Forgetting curve-based collaborative filtering recommendation model
Zhiqiang Ma · Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · 2012
According to the time effect of historical information in a recommendation system,a forgetting curvebased collaborative filtering recommendation system was proposed.Based on components of the recommendation system,the model involved a time-effect quantization function into the calculation process of recommendations for unknown resources.Through a multi-procedure time-effect quantization model and the unit time mapping function,the model revealed a pattern of time-effect attenuating with customer's interest for various resources,and obtained recommendations corresponding with forgetting characteristics of memory psychology.Experimental results demonstrate that this approach can reasonably solve time-effect quantization issues and perform better than current collaborative filtering recommendation systems.