UPM Institutional Repository

A review on similarity measurement methods in trust-based recommender systems


Moghaddam, Morteza Ghorbani and Mustapha, Norwati and Mustapha, Aida and Mohd Sharef, Nurfadhlina and Elahian, Anousheh (2014) A review on similarity measurement methods in trust-based recommender systems. International Journal of Information Science and Management (spec.). 13 - 22. ISSN 2008-8302; ESSN: 2008-8310


These days, due to growing the e-commerce sites, access to information about items is easier than past. But because of huge amount of information, we need new filtering techniques to find interested information faster and more accurate. Therefore Recommender Systems (RS) introduced for solving this problem. Although several recommender approaches have proposed, Collaborative Filtering (CF) approaches are the most successful ones. These approaches use historical behaviors of users for making recommendation. Next generation of CF, called Trust-based CF, use social relations and activities for measuring trust between users. One important step in these approaches is measuring the similarity between users, which affect recommendation results. Therefore variety methods for this reason have been proposed. In this paper, we will review and categorize the measurement methods. We will also analyze the methods to identify their characteristics, benefits and drawbacks.

Download File

PDF (Abstract)
A review on similarity measurement methods in trust.pdf

Download (83kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Regional Information Center for Science and Technology
Keywords: Measurement methods; Trust-based approaches; Recommender systems; Collaborative Filtering; E-commerce
Depositing User: Nabilah Mustapa
Date Deposited: 25 Jun 2015 03:15
Last Modified: 07 Oct 2015 00:05
URI: http://psasir.upm.edu.my/id/eprint/36271
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item