Context Aware Venue Suggestions System on Cloud Based Architecture

Computer Engineering

Nowadays, recommendation systems have been significant evolution in the field of knowledge engineering. There are many existing recommendation systems that are based on collaborative filtering approaches that make them easy to implement. Performance of the existing collaborative filtering-based recommendation system suffers due to cold start, data sparseness, and scalability. Recommendation problem is characterized by the presence of many conflicting objectives or decision variables, such as user preferences and venue closeness. This paper includes Context Aware Venue Suggestions System for cloud based architecture in mobile depending on their moods. The MobiContext utilizes multi-objective optimization techniques to generate personalized recommendations. This system mainly depends upon the status updated by user. Status helps to find location and with the help of location we can trace places. In this system user can update his status, according to that status system can find the location of that user and system can also trace the places nearby that location.

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