An Improved Framework for Tag-Based Academic Information Sharing and Recommendation System
The Internet and the World Wide Web provides methods of storing and sharing information, especially in academic fields. CiteULike is a community based research paper sharing system, which is popular among researchers. This paper proposes a framework for a tag-based Academic Information Sharing and Recommender System which shares information such as question papers, assignments, tutorials and quizzes on a specific area. The approach is based on the set of tags for recommending academic information to each user on the area of his choice. User self-defined tags could be attached to academic information and it can be used further to calculate tag score.