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Alleviating the new user problem in collaborative filtering by exploiting personality information
(2016)The new user problem in recommender systems is still challenging, and there is not yet a unique solution that can be applied in any domain or situation. In this paper we analyze viable solutions to the new user problem in ... -
A survey of active learning in collaborative filtering recommender systems
(2016)In collaborative filtering recommender systems user's preferences are expressed as ratings for items, and each additional rating extends the knowledge of the system and affects the system's recommendation accuracy. In ...
