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ORCIDICTIR 2020: Virtual Event, Norway
- Krisztian Balog, Vinay Setty, Christina Lioma, Yiqun Liu, Min Zhang, Klaus Berberich:
ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Norway, September 14-17, 2020. ACM 2020, ISBN 978-1-4503-8067-6
Keynote & Invited Talks
- Mark Sanderson:
Modeling Search Engine Performance Measurement. 1 - Mounia Lalmas:
Personalising and Diversifying the Listening Experience. 3
Session 1: Ranking
- Yuta Saito:
Unbiased Pairwise Learning from Biased Implicit Feedback. 5-12 - Hojae Han, Seung-won Hwang, Young-In Song, Siyeon Kim:
Training Data Optimization for Pairwise Learning to Rank. 13-20 - Puxuan Yu, Razieh Rahimi, Zhiqi Huang, James Allan:
Learning to Rank Entities for Set Expansion from Unstructured Data. 21-28 - Amal Htait
, Sébastien Fournier, Patrice Bellot, Leif Azzopardi, Gabriella Pasi:
Using Sentiment Analysis for Pseudo-Relevance Feedback in Social Book Search. 29-32
Session 2: Query Models
- Kfir Bernstein, Fiana Raiber, Oren Kurland, J. Shane Culpepper:
Cluster-Based Document Retrieval with Multiple Queries. 33-40 - Dhruv Gupta, Klaus Berberich:
Optimizing Hyper-Phrase Queries. 41-48 - Haggai Roitman, Yosi Mass, Guy Feigenblat, Roee Shraga:
Query Performance Prediction for Multifield Document Retrieval. 49-52 - Sheikh Muhammad Sarwar, Raghavendra Addanki, Ali Montazeralghaem, Soumyabrata Pal, James Allan:
Search Result Diversification with Guarantee of Topic Proportionality. 53-60
Session 3: User Interaction
- Alexandra Vtyurina, Charles L. A. Clarke, Edith Law, Johanne R. Trippas, Horatiu S. Bota:
A Mixed-Method Analysis of Text and Audio Search Interfaces with Varying Task Complexity. 61-68 - Sihang Qiu, Ujwal Gadiraju, Alessandro Bozzon:
Towards Memorable Information Retrieval. 69-76 - Kelsey Urgo, Jaime Arguello, Robert Capra:
The Effects of Learning Objectives on Searchers' Perceptions and Behaviors. 77-84 - Mateusz Dubiel, Martin Halvey, Leif Azzopardi, Sylvain Daronnat:
Interactive Evaluation of Conversational Agents: Reflections on the Impact of Search Task Design. 85-88
Session 4: Recommendation
- Yaxiong Wu, Craig Macdonald, Iadh Ounis:
A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation. 89-96 - Zhengkai Tu, Wei Yang, Zihang Fu, Yuqing Xie, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin:
Approximate Nearest Neighbor Search and Lightweight Dense Vector Reranking in Multi-Stage Retrieval Architectures. 97-100 - Ting Lin, Aixin Sun:
Sentiment Prediction using Attention on User-Specific Rating Distribution. 101-104 - Yiwei Li, Miao Fan, Jizhou Huang, Kan Li:
A Multistage Ranking Strategy for Personalized Hotel Recommendation with Human Mobility Data. 105-108 - Dominic Seyler, Jiaming Shen, Jinfeng Xiao, Yiren Wang, ChengXiang Zhai:
Leveraging Personalized Sentiment Lexicons for Sentiment Analysis. 109-112
Session 5: Conversational
- Disen Wang, Hui Fang:
Length Adaptive Regularization for Retrieval-based Chatbot Models. 113-120 - Trond Linjordet, Krisztian Balog:
Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs. 121-128 - Antonios Minas Krasakis, Mohammad Aliannejadi, Nikos Voskarides, Evangelos Kanoulas:
Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search. 129-132 - Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries:
Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge Graph. 133-136
Session 6: Learning to Rank
- Harrie Oosterhuis, Maarten de Rijke:
Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. 137-144 - Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Permutation Equivariant Document Interaction Network for Neural Learning to Rank. 145-148 - Luyu Gao, Zhuyun Dai, Jamie Callan:
Understanding BERT Rankers Under Distillation. 149-152 - Zitong Cheng, Hui Fang:
Utilizing Axiomatic Perturbations to Guide Neural Ranking Models. 153-156 - Abdulaziz AlQatan, Leif Azzopardi, Yashar Moshfeghi:
Analyzing the Influence of Bigrams on Retrieval Bias and Effectiveness. 157-160
Session 7: Evaluation
- Craig Macdonald, Nicola Tonellotto:
Declarative Experimentation in Information Retrieval using PyTerrier. 161-168 - Marco Ferrante, Nicola Ferro:
Exploiting Stopping Time to Evaluate Accumulated Relevance. 169-176 - Md. Mustafizur Rahman, Mücahid Kutlu, Tamer Elsayed, Matthew Lease:
Efficient Test Collection Construction via Active Learning. 177-184 - Charles L. A. Clarke, Alexandra Vtyurina, Mark D. Smucker:
Offline Evaluation without Gain. 185-192
Tutorials
- Rishiraj Saha Roy, Avishek Anand:
Question Answering over Curated and Open Web Sources. 193-194 - Haggai Roitman:
ICTIR Tutorial: Modern Query Performance Prediction: Theory and Practice. 195-196
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