✦ LIBER ✦

An adaptive user profile for filtering news based on a user interest hierarchy

✍ Scribed by Sarabdeep Singh; Michael Shepherd (Corresponding Author); Jack Duffy; Carolyn Watters

Publisher: Wiley (John Wiley & Sons)
Year: 2007
Tongue: English
Weight: 162 KB
Volume: 43
Category: Article
ISSN: 0044-7870
DOI: 10.1002/meet.1450430154

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

A prototype system for the filtering and ranking of news items has been developed and a pilot test has been conducted. The user's interests are modeled by a user interest hierarchy based on explicit user feedback with adaptive learning after each session. The system learned very quickly, reaching normalized recall values of over 0.9 within three sessions. When the user's interests “drifted”, the system adapted but the speed with which it adapted seemed dependent on the amount of feedback provided by the user.

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