A heuristic collaborative filtering recommendation algorithm based on book personalized recommendation

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. © 2019 Totem Publisher, Inc. All rights reserved.