Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.3

Submission
Last date
28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  A Novel Recommendation System for Mobile Apps Based on Detection of Ranking Frauds
PaperId: :  4994
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4994
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pratiksha MagarMatoshri College of Engineering And Research Centre,Nashik,Eklahare
Mrs Neelima S.AmbekarMatoshri College of Engineering And Research Centre,Nashik,Eklahare
Shweta DhodareMatoshri College of Engineering And Research Centre,Nashik,Eklahare
Poonam FalleyMatoshri College of Engineering And Research Centre,Nashik,Eklahare
Priyanka SonawaneMatoshri College of Engineering And Research Centre,Nashik,Eklahare

Abstract

Information Technology
Mobile Apps,Recommender Systems,Security and Privacy.
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.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE 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 Volume 3 Issue 2 2017 Page 5288-5297
MLA 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 3.2(2017) : 5288-5297.
APA Pratiksha Magar, Mrs Neelima S.Ambekar, Shweta Dhodare, Poonam Falley, & Priyanka Sonawane. (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.
Chicago 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 3, no. 2 (2017) : 5288-5297.
Oxford 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, 2017, p. 5288-5297. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/A_Novel_Recommendation_System_for_Mobile_Apps_Based_on_Detection_of_Ranking_Frauds_ijariie4994.pdf (Accessed : 06 May 2017).
Harvard Pratiksha Magar, Mrs Neelima S.Ambekar, Shweta Dhodare, Poonam Falley, and Priyanka Sonawane. (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. 5288-5297IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/A_Novel_Recommendation_System_for_Mobile_Apps_Based_on_Detection_of_Ranking_Frauds_ijariie4994.pdf (Accessed : 06 May 2017)
IEEE 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, Mar-App 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/A_Novel_Recommendation_System_for_Mobile_Apps_Based_on_Detection_of_Ranking_Frauds_ijariie4994.pdf [Accessed : 06 May 2017].
Turabian 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 [Online]. volume 3 number 2 (06 May 2017).
Vancouver 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 [Internet]. 2017 [Cited : 06 May 2017]; 3(2) : 5288-5297. Available from: http://ijariie.com/AdminUploadPdf/A_Novel_Recommendation_System_for_Mobile_Apps_Based_on_Detection_of_Ranking_Frauds_ijariie4994.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/6/2017 10:54:24 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
The Shift to Electronic Payment Methods in Commercial Banks: Benefits and ChallengesDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTSInformation TechnologyBHUKYA RAJAKUMAR Download
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
Enhancing Forensic Data Protection: A Robust Storage Framework with Verified Access and Intelligent Key-Based EncryptionComputer Science EngineeringN ANITHA Download
PREDICTING NEONATAL CARDIAC ARREST IN THE CICU: A STATISTICAL MACHINE LEARNING APPROACH FOR EARLY INTERVENTIONINFORMATION TECHNOLOGYD Viswasahithya Download
AI DRIVEN CROP DISEASE PREDICTION BTech Information TechnologyRhishub Kamalakar Gawade Download
Real-time driver's drowsiness detection using MlInformation Technology and MLKiran parasram shelke Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.