An evolutionary strategy with machine learning for learning to rank in information retrieval
Learning to Rank (LTR) is one of the problems in Information Retrieval (IR) that nowadays attracts attention from researchers. The LTR problem refers to ranking the retrieved documents for users in search engines, question answering and product recommendation systems. There is a number of LTR approa...
| Main Authors: | , |
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| Format: | Article |
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Springer
2018
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/48943/ |