A new recommender system to combine content-based and collaborative filtering systems-Reference-Cited by-同舟云学术

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A new recommender system to combine content-based and collaborative filtering systems

Published:2001-04 Issue:3 Volume:8 Page:244-252
ISSN:1741-2447
Container-title:Journal of Database Marketing & Customer Strategy Management
language:en
Short-container-title:J Database Mark Cust Strategy Manag

Author:

Kim B-D,Kim S-O

Publisher

Springer Science and Business Media LLC

Subject

Marketing,Strategy and Management

Link

http://link.springer.com/content/pdf/10.1057/palgrave.jdm.3240040.pdf

Cited by 14 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

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3. How does varying the number of personas affect user perceptions and behavior? Challenging the ‘small personas’ hypothesis!;International Journal of Human-Computer Studies;2022-12

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5. Improving Quality of Service for Radio Station Hosting: An Online Recommender System Based on Information Fusion;SSRN Electronic Journal;2014

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