期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：6
页码：12941-12946
出版社：IJECS
摘要：Social networking sites produce an exponential amount of information and it is necessary to incorporate scalablerecommender systems. In Existing Recommendation Techniques, Social Relationship Information has not been fully used. It ishard to find the contextual factors and integrate them into efficient recommendation framework. In addition to that, Predictionqualities are the most important challenges. This paper analyses this recommendation problem on the basis of psychology of theperson and social relation among the persons, that exhibit two factors – User’s Preference and Relationship Influence. Itproposes Hybrid Filtering Approach to incorporate user’s preference and relationship influence. This paper uses the prioritybased ranking algorithm to improve accuracy of social recommendation
