Learning evolving user’s behaviors on location-based social networks
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DOI: 10.1007/s10707-020-00400-3
Abstract: With the popularity of smart phones, users’ activities on location-based social networks (LBSNs) evolve faster than traditional social networks. Existing models focus on modeling users’ long-term preferences, leveraging social collaborative filtering to enhance prediction performance.… read more here.
Keywords: location; geo aware; social networks; location based ... See more keywords
Predictive Scheduling Framework for Electric Vehicles With Uncertainties of User Behaviors
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DOI: 10.1109/jiot.2016.2617314
Abstract: The randomness of user behaviors plays a significant role in electric vehicle (EV) scheduling problems, especially when the power supply for EV supply equipment (EVSE) is limited. Existing EV scheduling methods do not consider this… read more here.
Keywords: kernel based; framework electric; framework; predictive scheduling ... See more keywords
Use of an mHealth Ketogenic Diet App Intervention and User Behaviors Associated With Weight Loss in Adults With Overweight or Obesity: Secondary Analysis of a Randomized Clinical Trial
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DOI: 10.2196/33940
Abstract: Background Low-carbohydrate ketogenic diets are a viable method to lose weight that have regained popularity in recent years. Technology in the form of mobile health (mHealth) apps allows for scalable and remote delivery of such… read more here.
Keywords: mhealth; user behaviors; app; loss ... See more keywords