8211; Mobile context-aware conversational crowdsourcing knowledge acquisition (TOIS)<\/strong><br \/>\nLuka Brade\u0161ko (Jo\u017eef Stefan Institute and Jo\u017eef Stefan Postgraduate School), Michael Witbrock (IBM Thomas J Watson Research Center), Janez Starc (Jo\u017eef Stefan Institute and Jo\u017eef Stefan Postgraduate School), Zala Herga (Jo\u017eef Stefan Institute and Jo\u017eef Stefan Postgraduate School), Marko Grobelnik (Jo\u017eef Stefan Institute), Dunja Mladeni\u0107 (Jo\u017eef Stefan Institute and Jo\u017eef Stefan Postgraduate School)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s7b&#8221;]<\/p>\n<p><span style=\"font-size: 12pt;\"><strong>Session 7B: Content &amp; Semantics<br \/>\nJuly 11 (Wednesday), 14:30 &#8211; 15:40, Vandernberg (Floor 2)<br \/>\nChair: James Allan (University of Massachusetts Amherst)<\/strong><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network<\/strong><br \/>\nQin Chen (East China Normal University); Qinmin Hu (East China Normal University); Jimmy Huang (University of York); Liang He (East China Normal University)<\/li>\n<li><strong>Identify Shifts of Word Semantics through Bayesian Surprise<\/strong><br \/>\nZhuofeng Wu (Zhejiang University); Cheng Li (University of Michigan); Zhe Zhao (University of Michigan); Fei Wu (Zhejiang University); Qiaozhu Mei (University of Michigan)<\/li>\n<li><strong>From Royals to Vegans: Characterizing Question Trolling on a Community Question Answering Website<\/strong><br \/>\nIdo Guy (Ben-Gurion University of the Negev &amp; eBay Research); Bracha Shapira (Ben-Gurion University of the Negev)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221; module_id=&#8221;s7c&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Session 7C: Interfaces<br \/>\nJuly 11 (Wednesday), 14:30 &#8211; 15:40, Michigan (Floor 2)<br \/>\nChair: Rob Capra (University of North Carolina at Chapel Hill)<\/span><\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Ranking for Relevance and Display Preferences in Complex Presentation Layouts<\/strong><br \/>\nHarrie Oosterhuis (University of Amsterdam); Maarten de Rijke (University of Amsterdam)<\/li>\n<li><strong>Natural Language Interfaces with Fine-Grained User Interaction: A Case Study on Web APIs<\/strong><br \/>\nYu Su (University of California Santa Barbara); Ahmed Hassan Awadallah (Microsoft); Miaosen Wang (Microsoft); Ryen White (Microsoft)<\/li>\n<li><strong>Search by screenshots for universal article clipping in mobile apps (TOIS)<\/strong><br \/>\nKazutoshi Umemoto (Kyoto University), Ruihua Song (Microsoft Research Asia), Jian-Yun Nie (University of Montreal), Xing Xie (Microsoft Research Asia), Katsumi Tanaka (Kyoto University), Yong Rui (Microsoft Research Asia)<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Text&#8221;]<\/p>\n<p><strong><span style=\"font-size: 12pt;\">Future of IR Panel<br \/>\nJuly 11 (Wednesday), 16:10 &#8211; 17:15, Mendelssohn Theatre<\/span><\/strong><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221;][et_pb_row admin_label=&#8221;row&#8221;][et_pb_column type=&#8221;4_4&#8243; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221;][et_pb_text admin_label=&#8221;Header&#8221;] Program at a Glance&nbsp; [\/et_pb_text][et_pb_text admin_label=&#8221;Text: Timetable&#8221;] &nbsp; Sunday, July 8 8:00 AM Registration 9:00 AM &ndash; &nbsp; &nbsp; &nbsp; 10:00 AM Tutorials &nbsp;&nbsp; Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between&nbsp;: Henderson (Floor 3) Probabilistic Topic Models for Text Data Retrieval and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":149,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-293","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/sigir.org\/sigir2018\/wp-json\/wp\/v2\/pages\/293","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/sigir.org\/sigir2018\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/sigir.org\/sigir2018\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/sigir.org\/sigir2018\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/sigir.org\/sigir2018\/wp-json\/wp\/v2\/comments?post=293"}],"version-history":[{"count":277,"href":"http:\/\/sigir.org\/sigir2018\/wp-json\/wp\/v2\/pages\/293\/revisions"}],"predecessor-version":[{"id":358,"href":"http:\/\/sigir.org\/sigir2018\/wp-json\/wp\/v2\/pages\/293\/revisions\/358"}],"up":[{"embeddable":true,"href":"http:\/\/sigir.org\/sigir2018\/wp-json\/wp\/v2\/pages\/149"}],"wp:attachment":[{"href":"http:\/\/sigir.org\/sigir2018\/wp-json\/wp\/v2\/media?parent=293"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}