An Effective Recommender System for Highly Dynamic and Large Web Sites
Ranieri Baraglia, Francesco Merlo, Fabrizio Silvestri · Lecture notes in computer science · 2004
In this demo we show a recommender system, called SUGGEST , that dynamically generates links to pages that have not yet been visited by a user and might be of his potential interest. Usually other recommender systems exploit a kind of two-phase architecture composed by an off-line component that analyzes Web server access logs and generates information used by a successive online component that generates recommendations. SUGGEST collapse the two-phase into a single online Apache module. The component is able to manage very large Web sites made up of dinamically generated pages by means of an efficient LRU-based database management strategy. The demo will show the way SUGGEST is able to anticipate users’ requests that will be made farther in the future, introducing a limited overhead on the Web server activity.