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