User Profiling Techniques : A Critical Review

Abstract

The key to effective information filtering is user profiling - the ability to represent and reason about the interests or preferences of a user. This paper briefly surveys techniques for filtering the vast amount of information that is now available on the Internet and other electronic sources, in a variety of media. The non-explicit social information filtering approach is then examined in more detail and a new algorithm proposed which compares favourably with earlier approaches.

Contributors

Scott Stewart

John Davies

Conference

Publication date: April 1997

Publication date (Print): April 1997

Pages: 1-22

Affiliations

Information Access Research

MLB 1/14,

BT Laboratories

Ipswich IP5 7RE

UK

Article

DOI: 10.14236/ewic/IR1997.10

Copyright statement: © Scott Stewart et al. Published by BCS Learning and Development Ltd. Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research, Aberdeen, Scotland

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research

Conference acronym: IR

Conference number: 19

Conference location: Aberdeen, Scotland

Conference date: 8-9 April 1997

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: IR Research

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/IR1997.10

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing