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Socially-Aware Recommender Systems
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 115 - Number 3 |
| Year of Publication: 2015 |
| Authors: Nana Yaw Asabere, Wisdom Kwawu Torgby, Tonny Montana Adegboyega, Dorothy Anima Frempong |
10.5120/20134-2224
|
Nana Yaw Asabere, Wisdom Kwawu Torgby, Tonny Montana Adegboyega, Dorothy Anima Frempong . Socially-Aware Recommender Systems. International Journal of Computer Applications. 115, 3 ( April 2015), 34-38. DOI=10.5120/20134-2224
Abstract
In current social networks, users are characterized by social properties. Are these social properties relevant in a recommendation process? Can social properties such as social ties and degree centrality of users be applied to generate effective recommendations? In answering these questions, the authors draw pertinent literature and argue that indeed the incorporation of social properties in recommender systems is very significant for generating reliable recommendations for users. The authors envisage that innovative research in recommender systems should integrate the social properties of users in order to generate trustworthy and efficient recommendations.
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