Customized crowds and active learning to improve classification
Traditional classification algorithms can be limited in their performance when a specific user is targeted. User preferences, e.g. in recommendation systems, constitute a challenge for learning algorithms. Additionally, in recent years user’s interaction through crowdsourcing has drawn significant i...
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Other Authors: | , , |
Format: | article |
Language: | eng |
Published: |
2013
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Subjects: | |
Online Access: | http://hdl.handle.net/10316/27286 |
Country: | Portugal |
Oai: | oai:estudogeral.sib.uc.pt:10316/27286 |