A Decision Tree Based Recommender System

  title={A Decision Tree Based Recommender System},
  author={Amir Gershman and Amnon Meisels and Karl-Heinz L{\"u}ke and Lior Rokach and Alon Schclar and Arnon Sturm},
A new method for decision-tree-based recommender systems is proposed. The proposed method includes two new major innovations. First, the decision tree produces lists of recommended items at its leaf nodes, instead of single items. This leads to reduced amount of search, when using the tree to compile a recommendation list for a user and consequently enables a scaling of the recommendation system. The second major contribution of the paper is the splitting method for constructing the decision… CONTINUE READING