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In this article, we study a multi-step interactive recommendation problem for explicit-feedback recommender systems. Different from the existing works, we propose a novel user-specific deep reinforcement learning approach to the problem. Specifically, ...
We propose a method and system for detection of traffic activities in real-time using mobile devices. We address to detect a set of traffic activities that can be applicable for both developed countries and developing countries like Vietnam where major ...
A very difficult aspect of machine learning in location-based social networks is extracting proper features that can reflect some characteristics of users and locations from the very constrained datasets. In this paper we propose a new statistical model ...