WO2018201955A1 - 活动信息推送方法、系统、服务器和存储介质 - Google Patents

活动信息推送方法、系统、服务器和存储介质 Download PDF

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WO2018201955A1
WO2018201955A1 PCT/CN2018/084569 CN2018084569W WO2018201955A1 WO 2018201955 A1 WO2018201955 A1 WO 2018201955A1 CN 2018084569 W CN2018084569 W CN 2018084569W WO 2018201955 A1 WO2018201955 A1 WO 2018201955A1
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customer
area
activity
address
policy data
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French (fr)
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许彦锐
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Ping An Technology Shenzhen Co Ltd
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Ping An Technology Shenzhen Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0255—Targeted advertisements based on user history
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0261—Targeted advertisements based on user location
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0269—Targeted advertisements based on user profile or attribute
    • G06Q30/0271—Personalized advertisement
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance

Definitions

  • the application relates to an activity information pushing method, system, server and storage medium.
  • Insurance has become a common security mechanism in people's daily lives.
  • insurance companies usually offer a variety of activities to customers, such as health knowledge lectures and vehicle maintenance.
  • activities launched by the insurance company there may be some customers who are not interested, and there may be customers who are interested in the activity but refuse to participate because the event address is far away. If an invitation to the event is sent to these customers, the actual number of customers participating in the event is much lower than expected, which results in a lower success rate for the event invitation. Therefore, how to effectively improve the success rate of event invitations has become a technical problem that needs to be solved.
  • an active push method, system, server, and storage medium are provided.
  • An activity information pushing method includes:
  • Obtaining activity information including an event address and an activity theme
  • An activity information pushing system comprising:
  • a server configured to obtain activity information, where the activity information includes an activity address and an activity topic; query an area name corresponding to the activity address, and obtain policy data corresponding to the area name, where the policy data includes a customer identifier and a customer interest An event; performing a big data analysis on a customer interest event corresponding to the plurality of customer identifiers, obtaining a plurality of customer identifiers in which the customer interest event in the area matches the activity theme; and transmitting the activity information to the plurality of Customer terminal corresponding to the customer ID; and
  • the client terminal is configured to receive the activity information, and upload the registration information to the server according to the activity information.
  • a server comprising a memory and one or more processors, the memory storing computer readable instructions, the computer readable instructions being executed by the processor, causing the one or more processors to perform the following step:
  • Obtaining activity information including an event address and an activity theme
  • One or more non-transitory computer readable storage mediums storing computer readable instructions, when executed by one or more processors, cause one or more processors to perform the steps of:
  • Obtaining activity information including an event address and an activity theme
  • FIG. 1 is an application environment diagram of an activity information pushing method in an embodiment
  • FIG. 2 is a flow chart of a method for pushing an activity information in an embodiment
  • FIG. 3 is a block diagram of an activity information push system in an embodiment
  • Figure 4 is a block diagram of a server in one embodiment.
  • the activity information pushing method provided in the embodiment of the present application can be applied to an application environment as shown in FIG. 1.
  • the server 102 is connected to a plurality of client terminals 104 via a network.
  • the server 102 is connected to the management terminal 106 via a network.
  • the event organizer uploads the planned organization's activities to the server through the management terminal 106.
  • the server 102 obtains corresponding event information, which includes an event address and an activity topic.
  • the server queries the area in which the activity is held based on the active address.
  • the server 102 obtains policy data in the area, and the policy data includes a customer identification and a customer interest event.
  • the server 102 performs big data analysis on the customer interest events corresponding to the plurality of customer identifiers in the area, and selects a plurality of customer identifiers in the area that match the customer interest event with the activity theme.
  • the server 102 records the filtered customer identification as an invitation object, and transmits the activity information to the client terminal 104 of the plurality of invited objects. Since the event of interest of the inviting object matches the theme of the event, the event information is pushed to the inviting object, which can effectively improve the success rate of the event invitation.
  • an activity information pushing method is provided, which is applied to the server as an example, and specifically includes the following steps:
  • Step 202 Obtain activity information, where the activity information includes an activity address and an activity topic.
  • Step 204 Query an area corresponding to the active address, and obtain policy data in the area, where the policy data includes a customer identifier and a customer interest event.
  • the event organizer uploads the corresponding activity information to the server through the application on the management terminal.
  • the preset time period can be one month or half a month.
  • the activities to be organized in the preset time period can be one item or multiple items.
  • Event information includes event address, event theme, and event time.
  • the activity theme includes keywords for event information, such as health or vehicles.
  • the server queries the area in which the activity is held based on the active address.
  • the area can be an administrative area of a predetermined level under the administrative area level, such as streets, communities, and villages.
  • the server obtains the policy data in the database, obtains the customer address according to the policy data, and identifies the area where the customer address falls. For the customer address that falls within the area corresponding to the active address, the server marks the policy data corresponding to the customer address as the policy data in the area, thereby obtaining all the policy data in the area corresponding to one active address.
  • the policy data includes policy identification, insurance type, customer age, customer gender, and customer interest events. Events of interest can include education, accidents, disasters, illness, health, loans, and vehicles.
  • Step 206 Perform big data analysis on the customer interest events corresponding to the plurality of customer identifiers, and obtain a plurality of customer identifiers in the region that match the customer interest event with the activity theme.
  • Step 208 Send the activity information to the client terminal corresponding to the plurality of customer identifiers.
  • the server performs big data analysis on the event of interest of the customer corresponding to multiple customer identifiers in the area.
  • the server may extract keywords of events of interest to the client for cluster analysis.
  • Cluster analysis can use K-means clustering algorithm and so on.
  • K-means clustering algorithm K-means clustering algorithm and so on.
  • the server After filtering the customer identifier that matches the event of interest to the activity theme, the server sends the activity information to the client terminal corresponding to the plurality of customer identifiers. Since the selected customers are interested in this event and are the customers in the event area, it can be regarded as the event invitation to effectively increase the invitation success rate.
  • the area in which the activity is held is queried according to the activity address in the activity information, and then the policy data in the area is acquired.
  • the policy data in the area is acquired.
  • the client terminal displays the event message pushed by the server and displays it on the interface.
  • the client terminal sends a registration request to the server through the application, where the registration request carries the customer identifier, the client terminal identifier, and the application identifier.
  • the server stores the customer identifier, the client terminal identifier, and the application identifier in the customer information table.
  • the server filters out the invitation object, the server reads the client terminal identifier and the application identifier in the customer information table according to the invitation object, and pushes the activity message to the client terminal according to the client terminal identifier and the application identifier.
  • the client terminal displays the activity information on the interface after the interface of the application is opened. This allows customers to keep abreast of event messages.
  • steps in the flowchart of FIG. 2 are sequentially displayed as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Except as explicitly stated herein, the execution of these steps is not strictly limited, and the steps may be performed in other orders. Moreover, at least some of the steps in FIG. 2 may include a plurality of sub-steps or stages, which are not necessarily performed at the same time, but may be executed at different times, the execution of these sub-steps or stages The order is also not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of the other steps.
  • the method further includes: recording the customer identifier matching the customer interest event in the region with the activity theme as the invitation object; Invite the object to perform statistics, get the number of invited objects; determine whether the number of invited objects is less than the expected number of participants; if so, generate prompt information.
  • each event will have a corresponding expected number of participants.
  • the server After the server performs big data analysis on the customers in the area, it will get the customer IDs that match the customer's interest events and activity topics in the area.
  • the server records the customer identification that matches the customer's interest event with the activity theme as the invitation object, and counts the invitation object to obtain the number of invitation objects. Since there may be some customers who refuse to participate in the event, when the number of invited participants is less than the expected number of participants, it is assumed that the activities are held as scheduled, but due to the small number of actual participants, it is difficult to achieve the intended purpose of the activities. Therefore, when the server determines that the number of invited objects is less than the expected number of participants, a prompt message is generated. So that the event organizer can adjust the activity in time.
  • the server may also calculate the number of invited objects in the plurality of areas adjacent to the area. If the number of guests in an adjacent area is greater than the expected number of participants, the server can generate a prompt.
  • the prompt information may be a suggestion to change the activity address to a certain area, etc., so that the activity organization can adjust the activity in time to avoid the event failure.
  • the step of acquiring policy data in the area includes: obtaining an area boundary of the area corresponding to the active address in the electronic map; acquiring policy data in the database, the policy data including the customer address; and converting the customer address into the geographic coordinate
  • the customer address falling within the area is identified according to the regional boundary and the geographic coordinates; the policy data corresponding to the customer address falling within the area is marked as the policy data in the area.
  • the policy data can be extracted by means of an electronic map.
  • the electronic map may be an electronic map provided by a third party, for example, a Baidu map or the like.
  • the server obtains the area boundary of the area in the electronic map.
  • the area boundary includes multiple geographic coordinates. Geographic coordinates can include longitude and latitude. Multiple geographic coordinates of the area boundary are stored in the database. Geographic coordinates of multiple region boundaries can be stored in the database.
  • the server obtains policy data in the database, and the policy data includes the customer address.
  • the server translates the customer address into geographic coordinates in the electronic map based on the textual description in the customer's address.
  • the server can use the closed region boundary as a separate object to establish a geo-location index.
  • the server uses the geolocation index to retrieve the area where the customer address falls, and obtains the correspondence between the customer address and the area.
  • the server uses the correspondence to identify all customer addresses in the area corresponding to the active address.
  • the server marks the policy data corresponding to the customer address falling within the area as policy data in the area. This allows for quick and accurate extraction of all policy data in the area. Since the policy data is extracted according to the area boundary, it is possible to effectively avoid the situation in which the policy data in the area is missed.
  • the method further includes: querying the life service information in the preset range according to the geographic coordinates corresponding to the customer address; screening the life service information according to the customer interest event; and pushing the filtered life service information to the client terminal.
  • the server can also push life service information to customers, such as store discount information and restaurant discount information.
  • the server can use the web crawler technology to extract the life service information in multiple forums, and perform cluster analysis on the extracted life service information. For example, the server can perform cluster analysis according to the type of life service information.
  • the server converts the text description of the customer address into geographic coordinates in the electronic map, and identifies a plurality of life service information corresponding to the customer address.
  • the server may also use the customer interest event to filter the clustered life service information, and push the filtered life service information to the client terminal. This can provide customers with more accurate life service information.
  • Activity information and life service information can be collectively referred to as service information.
  • the server can adopt a server cluster, the database can adopt a database cluster, and the database cluster includes multiple databases.
  • the server can configure different data for different applications.
  • the server can also configure different databases for different regions according to the distribution of application users.
  • the registration information sent by the client terminal and the service information that needs to be pushed to the client terminal may be stored in different databases according to the application identifier.
  • the server cluster obtains service information in different databases and sends them to multiple client terminals.
  • the server cluster can also send the service information in batches.
  • the server cluster obtains multiple customer identifiers, client terminal identifiers, and application identifiers.
  • the server cluster copies the service information according to the number of customer identifiers, and pushes the copied service information to the client terminal in batches according to the client terminal identifier and the application identifier. Thereby, the push efficiency of the service information can be effectively improved.
  • the method further includes: after the customer participates in the activity, receiving the customer motion data uploaded by the client terminal; if there is a pre-corresponding to the customer motion data If a rule is set, the premium discount is obtained according to the preset rule, and the premium corresponding to the customer identifier is calculated according to the premium discount.
  • the client terminal may upload the registration information to the server according to the activity message.
  • the user can exercise according to the activity content, and the client terminal collects the customer motion data through the running application, and uploads the customer motion data to the server.
  • the server obtains the policy insurance that the customer has insured according to the customer identification. If the policy type covered by the customer includes insurance types related to health, illness or death, the server compares the received customer motion data with a plurality of pre-stored preset rules. If there is a preset rule corresponding to the customer motion data item, the server acquires a corresponding premium discount according to the preset rule. The server calculates the next premium corresponding to the customer ID based on the premium discount. As the more the customer moves, the healthier the body will be. The insurance policy will reduce the probability of claim settlement, which can effectively reduce the insurance company's claim risk.
  • an activity information push system including: a server 302 and a client terminal 304, wherein:
  • the server 302 is configured to obtain activity information, where the activity information includes an activity address and an activity theme; query an area name corresponding to the activity address, obtain policy data corresponding to the area name, the policy data includes a customer identifier and a customer interest event; and multiple customer identifiers Corresponding customer interest events are analyzed by big data, and a plurality of customer identifiers in which the customer interest events in the region match the activity theme are obtained; the activity information is sent to the client terminals corresponding to the plurality of customer identifiers.
  • the client terminal 304 is configured to receive activity information, and upload the registration information to the server according to the activity information.
  • the server 302 is further configured to obtain an area boundary of the area corresponding to the active address in the electronic map; obtain policy data in the database, the policy data includes a customer address; convert the customer address into a geographic coordinate, according to the area boundary and The geographic coordinates identify the customer address that falls within the area; the policy data corresponding to the customer address that falls within the area is marked as policy data within the area.
  • the server 302 is further configured to query the living service information in the preset range according to the geographic coordinates corresponding to the customer address; filter the living service information according to the customer interest event; and push the filtered life service information to the client.
  • Terminal 304 is further configured to query the living service information in the preset range according to the geographic coordinates corresponding to the customer address; filter the living service information according to the customer interest event; and push the filtered life service information to the client.
  • the client terminal 304 is further configured to send a registration request to the server 302 through the application; the registration request carries the client terminal identifier and the application identifier; and the server 302 is further configured to perform the activity according to the client terminal identifier and the application identifier.
  • the information is pushed to the client terminal 304 corresponding to the plurality of customer identifiers.
  • the client terminal 304 is further configured to collect customer motion data after the customer participates in the activity, and upload the customer motion data to the server 302.
  • the server 302 is further configured to obtain a plurality of preset rules, if there is a corresponding to the customer motion data.
  • the preset rule obtains the premium discount according to the preset rule, and calculates the premium corresponding to the customer identifier according to the premium discount.
  • a server including a processor coupled via a system bus, memory, computer readable instructions stored on the memory and executable on the processor, and a network interface Wait.
  • the processor is used to provide calculation and control capabilities.
  • the memory of the server includes a non-volatile storage medium and an internal memory.
  • the non-volatile storage medium stores an operating system, computer readable instructions, and a database.
  • the internal memory provides an environment for operation of an operating system and computer readable instructions in a non-volatile storage medium.
  • the non-volatile storage medium can be a non-transitory computer readable storage medium.
  • An activity information push method is implemented when the processor executes computer readable instructions.
  • the network interface is used to communicate with the client terminal over a network connection.
  • the server can be implemented as a standalone server or a server cluster consisting of multiple servers. It will be understood by those skilled in the art that the structure shown in FIG. 4 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the server to which the solution of the present application is applied.
  • the specific server may include a ratio. More or fewer components are shown in the figures, or some components are combined, or have different component arrangements.
  • a server comprising a memory and one or more processors having stored therein computer readable instructions that, when executed by a processor, cause one or more processors to perform the above The steps in the various method embodiments.
  • non-volatile storage media having computer readable instructions that, when executed by one or more processors, cause one or more processors to perform each of The steps in the method embodiments.
  • Non-volatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory.
  • Volatile memory can include random access memory (RAM) or external cache memory.
  • RAM is available in a variety of formats, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronization chain.
  • SRAM static RAM
  • DRAM dynamic RAM
  • SDRAM synchronous DRAM
  • DDRSDRAM double data rate SDRAM
  • ESDRAM enhanced SDRAM
  • Synchlink DRAM SLDRAM
  • Memory Bus Radbus
  • RDRAM Direct RAM
  • DRAM Direct Memory Bus Dynamic RAM
  • RDRAM Memory Bus Dynamic RAM

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Abstract

一种活动信息推送方法，包括：获取活动信息，活动信息包括活动地址和活动主题；查询活动地址对应的区域，获取区域内的保单数据，保单数据包括客户标识和客户感兴趣事件；对多个客户标识对应的客户感兴趣事件进行大数据分析，得到区域内的客户感兴趣事件与活动主题相匹配的多个客户标识；将活动信息发送至多个客户标识对应的客户终端。

Description

活动信息推送方法、系统、服务器和存储介质
本申请要求于2017年5月4日提交中国专利局，申请号为2017103172709，申请名称为“活动信息推送方法、系统、服务器和介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及一种活动信息推送方法、系统、服务器和存储介质。
背景技术
保险目前已成为人们日常生活中常见的一种保障机制。为了更好的为客户提供保险服务，保险公司通常会向客户推出多种活动，例如，健康知识讲座和车辆保养等。对于保险公司推出的活动，很可能存在不感兴趣的部分客户，也可能存在虽然对活动感兴趣但由于活动地址较远而拒绝参加的客户。如果向这些客户发出了活动邀请，实际参加活动的客户数量要远远低于预期数量，这会导致活动邀请的成功率较低。因此如何有效提高活动邀请的成功率成为目前需要解决的一个技术问题。
发明内容
根据本申请公开的各种实施例，提供一种活动推送方法、系统、服务器和存储介质。
一种活动信息推送方法，包括：
获取活动信息，所述活动信息包括活动地址和活动主题；
查询所述活动地址对应的区域，获取所述区域内的保单数据，所述保单数据包括客户标识和客户感兴趣事件；
对多个客户标识对应的客户感兴趣事件进行大数据分析，得到所述区域内的客户感兴趣事件与活动主题相匹配的多个客户标识；及
将所述活动信息发送至所述多个客户标识对应的客户终端。
一种活动信息推送系统，包括：
服务器，用于获取活动信息，所述活动信息包括活动地址和活动主题；查询所述活动地址对应的区域名称，获取所述区域名称对应的保单数据，所述保单数据包括客户标识和客户感兴趣事件；对多个客户标识对应的客户感兴趣事件进行大数据分析，得到所述区域内的客户感兴趣事件与活动主题相匹配的多个客户标识；将所述活动信息发送至所述多个客户标识对应的客户终端；及
客户终端，用于接收所述活动信息，根据所述活动信息向所述服务器上传报名信息。
一种服务器，包括存储器和一个或多个处理器，所述存储器中储存有计算机可读指令，所述计算机可读指令被所述处理器执行时，使得所述一个或多个处理器执行以下步骤：
获取活动信息，所述活动信息包括活动地址和活动主题；
查询所述活动地址对应的区域，获取所述区域内的保单数据，所述保单数据包括客户标识和客户感兴趣事件；
对多个客户标识对应的客户感兴趣事件进行大数据分析，得到所述区域内的客户感兴趣事件与活动主题相匹配的多个客户标识；及
将所述活动信息发送至所述多个客户标识对应的客户终端。
一个或多个存储有计算机可读指令的非易失性计算机可读存储介质，计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器执行以下步骤：
获取活动信息，所述活动信息包括活动地址和活动主题；
查询所述活动地址对应的区域，获取所述区域内的保单数据，所述保单数据包括客户标识和客户感兴趣事件；
对多个客户标识对应的客户感兴趣事件进行大数据分析，得到所述区域内的客户感兴趣事件与活动主题相匹配的多个客户标识；及
将所述活动信息发送至所述多个客户标识对应的客户终端。
本申请的一个或多个实施例的细节在下面的附图和描述中提出。本申请的其它特征和优点将从说明书、附图以及权利要求书变得明显。
附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其它的附图。
图1为一个实施例中活动信息推送方法的应用环境图；
图2为一个实施例中活动信息推送方法的流程图；
图3为一个实施例中活动信息推送系统的框图；
图4为一个实施例中服务器的框图。
具体实施方式
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。
本申请实施例中所提供的活动信息推送方法可以应用于如图1所示的应用环境中。其中，服务器102通过网络与多个客户终端104进行连接。服务器102通过网络与管理终端106进行连接。活动组织方通过管理终端106向服务器上传计划组织的活动。对于预设时间段内将要组织的活动，服务器102获取相应的活动信息，活动信息包括活动地址和活动主题。服务器根据活动地址查询举行活动的区域。服务器102获取该区域内的保单数据，保单数据包括客户标识和客户感兴趣事件等。服务器102对该区域内的多个客户标识对应的客户感兴趣事件进行大数据分析，筛选出该区域内客户感兴趣事件与活动主题相匹配的多个客户标识。服务器102将筛选出的客户标识记录为邀 请对象，将活动信息发送至多个邀请对象的客户终端104。由于邀请对象的感兴趣事件与活动主题相匹配，因此将活动信息推送给邀请对象，能够有效提高活动邀请的成功率。
在一个实施例中，如图2所示，提供了一种活动信息推送方法，以该方法应用于服务器为例进行说明，具体包括以下步骤：
步骤202，获取活动信息，活动信息包括活动地址和活动主题。
步骤204，查询活动地址对应的区域，获取区域内的保单数据，保单数据包括客户标识和客户感兴趣事件。
对于预设时间段内将要组织的活动，活动组织方通过管理终端上的应用程序将相应的活动信息上传给服务器。预设时间段可以是一个月，也可以是半个月等。预设时间段内将要组织的活动可以是一项也可以是多项。活动信息包括活动地址、活动主题和活动时间等。活动主题中包括了活动信息的关键字，例如，健康或车辆等。
服务器根据活动地址查询举行活动的区域。区域可以是行政区域层级下的预设级别的行政区域，例如街道、社区和村等。服务器在数据库中获取保单数据，根据保单数据获取客户地址，识别客户地址落入的区域。对于落入活动地址对应的区域内的客户地址，服务器将该客户地址对应的保单数据标记为该区域内的保单数据，由此可以获取到一个活动地址对应的区域内所有的保单数据。保单数据除了客户地址之外，还包括保单标识、险种、客户年龄、客户性别、客户感兴趣事件。感兴趣事件可以包括教育、意外、灾害、疾病、健康、贷款以及车辆等。
步骤206，对多个客户标识对应的客户感兴趣事件进行大数据分析，得到区域内的客户感兴趣事件与活动主题相匹配的多个客户标识。
步骤208，将活动信息发送至多个客户标识对应的客户终端。
服务器对该区域内的多个客户标识对应的客户感兴趣事件进行大数据分析。具体的，服务器可以提取客户感兴趣事件的关键字进行聚类分析。聚类分析可以采用K-means聚类算法等。通过对客户感兴趣事件的关键字进行聚 类分析，得到该区域内客户感兴趣事件与活动主题相匹配的多个客户标识。由此可以在本区域内众多客户中筛选出对本次活动感兴趣的多个客户。服务器在筛选出客户感兴趣事件与活动主题相匹配的客户标识之后，将活动信息分别发送至多个客户标识对应的客户终端。由于筛选出的客户对本次活动是感兴趣的，而且是活动举办区域内的客户，因此将其视为活动邀请对象可以有效提高邀请成功率。
本实施例中，根据活动信息中的活动地址来查询举办活动的区域，继而获取该区域内的保单数据。通过对保单数据中的客户感兴趣事件进行大数据分析，可以得到该区域内客户感兴趣事件与活动主题相匹配的多个客户标识。由此在一个区域内众多客户中能够精准的筛选出活动的邀请对象。由于邀请对象的感兴趣事件与活动主题相匹配，因此将活动信息推送给邀请对象，能够有效提高活动邀请的成功率。
进一步的，为了便于客户能及时查看活动信息，客户终端接收到服务器推送的活动消息后在界面上进行展示。在其中一个实施例中，客户终端在安装完应用程序之后，通过应用程序向服务器发送注册请求，注册请求中携带了客户标识、客户终端标识和应用程序标识。服务器接收到注册请求后，将客户标识、客户终端标识和应用程序标识对应存储在客户信息表中。当服务器筛选出邀请对象时，服务器根据邀请对象在客户信息表中读取客户终端标识和应用程序标识，根据客户终端标识和应用程序标识将活动消息推送至客户终端。客户终端在接收到活动消息之后，当应用程序的界面打开之后，在界面上展示该活动信息。由此可以使得客户能及时了解活动消息。
应该理解的是，虽然图2的流程图中的各个步骤按照箭头的指示依次显示，但是这些步骤并不是必然按照箭头指示的顺序依次执行。除非本文中有明确的说明，这些步骤的执行并没有严格的顺序限制，这些步骤可以以其它的顺序执行。而且，图2中的至少一部分步骤可以包括多个子步骤或者多个阶段，这些子步骤或者阶段并不必然是在同一时刻执行完成，而是可以在不同的时刻执行，这些子步骤或者阶段的执行顺序也不必然是依次进行，而是 可以与其它步骤或者其它步骤的子步骤或者阶段的至少一部分轮流或者交替地执行。
在一个实施例中，在对多个客户标识对应的客户感兴趣事件进行大数据分析的步骤之后，还包括：将区域内客户感兴趣事件与活动主题相匹配的客户标识记录为邀请对象；对邀请对象进行统计，得到邀请对象数量；判断邀请对象数量是否小于预期参与人数；若是，则生成提示信息。
为了达到举办活动的目的，每场活动都会有相应的预期参与人数。服务器对本区域内的客户进行大数据分析之后，会得到该区域内客户感兴趣事件与活动主题相匹配的客户标识。服务器将客户感兴趣事件与活动主题相匹配的客户标识记录为邀请对象，并且对邀请对象进行统计，得到邀请对象数量。由于邀请对象中还可能会存在部分拒绝参加活动的客户，当邀请对象数量小于预期参与人数时，假设活动如期举行，但是由于实际参与人数较少，也很难达到活动的预期目的。因此，当服务器判定邀请对象数量小于预期参与人数时，会生成提示信息。以便活动组织方能够及时对活动进行调整。
进一步的，当活动地址对应的区域内的邀请对象数量小于预期参与人数时，服务器还可以计算与该区域相邻的多个区域内的邀请对象数量。若某个相邻区域中的邀请对象数量大于预期参与人数，服务器可以生成提示信息。例如，提示信息可以是建议更改活动地址到某区域等，以便活动组织方能及时对活动进行调整，避免活动失败的情形。
在一个实施例中，获取区域内的保单数据的步骤包括：获取活动地址对应的区域在电子地图中的区域边界；获取数据库中的保单数据，保单数据包括客户地址；将客户地址转换为地理坐标，根据区域边界和地理坐标识别落入区域内的客户地址；将落入区域内的客户地址对应的保单数据标记为区域内的保单数据。
本实施例中，为了确保能够提取到活动地址对应的区域内所有的保单数据，可以借助于电子地图来提取保单数据。电子地图可以是第三方提供的电子地图，例如，百度地图等。服务器获取该区域在电子地图中的区域边界。 区域边界包括多个地理坐标。地理坐标可以包括经度和纬度。数据库中存储了区域边界的多个地理坐标。数据库中可以存储多个区域边界的地理坐标。
服务器在数据库中获取保单数据，保单数据中包括客户地址。服务器根据客户地址中的文字描述将客户地址转换为电子地图中的地理坐标。服务器可以利用闭合的区域边界作为单独的对象，建立地理位置索引。服务器利用地理位置索引检索客户地址所落入的区域，得到客户地址与区域的对应关系。服务器利用该对应关系，识别出落入活动地址对应的区域内所有的客户地址。服务器将落入该区域内的客户地址对应的保单数据标记为该区域内的保单数据。由此可以快速准确的提取到该区域内所有的保单数据。由于保单数据时根据区域边界来提取的，因此能够有效避免区域内的保单数据被遗漏的情形。
在一个实施例中，该方法还包括：根据客户地址对应的地理坐标查询预设范围内的生活服务信息；根据客户感兴趣事件对生活服务信息进行筛选；将筛选后的生活服务信息推送至客户终端。
服务器除了向客户推送活动消息之外，还可以向客户推送生活服务信息，例如，商场优惠信息和餐厅折扣信息等。服务器可以利用网络爬虫技术在多个论坛中提取生活服务信息，对提取到的生活服务信息进行聚类分析。例如，服务器可以按照生活服务信息的类型进行聚类分析。服务器将客户地址的文字描述转换为电子地图中的地理坐标，识别出客户地址对应的多项生活服务信息。服务器还可以利用客户感兴趣事件对聚类后的生活服务信息进行筛选，将筛选后的生活服务信息推送至客户终端。由此能够为客户提供更精准的生活服务信息。
活动信息和生活服务信息可以统称为服务信息。面对海量的服务信息，为了有效避免发送延迟的问题，服务器可以采用服务器集群，数据库可以采用数据库集群，数据库集群包括多个数据库。服务器可以为不同的应用程序配置不同的数据。服务器还可以根据应用程序使用者的分布情况，对不同地区配置不同的数据库。客户终端发送的注册信息以及需要推送给客户终端的服务信息可以按照应用程序标识分别存储在不同的数据库中。服务器集群获 取不同数据库中的服务信息分别发送至多个客户终端。
进一步的，服务器集群还可以对服务信息进行批量发送。服务器集群获取多个客户标识、客户终端标识和应用程序标识，服务器集群按照客户标识的数量对服务信息进行复制，将复制后的服务信息根据客户终端标识和应用程序标识批量推送至客户终端。由此能够有效提高服务信息的推送效率。
在一个实施例中，在将活动信息发送至多个客户标识对应的客户终端的步骤之后，还包括：在客户参加活动后，接收客户终端上传的客户运动数据；若存在与客户运动数据对应的预设规则，则根据预设规则获取保费折扣，根据保费折扣计算客户标识对应的保费。
本实施例中，服务器向客户终端推送活动消息之后，客户终端可以根据活动消息向服务器上传报名信息。客户参加活动后，可以根据活动内容进行运动，客户终端通过运行的应用程序采集客户运动数据，并且将客户运动数据上传至服务器。服务器根据客户标识获取客户已投保的保单险种。若客户已投保的保单险种包括与健康、疾病或死亡等相关的保险类型，则服务器将接收到的客户运动数据与预先存储的多项预设规则进行比对。如果存在与客户运动数据项对应的预设规则，则服务器根据该预设规则获取对应的保费折扣。服务器根据保费折扣计算客户标识对应的下一期保费。由于客户运动越多，身体会越健康，上述保险类型的保单发生理赔的几率就会下降，从而可以有效降低保险公司的理赔风险。
在一个实施例中，如图3所示，提供了一种活动信息推送系统，包括：服务器302和客户终端304，其中：
服务器302，用于获取活动信息，活动信息包括活动地址和活动主题；查询活动地址对应的区域名称，获取区域名称对应的保单数据，保单数据包括客户标识和客户感兴趣事件；对多个客户标识对应的客户感兴趣事件进行大数据分析，得到区域内的客户感兴趣事件与活动主题相匹配的多个客户标识；将活动信息发送至多个客户标识对应的客户终端。
客户终端304，用于接收活动信息，根据活动信息向服务器上传报名信息。
在一个实施例中，服务器302还用于获取活动地址对应的区域在电子地图中的区域边界；获取数据库中的保单数据，保单数据包括客户地址；将客户地址转换为地理坐标，根据区域边界和地理坐标识别落入区域内的客户地址；将落入区域内的客户地址对应的保单数据标记为区域内的保单数据。
在一个实施例中，服务器302还用于根据客户地址对应的地理坐标查询预设范围内的生活服务信息；根据客户感兴趣事件对生活服务信息进行筛选；将筛选后的生活服务信息推送至客户终端304。
在一个实施例中，客户终端304还用于通过应用程序向服务器302发送注册请求；注册请求中携带了客户终端标识和应用程序标识；服务器302还用于根据客户终端标识和应用程序标识将活动信息推送至多个客户标识对应的客户终端304。
在一个实施例中，客户终端304还用于在客户参加活动之后采集客户运动数据，将客户运动数据上传至服务器302；服务器302还用于获取多项预设规则，若存在与客户运动数据对应的预设规则，则根据预设规则获取保费折扣，根据保费折扣计算客户标识对应的保费。
在一个实施例中，提供了一种服务器，如图4所示，该服务器包括通过系统总线连接的处理器、存储器、存储在存储器上并可在处理器上运行的计算机可读指令以及网络接口等。其中，处理器用于提供计算和控制能力。该服务器的存储器包括非易失性存储介质、内存储器。该非易失性存储介质存储有操作系统、计算机可读指令和数据库。该内存储器为非易失性存储介质中的操作系统和计算机可读指令的运行提供环境。非易失性存储介质可以是非易失性计算机可读存储介质。处理器执行计算机可读指令时实现一种活动信息推送方法。网络接口用于据以与客户终端通过网络连接通信。该服务器可以用独立的服务器或者是多个服务器组成的服务器集群来实现。本领域技术人员可以理解，图4中示出的结构，仅仅是与本申请方案相关的部分结构 的框图，并不构成对本申请方案所应用于其上的服务器的限定，具体的服务器可以包括比图中所示更多或更少的部件，或者组合某些部件，或者具有不同的部件布置。
在一个实施例中，提供了一种服务器，包括存储器和一个或多个处理器，存储器中储存有计算机可读指令，计算机可读指令被处理器执行时，使得一个或多个处理器执行上述各个方法实施例中的步骤。
在一个实施例中，提供了一个或多个存储有计算机可读指令的非易失性存储介质，计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器执行上述各个方法实施例中的步骤。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机可读指令来指令相关的硬件来完成，所述的计算机可读指令可存储于一非易失性计算机可读取存储介质中，该计算机可读指令在执行时，可包括如上述各方法的实施例的流程。其中，本申请所提供的各实施例中所使用的对存储器、存储、数据库或其它介质的任何引用，均可包括非易失性、易失性存储器。非易失性存储器可包括只读存储器(ROM)、可编程ROM(PROM)、电可编程ROM(EPROM)、电可擦除可编程ROM(EEPROM)或闪存。易失性存储器可包括随机存取存储器(RAM)或者外部高速缓冲存储器。作为说明而非局限，RAM以多种形式可得，诸如静态RAM(SRAM)、动态RAM(DRAM)、同步DRAM(SDRAM)、双数据率SDRAM(DDRSDRAM)、增强型SDRAM(ESDRAM)、同步链路(Synchlink)DRAM(SLDRAM)、存储器总线(Rambus)直接RAM(RDRAM)、直接存储器总线动态RAM(DRDRAM)、以及存储器总线动态RAM(RDRAM)等。
以上所述实施例的各技术特征可以进行任意的组合，为使描述简洁，未对上述实施例中的各个技术特征所有可能的组合都进行描述，然而，只要这些技术特征的组合不存在矛盾，都应当认为是本说明书记载的范围。
以上所述实施例仅表达了本申请的几种实施方式，其描述较为具体和详细，但并不能因此而理解为对发明专利范围的限制。应当指出的是，对于本 领域的普通技术人员来说，在不脱离本申请构思的前提下，还可以做出若干变形和改进，这些都属于本申请的保护范围。因此，本申请专利的保护范围应以所附权利要求为准。

Claims (20)

  1. 一种活动信息推送方法，包括：
    获取活动信息，所述活动信息包括活动地址和活动主题；
    查询所述活动地址对应的区域，获取所述区域内的保单数据，所述保单数据包括客户标识和客户感兴趣事件；
    对多个客户标识对应的客户感兴趣事件进行大数据分析，得到所述区域内的客户感兴趣事件与活动主题相匹配的多个客户标识；及
    将所述活动信息发送至所述多个客户标识对应的客户终端。
  2. 根据权利要求1所述的方法，其特征在于，所述获取所述区域内的保单数据包括：
    获取所述活动地址对应的区域在电子地图中的区域边界；
    获取数据库中的保单数据，所述保单数据包括客户地址；
    将所述客户地址转换为地理坐标，根据所述区域边界和地理坐标识别落入所述区域内的客户地址；及
    将落入所述区域内的客户地址对应的保单数据标记为所述区域内的保单数据。
  3. 根据权利要求2所述的方法，其特征在于，所述方法还包括：
    根据所述客户地址对应的地理坐标查询预设范围内的生活服务信息；
    根据所述客户感兴趣事件对所述生活服务信息进行筛选；及
    将筛选后的生活服务信息推送至客户终端。
  4. 根据权利要求1所述的方法，其特征在于，在所述对多个客户标识对应的客户感兴趣事件进行大数据分析之后，所述方法还包括：
    将所述区域内客户感兴趣事件与活动主题相匹配的客户标识记录为邀请对象；
    对所述邀请对象进行统计，得到邀请对象数量；
    当所述邀请对象数量是否小于预期参与人数时，生成提示信息。
  5. 根据权利要求1所述的方法，其特征在于，在所述将所述活动信息发 送至所述多个客户标识对应的客户终端之后，所述方法还包括：
    在客户参加活动后，接收客户终端上传的客户运动数据；及
    当存在与所述客户运动数据对应的预设规则时，根据所述预设规则获取所述保费折扣，根据所述保费折扣计算所述客户标识对应的保费。
  6. 一种活动信息推送系统，包括：
    服务器，用于获取活动信息，所述活动信息包括活动地址和活动主题；查询所述活动地址对应的区域名称，获取所述区域名称对应的保单数据，所述保单数据包括客户标识和客户感兴趣事件；对多个客户标识对应的客户感兴趣事件进行大数据分析，得到所述区域内的客户感兴趣事件与活动主题相匹配的多个客户标识；将所述活动信息发送至所述多个客户标识对应的客户终端；及
    客户终端，用于接收所述活动信息，根据所述活动信息向所述服务器上传报名信息。
  7. 根据权利要求6所述的系统，其特征在于，所述服务器还用于获取所述区域名称在电子地图中的区域边界；获取数据库中的保单数据，所述保单数据包括客户地址；将所述客户地址转换为地理坐标，根据所述区域边界和地理坐标识别落入所述区域内的客户地址；及将落入所述区域内的客户地址对应的保单数据标记为所述区域内的保单数据。
  8. 根据权利要求7所述的系统，其特征在于，所述服务器还用于根据所述客户地址对应的地理坐标查询预设范围内的生活服务信息；根据所述客户感兴趣事件对所述生活服务信息进行筛选；及将筛选后的生活服务信息推送至客户终端。
  9. 根据权利要求6所述的系统，其特征在于，所述客户终端还用于通过应用程序向所述服务器发送注册请求；所述注册请求中携带了客户终端标识和应用程序标识；及所述服务器还用于根据客户终端标识和应用程序标识将活动信息推送至多个客户标识对应的客户终端。
  10. 根据权利要求6所述的系统，其特征在于，所述客户终端还用于在 客户参加活动之后采集客户运动数据，将所述客户运动数据上传至所述服务器；及所述服务器还用于获取多项预设规则，当存在与客户运动数据对应的预设规则时，根据预设规则获取保费折扣，根据保费折扣计算客户标识对应的保费。
  11. 一种服务器，包括存储器和一个或多个处理器，存储器中储存有计算机可读指令，所述计算机可读指令被处理器执行时，使得一个或多个处理器执行以下步骤：
    获取活动信息，所述活动信息包括活动地址和活动主题；
    查询所述活动地址对应的区域，获取所述区域内的保单数据，所述保单数据包括客户标识和客户感兴趣事件；
    对多个客户标识对应的客户感兴趣事件进行大数据分析，得到所述区域内的客户感兴趣事件与活动主题相匹配的多个客户标识；及
    将所述活动信息发送至所述多个客户标识对应的客户终端。
  12. 根据权利要求11所述的服务器，其特征在于，所述计算机可读指令被处理器执行时，使得一个或多个处理器还执行以下步骤：
    获取所述活动地址对应的区域在电子地图中的区域边界；
    获取数据库中的保单数据，所述保单数据包括客户地址；
    将所述客户地址转换为地理坐标，根据所述区域边界和地理坐标识别落入所述区域内的客户地址；及
    将落入所述区域内的客户地址对应的保单数据标记为所述区域内的保单数据。
  13. 根据权利要求12所述的服务器，其特征在于，所述计算机可读指令被处理器执行时，使得一个或多个处理器还执行以下步骤：
    根据所述客户地址对应的地理坐标查询预设范围内的生活服务信息；
    根据所述客户感兴趣事件对所述生活服务信息进行筛选；及
    将筛选后的生活服务信息推送至客户终端。
  14. 根据权利要求11所述的服务器，其特征在于，所述计算机可读指令 被处理器执行时，使得一个或多个处理器还执行以下步骤：
    将所述区域内客户感兴趣事件与活动主题相匹配的客户标识记录为邀请对象；
    对所述邀请对象进行统计，得到邀请对象数量；
    当所述邀请对象数量是否小于预期参与人数时，生成提示信息。
  15. 根据权利要求11所述的服务器，其特征在于，所述计算机可读指令被处理器执行时，使得一个或多个处理器还执行以下步骤：
    在客户参加活动后，接收客户终端上传的客户运动数据；及
    当存在与所述客户运动数据对应的预设规则时，根据所述预设规则获取所述保费折扣，根据所述保费折扣计算所述客户标识对应的保费。
  16. 一个或多个存储有计算机可读指令的非易失性存储介质，所述计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器执行以下步骤：
    获取活动信息，所述活动信息包括活动地址和活动主题；
    查询所述活动地址对应的区域，获取所述区域内的保单数据，所述保单数据包括客户标识和客户感兴趣事件；
    对多个客户标识对应的客户感兴趣事件进行大数据分析，得到所述区域内的客户感兴趣事件与活动主题相匹配的多个客户标识；及
    将所述活动信息发送至所述多个客户标识对应的客户终端。
  17. 根据权利要求16所述的存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器还执行以下步骤：
    获取所述活动地址对应的区域在电子地图中的区域边界；
    获取数据库中的保单数据，所述保单数据包括客户地址；
    将所述客户地址转换为地理坐标，根据所述区域边界和地理坐标识别落入所述区域内的客户地址；及
    将落入所述区域内的客户地址对应的保单数据标记为所述区域内的保单数据。
  18. 根据权利要求17所述的存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器还执行以下步骤：
    根据所述客户地址对应的地理坐标查询预设范围内的生活服务信息；
    根据所述客户感兴趣事件对所述生活服务信息进行筛选；及
    将筛选后的生活服务信息推送至客户终端。
  19. 根据权利要求16所述的存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器还执行以下步骤：
    将所述区域内客户感兴趣事件与活动主题相匹配的客户标识记录为邀请对象；
    对所述邀请对象进行统计，得到邀请对象数量；
    当所述邀请对象数量是否小于预期参与人数时，生成提示信息。
  20. 根据权利要求16所述的存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器还执行以下步骤：
    在客户参加活动后，接收客户终端上传的客户运动数据；及
    当存在与所述客户运动数据对应的预设规则时，根据所述预设规则获取所述保费折扣，根据所述保费折扣计算所述客户标识对应的保费。
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021027324A1 (zh) * 2019-08-14 2021-02-18 深圳壹账通智能科技有限公司 信息推送方法、装置、计算机设备和存储介质
CN116301734A (zh) * 2023-05-17 2023-06-23 安徽思高智能科技有限公司 Rpa流程资产库中流程推荐方法、装置及电子设备

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107798552B (zh) * 2017-05-04 2021-03-09 平安科技（深圳）有限公司 活动信息推送方法、系统、服务器和介质
CN110213311B (zh) * 2018-04-03 2021-10-15 腾讯科技（深圳）有限公司 信息推送方法和装置
CN109271420B (zh) * 2018-09-03 2023-07-11 深圳平安医疗健康科技服务有限公司 信息推送方法、装置、计算机设备和存储介质
CN109544266B (zh) * 2018-10-19 2024-06-14 中国平安人寿保险股份有限公司 产品数据推送方法、装置及计算机可读存储介质
CN115511539A (zh) * 2022-10-24 2022-12-23 平安银行股份有限公司 一种活动推送方法、装置、智能终端及存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040133571A1 (en) * 2002-12-20 2004-07-08 Martin Horne Adaptive item search and user ranking system and method
CN104463630A (zh) * 2014-12-11 2015-03-25 新一站保险代理有限公司 一种基于网购保险产品特性的产品推荐方法及系统
CN104683951A (zh) * 2015-03-17 2015-06-03 北京合生共济投资咨询有限责任公司 确定待推送信息的方法及系统
CN107798552A (zh) * 2017-05-04 2018-03-13 平安科技（深圳）有限公司 活动信息推送方法、系统、服务器和介质

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101202639A (zh) * 2006-12-14 2008-06-18 中兴通讯股份有限公司 一种传输基于电子地图的信息的系统及方法
US11443332B2 (en) * 2014-12-22 2022-09-13 Superior Integrated Solutions Llc System, method, and software for predicting the likelihood of selling automotive commodities
CN104574146A (zh) * 2014-12-31 2015-04-29 浙江大学 一种业务推荐的方法和系统
CN106204202A (zh) * 2016-06-29 2016-12-07 百度在线网络技术（北京）有限公司 一种车险信息推荐方法和装置
CN106202534A (zh) * 2016-07-25 2016-12-07 十九楼网络股份有限公司 一种基于社区用户行为的内容推荐方法及系统

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040133571A1 (en) * 2002-12-20 2004-07-08 Martin Horne Adaptive item search and user ranking system and method
CN104463630A (zh) * 2014-12-11 2015-03-25 新一站保险代理有限公司 一种基于网购保险产品特性的产品推荐方法及系统
CN104683951A (zh) * 2015-03-17 2015-06-03 北京合生共济投资咨询有限责任公司 确定待推送信息的方法及系统
CN107798552A (zh) * 2017-05-04 2018-03-13 平安科技（深圳）有限公司 活动信息推送方法、系统、服务器和介质

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021027324A1 (zh) * 2019-08-14 2021-02-18 深圳壹账通智能科技有限公司 信息推送方法、装置、计算机设备和存储介质
CN116301734A (zh) * 2023-05-17 2023-06-23 安徽思高智能科技有限公司 Rpa流程资产库中流程推荐方法、装置及电子设备

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