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