A System for Web Widget Discovery Using Semantic Distance between User Intent and Social Tags

Zhenzhen Zhao, Xiaodi Huang, Noël Crespi

Research output: Book chapter/Published conference paperConference paperpeer-review

1 Citation (Scopus)


Social interaction leverages collective intelligence through user-generated 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
Subtitle of host publication4th International Conference, SocInfo 2012
Place of PublicationGermany
Number of pages14
Publication statusPublished - 2012
EventSocInfo 2012: The 4th International Conference on Social Informatics - EPFL, Lausanne, Switzerland
Duration: 05 Dec 201207 Dec 2012

Publication series

ISSN (Print)0302-9743


ConferenceSocInfo 2012
OtherThe International Conference on Social Informatics (SocInfo 2012) is an interdisciplinary venue for researchers from Computer Science, Informatics, Social Sciences and Management Sciences to share ideas and opinions, and present original research work on studying the interplay between socially-centric platforms and social phenomena. The ultimate goal of Social Informatics is to create better understanding of socially-centric platforms not just as a technology, but also as a set of social phenomena. To that end, we are inviting interdisciplinary papers, on applying information technology in the study of social phenomena, on applying social concepts in the design of information systems, on applying methods from the social sciences in the study of social computing and information systems, on applying computational algorithms to facilitate the study of social systems and human social dynamics, and on designing information and communication technologies that consider social context.
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