A Novel Recommendation System for Mobile Apps Based on Detection of Ranking Frauds

Pratiksha Magar; Mrs Neelima S.Ambekar; Shweta Dhodare; Poonam Falley; Priyanka Sonawane

A Novel Recommendation System for Mobile Apps Based on Detection of Ranking Frauds

April 2017

Vol-3, Issue-2

Paper ID: 4994

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology

Keywords

Mobile Apps Recommender Systems Security and Privacy.

Abstract

Recently, Smartphone gains more and more popularity not because of its look and feel but peoples are addicted to use various applications of Smartphone. With the use of smartphone apps user also worried to reveal their identity while downloading and installing app in their mobile as many apps may require user information. For example, what’s app messenger, hike messenger etc uses contact list information from user cell phone, Google map, drive apps like uber, Ola etc uses contacts, location information of user. Mobile apps mostly varied and less understood typically for their popular functionality. Users are neglecting to install apps as security and privacy point of view. To overcome security issues there is need of such system which gives recommended app list to the end user. User recommendation is based on popularity as well as security concern.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Pratiksha Magar	Matoshri College of Engineering And Research Centre,Nashik,Eklahare
2	Mrs Neelima S.Ambekar	Matoshri College of Engineering And Research Centre,Nashik,Eklahare
3	Shweta Dhodare	Matoshri College of Engineering And Research Centre,Nashik,Eklahare
4	Poonam Falley	Matoshri College of Engineering And Research Centre,Nashik,Eklahare
5	Priyanka Sonawane	Matoshri College of Engineering And Research Centre,Nashik,Eklahare

How to Cite

Use the following formats to cite this article in your research.

APA Style

Magar, Pratiksha, S.Ambekar, Mrs Neelima, Dhodare, Shweta, Falley, Poonam, & Sonawane, Priyanka (2017). A Novel Recommendation System for Mobile Apps Based on Detection of Ranking Frauds. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 5288-5297.

MLA Style

Magar, Pratiksha, et al. "A Novel Recommendation System for Mobile Apps Based on Detection of Ranking Frauds." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 5288-5297.

IEEE Style

Pratiksha Magar, Mrs Neelima S.Ambekar, Shweta Dhodare, Poonam Falley, and Priyanka Sonawane, "A Novel Recommendation System for Mobile Apps Based on Detection of Ranking Frauds," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 5288-5297, 2017.

Vancouver Style

Magar Pratiksha, S.Ambekar Mrs Neelima, Dhodare Shweta, Falley Poonam, Sonawane Priyanka. A Novel Recommendation System for Mobile Apps Based on Detection of Ranking Frauds. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):5288-5297.

Harvard Style

Magar, Pratiksha, S.Ambekar, Mrs Neelima, Dhodare, Shweta, Falley, Poonam, & Sonawane, Priyanka (2017) 'A Novel Recommendation System for Mobile Apps Based on Detection of Ranking Frauds', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 5288-5297.

Chicago Style

Magar, Pratiksha, et al. "A Novel Recommendation System for Mobile Apps Based on Detection of Ranking Frauds." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 5288-5297.

Turabian Style

Magar, Pratiksha, et al. "A Novel Recommendation System for Mobile Apps Based on Detection of Ranking Frauds." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 5288-5297.