Toggle Main Menu Toggle Search

Open Access padlockePrints

Modeling Trust for Recommender Systems using Similarity Metrics

Lookup NU author(s): Dr Georgios Pitsilis, Emeritus Professor Lindsay MarshallORCiD


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


In this paper we present novel techniques for modeling trust relationships that can be used in recommender systems. Such environments exist with the voluntary collaboration of the community members who have as a common purpose the provision of accurate recommendations to each other. The performance of such systems can be enhanced if the potential trust between the members is properly exploited. This requires that trust relationships are appropriately established between them. Our model provides a link between the existing knowledge, expressed in similarity metrics, and beliefs which are required for establishing a trust community. Although we explore this challenge using an empirical approach, we attempt a comparison between the alternative candidate formulas with the aim of finding the optimal one. A statistical analysis of the evaluation results shows which one is the best. We also compare our new model with existing techniques that can be used for the same purpose. © 2008 International Federation for Information Processing.

Publication metadata

Author(s): Pitsilis G, Marshall LF

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Trust Management II: Proceedings of IFIPTM 2008: Joint iTrust and PST Conferences on Privacy, Trust Management and Security

Year of Conference: 2008

Pages: 103-118

ISSN: 1868-4238

Publisher: Springer


DOI: 10.1007/978-0-387-09428-1_7

Library holdings: Search Newcastle University Library for this item

Series Title: IFIP International Federation for Information Processing

ISBN: 9780387094274