A review on similarity measurement methods in trust-based recommender systems
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Regional Information Center for Science and Technology
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/36271/ http://psasir.upm.edu.my/id/eprint/36271/1/A%20review%20on%20similarity%20measurement%20methods%20in%20trust.pdf |
| _version_ | 1848848285644619776 |
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| author | Moghaddam, Morteza Ghorbani Mustapha, Norwati Mustapha, Aida Mohd Sharef, Nurfadhlina Elahian, Anousheh |
| author_facet | Moghaddam, Morteza Ghorbani Mustapha, Norwati Mustapha, Aida Mohd Sharef, Nurfadhlina Elahian, Anousheh |
| author_sort | Moghaddam, Morteza Ghorbani |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T09:32:04Z |
| format | Article |
| id | upm-36271 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:32:04Z |
| publishDate | 2014 |
| publisher | Regional Information Center for Science and Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-362712015-10-07T00:05:33Z http://psasir.upm.edu.my/id/eprint/36271/ A review on similarity measurement methods in trust-based recommender systems Moghaddam, Morteza Ghorbani Mustapha, Norwati Mustapha, Aida Mohd Sharef, Nurfadhlina Elahian, Anousheh 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. Regional Information Center for Science and Technology 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/36271/1/A%20review%20on%20similarity%20measurement%20methods%20in%20trust.pdf 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 http://ijism.ricest.ac.ir/index.php/ijism/article/view/344 |
| spellingShingle | Moghaddam, Morteza Ghorbani Mustapha, Norwati Mustapha, Aida Mohd Sharef, Nurfadhlina Elahian, Anousheh A review on similarity measurement methods in trust-based recommender systems |
| title | A review on similarity measurement methods in trust-based recommender systems |
| title_full | A review on similarity measurement methods in trust-based recommender systems |
| title_fullStr | A review on similarity measurement methods in trust-based recommender systems |
| title_full_unstemmed | A review on similarity measurement methods in trust-based recommender systems |
| title_short | A review on similarity measurement methods in trust-based recommender systems |
| title_sort | review on similarity measurement methods in trust-based recommender systems |
| url | http://psasir.upm.edu.my/id/eprint/36271/ http://psasir.upm.edu.my/id/eprint/36271/ http://psasir.upm.edu.my/id/eprint/36271/1/A%20review%20on%20similarity%20measurement%20methods%20in%20trust.pdf |