Stanford InfoLab Publication Server

An Adaptive Web Page Recommendation Service

Balabanovic, Marko (2000) An Adaptive Web Page Recommendation Service. Technical Report. Stanford InfoLab. (Publication Note: Revision appears in First International Conference on Autonomous Agents, February 1997, Marina del Rey CA)




An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. In this paper we introduce the "Fab" adaptive web page recommendation service. There has been much research on analyzing document content in order to improve recommendations or search results. More recently researchers have begun to explore how the similarities between users can be exploited to the same ends. The Fab system strikes a balance between these two approaches, taking advantage of the shared interests among users without losing the benefits of the representations provided by content analysis. Running since March 1996, it has been populated with a collection of agents for the collection and selection of web pages, whose interaction fosters emergent collaborative properties. In this paper we explain the design of the system architecture and report the results of our first experiment, evaluating recommendations provided to a group of test users.

Item Type:Techreport (Technical Report)
Additional Information:Previous number = SIDL-WP-1996-0041
Subjects:Computer Science > Digital Libraries
Projects:Digital Libraries
Related URLs:Project Homepage
ID Code:461
Deposited By:Import Account
Deposited On:28 Oct 2001 16:00
Last Modified:27 Dec 2008 11:27

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