WO2017124380A1 - 推荐音频资源时的技术使用数据统计方法以及推荐系统 - Google Patents

推荐音频资源时的技术使用数据统计方法以及推荐系统 Download PDF

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WO2017124380A1
WO2017124380A1 PCT/CN2016/071637 CN2016071637W WO2017124380A1 WO 2017124380 A1 WO2017124380 A1 WO 2017124380A1 CN 2016071637 W CN2016071637 W CN 2016071637W WO 2017124380 A1 WO2017124380 A1 WO 2017124380A1
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user
unit
cloud
resources
vehicle
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PCT/CN2016/071637
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阮元
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阮元
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor

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  • the invention belongs to the field of automobiles, and in particular relates to a technical usage data statistical method and a recommendation system when recommending audio resources.
  • the number of invention patents applied by OPPO in 2014 was 938, while the number of invention patents of Tencent in the same period was 1,447.
  • the inventions of the two companies about 80% of the total number of invention patents related to user experience and direct user operations.
  • similar patent applications, including other companies based on user experience are also of a large order of magnitude, such as Huawei.
  • the patent application process and the post-authorization maintenance process will generate human and financial costs: such as replying to review opinions, paying license fees, etc., for core technologies (such as CDMA underlying technology) or market identification.
  • core technologies such as CDMA underlying technology
  • market identification For relatively high-tech technologies (such as sliding unlocking), the related costs are negligible, and the investment in these technologies is worthwhile, but such technologies are a minority after all, and more technologies have been verified by the market. The user's pain points or itch points cannot be touched, and the patent investment in these technologies is likely to cause cost waste.
  • 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 preference, which reduces the manual operation and makes the on-board computer more humanized.
  • a method of statistical use of technology usage when recommending audio resources includes the following steps:
  • the label with the most repeated number of user listening resources of the same model is set as the user preference
  • the user When another user drives a vehicle of the same model, the user is recommended to have a label that is set as a user preference in the same model vehicle, and the other user has not heard the resource, and sends the data to the preset data collection end of the manufacturer.
  • Technical usage data When another user drives a vehicle of the same model, the user is recommended to have a label that is set as a user preference in the same model vehicle, and the other user has not heard the resource, and sends the data to the preset data collection end of the manufacturer.
  • An embodiment of the present invention further provides a recommendation system, where the recommendation system includes:
  • Recording unit statistical unit, setting unit, recommendation unit, data sending 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 The resources that another user has not heard are sent, and the technical usage data is sent to the data collection end preset by the manufacturer.
  • 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, the manual operation is reduced, the on-board computer is more humanized, and the timely feedback after using the technology also facilitates the timely and effective collection of relevant technologies by the manufacturer.
  • FIG. 1 is a schematic flowchart of a method for statistically using technical data when recommending audio resources 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 flowchart of a method for statistically using technical data when recommending audio resources 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 When another user drives a vehicle of the same model, the user is recommended to have a label that is set as a user's preference in the same model vehicle, and the other user has not heard the resource, and preset data collection to the manufacturer. The end sends the technology to use the data.
  • 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, the manual operation is reduced, the on-board computer is more humanized, and the timely feedback after using the technology also facilitates the timely and effective collection of relevant technologies by the manufacturer.
  • 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 terminal is connected to, when another user drives the same type of vehicle, recommend to the user a resource having a label set as a user preference in the same type of vehicle, and the other user has not heard the resource;
  • the data sending unit 25 is located in the cloud, and its input end is connected to the output end of the recommendation unit 24, and is used for Send technical usage data to the data acquisition terminal preset by the manufacturer.
  • 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
  • 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
  • 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
  • the recommendation unit 24 When another user drives a vehicle of the same model, the user is recommended to have a tag set as a user preference in the same model vehicle, and the other user has not heard the resource, and at the same time, the data transmitting unit 25 Send technical usage data to the data acquisition terminal preset by the manufacturer.
  • 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, the manual operation is reduced, the on-board computer is more humanized, and the timely feedback after using the technology also facilitates the timely and effective collection of relevant technologies by the manufacturer.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
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Abstract

一种推荐音频资源时的技术使用数据统计方法以及推荐系统，属于汽车领域，所述方法包括：记录资源对应的标签，记录已收听过的资源清单（S100）；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（S101）；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（S102）；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，并向厂家预设的数据采集端发送技术使用数据（S103）。该方法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，使车载电脑更加人性化，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况。

Description

推荐音频资源时的技术使用数据统计方法以及推荐系统 技术领域
本发明属于汽车领域，尤其是涉及 一种推荐音频资源时的技术使用数据统计方法以及推荐系统 。
背景技术
现在企业申请的专利数量越来越多，而且将专利用在市场上、产品中的情形也越来越多。
根据国家知识产权的数据库显示，OPPO公司在2014年申请的发明专利数为938个，而同期的腾讯公司的发明专利数为1447个。这两家公司的发明中，有关于用户体验和用户直接操作相关的发明专利约占总数的80%左右。当然包括其他以用户体验为主的公司的类似专利申请也是具有很大的数量级，比如小米公司等。
考虑到技术使用的同时，专利的申请过程和授权后的维护过程都会产生人力、财力上的成本：如答复审查意见、缴纳授权费等，对于核心技术（如：CDMA的底层技术）或市场认同度比较高的技术（如：滑动解锁）而言，那么相关成本就可以忽略不计，对于这些技术的投入是值得的，但这类技术毕竟是少数，更多的技术经过市场验证后，其实并不能触及用户的痛点或痒点，而对这些技术的专利投入，就容易造成成本的浪费。
所以需要有一种方法能够通过实在的数据，及时评估相关技术的市场接受度或价值，同时，为了使得本人的上一个申请《 车载电脑根据车型自动推荐资源的方法以及推荐系统 》中的相关技术得到及时评估，特提出一种技术使用数据的采集/发送的方法。
 技术问题
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，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况 。
技术解决方案
本发明是这样实现的： 一种推荐音频资源时的技术使用数据统计方法 ，包括以下步骤：
记录资源对应的标签，记录已收听过的资源清单 ;
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；
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；
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，并向厂家预设的数据采集端发送技术使用数据。
本发明实施例还提供了推荐系统，所述推荐系统包括：
记录单元，统计单元，设置单元，推荐单元，数据发送单元，其中：
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；
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；
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；
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，并向厂家预设的数据采集端发送技术使用数据。
 有益效果
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，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况。
 附图说明
图 1 是本发明实施例提供的一种推荐音频资源时的技术使用数据统计方法 的流程示意图 ；
图 2 是本发明实施例提供的推荐系统的结构示意图。
 本发明的实施方式
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。
图 1 是本发明实施例提供的一种推荐音频资源时的技术使用数据统计方法 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。
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。
如'邓丽君'设置'情歌'标签，'黄家驹'设置'摇滚'标签。
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。
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。
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，并向厂家预设的数据采集端发送技术使用数据。
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，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况。
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：
记录单元 21 ，统计单元 22 ，设置单元 23 ，推荐单元 24 ，其中：
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；
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；
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；
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；
数据发送单元 25 ，位于云端，其输入端与所述推荐单元 24 输出端连接，用于 向厂家预设的数据采集端发送技术使用数据。
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，同时，数据发送单元 25 向厂家预设的数据采集端发送技术使用数据。
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，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况。
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。

Claims (2)

  1. 一种推荐音频资源时的技术使用数据统计方法，其特征在于，所述方法包括如下步骤：
    记录资源对应的标签，记录已收听过的资源清单 ;
    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；
    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；
    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，并向厂家预设的数据采集端发送技术使用数据。
  2. 一种推荐系统，其特征在于，所述推荐系统包括：
    记录单元，统计单元，设置单元，推荐单元，数据发送单元，其中：
    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；
    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；
    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；
    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；
    数据发送单元，位于云端，其输入端与所述推荐单元输出端连接，用于 向厂家预设的数据采集端发送技术使用数据。
PCT/CN2016/071637 2016-01-21 2016-01-21 推荐音频资源时的技术使用数据统计方法以及推荐系统 WO2017124380A1 (zh)

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