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Content recommendation based on efficacy models

An efficiency and model technology, applied in the field of content recommendation, can solve the problems of users distracting driving

Inactive Publication Date: 2016-06-29
TOYOTA JIDOSHA KK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, existing content recommendation systems often recommend content items to users based on what the user wants, but cannot recommend content items based on what the user needs in a specific context.
For example, existing content recommendation systems may provide audio items to users in situations where the recommendation of audio items is ineffective and distracts the user from driving.

Method used

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  • Content recommendation based on efficacy models
  • Content recommendation based on efficacy models
  • Content recommendation based on efficacy models

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] (Overview)

[0033] figure 1 Illustrating a block diagram of a system 100 for providing recommended items to users based on a performance model in accordance with some embodiments. The illustrated system 100 includes a server 101 , a client device 115 , a mobile computing device 135 , a social network server 130 , and a data server 120 . The various entities of system 100 are communicatively coupled via network 105 .

[0034] Network 105 may be a conventional type of wired or wireless network, and may have a number of different configurations, including star, token ring, or other configurations. Additionally, network 105 may include a local area network (LAN), a wide area network (WAN) (eg, the Internet), and / or other interconnected data paths over which multiple devices may communicate. In some embodiments, network 105 may be a peer-to-peer network. Network 105 may also be coupled to or include various portions of telecommunications networks for transmitting data u...

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PUM

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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.

Description

technical field [0001] This instruction manual refers to content recommendation. In particular, this specification relates to a system for providing recommended items to users according to an efficacy model. Background technique [0002] While driving a vehicle, a user may request content items from the content recommendation system. For example, a user may request that a podcast be played in an in-vehicle infotainment system. However, existing content recommendation systems often recommend content items to users based on what they want, but cannot recommend content items based on what users need in a specific context. For example, existing content recommendation systems may provide audio items to users in situations where the recommendation of audio items is ineffective and distracts the user from driving. Contents of the invention [0003] According to one innovative aspect of the subject matter described in this disclosure, a system for providing recommended items to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0251G06Q30/0631G06Q50/01G06F16/24578G06F16/29
Inventor R·帕鲁德卡尔尾口健太郎R·米莱恩广木大介
Owner TOYOTA JIDOSHA KK
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