One Class Collaborative Filtering Algorithm Based on Transfer Learning

nd , 2012; revised: Dec. 20 th , 2012; accepted: Dec. 28 th , 2012 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.