Paper Info
Title
A User Model Based on Content Analysis for the Intelligent Personalization of a News Service
Abstract
In this paper we present a methodology designed to improve the intelligent personalization of news services. Our methodology integrates textual content analysis tasks to achieve an elaborate user model, which represents separately short-term needs and long-term multi-topic interests. The characterization of user's interests includes his preferences about content, using a wide coverage and non-specific-domain classification of topics, and structure (newspaper sections). The application of implicit feedback allows a proper and dynamic personalization.
Year
DOI
Venue
2001
10.1007/3-540-44566-8_25
User Modeling
Keywords
Field
DocType
user model,intelligent personalization,long-term multi-topic interest,short-term need,content analysis,non-specific-domain classification,elaborate user model,textual content analysis task,news service,newspaper section,implicit feedback,dynamic personalization
World Wide Web,Content analysis,Computer science,Newspaper,User modeling,Information Dissemination,Personalization
Conference
Volume
ISSN
ISBN
2109
0302-9743
3-540-42325-7
Citations 
PageRank 
References 
4
0.44
7
Authors
4
Name
Order
Citations
PageRank
Manuel De Buenaga Rodríguez16716.59
Manuel Maña López210614.57
Alberto Díaz Esteban3134.57
Pablo Gervás Gómez-Navarro4132.29