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X-Hinter; a framework for implementing social oriented recommender systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Accordingly to the nature of data-driven applications that produce information overload, users need a support to make choices, even without sufficient personal experience of the alternatives. In this context, social networking techniques could be useful applied for finding affinities between users and filter information in a personalized way. After proposing a generalized model for social recommender systems, called X-Hinter, we describe a Java API that provides a set of libraries and tools to build social filtering systems in a wide range of domains. A prototype implementation, named De-Hinter, shows the feasibility of the proposed approach in a P2P file sharing application.

Original languageEnglish
Title of host publicationHYPERTEXT'08
Subtitle of host publicationProceedings of the 19th ACM Conference on Hypertext and Hypermedia 2008, HT'08 with Creating'08 and WebScience'08
PublisherAssociation for Computing Machinery (ACM)
Pages235-236
Number of pages2
ISBN (Print)9781595939852, 9781595939852
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event19th ACM Conference on Hypertext and Hypermedia 2008, HT 2008 - Pittsburgh, PA, United States
Duration: 19 Jun 2008 → 21 Jun 2008

Publication series

NameHYPERTEXT'08: Proceedings of the 19th ACM Conference on Hypertext and Hypermedia, HT'08 with Creating'08 and WebScience'08

Conference

Conference19th ACM Conference on Hypertext and Hypermedia 2008, HT 2008
Country/TerritoryUnited States
CityPittsburgh, PA
Period19/06/08 → 21/06/08

Keywords

  • Peer-to-peer
  • Recommender systems
  • Social networks

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