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

  • Authors:

  • Xingliang Ni;Yao Lu;Xiaojun Quan;Liu Wenyin;Bei Hua

  • Affiliations:

  • School of Computer and Information Engineering, Shanghai University of Electronic Power, Shanghai 200090, China and Department of Computer Science and Technology, University of Science and Technol ...;Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China and Department of Computer Science, City University of Hong Kong, HKSAR, China and Joint ...;Department of Computer Science, City University of Hong Kong, HKSAR, China;School of Computer and Information Engineering, Shanghai University of Electronic Power, Shanghai 200090, China and Department of Computer Science and Technology, University of Science and Technol ...;Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China and Joint Research Lab of Excellence, CityU-USTC Advanced Research Institute, Suzhou, Chi ...

  • Venue:
  • Information Processing and Management: an International Journal
  • Year:
  • 2012

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Abstract

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.