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ACM SIGIR International Conference on the Theory of Information Retrieval (2020)


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ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Norway, September 14-17, 2020

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ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Norway, September 14-17, 2020

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Modeling Search Engine Performance Measurement
Mark Sanderson

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Personalising and Diversifying the Listening Experience
Mounia Lalmas

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Unbiased Pairwise Learning from Biased Implicit Feedback
Yuta Saito

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Training Data Optimization for Pairwise Learning to Rank
Hojae Han | Seung-won Hwang | Young-In Song | Siyeon Kim

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Learning to Rank Entities for Set Expansion from Unstructured Data
Puxuan Yu | Razieh Rahimi | Zhiqi Huang | James Allan

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Using Sentiment Analysis for Pseudo-Relevance Feedback in Social Book Search
Amal Htait | Sébastien Fournier | Patrice Bellot | Leif Azzopardi | Gabriella Pasi

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Cluster-Based Document Retrieval with Multiple Queries
Kfir Bernstein | Fiana Raiber | Oren Kurland | J. Shane Culpepper

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Optimizing Hyper-Phrase Queries
Dhruv Gupta | Klaus Berberich

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Query Performance Prediction for Multifield Document Retrieval
Haggai Roitman | Yosi Mass | Guy Feigenblat | Roee Shraga

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Search Result Diversification with Guarantee of Topic Proportionality
Sheikh Muhammad Sarwar | Raghavendra Addanki | Ali Montazeralghaem | Soumyabrata Pal | James Allan

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A Mixed-Method Analysis of Text and Audio Search Interfaces with Varying Task Complexity
Alexandra Vtyurina | Charles L. A. Clarke | Edith Law | Johanne R. Trippas | Horatiu S. Bota

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Towards Memorable Information Retrieval
Sihang Qiu | Ujwal Gadiraju | Alessandro Bozzon

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The Effects of Learning Objectives on Searchers' Perceptions and Behaviors
Kelsey Urgo | Jaime Arguello | Robert Capra

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Interactive Evaluation of Conversational Agents: Reflections on the Impact of Search Task Design
Mateusz Dubiel | Martin Halvey | Leif Azzopardi | Sylvain Daronnat

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A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation
Yaxiong Wu | Craig Macdonald | Iadh Ounis

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Approximate Nearest Neighbor Search and Lightweight Dense Vector Reranking in Multi-Stage Retrieval Architectures
Zhengkai Tu | Wei Yang | Zihang Fu | Yuqing Xie | Luchen Tan | Kun Xiong | Ming Li | Jimmy Lin

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Sentiment Prediction using Attention on User-Specific Rating Distribution
Ting Lin | Aixin Sun

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A Multistage Ranking Strategy for Personalized Hotel Recommendation with Human Mobility Data
Yiwei Li | Miao Fan | Jizhou Huang | Kan Li

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Leveraging Personalized Sentiment Lexicons for Sentiment Analysis
Dominic Seyler | Jiaming Shen | Jinfeng Xiao | Yiren Wang | ChengXiang Zhai

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Length Adaptive Regularization for Retrieval-based Chatbot Models
Disen Wang | Hui Fang

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Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs
Trond Linjordet | Krisztian Balog

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Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search
Antonios Minas Krasakis | Mohammad Aliannejadi | Nikos Voskarides | Evangelos Kanoulas

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Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge Graph
Emma J. Gerritse | Faegheh Hasibi | Arjen P. de Vries

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Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking
Harrie Oosterhuis | Maarten de Rijke

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Permutation Equivariant Document Interaction Network for Neural Learning to Rank
Rama Kumar Pasumarthi | Honglei Zhuang | Xuanhui Wang | Michael Bendersky | Marc Najork

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Understanding BERT Rankers Under Distillation
Luyu Gao | Zhuyun Dai | Jamie Callan

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Utilizing Axiomatic Perturbations to Guide Neural Ranking Models
Zitong Cheng | Hui Fang

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Analyzing the Influence of Bigrams on Retrieval Bias and Effectiveness
Abdulaziz AlQatan | Leif Azzopardi | Yashar Moshfeghi

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Declarative Experimentation in Information Retrieval using PyTerrier
Craig Macdonald | Nicola Tonellotto

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Exploiting Stopping Time to Evaluate Accumulated Relevance
Marco Ferrante | Nicola Ferro

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Efficient Test Collection Construction via Active Learning
Md. Mustafizur Rahman | Mücahid Kutlu | Tamer Elsayed | Matthew Lease

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Offline Evaluation without Gain
Charles L. A. Clarke | Alexandra Vtyurina | Mark D. Smucker

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Question Answering over Curated and Open Web Sources
Rishiraj Saha Roy | Avishek Anand

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ICTIR Tutorial: Modern Query Performance Prediction: Theory and Practice
Haggai Roitman