Research on applying Slopeone collaborative filtering algorithms to building products selection

The building products´ types are too many to select. Nowadays, there are lots of internet-based service platforms about construction products. Selecting construction products through internet is facing with the same problem. Collaborative filtering is a frequently-used algorithm in recommend system. SlopeOne algorithm is one of collaborative filtering algorithm that uses linear regression to filter message and can recommend products in real time. This paper proposes an algorithm applying SlopeOne collaborative filtering algorithm to building products selection, which implements real-time personalized recommendation by analyzing the history data.