Matching and Grokking: Approaches to Personalized Crowdsourcing
Personalization in computing helps tailor content to a person’s individual tastes. As a result, the tasks that benefit from personalization are inherently subjective. Many of the most robust approaches to personalization rely on large sets of other people’s preferences. However, existing p...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
AAAI Press / International Joint Conferences on Artificial Intelligence
2017
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| Online Access: | http://hdl.handle.net/1721.1/112113 https://orcid.org/0000-0002-0442-691X |