Filtering out unfair recommendations for trust model in ubiquitous environments

Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young Koo Lee, Heejo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents a novel context-based approach to filter out unfair recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the user’s activity, state and intention. Incremental learning based neural network is used to dispose the context in order to find doubtful recommendations. This approach has distinct advantages when dealing with randomly given irresponsible recommendations, individual unfair recommendations as well as unfair recommendations flooding.

Original languageEnglish
Title of host publicationInformation Systems Security - 2nd International Conference, ICISS 2006, Proceedings
EditorsAditya Bagchi, Vijayalakshmi Atluri
PublisherSpringer Verlag
Pages357-360
Number of pages4
ISBN (Print)9783540689621
DOIs
Publication statusPublished - 2006
Event2nd International Conference on Information Systems Security, ICISS 2006 - Kolkata, India
Duration: 2006 Dec 192006 Dec 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4332 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Information Systems Security, ICISS 2006
Country/TerritoryIndia
CityKolkata
Period06/12/1906/12/21

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2006.

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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