Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine.
Kanta KanedaShunya NagashimaRyosuke KorekataMotonari KambaraKomei SugiuraPublished in: IEEE Robotics Autom. Lett. (2024)
Keyphrases
- learning to rank
- physical world
- ubiquitous computing
- everyday objects
- search engine
- information retrieval
- ranking functions
- ambient intelligence
- retrieval systems
- context aware
- web search engines
- loss function
- evaluation measures
- document retrieval
- ranking svm
- web search
- virtual world
- direct optimization
- supervised learning
- human activities
- user queries
- information retrieval systems
- collaborative filtering
- learning to rank algorithms
- keywords
- intelligent systems
- computational power
- communication technologies
- balancing exploration and exploitation