Toward a User Interest Ontology to Improve Social Network-Based Recommender System

Mohamed Frikha; Mohamed Mhiri; Faı̈ez Gargouri

doi:10.1007/978-3-319-05503-9_25

ScienceGate Book Chapters

BOOK-CHAPTER

Toward a User Interest Ontology to Improve Social Network-Based Recommender System

Mohamed Frikha Mohamed Mhiri Faı̈ez Gargouri

Year: 2014 Studies in computational intelligence Pages: 255-264 Publisher: Springer Nature

DOI: 10.1007/978-3-319-05503-9_25

Get Full-Text PDF Get Analytical Report

Keywords:

Recommender system Ontology Computer science World Wide Web Information retrieval Social network (sociolinguistics) User profile User modeling Data science User interface Social media

Metrics

Cited By

4.62

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Caching and Content Delivery

Physical Sciences → Computer Science → Computer Networks and Communications

Peer-to-Peer Network Technologies

Physical Sciences → Computer Science → Computer Networks and Communications

Toward a User Interest Ontology to Improve Social Network-Based Recommender System

Metrics

Citation History

Topics

Related Documents

Toward ontology-based personalization of a recommender system in social network

Personal recommender system based on user interest community in social network model

Ontology based recommender system using social network data

Ontology-based Social Recommender System

Designing a User Interest Ontology-Driven Social Recommender System: Application for Tunisian Tourism