A Web recommendation technique based on probabilistic latent semantic analysis

Guandong XU, Yanchun ZHANG, Xiaofang ZHOU

Research output: Chapter in Book/Report/Conference proceedingChapters

12 Citations (Scopus)

Abstract

Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of click-stream data will lead to capture usage pattern information. Nowadays Web usage mining technique has become one of most widely used methods for Web recommendation, which customizes Web content to user-preferred style. Traditional techniques of Web usage mining, such as Web user session or Web page clustering, association rule and frequent navigational path mining can only discover usage pattern explicitly. They, however, cannot reveal the underlying navigational activities and identify the latent relationships that are associated with the patterns among Web users as well as Web pages. In this work, we propose a Web recommendation framework incorporating Web usage mining technique based on Probabilistic Latent Semantic Analysis (PLSA) model. The main advantages of this method are, not only to discover usage-based access pattern, but also to reveal the underlying latent factor as well. With the discovered user access pattern, we then present user more interested content via collaborative recommendation. To validate the effectiveness of proposed approach, we conduct experiments on real world datasets and make comparisons with some existing traditional techniques, The preliminary experimental results demonstrate the usability of the proposed approach. Copyright © 2005 Springer-Verlag Berlin Heidelberg.

Original languageEnglish
Title of host publicationWeb information systems engineering - WISE 2005: 6th International Conference on Web Information Systems Engineering, New York, NY, USA, November 20-22, 2005, proceedings
EditorsAnne H. H. NGU, Masaru KITSUREGAWA, Erich J. NEUHOLD, Jen-Yao CHUNG, Quan Z. SHENG
PublisherSpringer
Pages15-28
ISBN (Electronic)9783540322863
ISBN (Print)9783540300175
DOIs
Publication statusPublished - 2005

Citation

Xu, G., Zhang, Y., & Zhou, X. (2005). A Web recommendation technique based on probabilistic latent semantic analysis. In A. H. H. Ngu, M. Kitsuregawa, E. J. Neuhold, J.-Y. Chung, & Q. Z. Sheng (Eds.), Web information systems engineering - WISE 2005: 6th International Conference on Web Information Systems Engineering, New York, NY, USA, November 20-22, 2005, proceedings (pp. 15-28). Springer. https://doi.org/10.1007/11581062_2

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