WO2017124389A1 - 天气与资源推荐相匹配时的数据采集方法以及推荐系统 - Google Patents

天气与资源推荐相匹配时的数据采集方法以及推荐系统 Download PDF

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WO2017124389A1
WO2017124389A1 PCT/CN2016/071646 CN2016071646W WO2017124389A1 WO 2017124389 A1 WO2017124389 A1 WO 2017124389A1 CN 2016071646 W CN2016071646 W CN 2016071646W WO 2017124389 A1 WO2017124389 A1 WO 2017124389A1
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user
resource
unit
resources
recommendation
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PCT/CN2016/071646
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French (fr)
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阮元
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阮元
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor

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  • the invention belongs to the field of automobiles, and particularly relates to a data collection method and a recommendation system when weather and resource recommendations are matched.
  • 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 on-board computer automatically recommend resources based on the weather, and the recommendation system.
  • the related technology in the paper is evaluated in time, and a method for collecting/sending data using technology is proposed.
  • 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.
  • the user By recording the label corresponding to the resource, the user counts the label with the most repetition of the user's listening resources in the past weather conditions, and sets the user's favorite resource type, so that the on-board computer can be customized according to personal preference, thereby reducing the manual operation and making the on-board computer More humane, at the same time, through the use of timely feedback after the technology, it is also convenient for manufacturers to collect relevant technology in a timely and effective manner. .
  • a data collection method when weather and resource recommendations are matched including the following steps:
  • the user is recommended to have the label that is set as the user's preference in the current weather, and the user has not heard the resource, and sends the technical use data to the data collection end preset by 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 configured to record a label corresponding to the resource, and record a list of resources that have been listened to;
  • a statistical unit wherein the input end is connected to the output end of the recording unit, and is used to record, when the user listens to the resource, the number of times the current weather condition corresponds to the resource tag that the user listens to;
  • a setting unit the input end of which is connected to the output end of the statistical unit, and is configured to set a label corresponding to the maximum number of repetitions of the user's listening resources in each past weather condition as a user preference;
  • a recommendation unit wherein the input end is connected to the output unit of the setting unit, and is configured to recommend, to the user, a label that has been set as a user preference in the current weather according to the current weather condition, and the user has not heard the resource;
  • the data sending unit is connected to the output end of the recommendation unit, and is configured to send technical usage data to a data collection end preset by the manufacturer.
  • the invention By recording the label corresponding to the resource, the invention counts the label that the user listens to the most repeated times in the past weather conditions, and sets the user favorite resource type, so that the on-board computer can be customized according to personal preference, thereby reducing manual operation and making The on-board computer is more user-friendly, and at the same time, through the timely feedback after using the technology, it is also convenient for the manufacturer to collect the relevant technology in a timely and effective manner.
  • FIG. 1 is a schematic flowchart of a data collection method when a weather and a resource recommendation are matched 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 data collection method when a weather and a resource recommendation are matched 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 listens to the resource, the current weather condition is recorded corresponding to the number of resource tags that the user listens to.
  • step S102 the label corresponding to the maximum number of repetitions of the user's listening resources in the past in each weather condition is set as the user preference.
  • step S103 According to the current weather conditions, the user is recommended to have the label that is set as the user's preference in the current weather, and the user has not heard the resource, and sends the technical use data to the data collection end preset by the manufacturer.
  • the technology uses data for the user to use the data of the technology, that is, the data generated when the method completes the first few steps, the data includes the number of times the user uses the technology (eg, the first time using the technology within a certain period of time) Technology); the specific time point of using the technology; the user's related operations before and after using the technology can help the technology provider to better evaluate the market value of the technology, and better improve the technical data according to the feedback.
  • the invention By recording the label corresponding to the resource, the invention counts the label that the user listens to the most repeated times in the past weather conditions, and sets the user favorite resource type, so that the on-board computer can be customized according to personal preference, thereby reducing manual operation and making The on-board computer is more user-friendly, and at the same time, through the timely feedback after using the technology, it is also convenient for the manufacturer to collect the relevant technology in a timely and effective manner.
  • 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 configured to record a label corresponding to the resource, and record a list of resources that have been listened to;
  • a statistical unit 22 an input end thereof and the recording unit 21 The output end is connected, when the user listens to the resource, records the current weather condition corresponding to the number of resource tags that the user listens to;
  • the output terminal is configured to set a label corresponding to the maximum number of repetitions of the user's listening resources in each past weather condition as the user preference;
  • Recommendation unit 24 its input terminal and the setting unit 23 The output end is connected to the user, and according to the current weather condition, the user is recommended to have a label that is set as the user's preference in the current weather, and the user has not heard the resource;
  • Data transmitting unit 25 its input end and the recommendation unit 24
  • the output terminal is connected to send technical usage data to the data collection end 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 current weather condition is recorded corresponding to the number of resource tags that the user listens to
  • the setting unit 23 sets the label corresponding to the maximum number of repetitions of the user's listening resources in each past weather condition as the user preference, the recommendation unit.
  • the data sending unit 25 Send technical usage data to the data acquisition terminal preset by the manufacturer.
  • the invention By recording the label corresponding to the resource, the invention counts the label that the user listens to the most repeated times in the past weather conditions, and sets the user favorite resource type, so that the on-board computer can be customized according to personal preference, thereby reducing manual operation and making The on-board computer is more user-friendly, and at the same time, through the timely feedback after using the technology, it is also convenient for the manufacturer to collect the relevant technology in a timely and effective manner.

Abstract

汽车领域的一种天气与资源推荐相匹配时的数据采集方法以及推荐系统,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);当用户收听资源时,记录当前天气情况对应用户所收听的资源标签次数(S101);将过去各个天气情况对应用户收听资源重复次数最多的标签设置为用户喜好(S102);根据当前天气情况,向用户推荐具有当前天气下被设置为用户喜好的标签,且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)。通过上述方案,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。

Description

天气与资源推荐相匹配时的数据采集方法以及推荐系统 技术领域
本发明属于汽车领域,尤其是涉及 一种天气与资源推荐相匹配时的数据采集方法以及推荐系统 。
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《 车载电脑根据天气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,统计用户过去各个天气情况用户收听资源重复次数最多的标签,设置为用户喜好资源类型,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: 一种天气与资源推荐相匹配时的数据采集方法 ,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 ;
当用户收听资源时,记录当前天气情况对应用户所收听的资源标签次数;
将过去各个天气情况对应用户收听资源重复次数最多的标签设置为用户喜好;
根据当前天气情况,向用户推荐具有当前天气下被设置为用户喜好的标签,且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,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,其输入端与所述记录单元输出端连接,用于当用户收听资源时,记录当前天气情况对应用户所收听的资源标签次数;
设置单元,其输入端与所述统计单元输出端连接,用于将过去各个天气情况对应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,其输入端与所述设置单元输出端连接,用于根据当前天气情况,向用户推荐具有当前天气下被设置为用户喜好的标签,且用户没有听过的资源;
数据发送单元,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。
有益效果
该发明通过记录资源对应的标签,统计用户过去各个天气情况用户收听资源重复次数最多的标签,设置为用户喜好资源类型,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天气与资源推荐相匹配时的数据采集方法 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天气与资源推荐相匹配时的数据采集方法 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 , 当用户收听资源时,记录当前天气情况对应用户所收听的资源标签次数。
在步骤 S102 中,将过去各个天气情况对应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,根据当前天气情况,向用户推荐具有当前天气下被设置为用户喜好的标签,且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。
所述技术使用数据为用户使用该技术的数据,即所述方法走完前几个步骤时产生的数据,所述数据包括用户使用该技术的次数(如在一定时间内是第几次使用该技术);使用该技术的具体时间点;使用该技术前后用户的相关操作等有助于技术提供方更好的评价技术的市场价值,并根据所述反馈更好的改进技术的数据。
该发明通过记录资源对应的标签,统计用户过去各个天气情况用户收听资源重复次数最多的标签,设置为用户喜好资源类型,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 ,数据发送单元 25 ,其中:
记录单元 21 ,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 ,其输入端与所述记录单元 21 输出端连接,用于当用户收听资源时,记录当前天气情况对应用户所收听的资源标签次数;
设置单元 23 ,其输入端与所述统计单元 22 输出端连接,用于将过去各个天气情况对应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 ,其输入端与所述设置单元 23 输出端连接,用于根据当前天气情况,向用户推荐具有当前天气下被设置为用户喜好的标签,且用户没有听过的资源;
数据发送单元 25 ,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 当用户收听资源时,记录当前天气情况对应用户所收听的资源标签次数,设置单元 23 将过去各个天气情况对应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 根据当前天气情况,向用户推荐具有当前天气下被设置为用户喜好的标签,且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,统计用户过去各个天气情况用户收听资源重复次数最多的标签,设置为用户喜好资源类型,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. 一种天气与资源推荐相匹配时的数据采集方法,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 ;
    当用户收听资源时,记录当前天气情况对应用户所收听的资源标签次数;
    将过去各个天气情况对应用户收听资源重复次数最多的标签设置为用户喜好;
    根据当前天气情况,向用户推荐具有当前天气下被设置为用户喜好的标签,且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,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,其输入端与所述记录单元输出端连接,用于当用户收听资源时,记录当前天气情况对应用户所收听的资源标签次数;
    设置单元,其输入端与所述统计单元输出端连接,用于将过去各个天气情况对应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,其输入端与所述设置单元输出端连接,用于根据当前天气情况,向用户推荐具有当前天气下被设置为用户喜好的标签,且用户没有听过的资源;
    数据发送单元,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/CN2016/071646 2016-01-21 2016-01-21 天气与资源推荐相匹配时的数据采集方法以及推荐系统 WO2017124389A1 (zh)

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CN102654860A (zh) * 2011-03-01 2012-09-05 北京彩云在线技术开发有限公司 一种个性化音乐推荐方法及系统
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