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07/25/2023
An Intent Taxonomy of Legal Case Retrieval
Legal case retrieval is a special Information Retrieval (IR) task focusi...
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07/19/2023
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significant...
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06/04/2023
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
Passage retrieval is a fundamental task in many information systems, suc...
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05/26/2023
FARA: Future-aware Ranking Algorithm for Fairness Optimization
Ranking systems are the key components of modern Information Retrieval (...
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05/26/2023
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach
Ranking is at the core of many artificial intelligence (AI) applications...
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05/17/2023
Unconfounded Propensity Estimation for Unbiased Ranking
The goal of unbiased learning to rank (ULTR) is to leverage implicit use...
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05/11/2023
THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment
This paper describes the approach of the THUIR team at the COLIEE 2023 L...
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05/11/2023
THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval
Legal case retrieval techniques play an essential role in modern intelli...
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05/09/2023
CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding
Legal case retrieval is a critical process for modern legal information ...
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04/25/2023
THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank
This paper introduces the approaches we have used to participate in the ...
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04/24/2023
Constructing Tree-based Index for Efficient and Effective Dense Retrieval
Recent studies have shown that Dense Retrieval (DR) techniques can signi...
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04/22/2023
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval
Legal case retrieval, which aims to find relevant cases for a query case...
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04/17/2023
Metric-agnostic Ranking Optimization
Ranking is at the core of Information Retrieval. Classic ranking optim...
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04/17/2023
Reward-free Policy Imitation Learning for Conversational Search
Existing conversational search studies mainly focused on asking better c...
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04/17/2023
An In-depth Investigation of User Response Simulation for Conversational Search
Conversational search has seen increased recent attention in both the IR...
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02/28/2023
Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank
This paper describes the approach of the THUIR team at the WSDM Cup 2023...
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01/30/2023
Zero-shot Clarifying Question Generation for Conversational Search
A long-standing challenge for search and conversational assistants is qu...
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01/29/2023
Diverse legal case search
In last decades, legal case search has received more and more attention....
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01/25/2023
Counterfactual Editing for Search Result Explanation
Recently substantial improvements in neural retrieval methods also bring...
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12/18/2022
Marginal-Certainty-aware Fair Ranking Algorithm
Ranking systems are ubiquitous in modern Internet services, including on...
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09/12/2022
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models
Neural ranking models (NRMs) have become one of the most important techn...
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08/16/2022
Reinforcement Learning to Rank with Coarse-grained Labels
Ranking lies at the core of many Information Retrieval (IR) tasks. While...
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08/11/2022
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval
Recent advance in Dense Retrieval (DR) techniques has significantly impr...
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07/24/2022
Model-based Unbiased Learning to Rank
Unbiased Learning to Rank (ULTR) that learns to rank documents with bias...
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06/10/2022
Learning to Rank Rationales for Explainable Recommendation
State-of-the-art recommender system (RS) mostly rely on complex deep neu...
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04/06/2022
Effective Exposure Amortizing for Fair Top-k Recommendation
Result ranking often affects customer satisfaction as well as the amount...
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01/01/2022
Simulating and Modeling the Risk of Conversational Search
In conversational search, agents can interact with users by asking clari...
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08/11/2021
Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search
Product retrieval systems have served as the main entry for customers to...
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08/11/2021
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
Learning to rank systems has become an important aspect of our daily lif...
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07/12/2021
Asking Clarifying Questions Based on Negative Feedback in Conversational Search
Users often need to look through multiple search result pages or reformu...
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06/17/2021
Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation
Modern E-commerce websites contain heterogeneous sources of information,...
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03/16/2021
A Neural Passage Model for Ad-hoc Document Retrieval
Traditional statistical retrieval models often treat each document as a ...
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02/18/2021
Maximizing Marginal Fairness for Dynamic Learning to Rank
Rankings, especially those in search and recommendation systems, often d...
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01/16/2021
A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System
User and item reviews are valuable for the construction of recommender s...
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01/15/2021
Controlling the Risk of Conversational Search via Reinforcement Learning
Users often formulate their search queries with immature language withou...
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11/26/2020
A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems
Using reviews to learn user and item representations is important for re...
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08/20/2020
Review Regularized Neural Collaborative Filtering
In recent years, text-aware collaborative filtering methods have been pr...
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08/20/2020
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank
Leveraging biased click data for optimizing learning to rank systems has...
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08/19/2020
E-commerce Recommendation with Weighted Expected Utility
Different from shopping at retail stores, consumers on e-commerce platfo...
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05/18/2020
A Transformer-based Embedding Model for Personalized Product Search
Product search is an important way for people to browse and purchase ite...
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04/28/2020
Unbiased Learning to Rank: Online or Offline?
How to obtain an unbiased ranking model by learning to rank with biased ...
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04/20/2020
A Review-based Transformer Model for Personalized Product Search
In product search, customers make purchase decisions based on not only t...
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12/12/2019
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
In learning-to-rank for information retrieval, a ranking model is automa...
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09/16/2019
Explainable Product Search with a Dynamic Relation Embedding Model
Product search is one of the most popular methods for customers to disco...
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09/04/2019
Conversational Product Search Based on Negative Feedback
Intelligent assistants change the way people interact with computers and...
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08/29/2019
A Zero Attention Model for Personalized Product Search
Product search is one of the most popular methods for people to discover...
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03/16/2019
A Deep Look into Neural Ranking Models for Information Retrieval
Ranking models lie at the heart of research on information retrieval (IR...
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12/20/2018
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match
Relevance feedback techniques assume that users provide relevance judgme...
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12/13/2018
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval
As more and more search traffic comes from mobile phones, intelligent as...
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11/11/2018
