IEICE TRANSACTIONS on Information
Continuous Optimization for Item Selection in Collaborative Filtering
Summary :
A method is presented for selecting items asked for new users to input their preference rates on those items in recommendation systems based on the collaborative filtering. Optimal item selection is formulated by an integer programming problem and we solve it by using a kind of the Hopfield-network-like scheme for interior point methods.
- Publication
- IEICE TRANSACTIONS on Information Vol.E87-D No.7 pp.1987-1988
- Publication Date
- 2004/07/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Biocybernetics, Neurocomputing
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Kohei INOUE, Kiichi URAHAMA, "Continuous Optimization for Item Selection in Collaborative Filtering" in IEICE TRANSACTIONS on Information,
vol. E87-D, no. 7, pp. 1987-1988, July 2004, doi: .
Abstract: A method is presented for selecting items asked for new users to input their preference rates on those items in recommendation systems based on the collaborative filtering. Optimal item selection is formulated by an integer programming problem and we solve it by using a kind of the Hopfield-network-like scheme for interior point methods.
URL: https://global.ieice.org/en_transactions/information/10.1587/e87-d_7_1987/_p
Copy
@ARTICLE{e87-d_7_1987,
author={Kohei INOUE, Kiichi URAHAMA, },
journal={IEICE TRANSACTIONS on Information},
title={Continuous Optimization for Item Selection in Collaborative Filtering},
year={2004},
volume={E87-D},
number={7},
pages={1987-1988},
abstract={A method is presented for selecting items asked for new users to input their preference rates on those items in recommendation systems based on the collaborative filtering. Optimal item selection is formulated by an integer programming problem and we solve it by using a kind of the Hopfield-network-like scheme for interior point methods.},
keywords={},
doi={},
ISSN={},
month={July},}
Copy
TY - JOUR
TI - Continuous Optimization for Item Selection in Collaborative Filtering
T2 - IEICE TRANSACTIONS on Information
SP - 1987
EP - 1988
AU - Kohei INOUE
AU - Kiichi URAHAMA
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2004
AB - A method is presented for selecting items asked for new users to input their preference rates on those items in recommendation systems based on the collaborative filtering. Optimal item selection is formulated by an integer programming problem and we solve it by using a kind of the Hopfield-network-like scheme for interior point methods.
ER -
English
