activity
19962023
most citedOn Application of Learning to Rank for E-Commerce Search

143 citations · 506 across the 22 of their papers we have counts for

collaborators

22 papers

cs.HC2023★ 19 cited

User Simulation for Evaluating Information Access Systems

Krisztian Balog, ChengXiang Zhai

Information access systems, such as search engines, recommender systems, and conversational assistants, have become integral to our daily lives as they help us satisfy our informat…

cs.CL2023

Measuring the Effect of Influential Messages on Varying Personas

Chenkai Sun, Jinning Li, Hou Pong Chan +2

Predicting how a user responds to news events enables important applications such as allowing intelligent agents or content producers to estimate the effect on different communitie…

cs.IR2023

Noise-Robust Dense Retrieval via Contrastive Alignment Post Training

Daniel Campos, ChengXiang Zhai, Alessandro Magnani

The success of contextual word representations and advances in neural information retrieval have made dense vector-based retrieval a standard approach for passage and document rank…

cs.IR2023

Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval

Daniel Campos, ChengXiang Zhai

Vector-based retrieval systems have become a common staple for academic and industrial search applications because they provide a simple and scalable way of extending the search to…

cs.CL2022

Entity Set Co-Expansion in StackOverflow

Yu Zhang, Yunyi Zhang, Yucheng Jiang +5

Given a few seed entities of a certain type (e.g., Software or Programming Language), entity set expansion aims to discover an extensive set of entities that share the same type as…

cs.CL2022★ 3 cited

Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking

Tuan Manh Lai, Heng Ji, ChengXiang Zhai

Entity linking (EL) is the task of linking entity mentions in a document to referent entities in a knowledge base (KB). Many previous studies focus on Wikipedia-derived KBs. There…