Recommending books to be exchanged online in the absence of wish lists. Pera, M. S. & Ng, Y. Journal of the Association for Information Science and Technology, November, 2017. ![Recommending books to be exchanged online in the absence of wish lists [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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 effort. 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 exchanges 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 because 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 appealing, to them. In identifying books to be exchanged, EasyEx employs known recommendation strategies, that is, 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. Experimental results have verified that EasyEx offers users recommended books that satisfy the users' interests and contributes to the item-exchange mechanism with a new design methodology.
@article{pera_recommending_2017,
title = {Recommending books to be exchanged online in the absence of wish lists},
issn = {2330-1643},
url = {http://dx.doi.org/10.1002/asi.23978},
doi = {10.1002/asi.23978},
abstract = {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 effort. 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 exchanges 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
because 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 appealing, to them. In
identifying books to be exchanged, EasyEx employs known recommendation
strategies, that is, 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.
Experimental results have verified that EasyEx offers users recommended
books that satisfy the users' interests and contributes to the
item-exchange mechanism with a new design methodology.},
journal = {Journal of the Association for Information Science and Technology},
author = {Pera, Maria Soledad and Ng, Yiu-Kai},
month = nov,
year = {2017},
}
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