SimTrust: A new method of trust network generation

Touhid Bhuiyan; Yue Xu; Audun Jøsang

doi:10.1109/EUC.2010.113

SimTrust: A new method of trust network generation

Touhid Bhuiyan, Yue Xu, Audun Jøsang

Research output: Contribution to conference › Conference paper

1 Citation (Scopus)

Abstract

Trust can be used for neighbor formation to generate automated recommendations. User assigned explicit rating data can be used for this purpose. However, the explicit rating data is not always available. In this paper we present a new method of generating trust network based on user's interest similarity. To identify the interest similarity, we use user's personalized tag information. This trust network can be used to find the neighbors to make automated recommendation. Our experiment result shows that the precision of the proposed method outperforms the traditional collaborative filtering approach.

Original language	English
Pages	718-722
Number of pages	5
DOIs	https://doi.org/10.1109/EUC.2010.113
Publication status	Published - 1 Dec 2010
Externally published	Yes
Event	Proceedings - IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2010 - Duration: 1 Dec 2010 → …

Conference

Conference	Proceedings - IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2010
Period	1/12/10 → …

Keywords

Interest similarity
Rating
Recommender
Tag
Trust network

Access to Document

10.1109/EUC.2010.113

Cite this

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title = "SimTrust: A new method of trust network generation",

abstract = "Trust can be used for neighbor formation to generate automated recommendations. User assigned explicit rating data can be used for this purpose. However, the explicit rating data is not always available. In this paper we present a new method of generating trust network based on user's interest similarity. To identify the interest similarity, we use user's personalized tag information. This trust network can be used to find the neighbors to make automated recommendation. Our experiment result shows that the precision of the proposed method outperforms the traditional collaborative filtering approach.",

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author = "Touhid Bhuiyan and Yue Xu and Audun J{\o}sang",

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doi = "10.1109/EUC.2010.113",

language = "English",

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AU - Bhuiyan, Touhid

AU - Xu, Yue

AU - Jøsang, Audun

PY - 2010/12/1

Y1 - 2010/12/1

N2 - Trust can be used for neighbor formation to generate automated recommendations. User assigned explicit rating data can be used for this purpose. However, the explicit rating data is not always available. In this paper we present a new method of generating trust network based on user's interest similarity. To identify the interest similarity, we use user's personalized tag information. This trust network can be used to find the neighbors to make automated recommendation. Our experiment result shows that the precision of the proposed method outperforms the traditional collaborative filtering approach.

AB - Trust can be used for neighbor formation to generate automated recommendations. User assigned explicit rating data can be used for this purpose. However, the explicit rating data is not always available. In this paper we present a new method of generating trust network based on user's interest similarity. To identify the interest similarity, we use user's personalized tag information. This trust network can be used to find the neighbors to make automated recommendation. Our experiment result shows that the precision of the proposed method outperforms the traditional collaborative filtering approach.

KW - Interest similarity

KW - Rating

KW - Recommender

KW - Tag

KW - Trust network

U2 - 10.1109/EUC.2010.113

DO - 10.1109/EUC.2010.113

M3 - Conference paper

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T2 - Proceedings - IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2010

Y2 - 1 December 2010

ER -

SimTrust: A new method of trust network generation

Abstract

Conference

Keywords

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