Invention Grant
- Patent Title: Content recommendation based on efficacy models
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Application No.: US14085452Application Date: 2013-11-20
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Publication No.: US09916362B2Publication Date: 2018-03-13
- Inventor: Rahul Parundekar , Kentaro Oguchi , Roger Melen , Daisuke Hiroki
- Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F17/30 ; G06Q50/00 ; G06Q30/06 ; G06Q30/02

Abstract:
The disclosure includes a system and method for providing recommendation items to users. The system includes a processor and a memory storing instructions that when executed cause the system to: receive identification input data associated with a user; identify the user using the identification input data; receive sensor data; determine a current situation associated with the user from one or more predefined situations described by predefined situation data and associated parameters; receive data describing a set of candidate items; generate a set of efficacy scores for the set of candidate items; eliminate one or more candidate items from the set of candidate items to obtain one or more remaining candidate items; rank the one or more remaining candidate items based on one or more associated efficacy scores; and provide one or more recommendation items to the user from the one or more ranked remaining candidate items.
Public/Granted literature
- US09792331B2 Content recommendation based on efficacy models Public/Granted day:2017-10-17
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