WO2020140768A1 - 优惠信息确定方法、装置、电子设备及介质 - Google Patents
优惠信息确定方法、装置、电子设备及介质 Download PDFInfo
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- WO2020140768A1 WO2020140768A1 PCT/CN2019/126897 CN2019126897W WO2020140768A1 WO 2020140768 A1 WO2020140768 A1 WO 2020140768A1 CN 2019126897 W CN2019126897 W CN 2019126897W WO 2020140768 A1 WO2020140768 A1 WO 2020140768A1
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- preferential information
- behavior data
- target user
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- information provider
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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
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0222—During e-commerce, i.e. online transactions
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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
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0224—Discounts or incentives, e.g. coupons or rebates based on user history
Definitions
- the historical data acquisition module is used to acquire the historical behavior data of the target user for the preferential information provider
- a third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and executed by the processor to execute the computer program The method described in the first aspect of the present application.
- FIG. 4 shows a schematic diagram of a computer-readable medium provided by some embodiments of the present application.
- FIG. 1 shows a flowchart of a method for determining commodity preferential information provided by some embodiments of the present application.
- the method for determining commodity preferential information may include the following steps:
- Step S101 Obtain the historical behavior data of the target user against the provider of the preferential information.
- the preferential information provider may include any object with sales behavior.
- the preferential information provider may be an e-commerce platform, such as Taobao, Tmall Mall, Jingdong Mall, etc., or It is any other service platform, application or merchant that has a selling behavior.
- Its selling behavior is not limited to the sale of physical goods, but can also include the sale of virtual goods.
- the virtual goods can include but are not limited to mobile communication traffic, online live broadcast platforms The virtual gifts, membership rights in the application, etc., the merchant can engage in the sale of goods in the above-mentioned e-commerce platform, service platform or application, which should be within the scope of protection of this application.
- the preferential information provider may provide preferential information to the target user during the sale process, and the preferential information may include discount information, reward information, or other concession information provided for the target user, which is not limited in this embodiment of the present application.
- the historical behavior data includes, but is not limited to, the historical visit records, historical purchase records, historical interaction information, etc. of the target user related to the preferential information provider, which can be extracted and obtained based on historical log data of the application, etc.
- the behavior data of the target user is obtained through targeted recording, and the embodiment of the present application does not limit its specific implementation manner.
- the contribution degree of the target user to the preferential information provider is determined.
- the contribution degree of the target user’s beneficial behavior data in the total beneficial behavior data of the overall user can be determined to determine its contribution. Since the above ratio is a relative value, it can incentivize users to compare with each other and continuously improve Its contribution helps to increase user activity and stickiness.
- the determination of the contribution of the target user to the preferential information provider by calculating the ratio of the beneficial behavior data and the total beneficial behavior data may include:
- the determining of the target preferential information provided by the preferential information provider for the target user according to the contribution degree may include:
- all users can be ranked according to the contribution degree, and then the target preferential information for ranking with the target user can be determined according to the preset correspondence between the ranking and the preferential information.
- the preferential information of the top 10 users may be better than the preferential information of the users ranked 11-30.
- the target preferential information provider by acquiring historical behavior data of the target user for the preferential information provider, and filtering out the target user for the preferential information Beneficial behavior data of the party, so as to determine the target preferential information provided by the preferential information provider to the target user based on the beneficial behavior data, on the one hand, it can simplify the complexity of the preferential information and effectively solve the current coupon and discount coupon overlay Operational loopholes and economic and reputation losses that may be caused by complicated preferential information determination methods; on the other hand, because the user's target preferential information is determined based on the user's beneficial behavior data for the preferential information provider, the more beneficial behaviors , The greater the strength of the discount corresponding to the discount information, so that the discount information is effectively linked to the user's daily behavior, which can incentivize the user to make more beneficial behaviors to the discount information provider, thereby effectively improving user stickiness.
- the contribution degree determination subunit is configured to determine the contribution degree of the target user to the preferential information provider by calculating the ratio of the beneficial behavior data and the total beneficial behavior data.
- the beneficial behavior data includes multiple items
- the contribution determination subunit includes:
- a sub-contribution degree calculation subunit which is used to calculate the ratio of each beneficial behavior data to the total beneficial behavior data corresponding thereto, and obtain a sub-contribution degree corresponding to each beneficial behavior data;
- a weighting calculation subunit is used to weight and sum the sub-contribution degrees corresponding to each of the beneficial behavior data to obtain the contribution degree of the target user to the preferential information provider.
- the electronic device provided by the embodiment of the present application and the method for determining the commodity preferential information provided by the embodiment of the present application are based on the same inventive concept and have the same beneficial effects as the method adopted, operated, or implemented.
- the disclosed device and method may be implemented in other ways.
- the device embodiments described above are only schematic.
- the division of the unit is only a division of logical functions.
- multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented.
- the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some communication interfaces, devices or units, and may be in electrical, mechanical, or other forms.
- the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
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Abstract
Description
Claims (12)
- 一种优惠信息确定方法,其特征在于,包括:获取目标用户针对优惠信息提供方的历史行为数据;从所述历史行为数据中查询所述目标用户针对所述优惠信息提供方的有益行为数据;根据所述有益行为数据,确定所述优惠信息提供方为所述目标用户提供的目标优惠信息。
- 根据权利要求1所述的方法,其特征在于,所述根据所述有益行为数据,确定所述优惠信息提供方为所述目标用户提供的目标优惠信息,包括:根据所述有益行为数据,确定所述目标用户对所述优惠信息提供方的贡献度;根据所述贡献度,确定所述优惠信息提供方为所述目标用户提供的目标优惠信息。
- 根据权利要求2所述的方法,其特征在于,所述根据所述有益行为数据,确定所述目标用户对所述优惠信息提供方的贡献度,包括:获取针对所述优惠信息提供方的总有益行为数据;通过计算所述有益行为数据和所述总有益行为数据的比值,确定所述目标用户对所述优惠信息提供方的贡献度。
- 根据权利要求3所述的方法,其特征在于,所述有益行为数据包括多项;所述通过计算所述有益行为数据和所述总有益行为数据的比值,确定所述目标用户对所述优惠信息提供方的贡献度,包括:计算各项所述有益行为数据和与其对应的总有益行为数据的比值,得到对应于各项所述有益行为数据的子贡献度;将所述对应于各项所述有益行为数据的子贡献度进行加权求和,得到所述目标用户对所述优惠信息提供方的贡献度。
- 根据权利要求3所述的方法,其特征在于,所述有益行为数据包括目标用户在指定时间段内针对所述优惠信息提供方的有益行为数据,所述总有益行为数据包括所有用户在所述指定时间段内针对所述优惠信息提供方的有益行为数据。
- 根据权利要求2所述的方法,其特征在于,所述根据所述贡献度,确定所 述优惠信息提供方为所述目标用户提供的目标优惠信息,包括:根据所述贡献度与预设的乘数因子的乘积,确定所述优惠信息提供方为所述目标用户提供的目标优惠信息。
- 根据权利要求2所述的方法,其特征在于,所述根据所述贡献度,确定所述优惠信息提供方为所述目标用户提供的目标优惠信息,包括:根据所述贡献度,确定所述目标用户在所有用户中的排名;根据所述排名,确定所述优惠信息提供方为所述目标用户提供的目标优惠信息。
- 根据权利要求1所述的方法,其特征在于,所述有益行为数据包括:对所述优惠信息提供方提供或使用的应用程序和/或商品的使用时长、使用次数、浏览时长、浏览次数、评论次数、好评次数、有效评价次数、分享次数、活跃度、点赞次数和互动次数中的至少一项。
- 根据权利要求1至8任一项所述的方法,其特征在于,所述目标优惠信息包括折扣信息和奖励信息中的至少一种。
- 一种优惠信息确定装置,其特征在于,包括:历史数据获取模块,用于获取目标用户针对优惠信息提供方的历史行为数据;有益数据获取模块,用于从所述历史行为数据中查询所述目标用户针对所述优惠信息提供方的有益行为数据;目标优惠信息计算模块,用于根据所述有益行为数据,确定所述优惠信息提供方为所述目标用户提供的目标优惠信息。
- 一种电子设备,包括:存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序,其特征在于,所述处理器运行所述计算机程序时执行以实现如权利要求1-7任一项所述的方法。
- 一种计算机可读介质,其特征在于,其上存储有计算机可读指令,所述计算机可读指令可被处理器执行以实现如权利要求1-7任一项所述的方法。
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CN201911061865.8 | 2019-11-01 | ||
CN201911061865.8A CN110852798A (zh) | 2018-12-30 | 2019-11-01 | 优惠信息确定方法、装置、电子设备及介质 |
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CN109741107A (zh) * | 2018-12-30 | 2019-05-10 | 上海掌门科技有限公司 | 优惠信息确定方法、装置、电子设备及介质 |
CN111292169B (zh) * | 2020-02-11 | 2023-10-24 | 拉扎斯网络科技(上海)有限公司 | 活动信息的展示方法及装置 |
JP2021165899A (ja) * | 2020-04-06 | 2021-10-14 | トヨタ自動車株式会社 | 情報処理装置、情報処理プログラム及び情報処理システム |
CN111507773A (zh) * | 2020-04-22 | 2020-08-07 | 深圳市元征科技股份有限公司 | 优惠券管理方法、装置及存储介质 |
CN111709772A (zh) * | 2020-05-22 | 2020-09-25 | 深圳市元征科技股份有限公司 | 一种用户管理方法、用户管理装置及服务器 |
CN112202575A (zh) * | 2020-09-27 | 2021-01-08 | 北京金山云网络技术有限公司 | 云计算资源的计费数据处理方法及装置 |
CN114821893A (zh) * | 2022-04-20 | 2022-07-29 | 上海商汤智能科技有限公司 | 物品信息的调整方法、装置、电子设备及存储介质 |
CN116489419B (zh) * | 2023-06-16 | 2023-08-18 | 上海云梯信息科技有限公司 | 面向目标用户终端集合的信息推送方法及系统 |
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