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Statements

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dbr:Preference_learning
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Preference learning
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Preference learning is a subfield in machine learning, which is a classification method based on observed preference information. In the view of supervised learning, preference learning trains on a set of items which have preferences toward labels or other items and predicts the preferences for all items. While the concept of preference learning has been emerged for some time in many fields such as economics, it's a relatively new topic in Artificial Intelligence research. Several workshops have been discussing preference learning and related topics in the past decade.
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dbc:Information_retrieval_techniques dbc:Machine_learning
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dbc:Information_retrieval_techniques dbr:Multi-label_classification dbr:Supervised_learning dbr:Artificial_Intelligence dbr:Regression_analysis dbr:Relevance_(information_retrieval) dbr:Classification_in_machine_learning dbr:Tie-Yan_Liu dbr:Recommender_systems dbc:Machine_learning dbr:Learning_to_rank dbr:Machine_learning dbr:Utility_function dbr:Economics
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Preference learning is a subfield in machine learning, which is a classification method based on observed preference information. In the view of supervised learning, preference learning trains on a set of items which have preferences toward labels or other items and predicts the preferences for all items. While the concept of preference learning has been emerged for some time in many fields such as economics, it's a relatively new topic in Artificial Intelligence research. Several workshops have been discussing preference learning and related topics in the past decade.
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