My Account | Careers | Downloads | Blog

PROJECT TITLE :

App Miscategorization Detection: A Case Study on Google Play - 2017

ABSTRACT:

An ongoing challenge within the rapidly evolving app market ecosystem is to take care of the integrity of app categories. At the time of registration, app developers have to pick out, what they believe, is the foremost appropriate category for his or her apps. Besides the inherent ambiguity of selecting the right class, the approach leaves open the possibility of misuse and potential gaming by the registrant. Periodically, the app store will refine the list of classes obtainable and probably reassign the apps. But, it has been observed that the mismatch between the outline of the app and also the class it belongs to, continues to persist. Although some common mechanisms (e.g., a grievance-driven or manual checking) exist, they limit the response time to detect miscategorized apps and still open the challenge on categorization. We introduce FRAC+: (FR)amework for (A)pp (C)ategorization. FRAC+ has the following salient features: (i) it's based mostly on a data-driven topic model and automatically suggests the categories appropriate for the app store, and (ii) it can detect miscategorizated apps. Extensive experiments attest to the performance of FRAC+. Experiments on GOOGLE Play shows that FRAC+'s topics are more aligned with GOOGLE's new categories and zero.35-1.ten percent game apps are detected to be miscategorized.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : App Popularity Prediction by Incorporating Time-Varying Hierarchical Interactions ABSTRACT: The task of predicting an app's future popularity based on its current behaviors is an important part of the process
PROJECT TITLE : A smartphone app framework for segmented cancer care coordination - 2016 ABSTRACT: Advanced cancer care needs careful coordination, however resource limitations lead to lack of effective coordinated follow-up
PROJECT TITLE : Video Dissemination over Hybrid Cellular and Ad Hoc Networks - 2014 ABSTRACT: We study the problem of disseminating videos to mobile users by using a hybrid cellular and ad hoc network. In particular, we formulate
PROJECT TITLE : Secure and Efficient Data Transmission for Cluster-Based Wireless Sensor Networks - 2014 ABSTRACT: Secure data transmission is a critical issue for wireless sensor networks (WSNs). Clustering is an effective
PROJECT TITLE : Network Resource Allocation for Users With Multiple Connections Fairness and Stability - 2014 ABSTRACT: This paper studies network resource allocation between users that manage multiple connections, possibly

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry