PageRank在图书推荐技术中的应用研究

Research on PageRank Book Recommendation Technology

分析了PageRank算法在图书推荐系统中的应用现状,并针对该算法检索精确性与相关性差的特点提出一种改进算法,详细推导了图书重要性值的计算过程。将两种算法用于图书馆图书推荐中,结果表明,改进算法不仅可以检索出与关键词有关的图书,而且也能检索出与内容相关的图书,同时具有良好的检索精确性。

This paper analyzes the application status of the PageRank algorithm in Book recommendation system.An improved algorithm is proposed due to its poor retrieval accuracy and content relevance.Detailed derivation of importance of values the book is calculated for the algorithm.Two algorithms is used in library books recommendation system,and the results show that the improved algorithm can not only retrieve keywords books,but can also retrieve books of content relevance.It also has a good retrieval accuracy.