Many online marketplaces (e.g., Amazon) use recommendation systems to personalize product recommendations for each customer. In practice, many recommendation systems are “profit-based,” recommending the product that maximizes the marketplaces’ expected profit from each consumer. We study...

Online media platforms such as Spotify, YouTube Music, and NetEase Cloud Music rely on long-term user engagement for revenue generation. The primary operational level under their control is content recommendation (i.e., what content to recommend to various users), where the right recommendation...

Recommender systems (RSs) are widely utilised across industries as a tool to provide users with recommendations based on their preferences. This paper reports on an examination of the influence of trusting belief on behavioural intentions to reuse RSs, emphasising the effects of trust...

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...

Recent years have seen growing cases of data-driven tech mergers such as Google/Fitbit, in which a dominant digital platform acquires a relatively small firm possessing a large volume of consumer data. The digital platform can consolidate the consumer data with its existing data set from other...