Abstract:Unlike traditional recommendation systems that rely only on the user's preferences, context-aware recommendation systems (CARS) consider the user's contextual information such as (time, weather, and geographical location). These data are used to create more intelligent and effective recommendation systems. Time is one of the most important and influential factors that affect users' preferences and purchasing behavior. Thus, in this paper, time-aware recommendation systems are investigated using two common meth… Show more
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