Personal book recommendation is based on readers'historical borrowing behavior,using modern computer mining technology to find the strong correlation between readers and books.By analyzing the traces left by readers in OPAC library management system,the similarity of traces semantics is calculated,traces network is constructed,and the model of traces semantics preference analysis between readers and books is established.The purpose is to provide suggestions for the library's book recommendation strategy of"thousands of people and thousands of faces",in order to improve the quality of book reco...
