Survey Kernel Optimized Regression Model for Product Recommendation IJTSRD
The boundaries between e-commerce and social networks have become increasingly blurred. Many e-commerce websites support social login mechanisms, and users can use their social network identities (such as Facebook or Twitter accounts) to log in on websites. Users can also post new purchased products on Weibo and link to e-commerce product pages. It proposes a […]
Survey: Optimal Travel Route Discovery based on Topic Interest and Image Attributes IJTSRD
With the popularity of social media such as Facebook and Flicker, users can easily share their registration records and photos during their travels. When planning a trip, users always have a particular preference for their trip. The system does not restrict users to limited query options (such as location, activity, or time period), but rather […]
Survey on Users Ranking Pattern based Trust Model Regularization in Product Recommendation IJTSRD
It is recommended to trust SVD, a trust-based matrix decomposition technique to provide advice. Trust SVD is integrated into the recommendation model to reduce data sparsity and cold start issues and their recommended performance degradation. The proposed system is a new framework for social trust data from four real-world datasets, which indicates that not only […]
Survey on Kernel Optimization based Enhanced Preference Learning for Online Movie Recommendation IJTSRD
A social recommendation system has attracted a lot of attention recently in research communities. Traditional social recommendation algorithms are often based on batch machine learning methods that suffer from several critical limitations, for example, a cost of training is extremely expensive in each time new user ratings arrive, unable to capture the change of the […]
Search Rank Fraud and Malware Detection in Google Play IJTSRD
The Google Play- the foremost widespread automation app market where rank abuse and malware search has increased rapidly. In this paper, we have a tendency to introduce Fairplay, a unique system that discovers and traces malware left behind by fraudsters. The proposed system’s aim is to discover malware and apps subjected to search rank fraud. […]