Research on Personalized Book Recommendation Based on Improved Similarity Calculation and Data Filling Collaborative Filtering Algorithm

Table 1

Comparison of advantages and disadvantages of book recommendation algorithms.

Book recommendation algorithm	Advantage	Disadvantages
Content-based recommendation algorithms	Easy to implement, simple method, high recommendation quality, and real-time	The algorithm for extracting content is complex and difficult to process
Recommendation algorithm based on association rules	High recommendation quality	Difficulty in data mining, low computational efficiency, poor personalized recommendation
Collaborative filtering recommendation algorithms	Simple method and can handle complex structures, and better personalized recommendation	Cold start problems, data sparse problems
Hybrid recommendation algorithm	Comprehensive use, high recommended quality	The algorithm is complex and the calculation is difficult