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20182024
most citedTowards Question-based Recommender Systems

76 citations · 114 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.IR2024★ 14 cited

Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling

Jie Zou, Aixin Sun, Cheng Long +1

In conversational recommender systems (CRSs), conversations usually involve a set of items and item-related entities or attributes, e.g., director is a related entity of a movie. T…

cs.IR2020

An Empirical Study of Clarifying Question-Based Systems

Jie Zou, Evangelos Kanoulas, Yiqun Liu

Search and recommender systems that take the initiative to ask clarifying questions to better understand users' information needs are receiving increasing attention from the resear…

cs.IR2020★ 76 cited

Towards Question-based Recommender Systems

Jie Zou, Yifan Chen, Evangelos Kanoulas

Conversational and question-based recommender systems have gained increasing attention in recent years, with users enabled to converse with the system and better control recommenda…

cs.IR2019★ 1 cited

Learning to Ask: Question-based Sequential Bayesian Product Search

Jie Zou, Evangelos Kanoulas

Product search is generally recognized as the first and foremost stage of online shopping and thus significant for users and retailers of e-commerce. Most of the traditional retrie…

cs.IR2018★ 1 cited

Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes/No Questions to Reviewers

Jie Zou, Dan Li, Evangelos Kanoulas

The goal of a technology-assisted review is to achieve high recall with low human effort. Continuous active learning algorithms have demonstrated good performance in locating the m…