Over the recent years, computational trust and reputation models have become an
invaluable method to improve computer-computer and human-computer interaction. As a …

Information technology and the popularity of mobile devices allow for various types of
customer data, such as purchase history and behavior patterns, to be collected. As customer …

Abstract Students attending Higher Education Institutions (HEIs) are faced with a variety of
complex decisions and procedures. To provide students with more sustained and …

With the extensive use of rating systems in the web, and their significance in decision
making process by users, the need for more accurate aggregation methods has emerged …

There is an accuracy-diversity dilemma with personalized recommendation services. Some
researchers believe that accurate recommendations might reinforce customer satisfaction …

With the speed growth of financial technology (Fintech), modern electronic marketing has
typically deployed the use of the World Wide Web. This has come with great challenges …

This thesis introduced two novel reputation models to generate accurate item reputation
scores using ratings data and the statistics of the dataset. It also presented an innovative …

Recommender systems provide personalized advice for online customers based on their
own preferences, while reputation systems generate a community advice on the quality of …

Reputation systems are employed to measure the quality of items on the Web. Incorporating
accurate reputation scores in recommender systems is useful to provide more accurate …

Recommender systems are pivotal components of modern Internet platforms and constitute
a well-established research field. By now, research has resulted in highly sophisticated …