How Much Should a Robot Trust the User Feedback? Analyzing the Impact of Verbal Answers in Active Learning.
Víctor González-PachecoMaría MalfazJosé Carlos CastilloÁlvaro Castro GonzálezFernando Alonso-MartínMiguel A. SalichsPublished in: ICSR (2016)
Keyphrases
- user feedback
- active learning
- relevance feedback
- user interaction
- mobile robot
- trust model
- user involvement
- feedback information
- user preferences
- implicit feedback
- amazon mechanical turk
- recommendation systems
- user profiles
- user actions
- helping users
- similarity measure
- retrieval process
- retrieval model
- personalized recommendation
- information retrieval
- information retrieval systems
- supervised learning
- semi supervised
- learning algorithm