Recommender systems play a significant role in reducing information overload for people visiting online sites, but their accuracy could be improved by using data from online social networks and electronic communication tools

Online consumer reviews play an important role in the decision to purchase services online, mainly due to the rich information source they provide to consumers in terms of evaluating “experience”-type products and services that can be booked using the Internet, with online travel services...

Online Product Recommendation (OPR) systems offered by Ecommerce website are crucial in providing real-time productrecommendations based on customers’ past behavior and references,contributing a significant impact on increasing purchasers’ satisfaction,boosting websites’ revenue through...

We seek to develop a recommender system that takes into account supply chain constraints regarding the availability of a product while nudging the customers to purchase it. The motivation to study this problem was because a firm faced availability constraints for one of its products but the...

We study the efficient allocation of buyers in the presence of recommender systems. A recommender system affects the market in two ways: (i) it creates value by reducing product uncertainty for the customers and hence (ii) its recommendations can be offered as add-ons, which generates...

Although personalized recommender systems are vital for many online platforms, they lead to controversial societal issues such as privacy breaches. In response to such concerns, there is a clear regulatory trend in calling for stringent privacy protection mechanisms implanted in such algorithms....