Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach
Learning preference models from human generated data is an important task in modern information processing systems. Its popular setting consists of simple input ratings, assigned with numerical values to indicate their relevancy with respect to a specific query. Since ratings are often specified wit...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Springer-Verlag London Ltd
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/35961 |