Adapting a search classifier based on user queries

Adapting a search classifier based on user queries

Multiple different user queries are applied to an automated classifier to identify multiple tasks. For each query, a task is provided to a user. A task selected by the user is logged and a mapping between each query and each selected task is generated. Fewer than all of the mappings are used to trai...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: GOLDBERG MATTHEW A, SEIBER SCOTT E, COOK DANIEL B, OFTEDAL CHAD S
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Multiple different user queries are applied to an automated classifier to identify multiple tasks. For each query, a task is provided to a user. A task selected by the user is logged and a mapping between each query and each selected task is generated. Fewer than all of the mappings are used to train a new classifier, wherein selecting fewer than all of the mappings to train the new classifier comprises selecting mappings based on when the mappings were generated. The new classifier is stored on a computer-readable storage medium.