Trust-based recommendation for the social Web

Author

Oliveira, A.D.R. ; Bessa, L.N. ; Andrade, T.R. ; Filgueiras, L.V.L. ; Sichman, E. J S

Author_Institution

Univ. de Sao Paulo (USP), Sao Paulo, Brazil

Volume

10

Issue

2

fYear

2012

fDate

3/1/2012 12:00:00 AM

Firstpage

1661

Lastpage

1666

Abstract

The social web presents new opportunities for e-commerce and services provided to the consumer. This paper presents an online recommendation system that eases the matching of a user with the most relevant products and services. The designed system consists of three recommendation algorithms; two of them are already widely discussed in the literature, while the third one is new and was proposed to consider the trust relationship between users and their peers. This work also presents an experiment with real users that intends to evaluate the proposed new algorithm in comparison with the other two and also with direct, human-to-human recommendations. The paper presents the results gathered on experimental data analysis and the statistical hypotheses tests that were performed, which allowed concluding in which circumstances trust-based recommendation is advantageous.

Keywords

Internet; data analysis; electronic commerce; recommender systems; security of data; social networking (online); statistical testing; e-commerce; experimental data analysis; online recommendation system; recommendation algorithms; social Web; statistical hypotheses tests; trust-based recommendation; Algorithm design and analysis; Business; Collaboration; Recommender systems; Social network services; Visualization; Recommendation systems; reputation; social network systems;

fLanguage

English

Journal_Title

Latin America Transactions, IEEE (Revista IEEE America Latina)

Publisher

ieee

ISSN

1548-0992

Type

jour

DOI

10.1109/TLA.2012.6187612

Filename

6187612