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Distinguish Uncategorized Applications by Utilizing Advanced FRAC Model


Savita B. Gunjal , D. Y. Patil College of engineering, ambi.


Advanced FRAC, App Category, Uncategorized Application


In day today life a smart phone becomes one of important necessity of smart life. In the fast growing application market is hard to maintain application categories. While registration, application developers have to select category for their application also provides short description and long description too. Although of selecting the right category, the approach leaves on Google play store or Apple play store. Periodically application open in another category. It has been observed that the mismatch between the description of the application and category belong to, continue to exist. It is common mechanism for application, now days there is a complaint driven process or manual checking process exist. This is time consuming and decreasing the popularity of application. Whereas the application developers struggle to get visibility for their product. To avoid this uncategorization, we introduced the advanced FRAC: (FR)amework for Application Categorization based on probabilistic modeling is proposed that utilizes app descriptions as normalized vectors in the space of words and categorize and detect uncategorized apps accurately.

Other Details

Paper ID: IJSRDV6I110018
Published in: Volume : 6, Issue : 11
Publication Date: 01/11/2019
Page(s): 1-3

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