WO2017124416A1 - 优惠劵推荐相关技术的使用数据采集方法以及推荐*** - Google Patents

优惠劵推荐相关技术的使用数据采集方法以及推荐*** Download PDF

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WO2017124416A1
WO2017124416A1 PCT/CN2016/071673 CN2016071673W WO2017124416A1 WO 2017124416 A1 WO2017124416 A1 WO 2017124416A1 CN 2016071673 W CN2016071673 W CN 2016071673W WO 2017124416 A1 WO2017124416 A1 WO 2017124416A1
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user
label
unit
recording
coupon
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PCT/CN2016/071673
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赵政荣
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赵政荣
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising

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  • the present invention belongs to the field of the Internet, and in particular to a usage data collection method and a recommendation system for a related art.
  • 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 present invention needs to provide a kind of situation that the current advertisement delivery is not targeted and cannot be accurately delivered according to the user's consumption habits.
  • the consumer volume can be sent more targetedly, and the user can also quickly grasp the latest consumption information that suits their consumption habits.
  • timely feedback after using the technology Facilitate the timely and effective collection of relevant technologies by manufacturers .
  • a preferential ⁇ recommendation related data usage data collection method comprising the following steps:
  • the coupon with the consumption habit tag is sent to the user, and the technical usage data is sent to the data collection terminal preset by the manufacturer.
  • An embodiment of the present invention further provides a recommendation system, where the recommendation system includes:
  • Recording unit uploading unit, analyzing unit, discount, sending unit, technical data sending unit, wherein:
  • a recording unit located locally, for recording a type label corresponding to the consumer product, and recording a user-purchased consumer product type label;
  • the uploading unit is located at the local end, and the input end thereof is connected to the output end of the recording unit, and is configured to upload the user-purchased consumer product type label to the cloud;
  • the analyzing unit is located in the cloud, and is configured to determine, according to the number of repetitions of the label, a label having the highest number of repetitions as a consumption habit label of the user;
  • a coupon sending unit located in the cloud, and an input end connected to the output of the analyzing unit, configured to send the coupon with the consumption habit label to the user;
  • the technical data sending unit is located in the cloud, and the input end thereof is connected to the output end of the preferential ⁇ sending unit, and is configured to send the technical use data to the data collecting end preset by the manufacturer.
  • the invention analyzes the user's consumption habits and analyzes the user's consumption habits, so that the consumer volume can be sent more targetedly, and the user can also quickly grasp the latest consumption information in accordance with his own consumption habits, and in addition, timely feedback through the use of technology. It also facilitates the timely and effective collection of relevant technologies by manufacturers.
  • FIG. 1 is a schematic flowchart of a usage data collection method of a preferential ⁇ recommendation related technology 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 usage data collection method of a preferential ⁇ recommendation related technology 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 type label corresponding to the consumer product is recorded, and the user purchases the consumer product type label.
  • the technology is prior art. At present, the user will consume the card through a bank card or a credit card, or the cash will also store the consumption record at the counter cash register.
  • step S101 the user purchases a consumer product type tag is uploaded to the cloud.
  • the consumption type label can record the user's consumption more carefully, such as 'Sichuan hot pot', 'cycling supplies' and other types.
  • step S102 the tag with the highest number of repetitions is determined as the user's consumption habit tag according to the number of repetitions of the tag.
  • step S103 The utility model sends a coupon with the consumption habit tag to the user, and sends the technical use data to the data collection end preset by the manufacturer.
  • the user recorded by the above-mentioned record purchases the consumer product type label, and according to the number of repetitions of the label, the label with the most repetition is determined as the user's consumption habit label, such as what brand the user likes to buy or the price, and sends the same to the user. After the consumption of the label, the user also enjoys the corresponding discount while the advertisement is being advertised.
  • 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 analyzes the user's consumption habits and analyzes the user's consumption habits, so that the consumer volume can be sent more targetedly, and the user can also quickly grasp the latest consumption information in accordance with his own consumption habits, and in addition, timely feedback through the use of technology. It also facilitates the timely and effective collection of relevant technologies by manufacturers.
  • 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 at the local location and is used for recording the type label corresponding to the consumer product, and recording the user-purchased consumer product type label;
  • the uploading unit 22 is located at the local location, and its input terminal and recording unit 21 The output end is connected to upload the user-purchased consumer product type label to the cloud;
  • Analysis unit 23 In the cloud, used to determine the label with the most repetitions as the user's consumption habit label according to the number of repetitions of the label;
  • Offer ⁇ Send 24, in the cloud, its input and analysis unit 23 An output connection for transmitting a coupon having the consumption habit tag to a user;
  • the technical data sending unit 25 is located in the cloud, and its input end and the coupon sending 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 type label corresponding to the consumer product in the recording unit 21, records the user purchase consumer type label, and uploads the unit. 22 uploading the user purchase consumer type label to the cloud, and the analyzing unit 23 determines the label with the most repetition as the user's consumption habit label, the coupon ⁇ sending unit 24 The coupon having the consumption habit tag is sent to the user, and the technical data transmitting unit 25 transmits the technical use data to the data collection terminal preset by the manufacturer.
  • the invention analyzes the user's consumption habits and analyzes the user's consumption habits, so that the consumer volume can be sent more targetedly, and the user can also quickly grasp the latest consumption information in accordance with his own consumption habits, and in addition, timely feedback through the use of technology. It also facilitates the timely and effective collection of relevant technologies by manufacturers.

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Abstract

一种优惠券推荐相关技术的使用数据采集方法以及推荐***，属于互联网领域。所述方法包括：记录消费品对应的类型标签，记录用户购买消费品类型标签；向云端上传所述用户购买消费品类型标签；根据所述标签的重复次数，将重复次数最多的标签确定为用户的消费习惯标签；向用户发送具有所述消费习惯标签的优惠券，并向厂家预设的数据采集端发送技术使用数据。通过记录用户消费情况，分析用户消费习惯，从而更加有针对性的发送消费券，同时用户也能更加快速地掌握最新的符合自己消费习惯的消费信息。此外，通过使用技术后的技术反馈，也方便厂家及时有效的采集相关技术的使用情况。

Description

优惠劵推荐相关技术的使用数据采集方法以及推荐*** 技术领域
本发明属于互联网领域，尤其是涉及 一种优惠劵推荐相关技术的使用数据采集方法以及推荐*** 。
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《 自动推荐优惠劵的方法以及推荐*** 》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广告投放针对性不强，无法根据用户消费习惯精确投放的情况，需要提供一种 通过记录用户消费情况，分析用户消费习惯，从而更加有针对性的发送消费卷，同时用户也能更加快速的掌握最新的符合自己消费习惯的消费信息，此外，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： 一种优惠劵推荐相关技术的使用数据采集方法 ，包括以下步骤：
记录消费品对应的类型标签，记录用户购买消费品类型标签；
向云端上传所述用户购买消费品类型标签；
根据所述标签的重复次数，将重复次数最多的标签确定为用户的消费习惯标签 ;
向用户发送具有所述消费习惯标签的优惠券，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***，所述推荐***包括：
记录单元，上传单元，分析单元，优惠劵发送单元，技术数据发送单元，其中：
记录单元，位于本地，用于记录消费品对应的类型标签，记录用户购买消费品类型标签；
上传单元，位于本地，其输入端与记录单元输出端连接，用于向云端上传所述用户购买消费品类型标签；
分析单元，位于云端，用于根据所述标签的重复次数，用于将重复次数最多的标签确定为用户的消费习惯标签；
优惠劵发送单元，位于云端，其输入端与分析单元输出端连接，用于向用户发送具有所述消费习惯标签的优惠券；
技术数据发送单元，位于云端，其输入端与优惠劵发送单元输出端连接，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
该发明通过记录用户消费情况，分析用户消费习惯，从而更加有针对性的发送消费卷，同时用户也能更加快速的掌握最新的符合自己消费习惯的消费信息，此外，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优惠劵推荐相关技术的使用数据采集方法 的流程示意图 ；
图 2 是本发明实施例提供的推荐***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优惠劵推荐相关技术的使用数据采集方法 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 , 记录消费品对应的类型标签，记录用户购买消费品类型标签。
该技术为现有技术，目前用户消费时会通过银行卡、******，或者现金也会在柜台收款机储存消费记录。
在步骤 S101 中 , 向云端上传所述用户购买消费品类型标签。
消费类型标签可以更加细致的记录用户消费情况，例如'四川火锅'，'骑行用品'等类型。
在步骤 S102 中，根据所述标签的重复次数，将重复次数最多的标签确定为用户的消费习惯标签。
在步骤 S103 中，向用户发送具有所述消费习惯标签的优惠券，并向厂家预设的数据采集端发送技术使用数据。
通过上述记录的用户购买消费品类型标签，并根据所述标签的重复次数，将重复次数最多的标签确定为用户的消费习惯标签，例如用户喜欢买什么牌子或者价位的物品，并向用户发送具有同样标签的消费劵，商家打了广告的同时，用户也享受了相应的折扣。
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。
该发明通过记录用户消费情况，分析用户消费习惯，从而更加有针对性的发送消费卷，同时用户也能更加快速的掌握最新的符合自己消费习惯的消费信息，此外，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***的结构示意图，所述推荐***包括：
记录单元 21 ，上传单元 22 ，分析单元 23 ，优惠劵发送单元 24 ，技术数据发送单元 25 ，其中：
记录单元 21 ，位于本地，用于记录消费品对应的类型标签，记录用户购买消费品类型标签；
上传单元 22 ，位于本地，其输入端与记录单元 21 输出端连接，用于向云端上传所述用户购买消费品类型标签；
分析单元 23 ，位于云端，用于根据所述标签的重复次数，用于将重复次数最多的标签确定为用户的消费习惯标签；
优惠劵发送单 ,24 ，位于云端，其输入端与分析单元 23 输出端连接，用于向用户发送具有所述消费习惯标签的优惠券；
技术数据发送单元 25 ，位于云端，其输入端与优惠劵发送单元 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 记录消费品对应的类型标签，记录用户购买消费品类型标签，上传单元 22 向云端上传所述用户购买消费品类型标签，分析单元 23 将重复次数最多的标签确定为用户的消费习惯标签，优惠劵发送单元 24 向用户发送具有所述消费习惯标签的优惠券，同时，技术数据发送单元 25 向厂家预设的数据采集端发送技术使用数据。
该发明通过记录用户消费情况，分析用户消费习惯，从而更加有针对性的发送消费卷，同时用户也能更加快速的掌握最新的符合自己消费习惯的消费信息，此外，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. 一种优惠劵推荐相关技术的使用数据采集方法，其特征在于，所述方法包括如下步骤：
    记录消费品对应的类型标签，记录用户购买消费品类型标签；
    向云端上传所述用户购买消费品类型标签；
    根据所述标签的重复次数，将重复次数最多的标签确定为用户的消费习惯标签 ;
    向用户发送具有所述消费习惯标签的优惠券，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***，其特征在于，所述推荐***包括：
    记录单元，上传单元，分析单元，优惠劵发送单元，技术数据发送单元，其中：
    记录单元，位于本地，用于记录消费品对应的类型标签，记录用户购买消费品类型标签；
    上传单元，位于本地，其输入端与记录单元输出端连接，用于向云端上传所述用户购买消费品类型标签；
    分析单元，位于云端，用于根据所述标签的重复次数，用于将重复次数最多的标签确定为用户的消费习惯标签；
    优惠劵发送单元，位于云端，其输入端与分析单元输出端连接，用于向用户发送具有所述消费习惯标签的优惠券；
    技术数据发送单元，位于云端，其输入端与优惠劵发送单元输出端连接，用于向厂家预设的数据采集端发送技术使用数据。
PCT/CN2016/071673 2016-01-21 2016-01-21 优惠劵推荐相关技术的使用数据采集方法以及推荐*** WO2017124416A1 (zh)

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