The power of implicit social relation in rating prediction of social recommender systems of social recommender
The explosive growth of social networks in recent times has presented a powerful source of information to be utilized as an extra source for assisting in the social recommendation problems. The social recommendation methods that are based on probabilistic matrix factorization improved the recommenda...
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2016
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Online Access: | http://eprints.utm.my/id/eprint/72585/1/Waleed2016_ThePowerofImplicitSocialRelation.pdf http://eprints.utm.my/id/eprint/72585/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968608575&doi=10.1371%2fjournal.pone.0154848&partnerID=40&md5=41e3a5a6c20d4eaf93a824b5bd6a6160 |
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my.utm.725852017-11-27T05:00:38Z http://eprints.utm.my/id/eprint/72585/ The power of implicit social relation in rating prediction of social recommender systems of social recommender Reafee, W. Salim, N. Khan, A. QA75 Electronic computers. Computer science The explosive growth of social networks in recent times has presented a powerful source of information to be utilized as an extra source for assisting in the social recommendation problems. The social recommendation methods that are based on probabilistic matrix factorization improved the recommendation accuracy and partly solved the cold-start and data sparsity problems. However, these methods only exploited the explicit social relations and almost completely ignored the implicit social relations. In this article, we firstly propose an algorithm to extract the implicit relation in the undirected graphs of social networks by exploiting the link prediction techniques. Furthermore, we propose a new probabilistic matrix factorization method to alleviate the data sparsity problem through incorporating explicit friendship and implicit friendship. We evaluate our proposed approach on two real datasets, Last.Fm and Douban. The experimental results show that our method performs much better than the state-of-the-art approaches, which indicates the importance of incorporating implicit social relations in the recommendation process to address the poor prediction accuracy. Public Library of Science 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/72585/1/Waleed2016_ThePowerofImplicitSocialRelation.pdf Reafee, W. and Salim, N. and Khan, A. (2016) The power of implicit social relation in rating prediction of social recommender systems of social recommender. PLoS ONE, 11 (5). ISSN 1932-6203 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968608575&doi=10.1371%2fjournal.pone.0154848&partnerID=40&md5=41e3a5a6c20d4eaf93a824b5bd6a6160 |
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QA75 Electronic computers. Computer science Reafee, W. Salim, N. Khan, A. The power of implicit social relation in rating prediction of social recommender systems of social recommender |
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The explosive growth of social networks in recent times has presented a powerful source of information to be utilized as an extra source for assisting in the social recommendation problems. The social recommendation methods that are based on probabilistic matrix factorization improved the recommendation accuracy and partly solved the cold-start and data sparsity problems. However, these methods only exploited the explicit social relations and almost completely ignored the implicit social relations. In this article, we firstly propose an algorithm to extract the implicit relation in the undirected graphs of social networks by exploiting the link prediction techniques. Furthermore, we propose a new probabilistic matrix factorization method to alleviate the data sparsity problem through incorporating explicit friendship and implicit friendship. We evaluate our proposed approach on two real datasets, Last.Fm and Douban. The experimental results show that our method performs much better than the state-of-the-art approaches, which indicates the importance of incorporating implicit social relations in the recommendation process to address the poor prediction accuracy. |
format |
Article |
author |
Reafee, W. Salim, N. Khan, A. |
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Reafee, W. Salim, N. Khan, A. |
author_sort |
Reafee, W. |
title |
The power of implicit social relation in rating prediction of social recommender systems of social recommender |
title_short |
The power of implicit social relation in rating prediction of social recommender systems of social recommender |
title_full |
The power of implicit social relation in rating prediction of social recommender systems of social recommender |
title_fullStr |
The power of implicit social relation in rating prediction of social recommender systems of social recommender |
title_full_unstemmed |
The power of implicit social relation in rating prediction of social recommender systems of social recommender |
title_sort |
power of implicit social relation in rating prediction of social recommender systems of social recommender |
publisher |
Public Library of Science |
publishDate |
2016 |
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http://eprints.utm.my/id/eprint/72585/1/Waleed2016_ThePowerofImplicitSocialRelation.pdf http://eprints.utm.my/id/eprint/72585/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968608575&doi=10.1371%2fjournal.pone.0154848&partnerID=40&md5=41e3a5a6c20d4eaf93a824b5bd6a6160 |
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13.160551 |