Performance Improvement of a Collaborative Recommendation System using Feature Selection
Sang-Jong Yoo, Young S. Kwon · 2006
One of the problems in developing a collaborative recommendation system is the scalability. To alleviate the scalability problem efficiently, enhancing the performance of the recommendation system, we propose a new recommendation system using feature selection. In our experiments, the proposed system using about a third of all features shows the comparable performances when compared with using all features in light of precision, recall and number of computations, as the number of users and products increases.Keywords: collaborative recommendation systems, feature selection, data mining