The Best Student Paper is presented to the author of the best paper written solely or primarily by a student. These awards are only given in years, where the Best Paper award is not student-authored.
Year | Authors | Citation |
---|---|---|
2023 | Alireza Salemi Juan Altmayer Pizzorno Hamed Zamani |
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering |
2021 | Leigang Qu Meng Liu Jianlong Wu Zan Gao Liqiang Nie |
Dynamic Modality Interaction Modeling for Image-Text Retrieval |
2016 | Alexey Borisov Ilya Markov Maarten de Rijke Pavel Serdyukov |
A Context-aware Time Model for Web Search |
2015 | Eugene Kharitonov Aleksandr Vorobev Craig Macdonald Pavel Serdyukov Iadh Ounis |
Sequential Testing for Early Stopping of Online Experiments For a paper that extends sequential statistical testing procedures by adjusting stopping thresholds based on observed log data, and demonstrates how this significantly reduce the time required for online A/B and interleaving experiments. |
2014 | Dmitry Lagun Chih-Hung Hsieh Dale Webster Vidhya Navalpakkam |
Towards better measurement of attention and satisfaction in mobile search For a paper that addresses the problem of no clicks in answer-like mobile search, demonstrating viewport, measurable at large-scale, as a strong and reliable signal of the quality of a search result, through carefully designed experimentation. |
2013 | Karthik Raman Paul N. Bennett Kevyn Collins-Thompson |
Toward Whole-Session Relevance: Exploring Intrinsic Diversity in Web Search For a paper that addresses the role that search has within a user’s whole information-seeking session, identifying signals in a user’s search session which can help to promote diversity in the results of web search. |
2012 | Shuzi Niu Jiafeng Guo Yanyan Lan Xueqi Cheng |
Top-k learning to rank: labeling, ranking and evaluation Selected for proposing a novel top-k labeling strategy for efficiently obtaining labeled data for learning to rank in information retrieval and proposing a novel learning to rank method to effectively learn from such a new form of relevance judgments. |
2011 | Shuang-Hong Yang Bo Long Alexander J. Smola Hongyuan Zha Zhaohui Zheng |
Collaborative Competitive Filtering: Learning Recommender using Context of User Choice |
2010 | Ioannis Arapakis Konstantinos Athanasakos Joemon M. Jose |
A Comparison of General vs. Personalized Affective Models for the Prediction of Topical Relevance |
2009 | Jaime Arguello Fernando Diaz Jamie Callan Jean-Francois Crespo |
Sources of evidence for vertical selection |
2008 | Yuting Liu Bin Gao Tie-Yan Liu Ying Zhang Zhiming Ma Shuyuan He Hang Li |
BrowseRank: Letting Web Users Vote for Page Importance |
2007 | D. Sculley Gabriel Wachman |
Relaxed online Support Vector Machines for spam filtering |
2006 | Ben Carterette James Allan Ramesh Sitaraman |
Minimal Test Collections for Retrieval Evaluation |
2005 | Donald Metzler Bruce Croft |
A Markov random field model for term dependencies |
2004 | Hui Fang Tao Tao ChengXiang Zhai |
A Formal Study of Information Retrieval Heuristics |
2003 | Stefanie Tellex Boris Katz Jimmy Lin Aaron Fernandes Gregory Marton |
Quantitative evaluation of passage retrieval algorithms for question answering |
2002 | Yi Zhang Jamie Callan Thomas Minka |
Novelty and redundancy detection in adaptive filtering |
2001 | Adnike Lam-Adesina Gareth Jones |
Applying Summarization Techniques for Term Selection in Relevance Feedback |
2000 | Ilmerio Reis da Silva Berthier Ribeiro-Neto Pavel Calado Edleno Moura Nivio Ziviani |
Link-based and content-based evidential information in a belief network model. |
1999 | Owen de Kretser Alistair Moffat |
Efficient document presentation with a locality-based similarity heuristic |
1998 | Martin Wechsler Eugen Munteanu Peter Schaeuble |
New techniques for open-vocabulary spoken document retrieval |
1997 | Lisa Ballesteros Bruce Croft |
Phrasal translation and query expansion techniques for cross-language information retrieval |
1996 | Amit Singhal Chris Buckley Mandar Mitra |
Pivoted length document normalization |
1995* | Hinrich Schuetze Jan Pedersen David Hull |
A comparison of classifiers and document representations for the routing problem. |
Eric Brown |
Fast evaluation of structured queries for information retrieval. |
* co-winners
Honorable Mentions
Year | Authors | Citation |
---|---|---|
2016 | Haoran Wang Chenliang Li Zhiqian Zhang Aixin Sun Zongyang Ma |
Topic Modeling for Short Texts with Auxiliary Word Embeddings |