期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：5
出版社：S.S. Mishra
摘要：As the content over World Wide Web is rapidly increasing, web users get huge amount of data in response to their query. To overcome this problem recommendation techniques are being used to recommend books, images, music, movies etc. to the users. There are many recommender systems exist in the real world. This paper presents a novel approach in making recommendations. It builds a graph based on the dataset being used. Afterwards, it employs diffusion method to find the similarities among nodes in the graph to generate recommendations. This paper presents a general framework that is meant for making recommendations such as query suggestions and image recommendations. We built a prototype web application to test the efficiency of the proposed framework. The empirical results revealed that the proposed framework is effective and can be used in real world applications
关键词：C Data mining; recommendations; diffusion method; web graphs
