We propose a method for induction of compact optimal recommendation policies based on discovery of frequent itemsets in a purchase database, followed by the application of standar...
Abstract. Many researchers have focused their efforts on developing collaborative recommender systems. It has been proved that the use of collaboration in such systems improves per...
When you write papers, how many times do you want to make some citations at a place but you are not sure which papers to cite? Do you wish to have a recommendation system which ca...
Qi He, Jian Pei, Daniel Kifer, Prasenjit Mitra, C....
This paper presents a user recommendation system that recommends to a user new friends having similar interests. We automatically discover users’ interests using Latent Dirichle...
In this work we propose a comparative study of the effects of a continuous model update on the effectiveness of wellknown query recommendation algorithms. In their original formul...
Daniele Broccolo, Franco Maria Nardini, Raffaele P...