USING MACHINE-LEARNED MODELS TO THROTTLE CONTENT

Techniques for using machine-learned models to throttle content are provided. In one technique, based on multiple selection events, a distribution of relevance measures is computed, where the relevance measures are associated with the content item selection events. The relevance measures may be gene...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	YAN, Jinyun, CHATTERJEE, Shaunak, ZHOU, Runfang
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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