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Collaborative Filtering-based Model of Book Recommendation

An Dezhi1 Liu Guangming2 Zhan Heng2 1Computer School of Gansu Institute of Political Science and Law,Lanzhou 730070 2Gansu Computing Center,Lanzhou 730000  
In regard to the impossibility of recommending accurate and individualized book through traditional digital libraries,the paper puts forth the construction of intelligent and collaborative filtering-based book recommendation.At first,books are clustered to construct complete evaluative matrix,then predict readers' hobbies after they score similar books,and provide individual recommendation of books for readers.It is possible to do so even in case that the scoring data are rare.The experiment has proven it efficient and practical.
【CateGory Index】: TP311.13;G250.76
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