Day: 27 April 2016
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A contextualized and personalized model to predict user interest using location-based social networks
The accurate determination of user interest in terms of geographic information is essential to numerous mobile applications, such as recommender systems and mobile advertising. User interest is greatly influenced by the usage context and varies across individuals; therefore, a user interest model should incorporate these individual needs and propensities. In a recently published journal paper, […]