Effective Cross Domain Collaborative Filtering using Temporal Domain A Brief Survey
Cross domain collaborative filtering (CDCF) is an evolving research topic in recommender systems. It aims to alleviate the data sparsity problem in individual domains by transferring knowledge among related domains. But it has an issue of user interest drift over time. Along with data sparsity, we should also consider the temporal domains to overcome user interest drift over time problem to predict more accurately as per the current user's interest. This paper surveys few of the pilot studies in this research line and the methods of how to add the temporal domains in the recommender systems. The paper also proposes possible extensions of using temporal domains with different contexts in current timestamp.