Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

Recommender System for Books in University Library with Implicit Data

Authors
Guang Liu, Xu Zhao
Corresponding Author
Guang Liu
Available Online May 2018.
DOI
10.2991/ncce-18.2018.28How to use a DOI?
Keywords
Implicit Feedback, Explicit Representation, SVD++, Model-based Collaborative Filtering, Book Recommender Systems.
Abstract

Recommender system is a very important tool to help customers make choices more easily in a large variety of offered products. However, it is difficult to make directly use of the recommender system to provide suggestion for the traditional books in a library because of the shortage of the explicit feedback, like readers’ rating, reviews etc. We propose a model that transfers the implicit data of readers borrow history to explicit data and apply the SVD++ algorithm in the recommender system.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
10.2991/ncce-18.2018.28
ISSN
1951-6851
DOI
10.2991/ncce-18.2018.28How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Guang Liu
AU  - Xu Zhao
PY  - 2018/05
DA  - 2018/05
TI  - Recommender System for Books in University Library with Implicit Data
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 164
EP  - 168
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.28
DO  - 10.2991/ncce-18.2018.28
ID  - Liu2018/05
ER  -