WO2017124382A1 - Method for automatically recommending resources by vehicle-mounted computer on basis of vehicle model, and recommendation system - Google Patents
Method for automatically recommending resources by vehicle-mounted computer on basis of vehicle model, and recommendation system Download PDFInfo
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- WO2017124382A1 WO2017124382A1 PCT/CN2016/071639 CN2016071639W WO2017124382A1 WO 2017124382 A1 WO2017124382 A1 WO 2017124382A1 CN 2016071639 W CN2016071639 W CN 2016071639W WO 2017124382 A1 WO2017124382 A1 WO 2017124382A1
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
Definitions
- the invention belongs to the field of automobiles, and in particular relates to a method and a recommendation system for an on-board computer to automatically recommend resources according to a model.
- the Internet has changed the carrier of music.
- the carrier of music is vinyl, cassette, CD, MP3. .
- the carrier of music became a mobile APP and video website for free Internet audio-visual, downloading resource websites and platforms, clients and music resources.
- the implementation of the present invention is inconvenient for the current vehicle-mounted device to switch resources, and the resource cannot be played according to the user's preference.
- By recording the label corresponding to the resource counting the label of the number of times the user drives the vehicle corresponding to the number of repetitions of the listening resource and uploading the cloud, and setting the label with the most repetitions as the user-friendly resource type, and recommending the resource when other users drive the same type of vehicle, thereby
- the on-board computer can be customized according to personal preferences, reducing manual operations and making the on-board computer more user-friendly. .
- a method for an on-board computer to automatically recommend resources according to a vehicle model comprising the following steps:
- the label with the most repeated number of user listening resources of the same model is set as the user preference
- An embodiment of the present invention further provides a recommendation system, where the recommendation system includes:
- Recording unit statistical unit, setting unit, recommendation unit, wherein:
- a recording unit located locally, for recording a label corresponding to the resource, and recording a list of resources that have been listened to;
- the statistical unit is located at a local location, and the input end thereof is connected to the output end of the recording unit, and is used for recording the user model and the number of resource tags that are listened to and uploading the cloud when the user drives the vehicle;
- the setting unit is located in the cloud, and the input end thereof is connected to the output end of the statistical unit, and is configured to set, in the cloud, a label with the most repeated number of times the user listens to the same model to the user preference;
- a recommendation unit located in the cloud, having an input end connected to the output unit of the setting unit, for recommending, when another user drives the same type of vehicle, a label having the user's preference in the same model vehicle, and A resource that another user has not heard.
- the invention records the label corresponding to the number of repetitions of the listening resource by the user's driving vehicle model by uploading the label corresponding to the resource, and uploads the label to the cloud, and sets the label with the most repeated number as the user favorite resource type, and recommends the resource when other users drive the same type of vehicle. Therefore, the on-board computer can be customized according to personal preference, which reduces the manual operation and makes the on-board computer more humanized.
- FIG. 1 is a schematic flow chart of a method for automatically recommending resources according to a vehicle type according to an embodiment of the present invention
- FIG. 2 is a schematic structural diagram of a recommendation system according to an embodiment of the present invention.
- FIG. 1 is a schematic flow chart of a method for automatically recommending resources according to a vehicle model by an on-board computer according to an embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown.
- step S100 the label corresponding to the resource is recorded, and the list of resources that have been listened to is recorded.
- step S101 when the user drives, the user's model number and the number of resource tags that are listened to are recorded and uploaded to the cloud.
- step S102 the tag with the most repeated number of times the user listens to the same model is set to the user preference in the cloud.
- step S103 In the case where another user drives the same type of vehicle, the user is recommended to have a tag set as the user's preference in the same model vehicle, and the other user has not heard the resource.
- the invention records the label corresponding to the number of repetitions of the listening resource by the user's driving vehicle model by uploading the label corresponding to the resource, and uploads the label to the cloud, and sets the label with the most repeated number as the user favorite resource type, and recommends the resource when other users drive the same type of vehicle. Therefore, the on-board computer can be customized according to personal preference, which reduces the manual operation and makes the on-board computer more humanized.
- FIG. 2 is a schematic structural diagram of a recommendation system according to an embodiment of the present invention, where the recommendation system includes:
- the recording unit 21 is located locally, and is used for recording a label corresponding to the resource, and recording a list of resources that have been listened to;
- the statistical unit 22 is located at the local, its input end and the recording unit 21
- the output terminal is connected, when the user drives, the number of times the user model and the resource tag that is being listened to is recorded and uploaded to the cloud;
- the setting unit 23 is located in the cloud, and its input end and the statistical unit 22 The output is connected, and is used to set the label of the same model user to listen to the most repeated times in the cloud as the user preference;
- the recommendation unit 24 is located in the cloud, and its input terminal and the setting unit 23 The output is connected for recommending to the user a resource having a tag set to the user's preference in the same model vehicle and not being heard by the other user when the other user drives the same type of vehicle.
- the working principle is: the user records the label corresponding to the resource in the recording unit 21, records the list of resources that have been listened to, and the statistical unit 22 When the user drives, the user's model number and the number of resource tags that are listened to are recorded and uploaded to the cloud, and the setting unit 23 sets the label with the most repeated number of times the user listens to the same model in the cloud as the user preference, and the recommendation unit 24 When another user drives a vehicle of the same model, a resource having a tag set as a user preference in the same model vehicle and not heard by the other user is recommended to the user.
- the invention records the label corresponding to the number of repetitions of the listening resource by the user's driving vehicle model by uploading the label corresponding to the resource, and uploads the label to the cloud, and sets the label with the most repeated number as the user favorite resource type, and recommends the resource when other users drive the same type of vehicle. Therefore, the on-board computer can be customized according to personal preference, which reduces the manual operation and makes the on-board computer more humanized.
Abstract
A method for automatically recommending resources by a vehicle-mounted computer on the basis of a vehicle model, and a recommendation system. The method comprises: recording tags corresponding to resources and lists of resources that have been listened to (S100); recording, when users drive vehicles, vehicle models of the users and the quantities of the tags of resources that are listened to, and uploading the vehicle models and the quantities of the tags to a cloud (S101); setting, at the cloud, the tags of resources that are most frequently listened to by users of a same vehicle model as user preferences (S102); and recommending, when another user drives a vehicle of the same model, to the user, a resource that has a tag which is set as a user preference in vehicles of the same model and that has not been listened to by the user (S103). The method enables a vehicle-mounted computer to perform personalized customization according to personal preferences, reduces manual operations, and makes the vehicle-mounted computer more humanized.
Description
本发明属于汽车领域，尤其是涉及 一种车载电脑根据车型自动推荐资源的方法以及推荐系统 。 The invention belongs to the field of automobiles, and in particular relates to a method and a recommendation system for an on-board computer to automatically recommend resources according to a model.
互联网改变了音乐的载体。在唱片工业时代，音乐的载体是黑胶、卡带、 CD 、 MP3
。互联网兴盛之后，音乐的载体变成了互联网免费视听、下载资源网站与平台、客户端以及音乐资源获取的移动 APP 、视频网站。 The Internet has changed the carrier of music. In the era of the record industry, the carrier of music is vinyl, cassette, CD, MP3.
. After the Internet boomed, the carrier of music became a mobile APP and video website for free Internet audio-visual, downloading resource websites and platforms, clients and music resources.
随着智能手机的发展，移动听书也孕育而生，移动听书让现代人随时随地的收听有声小说。同时，可供用户们选择的收听有声小说的载体也越来越多，人们可以利用电脑， MP3
播放机， 数字电视 ， 收音机 等等收听这些小说节目，使得更多的人了解这些小说作品，从而让作者得到宣传作品的机会，并且能获得除出版版税之外的额外收益。
With the development of smart phones, mobile listening books have also emerged, and mobile listening books allow modern people to listen to audio novels anytime, anywhere. At the same time, there are more and more carriers for listening to audio novels that users can choose. People can use computers, MP3.
Players, digital TVs, radios, etc., listen to these novels, so that more people can understand these novels, so that the authors have the opportunity to advertise the works, and can get additional benefits in addition to publishing royalties.
除了音乐、有声读物外，还有很多网络上适合用来听的资源，比如相声小品，新闻，脱口秀节目等等，用户很容易就可以下载到手机或者电脑上。
In addition to music and audio books, there are many resources on the Internet that are suitable for listening, such as comic essays, news, talk shows, etc. Users can easily download them to their mobile phones or computers.
在过去，由于车载系统的特殊性，例如空间有限，无法安装像台式电脑一样的硬件，因此车载系统性能较差，只能播放
cd
，而且车辆行驶在道路上收道路状况的影响，颠簸会影响车载系统的播放质量，但是目前的车载系统无论从硬件还是技术上已经完全能够满足用户娱乐需求，导航，看电影，甚至上网冲浪。但是由于其驾驶的安全性考虑，用户驾驶车辆时一般只是收听有声节目，但是目前车载电脑在播放用户下载的大量资源时一般只能够按顺序，或者随机播放等，这些播放方式无法根据用户喜好播放，因此用户常常需要人工进行干预，这样做在驾车时会分散用户注意力，存在安全隐患。 In the past, due to the special nature of the in-vehicle system, such as limited space, it was impossible to install hardware like a desktop computer, so the performance of the in-vehicle system was poor and it could only be played.
Cd
And the impact of the vehicle on the road to meet the road conditions, bumps will affect the playback quality of the car system, but the current car system has been able to fully meet the user's entertainment needs, navigation, watching movies, and even surfing the Internet, both in hardware and technology. However, due to the safety of driving, users generally only listen to audio programs when driving a vehicle. However, currently, on-board computers can only play a large number of resources downloaded by users, and can only play in order, or randomly, etc. These playback modes cannot be played according to user preferences. Therefore, users often need to manually intervene, which will distract users' attention when driving, and there are security risks.
综上，需要针对当前车载放器切换资源时不方便且资源无法根据用户喜好的播放情况，需要提供一种
通过记录资源对应的标签，统计用户驾驶车辆型号对应收听资源重复次数的标签并上传置云端，将重复次数最多的标签设置为用户喜好资源类型，当其他用户驾驶同型号车辆时推荐该资源，毕竟开同样等级车辆的人，往往具有相同或相近的爱好，从而使车载电脑能根据个人喜好进行个性化定制，减少了人工操作，使车载电脑的更加人性化
。 In summary, it is inconvenient to switch resources for the current vehicle-mounted device, and the resources cannot be played according to the user's preference.
By recording the label corresponding to the resource, the label of the number of times the user drives the vehicle corresponding to the number of repetitions of the listening resource is counted and uploaded to the cloud, and the label with the most repetition is set as the user favorite resource type, and the other user recommends the resource when driving the same model vehicle. People who drive the same class of vehicles often have the same or similar hobbies, so that the on-board computer can be customized according to personal preferences, reducing manual operations and making the on-board computer more user-friendly.
.
本发明实施针对当前车载放器切换资源时不方便且资源无法根据用户喜好的播放情况，需要提供一种
通过记录资源对应的标签，统计用户驾驶车辆型号对应收听资源重复次数的标签并上传置云端，将重复次数最多的标签设置为用户喜好资源类型，当其他用户驾驶同型号车辆时推荐该资源，从而使车载电脑能根据个人喜好进行个性化定制，减少了人工操作，使车载电脑的更加人性化
。 The implementation of the present invention is inconvenient for the current vehicle-mounted device to switch resources, and the resource cannot be played according to the user's preference.
By recording the label corresponding to the resource, counting the label of the number of times the user drives the vehicle corresponding to the number of repetitions of the listening resource and uploading the cloud, and setting the label with the most repetitions as the user-friendly resource type, and recommending the resource when other users drive the same type of vehicle, thereby The on-board computer can be customized according to personal preferences, reducing manual operations and making the on-board computer more user-friendly.
.
本发明是这样实现的： 一种车载电脑根据车型自动推荐资源的方法 ，包括以下步骤： The present invention is implemented as follows: A method for an on-board computer to automatically recommend resources according to a vehicle model, comprising the following steps:
记录资源对应的标签，记录已收听过的资源清单 ; Record the label corresponding to the resource and record the list of resources that have been listened to;
当用户驾车行驶时，记录用户车型及所收听的资源标签次数并上传云端； When the user drives, record the number of users and the number of resource tags they are listening to and upload the cloud;
在云端将同一车型用户收听资源重复次数最多的标签设置为用户喜好； In the cloud, the label with the most repeated number of user listening resources of the same model is set as the user preference;
当另一用户驾驶同型号车辆时，向该用户推荐具有在同型号车辆中被设置为用户喜好的标签，且所述另一用户没有听过的资源。
When another user drives a vehicle of the same model, a resource having a tag set as a user preference in the same model vehicle and not heard by the other user is recommended to the user.
本发明实施例还提供了推荐系统，所述推荐系统包括： An embodiment of the present invention further provides a recommendation system, where the recommendation system includes:
记录单元，统计单元，设置单元，推荐单元，其中： Recording unit, statistical unit, setting unit, recommendation unit, wherein:
记录单元，位于本地，用于记录资源对应的标签，记录已收听过的资源清单； a recording unit, located locally, for recording a label corresponding to the resource, and recording a list of resources that have been listened to;
统计单元，位于本地，其输入端与所述记录单元输出端连接，用于当用户驾车行驶时，记录用户车型及所收听的资源标签次数并上传云端；
The statistical unit is located at a local location, and the input end thereof is connected to the output end of the recording unit, and is used for recording the user model and the number of resource tags that are listened to and uploading the cloud when the user drives the vehicle;
设置单元，位于云端，其输入端与所述统计单元输出端连接，用于在云端将同一车型用户收听资源重复次数最多的标签设置为用户喜好；
The setting unit is located in the cloud, and the input end thereof is connected to the output end of the statistical unit, and is configured to set, in the cloud, a label with the most repeated number of times the user listens to the same model to the user preference;
推荐单元，位于云端，其输入端与所述设置单元输出端连接，用于当另一用户驾驶同型号车辆时，向该用户推荐具有在同型号车辆中被设置为用户喜好的标签，且所述另一用户没有听过的资源。
a recommendation unit, located in the cloud, having an input end connected to the output unit of the setting unit, for recommending, when another user drives the same type of vehicle, a label having the user's preference in the same model vehicle, and A resource that another user has not heard.
该发明通过记录资源对应的标签，统计用户驾驶车辆型号对应收听资源重复次数的标签并上传置云端，将重复次数最多的标签设置为用户喜好资源类型，当其他用户驾驶同型号车辆时推荐该资源，从而使车载电脑能根据个人喜好进行个性化定制，减少了人工操作，使车载电脑的更加人性化。
The invention records the label corresponding to the number of repetitions of the listening resource by the user's driving vehicle model by uploading the label corresponding to the resource, and uploads the label to the cloud, and sets the label with the most repeated number as the user favorite resource type, and recommends the resource when other users drive the same type of vehicle. Therefore, the on-board computer can be customized according to personal preference, which reduces the manual operation and makes the on-board computer more humanized.
图 1 是本发明实施例提供的一种车载电脑根据车型自动推荐资源的方法 的流程示意图 ； 1 is a schematic flow chart of a method for automatically recommending resources according to a vehicle type according to an embodiment of the present invention;
图 2 是本发明实施例提供的推荐系统的结构示意图。 FIG. 2 is a schematic structural diagram of a recommendation system according to an embodiment of the present invention.
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
图 1 是本发明实施例提供的一种车载电脑根据车型自动推荐资源的方法 的流程示意图
，为了便于说明，只示出了与本发明实施例相关的部分。 1 is a schematic flow chart of a method for automatically recommending resources according to a vehicle model by an on-board computer according to an embodiment of the present invention;
For the convenience of description, only parts related to the embodiment of the present invention are shown.
在步骤 S100 中 , 记录资源对应的标签，记录已收听过的资源清单。 In step S100, the label corresponding to the resource is recorded, and the list of resources that have been listened to is recorded.
如'邓丽君'设置'情歌'标签，'黄家驹'设置'摇滚'标签。 For example, 'Teng Lijun' sets the 'Love Song' label, and 'Huang Jiayu' sets the 'Rock' label.
在步骤 S101 中 , 当用户驾车行驶时，记录用户车型及所收听的资源标签次数并上传云端。 In step S101, when the user drives, the user's model number and the number of resource tags that are listened to are recorded and uploaded to the cloud.
在步骤 S102 中，在云端将同一车型用户收听资源重复次数最多的标签设置为用户喜好。 In step S102, the tag with the most repeated number of times the user listens to the same model is set to the user preference in the cloud.
在步骤 S103
中，当另一用户驾驶同型号车辆时，向该用户推荐具有在同型号车辆中被设置为用户喜好的标签，且所述另一用户没有听过的资源。 In step S103
In the case where another user drives the same type of vehicle, the user is recommended to have a tag set as the user's preference in the same model vehicle, and the other user has not heard the resource.
该发明通过记录资源对应的标签，统计用户驾驶车辆型号对应收听资源重复次数的标签并上传置云端，将重复次数最多的标签设置为用户喜好资源类型，当其他用户驾驶同型号车辆时推荐该资源，从而使车载电脑能根据个人喜好进行个性化定制，减少了人工操作，使车载电脑的更加人性化。
The invention records the label corresponding to the number of repetitions of the listening resource by the user's driving vehicle model by uploading the label corresponding to the resource, and uploads the label to the cloud, and sets the label with the most repeated number as the user favorite resource type, and recommends the resource when other users drive the same type of vehicle. Therefore, the on-board computer can be customized according to personal preference, which reduces the manual operation and makes the on-board computer more humanized.
图 2 是本发明实施例提供的推荐系统的结构示意图，所述推荐系统包括： 2 is a schematic structural diagram of a recommendation system according to an embodiment of the present invention, where the recommendation system includes:
记录单元 21 ，统计单元 22 ，设置单元 23 ，推荐单元 24 ，其中： a recording unit 21, a statistic unit 22, a setting unit 23, and a recommendation unit 24, wherein:
记录单元 21 ，位于本地，用于记录资源对应的标签，记录已收听过的资源清单； The recording unit 21 is located locally, and is used for recording a label corresponding to the resource, and recording a list of resources that have been listened to;
统计单元 22 ，位于本地，其输入端与所述记录单元 21
输出端连接，用于当用户驾车行驶时，记录用户车型及所收听的资源标签次数并上传云端； The statistical unit 22 is located at the local, its input end and the recording unit 21
The output terminal is connected, when the user drives, the number of times the user model and the resource tag that is being listened to is recorded and uploaded to the cloud;
设置单元 23 ，位于云端，其输入端与所述统计单元 22
输出端连接，用于在云端将同一车型用户收听资源重复次数最多的标签设置为用户喜好； The setting unit 23 is located in the cloud, and its input end and the statistical unit 22
The output is connected, and is used to set the label of the same model user to listen to the most repeated times in the cloud as the user preference;
推荐单元 24 ，位于云端，其输入端与所述设置单元 23
输出端连接，用于当另一用户驾驶同型号车辆时，向该用户推荐具有在同型号车辆中被设置为用户喜好的标签，且所述另一用户没有听过的资源。 The recommendation unit 24 is located in the cloud, and its input terminal and the setting unit 23
The output is connected for recommending to the user a resource having a tag set to the user's preference in the same model vehicle and not being heard by the other user when the other user drives the same type of vehicle.
其工作原理是：用户在记录单元 21 记录资源对应的标签，记录已收听过的资源清单，统计单元 22
当用户驾车行驶时，记录用户车型及所收听的资源标签次数并上传云端，设置单元 23 在云端将同一车型用户收听资源重复次数最多的标签设置为用户喜好，推荐单元 24
当另一用户驾驶同型号车辆时，向该用户推荐具有在同型号车辆中被设置为用户喜好的标签，且所述另一用户没有听过的资源。 The working principle is: the user records the label corresponding to the resource in the recording unit 21, records the list of resources that have been listened to, and the statistical unit 22
When the user drives, the user's model number and the number of resource tags that are listened to are recorded and uploaded to the cloud, and the setting unit 23 sets the label with the most repeated number of times the user listens to the same model in the cloud as the user preference, and the recommendation unit 24
When another user drives a vehicle of the same model, a resource having a tag set as a user preference in the same model vehicle and not heard by the other user is recommended to the user.
该发明通过记录资源对应的标签，统计用户驾驶车辆型号对应收听资源重复次数的标签并上传置云端，将重复次数最多的标签设置为用户喜好资源类型，当其他用户驾驶同型号车辆时推荐该资源，从而使车载电脑能根据个人喜好进行个性化定制，减少了人工操作，使车载电脑的更加人性化。
The invention records the label corresponding to the number of repetitions of the listening resource by the user's driving vehicle model by uploading the label corresponding to the resource, and uploads the label to the cloud, and sets the label with the most repeated number as the user favorite resource type, and recommends the resource when other users drive the same type of vehicle. Therefore, the on-board computer can be customized according to personal preference, which reduces the manual operation and makes the on-board computer more humanized.
以上仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。
The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalents, and improvements made within the spirit and scope of the present invention should be included in the scope of the present invention. Inside.
Claims (2)
- 一种车载电脑根据车型自动推荐资源的方法，其特征在于，所述方法包括如下步骤： A method for automatically recommending resources according to a vehicle model by a vehicle-mounted computer, characterized in that the method comprises the following steps:记录资源对应的标签，记录已收听过的资源清单 ;Record the label corresponding to the resource and record the list of resources that have been listened to;当用户驾车行驶时，记录用户车型及所收听的资源标签次数并上传云端；When the user drives, record the number of users and the number of resource tags they are listening to and upload the cloud;在云端将同一车型用户收听资源重复次数最多的标签设置为用户喜好；In the cloud, the label with the most repeated number of user listening resources of the same model is set as the user preference;当另一用户驾驶同型号车辆时，向该用户推荐具有在同型号车辆中被设置为用户喜好的标签，且所述另一用户没有听过的资源。When another user drives a vehicle of the same model, a resource having a tag set as a user preference in the same model vehicle and not heard by the other user is recommended to the user.
- 一种推荐系统，其特征在于，所述推荐系统包括：A recommendation system, wherein the recommendation system comprises:记录单元，统计单元，设置单元，推荐单元，其中：Recording unit, statistical unit, setting unit, recommendation unit, wherein:记录单元，位于本地，用于记录资源对应的标签，记录已收听过的资源清单；a recording unit, located locally, for recording a label corresponding to the resource, and recording a list of resources that have been listened to;统计单元，位于本地，其输入端与所述记录单元输出端连接，用于当用户驾车行驶时，记录用户车型及所收听的资源标签次数并上传云端；The statistical unit is located at a local location, and the input end thereof is connected to the output end of the recording unit, and is used for recording the user model and the number of resource tags that are listened to and uploading the cloud when the user drives the vehicle;设置单元，位于云端，其输入端与所述统计单元输出端连接，用于在云端将同一车型用户收听资源重复次数最多的标签设置为用户喜好；The setting unit is located in the cloud, and the input end thereof is connected to the output end of the statistical unit, and is configured to set, in the cloud, a label with the most repeated number of times the user listens to the same model to the user preference;推荐单元，位于云端，其输入端与所述设置单元输出端连接，用于当另一用户驾驶同型号车辆时，向该用户推荐具有在同型号车辆中被设置为用户喜好的标签，且所述另一用户没有听过的资源。a recommendation unit, located in the cloud, having an input end connected to the output unit of the setting unit, for recommending, when another user drives the same type of vehicle, a label having the user's preference in the same model vehicle, and A resource that another user has not heard.
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| PCT/CN2016/071639 WO2017124382A1 (en) | 2016-01-21 | 2016-01-21 | Method for automatically recommending resources by vehicle-mounted computer on basis of vehicle model, and recommendation system |
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| PCT/CN2016/071639 WO2017124382A1 (en) | 2016-01-21 | 2016-01-21 | Method for automatically recommending resources by vehicle-mounted computer on basis of vehicle model, and recommendation system |
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| CN1372765A (en) * | 2000-03-10 | 2002-10-02 | 皇家菲利浦电子有限公司 | Television |
| CN102819550A (en) * | 2011-06-09 | 2012-12-12 | 通用汽车环球科技运作有限责任公司 | Systems and methods for determining recommended media content for exchange between vehicles |
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