2016 International Conference on Information Technology for Organizations Development (IT4OD) 2016
DOI: 10.1109/it4od.2016.7479277
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A novel collaborative filtering approach based on social network experts

Abstract: collaborative filtering is considered as the most popular approach for generating recommendations. It provides various techniques which rely on similar users (or items) to compute recommendations. In order to solve many problems such as sparsity, scalability and shilling attacks, there has been a great interest to expert-based collaborative methods. However, selecting reliable experts is still under study. In this work, we investigate the effect of incorporating the social weight of experts in the selection ph… Show more

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“…Many recommendation system approaches have been proposed and developed in order to meet the growing needs of users and to overcome the encountered problems in the recommendation process. According to [2], three main types of recommendation systems have been proposed in the literature: collaborative filtering (CF) [11], recommendation systems based on the content [12], and hybrid recommendation systems [13], [14].…”
Section: Introductionmentioning
confidence: 99%
“…Many recommendation system approaches have been proposed and developed in order to meet the growing needs of users and to overcome the encountered problems in the recommendation process. According to [2], three main types of recommendation systems have been proposed in the literature: collaborative filtering (CF) [11], recommendation systems based on the content [12], and hybrid recommendation systems [13], [14].…”
Section: Introductionmentioning
confidence: 99%