Ranking Fraud and Fake Reviews Detection for Mobile Apps
Main Article Content
Abstract
Ranking fraud in the mobile App business propose to fraud activities which have an motivation behind, raising up the Apps in the
popular list. Presently days, number of shady means are utilized all the more frequently by application developers, such extending their Apps'
business or posting imposter App assessments, to give positioning distortion. There is a restricted research for avoiding ranking fraud. This
paper gives an entire idea of positioning deception and detects the Ranking fraud recognizable system for mobile Apps. This work is gathering
into three classifications. Initially is web ranking spam detection, second is online review spam recognition and last one is mobile application
recommendation. The Web ranking spam includes to any deliberate actions which convey to select Web pages an unjustifiable favorable
relevance or significance. Review spam is intended to give unfair view of a few products in order to impact the customers' view of the products
by specifically or indirectly influeating or damaging the product's reputation. In propose system we also remove the fake reviews from the
dataset using similarity measure algorithm and then detect the web rank spam. The experimental result shows that propose system save the time
as well as memory than the existing system.
Keywords: Mobile Apps, Ranking Fraud Detection, Evidence Aggregation, Historical Ranking Records, Rating and Review.
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.