Collaborative Filtering Book Recommendation Algorithm Based on Author
Choosing accurate book recommendation algorithm not only allows readers to obtain the required book information quickly and efficiently,reduces the retrieval and search time,but also gives better play to the latent value of library collection resources.Based on the theory and method of collaborative filtering recommendation algorithm,in view of the shortcomings of the two commonly used collaborative filtering book recommendation algorithms,from the perspective of the similarity between the authors,collaborative filtering book recommendation algorithm based on authors is proposed.The method includes calculating the author's feature vector,calculating similarity,logical scoring,TOP-K recommendation and other steps.The algorithm example shows the basic principle and implementation process of the algorithm,and the results show that the algorithm is simple,convenient and feasible,which provides a new idea for book management recommendation work.
国家科技期刊平台
NSTL
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