Shahrokhzadeh, Behrooz

Qazvin Branch, Islamic Azad University

[ 1 ] - Improving the performance of recommender systems in the face of the cold start problem by analyzing user behavior on social network

The goal of recommender system is to provide desired items for users. One of the main challenges affecting the performance of recommendation systems is the cold-start problem that is occurred as a result of lack of information about a user/item. In this article, first we will present an approach, uses social streams such as Twitter to create a behavioral profile, then user profiles are clusteri...

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