A framework for configuring collaborative filtering-based recommendations derived from purchase data-Reference-Cited by-同舟云学术

A framework for configuring collaborative filtering-based recommendations derived from purchase data

Published:2018-02 Issue:1 Volume:265 Page:208-218
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Geuens Stijn^ORCID,Coussement Kristof,De Bock Koen W.

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference45 articles.

1. Improving aggregate recommendation diversity using ranking-based techniques;Adomavicius;IEEE Transactions on Knowledge and Data Engineering,2012

2. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions;Adomavicius;IEEE Transactions on Knowledge and Data Engineering,2005

3. Impact of data characteristics on recommender systems performance;Adomavicius;ACM Transactions on Management Information Systems,2012

4. Horting hatches an egg: a new graph-theoretic approach to collaborative filtering;Aggarwal,1999

5. Interactive home shopping: consumer, retailer, and manufacturer incentives to participate in electronic marketplaces;Alba;Journal of Marketing,1997

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