Recommendation of location-based services based on composite measures of trust degree

Weimin Li, Mengke Yao, Xiaokang Zhou, Shoji Nishimura, Qun Jin

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

As more and more users use the mobile terminals of high computing power, the location-based services (LBS) recommendations for mobile users have become an important and interesting topic. Mobile users are eager to get their interested and reliable services quickly. A considerable number of research works have been dedicated to service recommendation based on users’ preferences and locations. In this paper, we study the credibility of recommended services, and propose a set of composite measures on how to provide more reliable services. We further propose the trustworthy Skyline of LBS recommendation in terms of the trust degree based on the newly introduced composite measures to achieve more credibility to provide recommendation services. Experimental results show that our method can recommend desired and trusted services to users.

Original languageEnglish
Pages (from-to)1154-1165
Number of pages12
JournalJournal of Supercomputing
Volume69
Issue number3
DOIs
Publication statusPublished - 2014 Jan 1

Keywords

  • Credibility
  • Location-based services (LBS)
  • Recommendation
  • Skyline

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Hardware and Architecture

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