期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：3
页码：418-421
语种：English
出版社：Ayushmaan Technologies
摘要：Rapid development of various social sites make the user to share the multimedia content .The metadata generated by user not only help the large scale society to share and organize this content but also provide the use full information to improve the retrieval management. This paper explains the social need of multimedia and purpose a method to personalize the image search considering the user and query relevance. This method used a ranking based multicorrelation Tensor Factorization method to perform annotationprediction and again we introduce User specific topic modeling to map the query relevance and user performance.
关键词：Personalized Image Search;Tensor Factorization;Topic Model; Social Annotation
