Recommendations based on different aspects of influences in social media

Chin Hui Lai, Duen-Ren Liu, Mei Lan Liu

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)


Among the applications of Web 2.0, social networking sites continue to proliferate and the volume of content keeps growing; as a result, information overload causes difficulty for users attempting to choose useful and relevant information. In this work, we propose a novel recommendation method based on different types of influences: social, interest and popularity, using personal tendencies in regard to these three decision factors to recommend photos in a photo-sharing website, Flickr. Because these influences have different degrees of impact on each user, the personal tendencies related to these three influences are regarded as personalized weights; combining influence scores enables predicting the scores of items. The experimental results show that our proposed methods can improve the quality of recommendations.

頁(從 - 到)194-201
期刊Lecture Notes in Business Information Processing
出版狀態Published - 1 1月 2013


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