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[HTML][HTML] Economic recommender systems–a systematic review
Many of today's online services provide personalized recommendations to their users. Such
recommendations are typically designed to serve certain user needs, eg, to quickly find …
recommendations are typically designed to serve certain user needs, eg, to quickly find …
Recommender systems for sustainability: overview and research issues
Sustainability development goals (SDGs) are regarded as a universal call to action with the
overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity …
overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity …
[HTML][HTML] A data-driven Recommendation Tool for Sustainable Utility Service Bundles
Managers in electric utilities face the disruption of their conventional business model of
selling electricity per kilowatt-hour for invariant prices. However, the forthcoming widespread …
selling electricity per kilowatt-hour for invariant prices. However, the forthcoming widespread …
Unifying multi-associations through hypergraph for bundle recommendation
Bundle recommendation, which seeks to recommend a group of items to users, is widely
used in real-world applications. Despite the success of current bundle recommendation …
used in real-world applications. Despite the success of current bundle recommendation …
Multi-view graph contrastive representation learning for bundle recommendation
P Zhang, Z Niu, R Ma, F Zhang - Information Processing & Management, 2025 - Elsevier
Bundle recommendation can recommend a collection of associated items that can be
consumed together to a user rather than recommending these items separately, making it …
consumed together to a user rather than recommending these items separately, making it …
A Survey on Bundle Recommendation: Methods, Applications, and Challenges
In recent years, bundle recommendation systems have gained significant attention in both
academia and industry due to their ability to enhance user experience and increase sales by …
academia and industry due to their ability to enhance user experience and increase sales by …
DHCL-BR: Dual Hypergraph Contrastive Learning for Bundle Recommendation
P Zhang, Z Niu, R Ma, F Zhang - The Computer Journal, 2024 - academic.oup.com
As an extension of conventional top-K item recommendation solution, bundle
recommendation has aroused increasingly attention. However, because of the extreme …
recommendation has aroused increasingly attention. However, because of the extreme …
Intention-oriented hierarchical bundle recommendation with preference transfer
Bundle recommendation offers promotions of bundled items instead of a single one, which is
a common strategy for sales revenue increase and latent customer mining. Due to the …
a common strategy for sales revenue increase and latent customer mining. Due to the …
Non-autoregressive Personalized Bundle Generation
The personalized bundle generation problem, which aims to create a preferred bundle for
user from numerous candidate items, receives increasing attention in recommendation …
user from numerous candidate items, receives increasing attention in recommendation …
Sistemas de recomendación flexibles dependientes de usuario
B Ortiz Viso - 2024 - digibug.ugr.es
Recommender systems are ubiquitous in today's technological landscape, integral to
various services. Their prevalence is driven by the massive flow of information on the …
various services. Their prevalence is driven by the massive flow of information on the …