期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：1
页码：281-284
出版社：TechScience Publications
摘要：Today, as the Web is rapidly growing at a fasterrate, finding relevant information is becoming extremelydifficult. Information or content can be in any form such asmusic, video, images or text which is of interest to the users.Therefore Recommendation systems come into picture.Recommendation systems are a sub-category of informationfiltering system that help people find products, correctinformation and even other people as well. This paperrepresents Content-Based Recommendation Techniques thatwill help personalize the search and provide only relevantinformation to the user based on previous ratings andpredictions along with a comparative study.
关键词：recommendation techniques; data sparsity; cold;start problem.
