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The Internet and the World Wide Web provides methods of storing and sharing information, especially in academic fields. CiteULike is a communitybased 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. The improved index (based on the improved TFIDF algorithm) will be used further to calculate tag score to give the optimised results. This Sharing and Recommender System would be of great significance to the Academic Community.