期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：3
页码：4210-4215
出版社：TechScience Publications
摘要：The content-based recommendation systems, is a systems that recommend any information to a user based upon a description of the page or document and a profile of the user’s interests. Content-based recommendation systems may be used in a variety of domains ranging from recommending web pages, news articles, restaurants, television programs, and items for sale. Although the details of various systems differ, content-based recommendation systems share in common a means for describing the items that may be recommended, a means for creating a profile of the user that describes the types of items the user likes, and a means of comparing items to the user profile to determine what to recommend. This paper presents a novel content-based recommendation method which recommends web pages content of a user’s recent interests in a page. Traditionally, a web page is recommended based on a comparison between a user’s profile and web contents that are represented as a set of feature keywords. This paper proposes a new approach to representing and extracting page using SOM and Latent Dirichlet Allocation (LDA) Model. Most of the techniques presented are based on URL or title of pages for recommendation this method is only based on content of a page for recommendation. This paper proposed Content Based Recommendation System Using Latent Dirichlet Allocation Model.
