High Order Profile Expansion to tackle the new user problem on recommender systems.

ABSTRACT: Collaborative Filtering algorithms provide users with recommendations based on their opinions, that is, on the ratings given by the user for some items. They are the most popular and widely implemented algorithms in Recommender Systems, especially in e-commerce, considering their good results. However, when the information is extremely sparse, independently of the domain nature, they do not present such good results. In particular, it is difficult to offer recommendations which are accurate enough to a user who has just arrived to a system or who has rated few items. This is the well-known new user problem, a type of cold-start. Profile Expansion techniques had been already presented as a method to alleviate this situation. These techniques increase the size of the user profile, by obtaini

SUBMITTER: Fernandez D 

PROVIDER: S-EPMC6837286 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature