Putting Users in Control of their Recommendations
Author:
Affiliation:
1. University of Minnesota, Minneapolis, MN, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2792838.2800179
Reference23 articles.
1. Mining large streams of user data for personalized recommendations
2. TasteWeights
3. Learning to rank
4. Using Groups of Items for Preference Elicitation in Recommender Systems
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