Recommandation experte via les réseaux sociaux sémantiques

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Author(s)

Detail(s)

Original languageFrench
Title of host publicationICIS 2008 Proceedings - Twenty Ninth International Conference on Information Systems
StatePublished - 2008
Externally publishedYes

Conference

Title29th International Conference on Information Systems, ICIS 2008
PlaceFrance
CityParis
Period14 - 17 December 2008

Abstract

The use of social network analysis (SNA) in the design of expert recommendation systems is becoming increasingly popular. However, the experts recommended from such systems often do not meet users' needs since the network semantic information is largely ignored. In this study, we used conditional logistic analysis to quantitatively examine the semantics of two social networks in a large open source community called Ohloh. It was found that homophily in nationality, location, programming language preference, and community reputation are determinants for forming evaluation and collaboration relationships among the Ohloh members. Moreover, past collaborations and mutual acquaintances are also found to significantly affect the formation of evaluation links but not collaboration links. In addition, we demonstrated how to embed the discovered network semantics into the design of expert recommendation systems through two mechanisms - user-based link prediction and Top-N most recognized mechanism.

Research Area(s)

Citation Format(s)

Recommandation experte via les réseaux sociaux sémantiques. / Hu, Daning; Leon Zhao, J.

ICIS 2008 Proceedings - Twenty Ninth International Conference on Information Systems. 2008.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review