文章基本信息

标题：REINFORCEMENT WITH INTENT SEARCH (DOMAIN AREA:DATA MINING AND IMAGE PROCESSING)
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作者：Desai Prerana P. ; Nigade Supriya S. ; Hajare Komal S. 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：2
页码：331-336
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Most of the images in homogeneous image rich information networks are formed by annotations, comments,tags and other information. In this paper, the concept of (homogeneous)image-rich information network is introduced and the problem of performing information retrieval and recommendation in networks. This paper presents a fast algorithm which is the homogeneous minimum order k-SimRank (Hmok-SimRank) to compute link-based similarity in weighted homogeneous information networks. After that, this paper proposes algorithm Content based similarities by considering their color moment ,Edge detection and texture feature. By taking image as a input from the user.Both local and global feature learning methods are designed.Then this paper represents that the proposed approach is significantly better than traditional methods in terms of both relevance and speed.
关键词：InformationRetrieval; ; Imagemining;Ranking;Information ; Network; Image Search