Table of Contents

• Towards an Open-Doman Dialog SystemJianfeng Gao. 1-2 [doi]
• Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now)Alberto Purpura, Marco Maggipinto, Gianmaria Silvello, Gian Antonio Susto. 3-10 [doi]
• Tangent-CFT: An Embedding Model for Mathematical FormulasBehrooz Mansouri, Shaurya Rohatgi, Douglas W. Oard, Jian Wu 0006, C. Lee Giles, Richard Zanibbi. 11-18 [doi]
• Learning a Better Negative Sampling Policy with Deep Neural Networks for SearchDaniel Cohen, Scott M. Jordan, W. Bruce Croft. 19-26 [doi]
• Relevance Modeling with Multiple Query VariationsXiaolu Lu 0002, Oren Kurland, J. Shane Culpepper, Nick Craswell, Ofri Rom. 27-34 [doi]
• Modelling Dynamic Interactions Between Relevance DimensionsSagar Uprety, Shahram Dehdashti, Lauren Fell, Peter Bruza, Dawei Song 0001. 35-42 [doi]
• A Study of Query Performance Prediction for Answer Quality DeterminationHaggai Roitman, Shai Erera, Guy Feigenblat. 43-46 [doi]
• A Comparative Analysis of Human and Automatic Query VariantsBinsheng Liu, Nick Craswell, Xiaolu Lu 0002, Oren Kurland, J. Shane Culpepper. 47-50 [doi]
• Incorporating Hierarchical Domain Information to Disambiguate Very Short QueriesHamed R. Bonab, Mohammad Aliannejadi, John Foley, James Allan. 51-54 [doi]
• Performance Prediction for Non-Factoid Question AnsweringHelia Hashemi, Hamed Zamani, W. Bruce Croft. 55-58 [doi]
• Utilizing Passages in Fusion-based Document RetrievalHaggai Roitman, Yosi Mass. 59-66 [doi]
• Integrated Learning of Features and Ranking Function in Information RetrievalYifan Nie, Jiyang Zhang, Jian-Yun Nie. 67-74 [doi]
• An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary RelevanceSebastian Bruch, Xuanhui Wang, Michael Bendersky, Marc Najork. 75-78 [doi]
• An Assumption-Free Approach to the Dynamic Truncation of Ranked ListsYen-Chieh Lien, Daniel Cohen, W. Bruce Croft. 79-82 [doi]
• What Do We Mean by Theory in Information Retrieval?Diane Kelly. 83 [doi]
• Learning Groupwise Multivariate Scoring Functions Using Deep Neural NetworksQingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork. 85-92 [doi]
• Unsupervised Story Comprehension with Hierarchical Encoder-DecoderBingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Kang Liu 0001, Zhixing Tian, Jun Zhao 0001. 93-100 [doi]
• Listwise Neural Ranking ModelsRazieh Rahimi, Ali Montazeralghaem, James Allan. 101-104 [doi]
• Neural Document Expansion with User FeedbackYue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu 0001. 105-108 [doi]
• From a User Model for Query Sessions to Session Rank Biased Precision (sRBP)Aldo Lipani, Ben Carterette, Emine Yilmaz. 109-116 [doi]
• Anderson and Krathwohl's Two-Dimensional Taxonomy Applied to Task Creation and Learning AssessmentKelsey Urgo, Jaime Arguello, Robert Capra. 117-124 [doi]
• Investigating the Reliability of Click ModelsJiaxin Mao, Zhumin Chu, Yiqun Liu, Min Zhang, Shaoping Ma. 125-128 [doi]
• Simulating CLIR Translation Resource Scarcity using High-resource LanguagesHamed R. Bonab, James Allan, Ramesh K. Sitaraman. 129-136 [doi]
• Term Discrimination Value for Cross-Language Information RetrievalAli Montazeralghaem, Razieh Rahimi, James Allan. 137-140 [doi]
• DC3 - A Diagnostic Case Challenge Collection for Clinical Decision SupportCarsten Eickhoff, Floran Gmehlin, Anu V. Patel, Jocelyn Boullier, Hamish Fraser. 141-144 [doi]
• Generative Adversarial Networks in Precision OncologyLeandro von Werra, Marcel Schöngens, Ece D. Gamsiz Uzun, Carsten Eickhoff. 145-148 [doi]
• Unifying Explicit and Implicit Feedback for Rating Prediction and Ranking Recommendation TasksAmir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis. 149-156 [doi]
• A Factored Relevance Model for Contextual Point-of-Interest RecommendationAnirban Chakraborty, Debasis Ganguly, Annalina Caputo, Séamus Lawless. 157-164 [doi]
• Neural Attentive Cross-Domain RecommendationDimitrios Rafailidis, Fabio Crestani. 165-172 [doi]
• Category-Aware Location Embedding for Point-of-Interest RecommendationHossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani. 173-176 [doi]
• Using Principal Component Analysis to Better Understand Behavioral Measures and their EffectsJaime Arguello, Anita Crescenzi. 177-184 [doi]
• Deep Learning of Human Information Foraging Behavior with a Search EngineXi Niu, Xiangyu Fan. 185-192 [doi]
• Generalising Kendall's Tau for Noisy and Incomplete Preference JudgementsRiku Togashi, Tetsuya Sakai. 193-196 [doi]
• SADHAN: Hierarchical Attention Networks to Learn Latent Aspect Embeddings for Fake News DetectionRahul Mishra, Vinay Setty. 197-204 [doi]
• A Multi-Source Collection of Event-Labeled News DocumentsIda Mele, Fabio Crestani. 205-208 [doi]
• Sentence Retrieval for Entity List Extraction with a Seed, Context, and TopicSheikh Muhammad Sarwar, John Foley, Liu Yang, James Allan. 209-212 [doi]
• A Dataset and Baselines for e-Commerce Product CategorizationYiu-Chang Lin, Pradipto Das, Andrew Trotman, Surya Kallumadi. 213-216 [doi]
• Personal Knowledge Graphs: A Research AgendaKrisztian Balog, Tom Kenter. 217-220 [doi]
• Why does this Entity matter?: Support Passage Retrieval for Entity RetrievalShubham Chatterjee, Laura Dietz. 221-224 [doi]
• Unsupervised Context Retrieval for Long-tail EntitiesDarío Garigliotti, Dyaa Albakour, Miguel Martinez, Krisztian Balog. 225-228 [doi]
• How Fair Can We Go: Detecting the Boundaries of Fairness Optimization in Information RetrievalRuoyuan Gao, Chirag Shah. 229-236 [doi]
• JIGSAW: Structuring Text into TablesDhruv Gupta 0002, Klaus Berberich. 237-244 [doi]
• Exploratory Search Pipes with Scoped FacetsTim Gollub, Leon Hutans, Tanveer Al Jami, Benno Stein. 245-248 [doi]
• SearchIE: A Retrieval Approach for Information ExtractionSheikh Muhammad Sarwar, James Allan. 249-252 [doi]
• Neural Learning to Rank using TensorFlow Ranking: A Hands-on TutorialRama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang. 253-254 [doi]
• Tutorial on Explainable Recommendation and SearchYongfeng Zhang. 255-256 [doi]
• Statistical Significance Testing in Theory and in PracticeBen Carterette. 257-259 [doi]
• MAISoN 2019: The 3rd International Workshop on Mining Actionable Insights from Social NetworksMarcelo G. Armentano, Ebrahim Bagheri, Julia Kiseleva, Frank W. Takes. 260-261 [doi]