Exploring Customer Price Preference and Product Profit Role in Recommender Systems-Reference-Cited by-同舟云学术

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Exploring Customer Price Preference and Product Profit Role in Recommender Systems

Published:2021 Issue: Volume: Page:1-1
ISSN:1541-1672
Container-title:IEEE Intelligent Systems
language:
Short-container-title:IEEE Intell. Syst.

Author:

Kompan Michal,Gaspar Peter,Macina Jakub,Cimerman Matus,Bielikova Maria

Funder

European Cooperation in Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/9670/5196652/09466459.pdf?arnumber=9466459

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Model-based approaches to profit-aware recommendation;Expert Systems with Applications;2024-09

2. Economic recommender systems – a systematic review;Electronic Commerce Research and Applications;2024-01

3. KGTN: Knowledge Graph Transformer Network for explainable multi-category item recommendation;Knowledge-Based Systems;2023-10

4. Designing Profit-Maximizing Recommender Systems in E-Commerce: An Experimental Analysis.;SSRN Electronic Journal;2023

5. Explainable Multi-type Item Recommendation System Based on Knowledge Graph;Knowledge Science, Engineering and Management;2023

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