International Conference on the Theory of Information Retrieval (ICTIR) (2019)

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Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019.

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Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019.
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JIGSAW: Structuring Text into Tables.
Dhruv Gupta|Klaus Berberich
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Relevance Modeling with Multiple Query Variations.
Xiaolu Lu|Oren Kurland|J. Shane Culpepper|Nick Craswell|Ofri Rom
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Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks.
Qingyao Ai|Xuanhui Wang|Sebastian Bruch|Nadav Golbandi|Michael Bendersky|Marc Najork
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Using Principal Component Analysis to Better Understand Behavioral Measures and their Effects.
Jaime Arguello|Anita Crescenzi
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MAISoN 2019: The 3rd International Workshop on Mining Actionable Insights from Social Networks.
Marcelo Gabriel Armentano|Ebrahim Bagheri|Julia Kiseleva|Frank W. Takes
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Personal Knowledge Graphs: A Research Agenda.
Krisztian Balog|Tom Kenter
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Incorporating Hierarchical Domain Information to Disambiguate Very Short Queries.
Hamed R. Bonab|Mohammad Aliannejadi|John Foley|James Allan
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Simulating CLIR Translation Resource Scarcity using High-resource Languages.
Hamed R. Bonab|James Allan|Ramesh K. Sitaraman
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An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance.
Sebastian Bruch|Xuanhui Wang|Michael Bendersky|Marc Najork
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Statistical Significance Testing in Theory and in Practice.
Ben Carterette
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A Factored Relevance Model for Contextual Point-of-Interest Recommendation.
Anirban Chakraborty|Debasis Ganguly|Annalina Caputo|Séamus Lawless
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Why does this Entity matter?: Support Passage Retrieval for Entity Retrieval.
Shubham Chatterjee|Laura Dietz
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Learning a Better Negative Sampling Policy with Deep Neural Networks for Search.
Daniel Cohen|Scott M. Jordan|W. Bruce Croft
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DC3 - A Diagnostic Case Challenge Collection for Clinical Decision Support.
Carsten Eickhoff|Floran Gmehlin|Anu V. Patel|Jocelyn Boullier|Hamish Fraser
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Towards an Open-Doman Dialog System.
Jianfeng Gao
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How Fair Can We Go: Detecting the Boundaries of Fairness Optimization in Information Retrieval.
Ruoyuan Gao|Chirag Shah
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Unsupervised Context Retrieval for Long-tail Entities.
Darío Garigliotti|Dyaa Albakour|Miguel Martinez|Krisztian Balog
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Exploratory Search Pipes with Scoped Facets.
Tim Gollub|Leon Hutans|Tanveer Al Jami|Benno Stein
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Performance Prediction for Non-Factoid Question Answering.
Helia Hashemi|Hamed Zamani|W. Bruce Croft
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Unifying Explicit and Implicit Feedback for Rating Prediction and Ranking Recommendation Tasks.
Amir Hossein Jadidinejad|Craig MacDonald|Iadh Ounis
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What Do We Mean by Theory in Information Retrieval?
Diane Kelly
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An Assumption-Free Approach to the Dynamic Truncation of Ranked Lists.
Yen-Chieh Lien|Daniel Cohen|W. Bruce Croft
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A Dataset and Baselines for e-Commerce Product Categorization.
Yiu-Chang Lin|Pradipto Das|Andrew Trotman|Surya Kallumadi
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From a User Model for Query Sessions to Session Rank Biased Precision (sRBP).
Aldo Lipani|Ben Carterette|Emine Yilmaz
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A Comparative Analysis of Human and Automatic Query Variants.
Binsheng Liu|Nick Craswell|Xiaolu Lu|Oren Kurland|J. Shane Culpepper
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Tangent-CFT: An Embedding Model for Mathematical Formulas.
Behrooz Mansouri|Shaurya Rohatgi|Douglas W. Oard|Jian Wu|C. Lee Giles|Richard Zanibbi
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Investigating the Reliability of Click Models.
Jiaxin Mao|Zhumin Chu|Yiqun Liu|Min Zhang|Shaoping Ma
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A Multi-Source Collection of Event-Labeled News Documents.
Ida Mele|Fabio Crestani
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SADHAN: Hierarchical Attention Networks to Learn Latent Aspect Embeddings for Fake News Detection.
Rahul Mishra|Vinay Setty
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Term Discrimination Value for Cross-Language Information Retrieval.
Ali Montazeralghaem|Razieh Rahimi|James Allan
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Integrated Learning of Features and Ranking Function in Information Retrieval.
Yifan Nie|Jiyang Zhang|Jian-Yun Nie
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Deep Learning of Human Information Foraging Behavior with a Search Engine.
Xi Niu|Xiangyu Fan
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Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial.
Rama Kumar Pasumarthi|Sebastian Bruch|Michael Bendersky|Xuanhui Wang
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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
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Neural Attentive Cross-Domain Recommendation.
Dimitrios Rafailidis|Fabio Crestani
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Listwise Neural Ranking Models.
Razieh Rahimi|Ali Montazeralghaem|James Allan
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Category-Aware Location Embedding for Point-of-Interest Recommendation.
Hossein A. Rahmani|Mohammad Aliannejadi|Rasoul Mirzaei Zadeh|Mitra Baratchi|Mohsen Afsharchi|Fabio Crestani
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A Study of Query Performance Prediction for Answer Quality Determination.
Haggai Roitman|Shai Erera|Guy Feigenblat
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Utilizing Passages in Fusion-based Document Retrieval.
Haggai Roitman|Yosi Mass
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SearchIE: A Retrieval Approach for Information Extraction.
Sheikh Muhammad Sarwar|James Allan
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Sentence Retrieval for Entity List Extraction with a Seed, Context, and Topic.
Sheikh Muhammad Sarwar|John Foley|Liu Yang|James Allan
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Generalising Kendall's Tau for Noisy and Incomplete Preference Judgements.
Riku Togashi|Tetsuya Sakai
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Modelling Dynamic Interactions Between Relevance Dimensions.
Sagar Uprety|Shahram Dehdashti|Lauren Fell|Peter Bruza|Dawei Song
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Anderson and Krathwohl's Two-Dimensional Taxonomy Applied to Task Creation and Learning Assessment.
Kelsey Urgo|Jaime Arguello|Robert Capra
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Unsupervised Story Comprehension with Hierarchical Encoder-Decoder.
Bingning Wang|Ting Yao|Qi Zhang|Jingfang Xu|Kang Liu|Zhixing Tian|Jun Zhao
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Generative Adversarial Networks in Precision Oncology.
Leandro von Werra|Marcel Schöngens|Ece D. Gamsiz Uzun|Carsten Eickhoff
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Neural Document Expansion with User Feedback.
Yue Yin|Chenyan Xiong|Cheng Luo|Zhiyuan Liu
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Tutorial on Explainable Recommendation and Search.
Yongfeng Zhang