[HTML][HTML] Economic recommender systems–a systematic review

A De Biasio, N Navarin, D Jannach - Electronic Commerce Research and …, 2024 - Elsevier
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 …

Recommender systems for sustainability: overview and research issues

A Felfernig, M Wundara, TNT Tran… - Frontiers in big …, 2023 - frontiersin.org
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 …

[HTML][HTML] A data-driven Recommendation Tool for Sustainable Utility Service Bundles

F vom Scheidt, P Staudt - Applied Energy, 2024 - Elsevier
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 …

Unifying multi-associations through hypergraph for bundle recommendation

Z Yu, J Li, L Chen, Z Zheng - Knowledge-Based Systems, 2022 - Elsevier
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 …

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 …

A Survey on Bundle Recommendation: Methods, Applications, and Challenges

M Sun, L Li, M Li, X Tao, D Zhang, P Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

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 …

Intention-oriented hierarchical bundle recommendation with preference transfer

M Tan, W Chen, W Wang, A Liu… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
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 …

Non-autoregressive Personalized Bundle Generation

W Yang, C Yang, J Li, Y Tan, X Lu, C Shi - arxiv preprint arxiv:2406.06925, 2024 - arxiv.org
The personalized bundle generation problem, which aims to create a preferred bundle for
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 …