Full Research Papers A Capsule Network for Recommendation and Explaining What You Like and Dislike Chenliang Li, Cong Quan, Peng Li, Yunwei Qi, Yuming Deng and Libing Wu Recommendation Systems | User Reviews | Deep Learning A Collaborative Session-based Recommendation Approach with Parallel Memory Modules Meirui Wang, Pengjie Ren, Lei Mei, Zhumin Chen, Jun Ma and Maarten de Rijke Collaborative modeling | Session-based recommendation | Memory network A General Framework for Counterfactual Learning-to-Rank Aman Agarwal, Kenta Takatsu, Ivan Zaitsev and Thorsten Joachims Unbiased learning to rank | Discounted Cumulative Gain | counterfactual inference A Neural Influence Diffusion Model for Social Recommendation Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang and Meng Wang social diffusion | social recommendation | influence propagation Accelerated Query Processing Via Similarity Score Prediction Matthias Petri, Alistair Moffat, Joel Mackenzie, Shane Culpepper and Daniel Beck inverted index | query processing | dynamic pruning | WAND processing | efficiency | web search Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection Di Liang, Fubao Zhang, Weidong Zhang, Qi Zhang, Jinlan Fu, Minlong Peng, Tao Gui and Xuanjing Huang duplicate question detection | adaptive multi-attention | community-based question answer Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation Thanh Tran, Renee Sweeney and Kyumin Lee recommendation | memory metric based attention | automatic playlist continuation | mahalanobis distance | adversarial learning An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation Chong Chen, Min Zhang, Chenyang Wang, Weizhi Ma, Minming Li, Yiqun Liu and Shaoping Ma Recommender Systems | Adaptive Transfer Learning | Whole-data based Learning | Social Connections | Implicit Feedback Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs Xiaolu Lu, Soumajit Pramanik, Rishiraj Saha Roy, Abdalghani Abujabal, Yafang Wang and Gerhard Weikum Question answering from the Web | Direct answers | Complex questions | Group Steiner Trees Asking Clarifying Questions in Open-Domain Information-Seeking Conversations Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani and Bruce Croft conversational search | clarifying questions | ad-hoc retrieval Bayesian Personalized Feature Interaction Selection for Factorization Machines Yifan Chen, Pengjie Ren, Yang Wang and Maarten de Rijke Personalized Feature Interaction Selection | Bayesian Variable Selection | Factorization Machines | Recommender Systems Bridging Gaps: Predicting User and Task Characteristics from Partial User Information Matthew Mitsui and Chirag Shah task prediction | task classification | interactive information retrieval | task type | user behavior | structure learning | bayesian networks Compositional Coding for Collaborative Filtering Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun and Steven C.

The Importance of Interaction for Information Retrieval Monday 22, 2019 Bruce Croft University of Massachusetts Amherst and RMIT University USA/Australia Website Abstract.There has historically been a divide between the user-oriented and system-oriented research communities in information retrieval. In my opinion, this divide is based primarily on a difference in viewpoint about the relative importance of understanding how people search for information compared to developing new retrieval models and ranking algorithms.