WO2017124415A1 - 推荐优惠劵时的技术数据采集方法以及推荐系统 - Google Patents
推荐优惠劵时的技术数据采集方法以及推荐系统 Download PDFInfo
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- the invention belongs to the field of the Internet, and in particular relates to a technical data collection method and a recommendation system when recommending a discount.
- 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 is more targeted according to the user's customary consumption period, and the user can also quickly grasp the latest consumption information in line with his own consumption habits.
- the timely feedback will also facilitate the timely and effective collection of relevant technologies by manufacturers. .
- a method for collecting technical data when recommending a discount comprising the following steps:
- a period in which the label with the most repetition is located is a period of consumption of the user
- the coupon with the consumption habit tag is sent to the user during the consumption habit tag period of the user, and the technical use data is sent 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 uploading unit, analyzing unit, discount, sending unit, data sending unit, wherein:
- a recording unit located locally, for recording a type label corresponding to a consumer product, recording a user-purchased consumer product type label and a purchase time;
- 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 and time 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 in a specific time period, a period in which the label with the most repetition is located as a user's consumption habit label period;
- 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 during the consumption habit tag period of the user;
- the 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 consumption volume is more targeted according to the consumption time of the user's habit, and the user can also quickly grasp the latest consumption information in accordance with his own consumption habits, in addition,
- 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 collecting technical data when recommending a discount 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 collecting technical data when recommending a discount according to an embodiment of the present invention
- step S100 the type label corresponding to the consumer product is recorded, and the user purchases the consumer product type label and the purchase time.
- 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 the consumer product type label and the time 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. Recording the consumption time can analyze the time period that the user often consumes, and the average user will consume it when he is off work or on weekends.
- the time period in which the tag with the most repetition is located is determined as the user's consumption habit tag period according to the number of repetitions of the tag in a certain time period.
- step S103 The coupon with the consumption habit tag is sent to the user during the consumption habit tag period of the user, and the technical use data is sent to the data collection end preset by the manufacturer.
- the label with the most repetition is determined as the user's consumption habit label, for example, the user likes to shop at the mall on Saturday, like to buy what brand or price item, and send the purchase ⁇ in advance.
- the user also enjoyed the corresponding discount.
- 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 consumption volume is more targeted according to the consumption time of the user's habit, and the user can also quickly grasp the latest consumption information in accordance with his own consumption habits, in addition,
- 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:
- Recording unit 21 located locally, for recording the type label corresponding to the consumer product, recording the user's purchase of the consumer product type label and the purchase time;
- 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 and time to the cloud;
- the time period in which the label with the most repetition is located is determined as the consumption habit period of the user according to the number of repetitions of the label in a certain period of time;
- Offer ⁇ sending unit 24 located in the cloud, its input and analysis unit 23 The output end is configured to send a coupon with the consumption habit tag to the user during a consumption habit tag period of the user;
- the 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 user is in the recording unit 21
- the type label corresponding to the consumer product is recorded
- the uploading unit 22 uploads the user purchase consumer product type label and time to the cloud
- the analyzing unit 23 Determining, according to the number of repetitions of the label in a specific time period, the period in which the label with the most repetition is located is the user's consumption habit label period
- the sending unit 24 The coupon having the consumption habit tag is sent to the user during the consumption habit tag period of the user, and the 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 consumption volume is more targeted according to the consumption time of the user's habit, and the user can also quickly grasp the latest consumption information in accordance with his own consumption habits, in addition,
- the timely feedback after using the technology also facilitates the timely and effective collection of relevant technologies by the manufacturer.
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Abstract
一种推荐优惠劵时的技术数据采集方法以及推荐系统，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及购买时间（S100）；向云端上传所述用户购买消费品类型标签及时间（S101）；根据所述标签在特定时段的重复次数，将重复次数最多的标签所在的时段确定为用户的消费习惯标签时段（S102）；在所述用户的消费习惯标签时段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（S103）。有针对性的根据用户习惯的消费时段发送消费卷，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。
Description
本发明属于互联网领域，尤其是涉及 一种推荐优惠劵时的技术数据采集方法以及推荐系统 。
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。
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根据用户习惯的消费时段发送消费卷，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
。
本发明是这样实现的： 一种推荐优惠劵时的技术数据采集方法 ，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及购买时间；
向云端上传所述用户购买消费品类型标签及时间；
根据所述标签在特定时段的重复次数，将重复次数最多的标签所在的时段确定为用户的消费习惯标签时段；
在所述用户的消费习惯标签时段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系统，所述推荐系统包括：
记录单元，上传单元，分析单元，优惠劵发送单元，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及购买时间；
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及时间；
分析单元，位于云端，用于根据所述标签在特定时段的重复次数，将重复次数最多的标签所在的时段确定为用户的消费习惯标签时段；
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，用于在所述用户的消费习惯标签时段向用户发送具有所述消费习惯标签的优惠券；
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。
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根据用户习惯的消费时段发送消费卷，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 1 是本发明实施例提供的一种推荐优惠劵时的技术数据采集方法 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。
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优惠劵时的技术数据采集方法 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及购买时间。
该技术为现有技术，目前用户消费时会通过银行卡、信用卡刷卡消费，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及时间。
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，记录消费时间可以分析用户经常消费的时段，一般用户都会在下班或者周末休息时进行消费。
在步骤 S102
中，根据所述标签在特定时段的重复次数，将重复次数最多的标签所在的时段确定为用户的消费习惯标签时段。
在步骤 S103
中，在所述用户的消费习惯标签时段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及时间，将重复次数最多的标签确定为用户的消费习惯标签，例如用户喜欢在周六到商场购物，喜欢买什么牌子或者价位的物品，提前发送消费劵，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根据用户习惯的消费时段发送消费卷，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系统的结构示意图，所述推荐系统包括：
记录单元 21 ，上传单元 22 ，分析单元 23 ，优惠券发送单元 24
，数据发送单元，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及购买时间；
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及时间；
分析单元 23
，位于云端，用于根据所述标签在特定时段的重复次数，将重复次数最多的标签所在的时段确定为用户的消费习惯标签时段；
优惠劵发送单元 24 ，位于云端，其输入端与分析单元 23
输出端连接，用于在所述用户的消费习惯标签时段向用户发送具有所述消费习惯标签的优惠券；
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及购买时间，上传单元 22 向云端上传所述用户购买消费品类型标签及时间，分析单元 23
根据所述标签在特定时段的重复次数，将重复次数最多的标签所在的时段确定为用户的消费习惯标签时段，发送单元 24
在所述用户的消费习惯标签时段向用户发送具有所述消费习惯标签的优惠券，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。
该发明通过记录用户消费情况，分析用户消费习惯，从而更加有针对性的根据用户习惯的消费时段发送消费卷，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)
- 一种推荐优惠劵时的技术数据采集方法，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及购买时间；向云端上传所述用户购买消费品类型标签及时间；根据所述标签在特定时段的重复次数，将重复次数最多的标签所在的时段确定为用户的消费习惯标签时段；在所述用户的消费习惯标签时段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。
- 一种推荐系统，其特征在于，所述推荐系统包括：记录单元，上传单元，分析单元，优惠劵发送单元，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及购买时间；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及时间；分析单元，位于云端，用于根据所述标签在特定时段的重复次数，将重复次数最多的标签所在的时段确定为用户的消费习惯标签时段；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，用于在所述用户的消费习惯标签时段向用户发送具有所述消费习惯标签的优惠券；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。
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