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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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Towards an Open-Doman Dialog System
Jianfeng Gao

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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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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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Learning a Better Negative Sampling Policy with Deep Neural Networks for Search
Daniel Cohen | Scott M. Jordan | W. Bruce Croft

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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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Modelling Dynamic Interactions Between Relevance Dimensions
Sagar Uprety | Shahram Dehdashti | Lauren Fell | Peter Bruza | Dawei Song

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A Study of Query Performance Prediction for Answer Quality Determination
Haggai Roitman | Shai Erera | Guy Feigenblat

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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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Incorporating Hierarchical Domain Information to Disambiguate Very Short Queries
Hamed R. Bonab | Mohammad Aliannejadi | John Foley | James Allan

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Performance Prediction for Non-Factoid Question Answering
Helia Hashemi | Hamed Zamani | W. Bruce Croft

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Utilizing Passages in Fusion-based Document Retrieval
Haggai Roitman | Yosi Mass

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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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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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An Assumption-Free Approach to the Dynamic Truncation of Ranked Lists
Yen-Chieh Lien | Daniel Cohen | W. Bruce Croft

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What Do We Mean by Theory in Information Retrieval?
Diane Kelly

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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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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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Listwise Neural Ranking Models
Razieh Rahimi | Ali Montazeralghaem | James Allan

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Neural Document Expansion with User Feedback
Yue Yin | Chenyan Xiong | Cheng Luo | Zhiyuan Liu

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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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Anderson and Krathwohl's Two-Dimensional Taxonomy Applied to Task Creation and Learning Assessment
Kelsey Urgo | Jaime Arguello | Robert Capra

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Investigating the Reliability of Click Models
Jiaxin Mao | Zhumin Chu | Yiqun Liu | Min Zhang | Shaoping Ma

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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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Term Discrimination Value for Cross-Language Information Retrieval
Ali Montazeralghaem | Razieh Rahimi | James Allan

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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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Generative Adversarial Networks in Precision Oncology
Leandro von Werra | Marcel Schöngens | Ece D. Gamsiz Uzun | Carsten Eickhoff

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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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A Factored Relevance Model for Contextual Point-of-Interest Recommendation
Anirban Chakraborty | Debasis Ganguly | Annalina Caputo | Séamus Lawless

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Neural Attentive Cross-Domain Recommendation
Dimitrios Rafailidis | Fabio Crestani

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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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Using Principal Component Analysis to Better Understand Behavioral Measures and their Effects
Jaime Arguello | Anita Crescenzi

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Deep Learning of Human Information Foraging Behavior with a Search Engine
Xi Niu | Xiangyu Fan

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Generalising Kendall's Tau for Noisy and Incomplete Preference Judgements
Riku Togashi | Tetsuya Sakai

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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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A Multi-Source Collection of Event-Labeled News Documents
Ida Mele | Fabio Crestani

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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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A Dataset and Baselines for e-Commerce Product Categorization
Yiu-Chang Lin | Pradipto Das | Andrew Trotman | Surya Kallumadi

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Personal Knowledge Graphs: A Research Agenda
Krisztian Balog | Tom Kenter

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Why does this Entity matter?: Support Passage Retrieval for Entity Retrieval
Shubham Chatterjee | Laura Dietz

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Unsupervised Context Retrieval for Long-tail Entities
Darío Garigliotti | Dyaa Albakour | Miguel Martinez | Krisztian Balog

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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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JIGSAW: Structuring Text into Tables
Dhruv Gupta | Klaus Berberich

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Exploratory Search Pipes with Scoped Facets
Tim Gollub | Leon Hutans | Tanveer Al Jami | Benno Stein

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SearchIE: A Retrieval Approach for Information Extraction
Sheikh Muhammad Sarwar | James Allan

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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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Tutorial on Explainable Recommendation and Search
Yongfeng Zhang

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Statistical Significance Testing in Theory and in Practice
Ben Carterette

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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