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Food Dishes Recommendation System Based on Mobile Context-Aware Services


Imran Shaikh, Manitha Samarsen, Punita Vyas
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Context information, such as user location, age, and user profile, Gender, Comments has been popularly applied to analyze user behaviour. In this paper, we develop a Food Dishes recommendation system based on mobile context aware services to provide customized information for users. We analyze the service satisfaction ratings of the users to recommend favored Food Dishes for them. With mobile context awareness, the proposed framework can substantially enhance the capacity to satisfy the user demands for Food Dishes recommendations.

Imran Shaikh, Manitha Samarsen, Punita Vyas

Android, Big Data, HDFS, Hadoop, Mapreduce, Smart Phones.

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Publication Details

Published in : Volume 2 | Issue 3 | May-June - 2016
Date of Publication Print ISSN Online ISSN
2016-06-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
465-468 IJSRSET1623143   Technoscience Academy

Cite This Article

Imran Shaikh, Manitha Samarsen, Punita Vyas, "Food Dishes Recommendation System Based on Mobile Context-Aware Services", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.465-468, May-June-2016.
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