Are there economies of scale to data in internet search? This paper is first to use real search engine query logs to empirically investigate how data drives the quality of internet search results. We find evidence that the quality of search results improve with more data on previous searches....

Are there economies of scale to data in internet search? This paper is first to use real search engine query logs to empirically investigate how data drives the quality of internet search results. We find evidence that the quality of search results improve with more data on previous searches....

Online reviews and trust cues are two core aspects of e-commerce. Based on these features, users can make informed decisions about the products and services they buy online. Although prior studies have investigated on various review characteristics, the writing style has been examined less...

Online recommendation systems recommend products with widely different prices than that of their focal products. While conventional wisdom suggests that consumers may prefer lower priced recommendations, prior literature also indicates that consumers may not accept such products if their prices...

Recommender systems have become the cornerstone of electronic marketplaces that sell products from competing sellers. Similar to traditional advertising, recommender systems can introduce consumers to new products and increase the market size which benefits sellers. The informative role of...

By the end of 2016 about 653 million people in the Asia Pacific region are expected to buy goods and services online. Out of these, a large chunk of customers will be from India. E-commerce is one of the fastest growing sectors in this region. According to the Associated Chambers of Commerce 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...