Collaborative tagging in recommender systems

Ae Ttie Ji, Cheol Yeon, Heung Nam Kim, Geun Sik Jo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

27 Scopus citations

Abstract

This paper proposes a collaborative filtering method with usercreated tags focusing on changes of web content and internet services. Collaborative tagging is employed as an approach in order to grasp and filter users' preferences for items. In addition, we explore several advantages of collaborative tagging for future searching and information sharing which is used for automatic analysis of user preference and recommendation. We present empirical experiments using real dataset from del.icio.us to demonstrate our algorithm and evaluate performance compared with existing works.

Original languageEnglish
Title of host publicationAI 2007
Subtitle of host publicationAdvances in Artificial Intelligence - 20th Australian Joint Conference on Artificial Intelligence, Proceedings
PublisherSpringer Verlag
Pages377-386
Number of pages10
ISBN (Print)9783540769262
DOIs
StatePublished - 2007
Event20th Australian Joint Conference on Artificial Intelligence, AI 2007 - Gold Coast, Australia
Duration: 2 Dec 20076 Dec 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4830 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th Australian Joint Conference on Artificial Intelligence, AI 2007
Country/TerritoryAustralia
CityGold Coast
Period2/12/076/12/07

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