Learning to Rank Entities for Set Expansion from Unstructured Data

Puxuan Yu, Razieh Rahimi, Zhiqi Huang and James Allan

Unbiased Pairwise Learning from Biased Implicit Feedback

Yuta Saito

The Effects of Learning Objectives on Searchers’ Perceptions and Behaviors

Kelsey Urgo, Jaime Arguello and Robert Capra

Offline evaluation without gain

Charles Clarke, Alexandra Vtyurina and Mark Smucker

Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking

Harrie Oosterhuis and Maarten de Rijke

A Mixed-Method Analysis of Text and Audio Search Interfaces with Varying Task Complexity

Alexandra Vtyurina, Charles Clarke, Edith Law, Johanne R Trippas and Horaţiu Bota

Length Adaptive Regularization for Retrieval-based Chatbot Models

Disen Wang and Hui Fang

Data Optimization for Learning to Rank using Influence Functions

Hojae Han, Seung-Won Hwang, Young-In Song and Siyeon Kim

Cluster-Based Document Retrieval with Multiple Queries

Kfir Bernstein, Fiana Raiber, Oren Kurland and Shane Culpepper

Optimizing Hyper-Phrase Queries

Dhruv Gupta and Klaus Berberich

Declarative Experimentation in Information Retrieval

Craig Macdonald and Nicola Tonellotto

Towards Memorable Information Retrieval

Sihang Qiu, Ujwal Gadiraju and Alessandro Bozzon

Exploiting Stopping Time to Evaluate Accumulated Relevance

Marco Ferrante and Nicola Ferro

A Hybrid Conditional Variational Autoencoder Model for Personalised Top-N Recommendation

Yaxiong Wu, Craig Macdonald and Iadh Ounis

Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs

Trond Linjordet and Krisztian Balog

Efficient Test Collection Construction via Active Learning

Md Mustafizur Rahman, Mucahid Kutlu, Tamer Elsayed and Matthew Lease

Search Result Diversification with Guarantee of Topic Proportionality

Sheikh Muhammad Sarwar, Raghavendra Addanki, Ali Montazeralghaem, Soumyabrata Pal and James Allan

Leveraging Personalized Sentiment Lexicons for Sentiment Analysis

Dominic Seyler, Jiaming Shen, Jinfeng Xiao, Yiren Wang and Chengxiang Zhai

A Multistage Ranking Strategy for Personalized Hotel Recommendation with Human Mobility Data

Yiwei Li, Miao Fan, Jizhou Huang and Kan Li

Interactive Evaluation of Conversational Agents: Reflections on the Impact of Search Task Design

Mateusz Dubiel, Martin Halvey, Leif Azzopardi and Sylvain Daronnat

Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search

Antonios Minas Krasakis, Mohammad Aliannejadi, Nikos Voskarides and Evangelos Kanoulas

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 and Jimmy Lin

Permutation Equivariant Document Interaction Network for Neural Learning to Rank

Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky and Marc Najork

Query Performance Prediction for Multifield Document Retrieval

Haggai Roitman, Yosi Mass, Guy Feigenblat and Roee Shraga

Sentiment Prediction using Attention on User-Specific Rating Distribution

Ting Lin and Aixin Sun

Utilizing Axiomatic Perturbations to Guide Neural Ranking Models

Zitong Cheng and Hui Fang

Analyzing the Influence of Bigrams on Retrieval Bias and Effectiveness

Abdulaziz Al Qatan, Leif Azzopardi and Yashar Moshfeghi

Using Sentiment Analysis for Pseudo-Relevance Feedback in Social Book Search

Amal Htait, Leif Azzopardi, Sebastien Fournier, Patrice Bellot and Gabriella Pasi

Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge Graph

Emma Gerritse, Faegheh Hasibi and Arjen de Vries

Understanding BERT Ranker Under Distillation

Luyu Gao, Zhuyun Dai and Jamie Callan