Abstract:Abstract. This paper proposes a novel method for user profiling in recommender systems (RS). RS have emerged as a key tool in information filtering. But despite their importance in our lives, systems still suffer from the cold-start problem: the inability to infer preferences of a new user who has not rated enough items. Up till now, only limited research has focused on optimizing user profile acquisition processes. This paper addresses that gap, employing a gamified personalityacquisition system based on the … Show more
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