Hyperlink Structure-based Recommender System.
Ying Chun Zhou, Youwei Wang, Yueyuan Zhang, Weihui Dai · Journal of the Association for Information Systems · 2004
Recommender systems are applied widely in e-commerce and information access. They provide suggestions to users to prune unrelated information so that users are guided to those items that best meet their needs. A variety of techniques have been proposed for performing recommendation, including content-based, collaborative, knowledge-based and other techniques. However, hyperlink-structure based recommendation is neglected. This paper supplies the lack, and introduces a recommender system using the clustering and similarity of the hyperlink structure.