research-article

Constraint-based recommender systems: technologies and research issues

Authors:

R. BurkeAuthors Info & Claims

ICEC '08: Proceedings of the 10th international conference on Electronic commerce

Article No.: 3, Pages 1 - 10

https://doi.org/10.1145/1409540.1409544

Published: 19 August 2008 Publication History

Abstract

Recommender systems support users in identifying products and services in e-commerce and other information-rich environments. Recommendation problems have a long history as a successful AI application area, with substantial interest beginning in the mid-1990s, and increasing with the subsequent rise of e-commerce. Recommender systems research long focused on recommending only simple products such as movies or books; constraint-based recommendation now receives increasing attention due to the capability of recommending complex products and services. In this paper, we first introduce a taxonomy of recommendation knowledge sources and algorithmic approaches. We then go on to discuss the most prevalent techniques of constraint-based recommendation and outline open research issues.

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Cited By

Hornik JOfir CRachamim MGraguer S(2024)Fog Computing-Based Smart Consumer Recommender SystemsJournal of Theoretical and Applied Electronic Commerce Research10.3390/jtaer1901003219:1(597-614)Online publication date: 11-Mar-2024
https://doi.org/10.3390/jtaer19010032
Tran TPolat Erdeniz SFelfernig ALubos SEl Mansi MLe V(2024)Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender SystemsProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3691708(1108-1112)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3640457.3691708
Pham DSeo YPhan H(2024)Recommendation Systems for the Healthcare Domain: A Comprehensive Survey of Evaluation DatasetsVietnam Journal of Computer Science10.1142/S2196888824500167(1-43)Online publication date: 31-Aug-2024
https://doi.org/10.1142/S2196888824500167
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Index Terms

Constraint-based recommender systems: technologies and research issues
1. Software and its engineering
  1. Software notations and tools
    1. Context specific languages

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cover image ACM Other conferences

ICEC '08: Proceedings of the 10th international conference on Electronic commerce

August 2008

355 pages

ISBN:9781605580753

DOI:10.1145/1409540

Conference Chairs:
Dieter Fensel
University of Innsbruck, Austria
,
Hannes Werthner
Technical University of Vienna, Vienna, Austria

Copyright © 2008 ACM.

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Published: 19 August 2008

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ICEC08

ICEC08: 10th International Conference on E-Commerce

August 19 - 22, 2008

Innsbruck, Austria

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Cited By

Hornik JOfir CRachamim MGraguer S(2024)Fog Computing-Based Smart Consumer Recommender SystemsJournal of Theoretical and Applied Electronic Commerce Research10.3390/jtaer1901003219:1(597-614)Online publication date: 11-Mar-2024
https://doi.org/10.3390/jtaer19010032
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https://dl.acm.org/doi/10.1145/3640457.3691708
Pham DSeo YPhan H(2024)Recommendation Systems for the Healthcare Domain: A Comprehensive Survey of Evaluation DatasetsVietnam Journal of Computer Science10.1142/S2196888824500167(1-43)Online publication date: 31-Aug-2024
https://doi.org/10.1142/S2196888824500167
Tiribelli SCalvaresi D(2024)Rethinking Health Recommender Systems for Active Aging: An Autonomy-Based Ethical AnalysisScience and Engineering Ethics10.1007/s11948-024-00479-z30:3Online publication date: 27-May-2024
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