User interest modeling and its application for question recommendation in user-interactive question answering systems

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

18 Scopus Citations
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  • Xingliang Ni
  • Yao Lu
  • Xiaojun Quan
  • Liu Wenyin
  • Bei Hua

Related Research Unit(s)


Original languageEnglish
Pages (from-to)218-233
Journal / PublicationInformation Processing and Management
Issue number2
Publication statusPublished - Mar 2012


In this paper, we propose a generative model, the Topic-based User Interest (TUI) model, to capture the user interest in the User-Interactive Question Answering (UIQA) systems. Specifically, our method aims to model the user interest in the UIQA systems with latent topic method, and extract interests for users by mining the questions they asked, the categories they participated in and relevant answer providers. We apply the TUI model to the application of question recommendation, which automatically recommends to certain user appropriate questions he might be interested in. Data collection from Yahoo! Answers is used to evaluate the performance of the proposed model in question recommendation, and the experimental results show the effectiveness of our proposed model. © 2011 Elsevier Ltd. All rights reserved.

Research Area(s)

  • Question answering, Topic model, User interest

Citation Format(s)