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ORCIDICTIR 2019: Santa Clara, CA, USA
- Yi Fang, Yi Zhang, James Allan, Krisztian Balog, Ben Carterette, Jiafeng Guo:
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019. ACM 2019, ISBN 978-1-4503-6881-0
Keynote I
- Jianfeng Gao:
Towards an Open-Doman Dialog System. 1-2
Session 1: Neural IR I
- Alberto Purpura, Marco Maggipinto, Gianmaria Silvello
, Gian Antonio Susto:
Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now). 3-10 - Behrooz Mansouri, Shaurya Rohatgi, Douglas W. Oard, Jian Wu, C. Lee Giles, Richard Zanibbi:
Tangent-CFT: An Embedding Model for Mathematical Formulas. 11-18 - Daniel Cohen, Scott M. Jordan, W. Bruce Croft:
Learning a Better Negative Sampling Policy with Deep Neural Networks for Search. 19-26
Session 2: Queries and Relevance
- Xiaolu Lu, Oren Kurland, J. Shane Culpepper, Nick Craswell, Ofri Rom:
Relevance Modeling with Multiple Query Variations. 27-34 - Sagar Uprety, Shahram Dehdashti, Lauren Fell, Peter Bruza, Dawei Song:
Modelling Dynamic Interactions Between Relevance Dimensions. 35-42 - Haggai Roitman, Shai Erera, Guy Feigenblat:
A Study of Query Performance Prediction for Answer Quality Determination. 43-46 - Binsheng Liu, Nick Craswell, Xiaolu Lu, Oren Kurland, J. Shane Culpepper:
A Comparative Analysis of Human and Automatic Query Variants. 47-50 - Hamed R. Bonab, Mohammad Aliannejadi, John Foley, James Allan:
Incorporating Hierarchical Domain Information to Disambiguate Very Short Queries. 51-54 - Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Performance Prediction for Non-Factoid Question Answering. 55-58
Session 3A: Ranking
- Haggai Roitman, Yosi Mass:
Utilizing Passages in Fusion-based Document Retrieval. 59-66 - Yifan Nie, Jiyang Zhang, Jian-Yun Nie:
Integrated Learning of Features and Ranking Function in Information Retrieval. 67-74 - Sebastian Bruch, Xuanhui Wang, Michael Bendersky, Marc Najork:
An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance. 75-78 - Yen-Chieh Lien, Daniel Cohen, W. Bruce Croft:
An Assumption-Free Approach to the Dynamic Truncation of Ranked Lists. 79-82
Keynote II
- Diane Kelly:
What Do We Mean by Theory in Information Retrieval? 83
Session 4: Neural IR 2
- Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork:
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks. 85-92 - Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Kang Liu, Zhixing Tian, Jun Zhao:
Unsupervised Story Comprehension with Hierarchical Encoder-Decoder. 93-100 - Razieh Rahimi, Ali Montazeralghaem, James Allan:
Listwise Neural Ranking Models. 101-104 - Yue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu:
Neural Document Expansion with User Feedback. 105-108
Session 5: Users and Evaluation I
- Aldo Lipani, Ben Carterette, Emine Yilmaz:
From a User Model for Query Sessions to Session Rank Biased Precision (sRBP). 109-116 - Kelsey Urgo, Jaime Arguello, Robert Capra:
Anderson and Krathwohl's Two-Dimensional Taxonomy Applied to Task Creation and Learning Assessment. 117-124 - Jiaxin Mao, Zhumin Chu, Yiqun Liu, Min Zhang, Shaoping Ma:
Investigating the Reliability of Click Models. 125-128
Session 6: Cross-language and Medical IR
- Hamed R. Bonab, James Allan, Ramesh K. Sitaraman:
Simulating CLIR Translation Resource Scarcity using High-resource Languages. 129-136 - Ali Montazeralghaem, Razieh Rahimi, James Allan:
Term Discrimination Value for Cross-Language Information Retrieval. 137-140 - Carsten Eickhoff, Floran Gmehlin, Anu V. Patel, Jocelyn Boullier, Hamish Fraser:
DC3 - A Diagnostic Case Challenge Collection for Clinical Decision Support. 141-144 - Leandro von Werra, Marcel Schöngens, Ece D. Gamsiz Uzun, Carsten Eickhoff:
Generative Adversarial Networks in Precision Oncology. 145-148
Session 7: Recommendation
- Amir Hossein Jadidinejad, Craig MacDonald, Iadh Ounis:
Unifying Explicit and Implicit Feedback for Rating Prediction and Ranking Recommendation Tasks. 149-156 - Anirban Chakraborty, Debasis Ganguly, Annalina Caputo, Séamus Lawless:
A Factored Relevance Model for Contextual Point-of-Interest Recommendation. 157-164 - Dimitrios Rafailidis, Fabio Crestani:
Neural Attentive Cross-Domain Recommendation. 165-172 - Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani:
Category-Aware Location Embedding for Point-of-Interest Recommendation. 173-176
Session 8: Users and Evaluation II
- Jaime Arguello, Anita Crescenzi:
Using Principal Component Analysis to Better Understand Behavioral Measures and their Effects. 177-184 - Xi Niu, Xiangyu Fan:
Deep Learning of Human Information Foraging Behavior with a Search Engine. 185-192 - Riku Togashi, Tetsuya Sakai:
Generalising Kendall's Tau for Noisy and Incomplete Preference Judgements. 193-196
Session 9: News and Entities
- Rahul Mishra, Vinay Setty:
SADHAN: Hierarchical Attention Networks to Learn Latent Aspect Embeddings for Fake News Detection. 197-204 - Ida Mele, Fabio Crestani:
A Multi-Source Collection of Event-Labeled News Documents. 205-208 - Sheikh Muhammad Sarwar, John Foley, Liu Yang, James Allan:
Sentence Retrieval for Entity List Extraction with a Seed, Context, and Topic. 209-212 - Yiu-Chang Lin, Pradipto Das, Andrew Trotman, Surya Kallumadi:
A Dataset and Baselines for e-Commerce Product Categorization. 213-216 - Krisztian Balog, Tom Kenter:
Personal Knowledge Graphs: A Research Agenda. 217-220 - Shubham Chatterjee, Laura Dietz:
Why does this Entity matter?: Support Passage Retrieval for Entity Retrieval. 221-224 - Darío Garigliotti, Dyaa Albakour, Miguel Martinez, Krisztian Balog:
Unsupervised Context Retrieval for Long-tail Entities. 225-228
Session 10: Fairness and Structured Retrieval
- Ruoyuan Gao, Chirag Shah:
How Fair Can We Go: Detecting the Boundaries of Fairness Optimization in Information Retrieval. 229-236 - Dhruv Gupta, Klaus Berberich:
JIGSAW: Structuring Text into Tables. 237-244 - Tim Gollub, Leon Hutans, Tanveer Al Jami, Benno Stein:
Exploratory Search Pipes with Scoped Facets. 245-248 - Sheikh Muhammad Sarwar, James Allan:
SearchIE: A Retrieval Approach for Information Extraction. 249-252
Tutorials
- Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang:
Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial. 253-254 - Yongfeng Zhang:
Tutorial on Explainable Recommendation and Search. 255-256 - Ben Carterette:
Statistical Significance Testing in Theory and in Practice. 257-259
Workshop
- Marcelo Gabriel Armentano, Ebrahim Bagheri, Julia Kiseleva, Frank W. Takes:
MAISoN 2019: The 3rd International Workshop on Mining Actionable Insights from Social Networks. 260-261
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