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A system for web widget discovery using semantic distance between user intent and social tags

  • CNRS SAMOVAR UMR 5157
  • Charles Sturt University

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

Abstract

Social interaction leverages collective intelligence through usergenerated content, social networking, and social annotation. Users are enabled to enrich knowledge representation by rating, commenting, and tagging. The existing systems for service discovery make use of semantic relation among social tags, but ignore the relation between a user information need for services and tags. This paper first provides an overview of how social tagging is applied to discover contents/services. An enhanced web widget discovery model that aims to discover services mostly relevant to users is then proposed. The model includes an algorithm that quantifies the accurate relation between user intent for a service and the tags of a widget, as well as three different widget discovery schemes. Using the online service of Widgetbox.com, we experimentally demonstrate the accuracy and efficiency of our system.

Original languageEnglish
Title of host publicationSocial Informatics - 4th International Conference, SocInfo 2012, Proceedings
EditorsKarl Aberer, Andreas Flache, Wander Jager, Ling Liu, Jie Tang, Christophe Guéret
PublisherSpringer Verlag
Pages1-14
Number of pages14
ISBN (Print)9783642353857
DOIs
Publication statusPublished - 1 Jan 2012
Externally publishedYes
Event4th International Conference on Social Informatics, SocInfo 2012 - Lausanne, Switzerland
Duration: 5 Dec 20127 Dec 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7710
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Social Informatics, SocInfo 2012
Country/TerritorySwitzerland
CityLausanne
Period5/12/127/12/12

Keywords

  • Algorithm
  • Content discovery
  • Folksonomy
  • Service discovery
  • Social tagging
  • Widget

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