Revisiting recommendations: from customers to manufacturers
Recommender systems exploit user feedback over items they have experienced for making recommendations of other items that are most likely to appeal to them. However, users and items are but two of the three types of entities participating in this ecosystem of recommender systems. The third type of e...
Main Author: | Agarwal, Shailendra |
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Language: | English |
Published: |
University of British Columbia
2013
|
Online Access: | http://hdl.handle.net/2429/45116 |
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