Research of Collaboration Filtering Recommendation System Based on Ant Algorithm
Ma Liang · Computer Technology and Development · 2011
Collaboration filtering recommendation algorithm is that generate the recommendation list according to basic user' view.Now imitated ant foraging theory,the users are regarded as different attributes ants,clustering center is regarded as the food source that the ants are looking for,proposed to cluster user based ant algorithm,for improving the query speed of the nearest neighbor in the collaborative filtering recommendation system,reducing the search spending,and avoiding the effects of initial clustering centers and clustering numbers in the use of K-Means clustering method.Finally,the experiment verify that user clustering through ant algorithm is effective,and solve the problem of new user not recommended,enhance the precision of collaboration filtering recommendation algorithm.