Social and Behavioral Aspects of a Tag-Based Recommender System

Frederico Durao, Peter Dolog

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (Scopus)

Abstract

Collaborative tagging has emerged as a useful means to organize and share resources on the Web. Recommender systems have been utilized tags for identifying similar resources and generate personalized recommendations. In this paper, we analyze social and behavioral aspects of a tag-based recommender system which suggests similar Web pages based on the similarity of their tags. Tagging behavior and language anomalies in tagging activities are some aspects examined from an experiment involving 38 people from 12 countries.
Original languageEnglish
Title of host publicationProceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications
PublisherIEEE Computer Society Press
Publication date2009
Pages294-299
ISBN (Electronic)978-0-7695-3872-3
DOIs
Publication statusPublished - 2009
EventIntelligent Systems Design and Applications (ISDA) - Pisa, Italy
Duration: 30 Nov 20092 Dec 2009
Conference number: 9

Conference

ConferenceIntelligent Systems Design and Applications (ISDA)
Number9
Country/TerritoryItaly
CityPisa
Period30/11/200902/12/2009

Keywords

  • personalization
  • social
  • tag
  • recommendation

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