The digital revolution has allowed sellers to make large assortments of products available to consumers. Recommendation systems have played a central role in this dynamic. At the core of these systems is the use of data and sophisticated algorithms to predict match values between products and...

This research was conducted to analyze and know the influence of Online Customer Reviews, Influencer Marketing, Website Quality, on Online Purchasing Decisions at Shopee's Online Marketplace. The analytical method used in this research is descriptive analysis and multiple linear regression...

The main aim of MRS is to give proper meaningful suggestion to person for specific items based on users mood and interest towards particular items, MRS has seen a boom in recent years. The two most popular recommendation algorithms: 1) Content-Based Filtering and 2) Collaborative Filtering. The...

This research was conducted to analyze and know the influence of Online Customer Reviews, Influencer Marketing, Website Quality, on Online Purchasing Decisions at Shopee's Online Marketplace. The analytical method used in this research is descriptive analysis and multiple linear regression...

Recommender systems have been blamed for polarizing user attention and consumption. This paper examines this phenomenon by leveraging a field intervention on the largest online Q&A community in China. This platform changed its social recommender system (i.e., a system specifically targeting the...

Social media recommender systems play a central role in determining what content is seen online, and what remains hidden. As a point of control for media governance, they are subject to intense controversy and, increasingly, regulation by European policymakers. A recurring theme in such efforts...

The problem of identifying shilling attacks, which are aimed at forming false ratings of objects in the recommender system, is considered. The purpose of such attacks is to include in the recommended list of items the goods specified by the attacking user. The recommendations obtained as a...

Research on recommender systems mainly focuses on product recommendations where the recommendations are primarily based on buyers’ preferences. However, user recommendation in two-sided matching markets where potential matches’ preferences may also play a role in the focal user’s...

Over the past years, businesses have had to tackle the issues caused by numerous forces from political, technological and societal environment. The changes in the global market and increasing uncertainty require us to focus on disruptive innovations and to investigate this phenomenon from...