Effective Web content recommendation based on consumer behavior modeling

Zhou, B., Fong, A.M., Hui, S. C. and Do, T. A. (2011) Effective Web content recommendation based on consumer behavior modeling. In: IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, 9-12 Jan. 2011, pp. 471-472. (doi: 10.1109/ICCE.2011.5722689)

Abstract

Web surfing has become an important activity for many consumers. We propose a web recommender that models user behavior by constructing a know ledge base using temporal web access patterns as input. We apply fuzzy logic to represent real-life temp oral concepts and requested resources of periodic pattern-based web access activities. Th e fuzzy representation is used to construct a know ledge base of the user's web access behaviors, which is then used to provide timely and personalized recommendations to the user, possibly on their portable devices. Experiments conducted to e valuate the performance of the proposed approach have shown very promising results.

• Item Type: Conference Proceedings
• Additional Information: Print ISBN: 978-1-4244-8711-0 ; ISSN: 2158-3994.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Fong, Dr Alvis Cheuk Min
• Authors: Zhou, B., Fong, A.M., Hui, S. C., and Do, T. A.
• College/School: College of Science and Engineering > School of Computing Science