Fake Profile Detection from the Social Dataset for Movie Promotion

Abstract

Product promotion for increasing the sale of the product is critical in today’s competitive environment. Online medium of promotion is vital in this regard. Product promotion especially in the field of movies goes through fake promotion issues. Movies are promoted by the entities through fake rating. This work primary focuses on the detection of fake profiles. To accomplish this collaborative filtering with the pre-processing mechanism is used. Demonstration of work will be done through movie lense dataset. The nature of proposed approach is modular; this means entire work will be divided into phase. Data acquisition is performed in the first phase. After collecting the dataset, pre-processing mechanism is applied by using nominal conversion. Collaborative filtering is applied along with clustering to determine the fake promotion of within movie lense dataset. Nominal conversion is also required since recommender system may not able to handle string values. By the classification accuracy we can show the result of the proposed work.