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 on-line 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 activity1. © Springer-Verlag Berlin Heidelberg 2004.

An effective recommender system for highly dynamic and large web sites / Baraglia, R.; Merlo, F.; Silvestri, F.. - 3202:(2004), pp. 531-533. (Intervento presentato al convegno PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases tenutosi a Pisa, Italy) [10.1007/978-3-540-30116-5_56].

An effective recommender system for highly dynamic and large web sites

Silvestri F.
2004

Abstract

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 on-line 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 activity1. © Springer-Verlag Berlin Heidelberg 2004.
2004
PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Recommender System
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
An effective recommender system for highly dynamic and large web sites / Baraglia, R.; Merlo, F.; Silvestri, F.. - 3202:(2004), pp. 531-533. (Intervento presentato al convegno PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases tenutosi a Pisa, Italy) [10.1007/978-3-540-30116-5_56].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1572786
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