Computer Science ›› 2005, Vol. 32 ›› Issue (10): 176-180.

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ZHU Zheng-Yu, ZHANG Xiao-Lin ,XIONG Qian, XIE Qi-Hong (College of Computer, Chongqing University, Chongqing 400044)   

  • Online:2018-11-17 Published:2018-11-17

Abstract: With the development of E-commerce, the magnitudes of users and Web documents grow rapidly, and result in the extreme data sparseness of users. The traditional algorithms of collaborative recommendation can't solve the problem very well. To address this i

Key words: Interest sub-class, Interest category tree, Collaborative recommendation, Data sparseness, Mean Absolute Error(MAE)

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