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A Comparative Study of Trust in Mobile Banking
With the rapid growth of mobile phone usage, mobile services have influenced many industries including banking. Mobile banking has become a popular service as it offers a convenient channel for customers to perform banking...
Published by: IGI Global
A Framework for Feature Selection Using Natural Language Processing for User Profile Learning for Recommendations of Healthcare-Related Content
This paper presents the work done on recommendations of healthcare related journal papers by understanding the semantics of terms from the papers referred by users in past. In other words, user profiles based on user interest...
Published by: IGI Global
A Hybrid Between TOA and Lévy Flight Trajectory for Solving Different Cluster Problems
In data analysis applications for extraction of useful knowledge, clustering plays an important role. The major shortcoming of traditional clustering algorithms is exhibiting poor performance in solving complex data cluster...
Published by: IGI Global
Semantic Term-Term Coupling-Based Feature Enhancement of User Profiles in Recommendation Systems
Content-based recommender system is a subclass of information systems that recommends an item to the user based on its description. It suggests items such as news, documents, articles, webpages, journals, and more to users as...
Published by: IGI Global
Can Social Media Make Us More Trusting?
The usage of social networking sites requires continuous trusting actions through the sharing of personal information. According to social cognitive theory, such behavior and resulting experiences should have an impact on the...
Published by: IGI Global