Matrix Factorization for Personalized Recommendation With Implicit Feedback and Temporal Information in Social Ecommerce Networks
Collaborative filtering with implicit feedback is regarded as one of FLORALAX II the most challenging issues in social ecommerce networks.However, the scarcity of negative feedback and the impact of time makes collaborative filtering difficult to use.Most models assign a uniform weight to missing data, but this method is invalid in the real world a