One Class Collaborative Filtering Algorithm Based on Transfer Learning
Abstract: Collaborative filtering is a useful algorithm for problems of personalized recommendation. For these prob-lems, there are many mature collaborative filtering algorithms. One class collaborative filtering is a new field of per-sonalized recommendation. Because of its data characteristics, common collaborative filtering algorithms have a lot of defects in the field of one class collaborative filtering. We studied the algorithm based on weighted matrix decomposi-tion, and optimized this algorithm by transfer learning. We prove the improvement of this optimization by experiments.
文章引用: 罗圣美 , 林运祯 , 叶小伟 , 文海龙 (2013) 基于迁移学习的单类协同过滤算法。 数据挖掘， 3， 12-17. doi: 10.12677/HJDM.2013.31003
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