User interest modeling and its application for question recommendation in user-interactive question answering systems
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 218-233 |
| Journal / Publication | Information Processing and Management |
| Volume | 48 |
| Issue number | 2 |
| Publication status | Published - Mar 2012 |
Link(s)
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. © 2011 Elsevier Ltd. All rights reserved.
Research Area(s)
- Question answering, Topic model, User interest
Citation Format(s)
User interest modeling and its application for question recommendation in user-interactive question answering systems. / Ni, Xingliang; Lu, Yao; Quan, Xiaojun et al.
In: Information Processing and Management, Vol. 48, No. 2, 03.2012, p. 218-233.
In: Information Processing and Management, Vol. 48, No. 2, 03.2012, p. 218-233.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
