We introduce EasyEx, a recommendation-based book exchange system which identifies potential exchanges for a user solely based on the user’s item list. EasyEx is novel, since it effectively identifies books that are likely appealing to users, and optimizes book-exchange cycles to increase serendipity, instead of simply swapping books on users’ wish lists as performed by existing item-exchange algorithms. Experimental results have verified that EasyEx offers users recommended books that satisfy their interests and contributes to the itemexchange mechanism with a new design methodology. Keywords Book recommendation, item exchange, rating