Recommending Books to be Exchanged Online in the Absence of Wish Lists Maria Soledad Pera People and Information Research Team Department of Computer Science, Boise State University, Boise, Idaho 83725, U.S.A. Email:
[email protected] Yiu-Kai Ng Computer Science Department, Brigham Young University, Provo, Utah 84602, U.S.A. Email:
[email protected] An online exchange system is a web service that allows communities to trade items without the burden of manually selecting them, which saves users’ time and efforts. Even though online book-exchange systems have been developed, their services can further be improved by reducing the workload imposed on their users. To accomplish this task, we propose a recommendation-based book exchange system, called EasyEx, which identifies potential ex- changes for a user solely based on a list of items the user is willing to part with. EasyEx is a novel and unique book-exchange system, since unlike existing online exchange systems, it does not require a user to create and maintain a wish list, which is a list of items the user would like to receive as part of the exchange. Instead, EasyEx directly suggests items to users to increase serendipity and as a result expose them to items which may be unfamiliar, but ap- pealing, to them. In identifying books to be exchanged, EasyEx employs known recommen- dation strategies, i.e., personalized mean and matrix factorization, to predict book ratings, which are treated as the degrees of appeal to a user on recommended books. Furthermore, EasyEx incorporates OptaPlanner, which solves constraint satisfaction problems efficiently, as part of the recommendation-based exchange process to create exchange cycles.