Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (11): 2936-2943.doi: 10.23940/ijpe.19.11.p12.29362943

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A Heuristic Collaborative Filtering Recommendation Algorithm based on Book Personalized Recommendation

Chaoyang Ji*   

  1. College of Information Engineering, Xuchang University, Xuchang, 461000, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: * E-mail address: jcypaper@163.com
  • About author:Chaoyang Ji is received the MS degree in Computer Science from Central China Normal University. He is an associate professor of Computer Science in the College of Information Engineering, Xuchang University. His current research interests include Artificial Intelligence and Information Retrieval.

Abstract: Through data mining technology, the design of intelligent and personalized book recommendation system is an important development direction of scientific library management in the future. This paper proposes a heuristic collaborative filtering recommendation algorithm based on book personalized recommendation and data mining technology. The proposed algorithm calculates the similarity between users by inputting the two-dimensional matrix of user items and using the similarity formula to get the set of user preferences, and finally generates a recommendation list for each user. The simulation results fully show that the proposed collaborative filtering recommendation algorithm has strong personalized recommendation function, can mine the relevance between readers and books, and recommend suitable book information according to readers' personal preferences.

Key words: book personalized recommendation, collaborative filtering recommendation algorithm, heuristic collaborative filtering recommendation algorithm, personalized recommendation system, data mining