WO2017166472A1 - 广告数据匹配方法、装置及*** - Google Patents

广告数据匹配方法、装置及*** Download PDF

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Publication number
WO2017166472A1
WO2017166472A1 PCT/CN2016/088479 CN2016088479W WO2017166472A1 WO 2017166472 A1 WO2017166472 A1 WO 2017166472A1 CN 2016088479 W CN2016088479 W CN 2016088479W WO 2017166472 A1 WO2017166472 A1 WO 2017166472A1
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Prior art keywords
audience
advertisement
data
image data
advertisement data
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PCT/CN2016/088479
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English (en)
French (fr)
Inventor
敖伟波
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乐视控股(北京)有限公司
乐视网信息技术(北京)股份有限公司
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Priority to US15/242,103 priority Critical patent/US20170278130A1/en
Publication of WO2017166472A1 publication Critical patent/WO2017166472A1/zh

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/266Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
    • H04N21/2668Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/251Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/252Processing of multiple end-users' preferences to derive collaborative data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25808Management of client data
    • H04N21/25841Management of client data involving the geographical location of the client
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866Management of end-user data
    • H04N21/25891Management of end-user data being end-user preferences

Definitions

  • Embodiments of the present invention relate to the field of data processing technologies, and in particular, to an advertisement data matching method, apparatus, and system.
  • Smart TV is based on traditional TV functions and is equipped with an operating system. Based on the operating system installed, users can install and uninstall different application software to expand and upgrade TV functions. To make TV a high-definition, networked, and intelligent multimedia terminal.
  • smart TVs have broadband Internet access capabilities, and most of their functions depend on the Internet. For example, when the video playing software installed on the smart TV is running, it needs to perform data interaction with the corresponding server through the Internet, thereby transmitting the video data that the user wants to watch to the smart TV, so that the smart TV can play the corresponding video.
  • the smart TV can also obtain advertisement data from the advertisement server when the advertisement is played, so that the advertisement server can randomly select the advertisement data during the delivery period.
  • the audiences of smart TVs are different at different times, and the types of advertisements are different. Different groups of people have different sensitivity to different types of advertisements, for example, adult males advertised for razors. Sensitivity is higher than that of adult women, and adult women are more sensitive to cosmetic advertisements than adult males. It can be seen that the advertisement has certain matching precision for different audiences. Therefore, if the advertisement is randomly placed, not only the accuracy of the orientation matching of the advertisement is lowered, but also the user experience is not good.
  • the embodiment of the present invention provides a method, a device, and a system for matching advertisement data, which can solve the problem that the advertisement orientation matching accuracy caused by the random advertisement advertisement is low, and the user experience is not good.
  • an embodiment of the present invention provides an advertisement data matching method, including: receiving image data of an audience sent by a client; processing image data of the audience to obtain attribute information of the audience; and according to attributes of the audience Information, filtering advertisement data matching the audience from the advertisement database; and transmitting advertisement data matching the audience to the client.
  • an embodiment of the present invention further provides an advertisement data matching method, including: acquiring image data of an audience; transmitting image data of the audience to an advertisement server; and receiving, by the advertisement server, matching the audience Advertising data.
  • an embodiment of the present invention provides an advertisement data matching apparatus, including: a receiving module, configured to receive image data of an audience sent by a client; and a data processing module, configured to process the image data of the audience to obtain the Attribute information of the audience; a screening module, configured to filter advertisement data matching the audience from the advertisement database according to the attribute information of the audience; and send a module, configured to send advertisement data matching the audience to the Client.
  • an embodiment of the present invention provides an advertisement data matching apparatus, including: an acquisition module, configured to acquire image data of an audience; a sending module, configured to send image data of the audience to an advertisement server; and a receiving module, And configured to receive advertisement data that is sent by the advertisement server and matched with the audience.
  • an embodiment of the present invention provides an advertisement data matching system, including: an advertisement server and a client, wherein the client is configured to acquire image data of an audience; and send image data of the audience to the office An advertisement server; and receiving advertisement data that is sent by the advertisement server and matching the audience; the advertisement server is configured to receive image data of an audience sent by the client; and processing the image data of the audience to obtain the Attribute information of the audience; filtering the advertisement data matching the audience from the advertisement database according to the attribute information of the audience; and transmitting the advertisement data matching the audience to the client.
  • an embodiment of the present invention provides a computer storage medium, where the computer storage medium can store a program, and when the program is executed, the part of each implementation manner of the advertisement data matching method provided by the first aspect of the present invention can be implemented. Or all steps.
  • the embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium can store a program, and when the program is executed, the implementation manner of the advertisement data matching method provided by the second aspect of the present invention can be implemented. Some or all of the steps.
  • an embodiment of the present invention provides an advertisement server, including the advertisement data matching apparatus according to the third aspect.
  • an embodiment of the present invention provides a client, including the advertisement data matching apparatus according to the fourth aspect.
  • the embodiment of the present invention provides an advertisement data matching method, device and system, wherein before sending advertisement data to a client, the advertisement server first receives the advertisement sent by the client.
  • the ad data is sent to the client.
  • the advertisement server obtains the attribute information of the current audience according to the image data of the audience in advance, and then selects the matched advertisement data by using the attribute information of the audience as the reference information, compared with the prior art, according to the prior art. Audience targeting matching ad data can improve ad targeting matching accuracy and thus improve the user experience.
  • FIG. 1 is a flowchart of a method for matching an advertisement data according to an embodiment of the present invention
  • FIG. 2 is a flowchart of another method for matching advertisement data according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of an advertisement data matching apparatus according to an embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of another advertisement data matching apparatus according to an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of an advertisement data matching system according to an embodiment of the present invention.
  • FIG. 1 is a flowchart of a method for matching an advertisement data according to an embodiment of the present invention, where the method includes the following steps:
  • Step S101 Receive image data of an audience sent by the client.
  • the advertisement server can send different advertisement data to different clients at the same time, thereby not only improving the effective exposure of the advertisement, but also improving the user experience.
  • all the advertisement data is stored in the advertisement server.
  • a matching label may be set for each advertisement data, and the matching label may include a region suitable for serving, a gender of the matched audience, and a matched audience.
  • Information such as age, which can provide a basis for the ad server to target matching ad data.
  • the advertisement server can obtain the image data of the current audience through the client, and further obtain the attribute information of the audience through the image processing technology, so as to filter and the audience according to the attribute information of the audience. Matching ad data.
  • Step S102 Processing image data of the audience to obtain attribute information of the audience.
  • the advertisement server may first extract the face image data from the image data of the received audience, and then calculate the face image data using the first preset algorithm to obtain the first attribute information of the audience; The preset algorithm calculates the face image data to obtain the second attribute information of the audience.
  • the first attribute information may be a gender attribute or an age attribute. If the first attribute information is a gender attribute, the first preset algorithm is an algorithm for calculating a gender attribute, and the second attribute information is an age attribute, and the second pre- The algorithm is an algorithm for calculating an age attribute; if the first attribute information is an age attribute, then the first preset algorithm is an algorithm for calculating an age attribute, and the second attribute information is a gender attribute, and the second preset algorithm is calculating a gender The algorithm of the attribute.
  • the first attribute information and the second attribute information may be other attribute information that can be used to directly match the advertisement data, which is not limited herein.
  • the first preset algorithm and the second preset algorithm are respectively algorithm modules for calculating two attributes. Type, and both algorithm models are trained in advance using known image data. Since the calculation method of the different algorithm models is different from the collected data, in this embodiment, each attribute information corresponds to an algorithm model. If the above embodiments are used, the audience and identity of the audience need to be calculated. Attributes, the corresponding settings in the ad server are algorithmic models for calculating race and identity. In addition, since the methods and techniques for training the algorithm model are all well-known to those skilled in the art, the embodiments of the present invention are not described herein.
  • the image data of the audience may include face image data of multiple audiences.
  • the face image data of each audience may be input into the model one by one, and each of each is calculated. The attribute information of the audience.
  • the solution can obtain the attribute information of the audience by analyzing the face image data of the audience, thereby providing technical preparation and matching parameters for matching the advertisement data according to the audience orientation.
  • Step S103 Filter advertisement data matching the audience from the advertisement database according to the attribute information of the audience.
  • the advertisement server since the advertisement server matches the advertisement data according to the audience orientation, after calculating various attribute information of the audience, the advertisement data including all attributes of the audience in the matching label is selected from the advertisement database. It should be noted that before matching the advertisement data according to the audience, the advertisement server usually first determines the priority of the advertisement data to be selected, and selects the advertisement data in order of priority from high to low.
  • the advertisement server may read the address information of the client in advance, and determine the advertisement data group to be served in the area corresponding to the address information according to the address information of the client.
  • the advertisement data group is used. Called the first ad data group. If the area corresponding to the address information does not have an advertisement data group to be placed, the to-be-advertised advertisement data group corresponding to the area adjacent to the area is determined as the first advertisement data group. Then, an advertisement data group matching the first attribute information of all the audiences in the matching tag may be searched from the first advertisement data group.
  • the advertisement data group is referred to as a second advertisement data group; and then, from the second The advertisement data group in the advertisement data group is searched for the advertisement data group including the second attribute information of all the audiences in the matching label, and so on, and the layer of the advertisement data group of the last layer can be determined as the advertisement data group matching the audience.
  • the client is a smart TV in Beijing.
  • the audience of the smart TV includes an elderly person, two middle-aged people and a young person.
  • the elderly and one middle-aged person are women, and the other is in the middle.
  • Young people and young people are men, then the advertising server is passing the IP address of the smart TV (Internet) Protocol Address (Internet Protocol Address)
  • the advertising data group to be placed in Beijing is determined as the first advertising data group, and the first advertising data group is selected to match the male and female advertising data groups, as the first Second, the advertisement data group, and then, in the second advertisement data group, the advertisement data of the old, middle and young generations are matched and matched, and the third advertisement data group is obtained, and in the embodiment, the third advertisement data group is the audience. Matching ad data group.
  • the technical solution of the embodiment of the present invention may also include more attribute information, such as gender, age, and ethnicity.
  • attribute information such as gender, age, and ethnicity
  • the screening is performed. The process is similar to the above.
  • the order of the screening may be changed, and the second advertisement data group may be selected by using the age attribute as a condition, and the third advertisement data group may be selected by using the gender attribute as a condition, which is not limited by the embodiment of the present invention.
  • the third advertisement data group may include any number of advertisement data, or may not have advertisement data, and if there is no advertisement data in the third advertisement data group, the advertisement data is not sent to the client. If no advertisement data is included in the third advertisement data group, the advertisement data is determined as the advertisement data to be sent; if the third advertisement data group includes multiple advertisement data, one advertisement is randomly selected from the advertisement data group. The data is used as the advertisement data to be sent.
  • the matching may be performed again according to the attributes of the client, and the advertisement data that matches both the audience and the client is obtained, for example, if The client is an in-vehicle system, and the advertising data related to the car can be further selected.
  • the advertisement server can perform layer-by-layer screening from the advertisement database according to multiple attributes of the audience, so that the advertisement data matching the audience can be accurately filtered, which can not only greatly improve the orientation matching precision of the advertisement data. And it can improve the user experience.
  • Step S104 Send advertisement data matching the audience to the client.
  • the advertisement server filters the advertisement data matching the audience
  • the filtered advertisement data is sent to the client, so that the client plays the advertisement corresponding to the advertisement data.
  • the advertisement server obtains the attribute information of the current audience according to the image data of the audience in advance, and then selects the matching advertisement data by using the attribute information of the audience as the reference information, which is related to the prior art.
  • the ad targeting matching accuracy can be improved, thereby improving the user experience.
  • FIG. 2 is a flowchart of another method for matching advertisement data according to an embodiment of the present invention, where the method includes the following steps:
  • Step S201 Acquire image data of the audience according to a preset period.
  • the client can capture the image of the current audience through the camera at a certain frequency, and process and analyze the image data of the captured audience image, so as to match the image data of the audience as an advertisement server.
  • the basis of advertising data is a part of the image data of the captured audience image.
  • the preset period may be a few seconds. Specifically, the preset period may be set according to different clients.
  • the client in the solution may be, but is not limited to, a smart TV and an in-vehicle system, and may send the IP address and its own attribute information together when transmitting the image data of the audience to the advertisement server.
  • Step S202 Send image data of the audience to an advertisement server.
  • the image data of the acquired audience cannot be extracted, and thus the face image data cannot be extracted.
  • the ad server unable to match the ad data at all. Therefore, if the client sends image data to a group of audiences to the ad server, it will consume some of the ad server processing resources.
  • each time the client obtains the image data of a group of audiences whether the face feature information can be extracted as a preset condition can determine whether the face feature can be extracted from the acquired image data of the audience.
  • Data if the facial feature data can be extracted from the acquired image data of the audience, indicating that the image is clear, and the audience currently has the advertising data, the image data of the audience can be sent to the advertisement server; The image data of the acquired audience cannot extract the facial feature data, indicating that the image is not clear or there is no current audience. Then, the image data of the current audience can be ignored, and the new audience image can be taken to obtain the image of the new audience. data.
  • the advertisement server After the client sends the image data of the effective audience to the advertisement server, the advertisement server obtains the attribute information of the audience through the image data of the audience, so that the advertisement data can be targeted and matched.
  • the advertisement server obtains the attribute information of the audience through the image data of the audience, so that the advertisement data can be targeted and matched.
  • the client analyzes the image data of the audience after capturing the image of the audience, so that the image data of the effective audience can be sent to the advertisement server, so as to improve the utilization rate of the processing resources of the advertisement server and improve the processing speed of the advertisement server.
  • Step S203 receiving advertisement data that is matched by the advertisement server and matched with the audience.
  • the client may play the advertisement corresponding to the advertisement data at an appropriate time and an appropriate location after receiving the advertisement data sent by the advertisement server.
  • the advertisement data matching method before sending the advertisement data to the client, the advertisement server first receives the image data of the audience sent by the client, and processes the image data of the audience to obtain the audience. Attribute information, and then, according to the attribute information of the audience, the advertisement data matching the audience is filtered from the advertisement database, and the filtered advertisement data matching the audience is sent to the client.
  • the advertisement server obtains the attribute information of the current audience according to the image data of the audience in advance, and then selects the matched advertisement data by using the attribute information of the audience as the reference information, compared with the prior art, according to the prior art. Audience targeting matching ad data can improve ad targeting matching accuracy and thus improve the user experience.
  • FIG. 3 is a schematic structural diagram of an advertisement data matching apparatus according to an embodiment of the present invention.
  • the device includes: a receiving module 11, a data processing module 12, a screening module 13 and a sending module 14, wherein the receiving module 11 is configured to receive image data of an audience sent by the client; and the data processing module 12 is configured to process the The image data of the audience is obtained by the attribute information of the audience; the screening module 13 is configured to filter, according to the attribute information of the audience, the advertisement data that matches the audience from the advertisement database; and the sending module 14 is configured to: The ad data matched by the audience is sent to the client.
  • the data processing module 12 may specifically include: an extracting unit and a calculating unit, where the extracting unit is configured to extract face image data from image data of the audience;
  • the calculating unit is configured to calculate the face image data by using a first preset algorithm to obtain first attribute information of the audience.
  • the calculating unit is further configured to calculate the face image data by using a second preset algorithm to obtain second attribute information of the audience.
  • the screening module 13 includes a determining unit and a screening unit, wherein the determining unit is configured to determine the first advertisement according to the address information corresponding to the client. a data unit; the screening unit, configured to filter advertisement data matching the first attribute information from the first advertisement data group to obtain a second advertisement data group.
  • the screening unit is further configured to: filter advertisement data that matches the second attribute information from the second advertisement data group to obtain a third advertisement data group; and the determining unit further uses Determining advertisement data matching the audience from the third advertisement data group.
  • the advertisement server obtains the attribute information of the current audience according to the image data of the audience in advance, and then selects the matched advertisement data by using the attribute information of the audience as the reference information, compared with the prior art, according to the prior art. Audience targeting matching ad data can improve ad targeting matching accuracy and thus improve the user experience.
  • FIG. 4 is a schematic structural diagram of another advertisement data matching apparatus according to an embodiment of the present invention.
  • the apparatus includes: an obtaining module 21, a sending module 22, and a receiving module 23, wherein the acquiring module 21 is configured to The image data of the audience is obtained; the sending module 22 is configured to send the image data of the audience to the advertisement server; and the receiving module 23 is configured to receive the advertisement data that is sent by the advertisement server and matched with the audience.
  • the device further includes a determining module, configured to determine whether face feature data can be extracted from the image data of the audience.
  • the sending module is further configured to: when the facial feature data is extracted from the image data of the audience, send the image data of the audience to a server; Further, when the face feature data cannot be extracted from the image data of the audience, the image data of the audience is acquired according to a preset period.
  • FIG. 5 is a schematic structural diagram of an advertisement data matching system according to an embodiment of the present invention.
  • the system includes an advertisement server 01 and a client 02, wherein the client 02 is configured to acquire image data of an audience; send image data of the audience to the advertisement server 01; and receive the advertisement server 01 Sending advertisement data matching the audience; the advertisement server 01 is configured to receive image data of an audience sent by the client 02; and process image data of the audience Attribute information of the audience is determined; according to the attribute information of the audience, the advertisement data matching the audience is filtered from the advertisement database; and the advertisement data matched with the audience is sent to the client 02.
  • the client 02 can be, but is not limited to, a device such as a smart phone, an in-vehicle system, and a smart TV.
  • the embodiment of the present invention further provides a computer storage medium, where the computer storage medium is disposed on an advertisement server end, wherein the computer storage medium can store a program, and the program shown in FIG. 1 can be implemented when the program is executed.
  • the embodiment of the present invention further provides another computer storage medium, where the computer storage medium is disposed on a client, wherein the computer storage medium can store a program, and the program can be implemented as shown in FIG. 2 when executed.
  • an embodiment of the present invention further provides an advertisement server, including the advertisement data matching apparatus provided in the embodiment shown in FIG.
  • an embodiment of the present invention provides a client, including the advertisement data matching apparatus provided in the embodiment shown in FIG.
  • an embodiment of the present invention provides an advertisement data matching method, apparatus, and system, wherein an advertisement server first receives an image of an audience sent by a client before sending advertisement data to a client. Data, and processing image data of the audience to obtain attribute information of the audience, and then, according to attribute information of the audience, screening advertisement data matching the audience from the advertisement database, and sending the filtered advertisement data matched with the audience To the client.
  • the advertisement server obtains the attribute information of the current audience according to the image data of the audience in advance, and then selects the matched advertisement data by using the attribute information of the audience as the reference information, compared with the prior art, according to the prior art. Audience targeting matching ad data can improve ad targeting matching accuracy and thus improve the user experience.

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Abstract

本发明公开的广告数据匹配方法,包括:接收客户端发送的受众的图像数据;处理所述受众的图像数据得到所述受众的属性信息;根据所述受众的属性信息,从广告数据库中筛选与所述受众匹配的广告数据;将与所述受众匹配的广告数据发送到所述客户端。本发明还公开了一种广告数据匹配装置和***。本发明实施例的技术方案,广告服务器预先根据受众的图像数据得到当前受众的属性信息,进而以受众的属性信息为参考信息选择匹配的广告数据,与现有技术相比,根据受众定向匹配广告数据,能够提高广告定向匹配精度,进而能够提高用户体验。

Description

广告数据匹配方法、装置及***
本申请要求于2016年3月28日提交中国专利局、申请号为201610184169.6、发明名称为“广告数据匹配方法、装置及***”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
本发明实施例涉及数据处理技术领域,更具体而言,涉及一种广告数据匹配方法、装置及***。
背景技术
作为操作便捷,功能齐全的全开放式平台,智能电视基于传统电视功能,搭载了操作***,基于所搭载的操作***,用户可以自行安装和卸载不同功能的应用软件,从而扩充和升级电视的功能,将电视打造成为高清化、网络化、智能化的多媒体终端。
作为智能化的多媒体终端,智能电视具备宽带互联网接入功能,并且其大部分功能的实现依赖于互联网。例如,智能电视上所安装的视频播放软件在运行时,需要通过互联网与其对应的服务器进行数据交互,从而将用户欲观看的视频数据传输到智能电视,以便于智能电视播放相应视频。当然,与播放视频相同的,智能电视在播放广告时,也可以从广告服务器获取广告数据,从而使得广告服务器能够随机的选择处于投放期内的广告数据。
然而,由于智能电视的广泛使用,在不同时段智能电视面向的受众有所不同,而广告的类型繁多,不同人群对不同类型的广告敏感度也不相同,例如,成年男性对剃须刀广告的敏感度较成年女性高,而成年女性对化妆品广告的敏感度较成年男性高。由此可见,广告对于不同受众存在一定的匹配精度,因此,如果随机投放广告,不仅会降低广告的定向匹配精度,而且容易导致用户体验不好。
发明内容
有鉴于此,本发明实施例提供了一种广告数据匹配方法、装置及***,能够解决随机投放广告造成的广告定向匹配精度低,及用户体验不好的问题。
第一方面,本发明实施例提供了一种广告数据匹配方法,包括:接收客户端发送的受众的图像数据;处理所述受众的图像数据得到所述受众的属性信息;根据所述受众的属性信息,从广告数据库中筛选与所述受众匹配的广告数据;将与所述受众匹配的广告数据发送到所述客户端。
第二方面,本发明实施例还提供了一种广告数据匹配方法,包括:获取受众的图像数据;将所述受众的图像数据发送到广告服务器;接收所述广告服务器发送的与所述受众匹配的广告数据。
第三方面,本发明实施例提供了一种广告数据匹配装置,包括:接收模块,用于接收客户端发送的受众的图像数据;数据处理模块,用于处理所述受众的图像数据得到所述受众的属性信息;筛选模块,用于根据所述受众的属性信息,从广告数据库中筛选与所述受众匹配的广告数据;发送模块,用于将与所述受众匹配的广告数据发送到所述客户端。
第四方面,本发明实施例提供了一种广告数据匹配装置,包括:获取模块,用于获取受众的图像数据;发送模块,用于将所述受众的图像数据发送到广告服务器;接收模块,用于接收所述广告服务器发送的与所述受众匹配的广告数据。
第五方面,本发明实施例提供了一种广告数据匹配***,包括:广告服务器和客户端,其中,所述客户端,用于获取受众的图像数据;将所述受众的图像数据发送到所述广告服务器;并接收所述广告服务器发送的与所述受众匹配的广告数据;所述广告服务器,用于接收所述客户端发送的受众的图像数据;处理所述受众的图像数据得到所述受众的属性信息;根据所述受众的属性信息,从广告数据库中筛选与所述受众匹配的广告数据;将与所述受众匹配的广告数据发送到所述客户端。
第六方面,本发明实施例提供一种计算机存储介质,其中,该计算机存储介质可存储有程序,该程序执行时可实现本发明第一方面提供的广告数据匹配方法的各实现方式中的部分或全部步骤。
第七方面,本发明实施例还提供一种计算机存储介质,其中,该计算机存储介质可存储有程序,该程序执行时可实现本发明第二方面提供的广告数据匹配方法的各实现方式中的部分或全部步骤。
第八方面,本发明实施例提供一种广告服务器,包括第三方面所述的广告数据匹配装置。
第九方面,本发明实施例提供一种客户端,包括第四方面所述的广告数据匹配装置。
由以上技术方案可知,为了解决相关技术的技术问题,本发明实施例提供了一种广告数据匹配方法、装置及***,其中,在向客户端发送广告数据之前,广告服务器首先接收客户端发送的受众的图像数据,并处理所述受众的图像数据得到所述受众的属性信息,然后,根据受众的属性信息,从广告数据库中筛选与受众匹配的广告数据,并将所筛选的与受众匹配的广告数据发送到客户端。由此可见,本发明实施例的技术方案,广告服务器预先根据受众的图像数据得到当前受众的属性信息,进而以受众的属性信息为参考信息选择匹配的广告数据,与现有技术相比,根据受众定向匹配广告数据,能够提高广告定向匹配精度,进而能够提高用户体验。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案,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发明的一些实施例,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他的附图。通过附图所示,本发明的上述及其它目的、特征和优势将更加清晰。在全部附图中相同的附图标记指示相同的部分。并未刻意按实际尺寸等比例缩放绘制附图,重点在于示出本发明的主旨。
图1是本发明实施例提供的广告数据匹配方法的方法流程图;
图2是本发明实施例提供的另一种广告数据匹配方法的方法流程图;
图3是本发明实施例提供的广告数据匹配装置的结构示意图;
图4是本发明实施例提供的另一种广告数据匹配装置的结构示意图;
图5是本发明实施例提供的广告数据匹配***的结构示意图。
具体实施方式
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整的描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。
由于本发明实施例技术方案的主要内容在于,根据受众定向匹配广告数据,由此可见,本方案的实施端主要是广告服务器,因此,下述实施例将从广告服务器端对本发明实施例的技术方案进行描述。请参见图1,图1是本发明实施例提供的广告数据匹配方法的方法流程图,所述方法包括以下步骤:
步骤S101:接收客户端发送的受众的图像数据。
目前,随着智能终端的网络化,广告服务器可以在同一时间向不同的客户端发送不同的广告数据,从而不仅能够提高广告的有效曝光率,而且能够提高用户体验。具体的,广告服务器中存储有全部广告数据,为了便于管理,可以为每条广告数据设置匹配标签,所述匹配标签可以包括适于投放的地域,所匹配的受众的性别,以及所匹配的受众的年龄等信息,从而能够为广告服务器定向匹配广告数据提供筛选依据。
由于受众性别以及受众年龄均是受众的属性信息,因此,广告服务器可以通过客户端获取当前受众的图像数据,并通过图像处理技术进一步得到受众的属性信息,从而能够根据受众的属性信息筛选与受众匹配的广告数据。
步骤S102:处理所述受众的图像数据得到所述受众的属性信息。
其中,基于受众的图像数据得到受众的性别和年龄等属性,通常以人脸检测为基础,在提取出人脸图像数据后,分别对人脸图像数据中的瞳孔、眼角和鼻子等部位的数据进行相应计算,能够得到每个受众的性别信息和年龄段信息。因此,具体的,广告服务器可以首先从所接收的受众的图像数据中提取出人脸图像数据,然后,使用第一预设算法计算人脸图像数据,得到受众的第一属性信息;使用第二预设算法计算人脸图像数据,得到受众的第二属性信息。
其中,第一属性信息可以是性别属性或者年龄属性,如果第一属性信息是性别属性,那么,第一预设算法是计算性别属性的算法,而第二属性信息则是年龄属性,第二预设算法是计算年龄属性的算法;如果第一属性信息是年龄属性,那么,第一预设算法是计算年龄属性的算法,而第二属性信息则是性别属性,第二预设算法是计算性别属性的算法。当然,上述仅为本发明的优选示例,本方案中第一属性信息和第二属性信息还可以是其他可以用于定向匹配广告数据的属性信息,本发明实施例此处不做限制。
需要说明的是,第一预设算法和第二预设算法分别是计算两种属性的算法模 型,而该两种算法模型均是预先使用已知的图像数据训练得到。由于训练不同算法模型的计算方式和所采集的数据不同,因此,本实施例中,每项属性信息对应一个算法模型,如果在上述实施例的基础上,还需要计算受众的人种和身份等属性,广告服务器中还相应的设置有计算人种和身份的算法模型。此外,由于训练算法模型的方法和技术均为本领域技术人员所熟知的技术,因此,本发明实施例此处不再赘述。
此外,受众的图像数据中可能包括多个受众的人脸图像数据,此时,在通过算法模型计算受众的属性信息时,可以逐一将每个受众的人脸图像数据输入模型,分别计算每个受众的属性信息。
由本步骤的描述可知,本方案可以通过对受众的人脸图像数据进行分析,得到受众的属性信息,从而能够为根据受众定向匹配广告数据提供技术准备,和必要的匹配参数。
步骤S103:根据所述受众的属性信息,从广告数据库中筛选与所述受众匹配的广告数据。
其中,由于广告服务器根据受众定向匹配广告数据,因此,在计算得到受众的各项属性信息后,从广告数据库中选择匹配标签中包括受众全部属性的广告数据。需要说明的是,在根据受众匹配广告数据之前,广告服务器通常首先确定待选择广告数据的优先级,并按照优先级从高到低的顺序选择广告数据。
具体的,广告服务器可以预先读取客户端的地址信息,并根据客户端的地址信息确定在所述地址信息对应的区域投放的广告数据群,为了便于描述,本实施例中,将所述广告数据群称为第一广告数据群。如果所述地址信息对应的区域没有待投放广告数据群,则将该区域邻近区域对应的待投放广告数据群确定为第一广告数据群。然后,可以从第一广告数据群中查找匹配标签中包括所有受众的第一属性信息的广告数据群,本实施例中,将该广告数据群称为第二广告数据群;继而,从第二广告数据群中查找匹配标签中包括所有受众的第二属性信息的广告数据群,依此类推,逐层筛选,直到最后一层的广告数据群即可确定为与受众匹配的广告数据群。
例如,客户端为使用地在北京的智能电视,当前该智能电视的受众包括一位老年人、两位中年人和一个青年人,老年人和其中一位中年人为女性,另一位中年人和青年人为男性,那么,广告服务器在通过智能电视的IP地址(Internet  Protocol Address,网际协议地址)确定地址北京之后,将投放地是北京的广告数据群确定为第一广告数据群,并在第一广告数据群中筛选同时匹配男性和女性的广告数据群,作为第二广告数据群,继而,在第二广告数据群中筛选同时匹配老、中、青三代人的广告数据,得到第三广告数据群,而本实施例中,第三广告数据群即为与受众匹配的广告数据群。
当然,上述仅为本发明的优选示例,本发明实施例的技术方案也可以包括更多项属性信息,例如,性别、年龄和人种,当属性信息包括性别、年龄和人种时,其筛选过程与上述类似。此外,筛选的先后顺序可变换,也可以先以年龄属性为条件筛选得到第二广告数据群,再以性别属性为条件筛选得到第三广告数据群,本发明实施例对此不做限制。
需要说明的是,本发明实施例中,第三广告数据群可能包括任意数量的广告数据,也可能没有广告数据,如果第三广告数据群中没有广告数据,则不向客户端发送广告数据,本次不投放广告;如果第三广告数据群中包括一条广告数据,则将该条广告数据确定为待发送广告数据;如果第三广告数据群中包括多条广告数据,则从中随机选择一条广告数据作为待发送广告数据。
此外,为了提高用户体验,本实施例中,在得到与受众匹配的广告数据群之后,还可以根据客户端的属性再次进行匹配,得到既与受众匹配又与客户端匹配的广告数据,例如,如果客户端是车载***,则可以进一步选择与汽车相关的广告数据。
通过本步骤的描述可知,广告服务器可以根据受众的多项属性从广告数据库中进行层层筛选,从而能够精确的筛选到与受众匹配的广告数据,不仅能够大大的提高广告数据的定向匹配精度,而且能够提高用户体验。
步骤S104:将与所述受众匹配的广告数据发送到所述客户端。
基于上述步骤的描述,当广告服务器筛选到与受众匹配的广告数据之后,将所筛选的广告数据发送到客户端,以便于客户端播放该广告数据对应的广告。
由本实施例的描述可知,本发明实施例的技术方案,广告服务器预先根据受众的图像数据得到当前受众的属性信息,进而以受众的属性信息为参考信息选择匹配的广告数据,与现有技术相比,根据受众定向匹配广告数据,能够提高广告定向匹配精度,进而能够提高用户体验。
上述实施例从广告服务器的角度对本方案进行了描述,为了使本领域技术人员能够更加清楚、详细的了解本方案,下面从客户端的角度对本方案进行描述。
请参见图2,图2是本发明实施例提供的另一种广告数据匹配方法的方法流程图,所述方法包括以下步骤:
步骤S201,按照预设周期获取受众的图像数据。
其中,为了能够提高用户体验,客户端在开机之后,可以以一定频率通过摄像头拍摄当前受众的图像,并处理、分析所拍摄的受众图像的图像数据,以便于将受众的图像数据作为广告服务器匹配广告数据的基础。
本实施例中,所述预设周期可以是几秒,具体的,可以根据不同客户端进行设置,本发明实施例此处不再赘述。
此外,需要说明的是,本方案中所述客户端可以但不限于智能电视和车载***,并且在向广告服务器发送受众的图像数据时,可以将IP地址及自身的属性信息一并发送。
步骤S202,将所述受众的图像数据发送到广告服务器。
其中,由于当前场景可能存在多种情况,例如,智能电视所在的房间光线昏暗,或者当前无人观看电视节目等,均会造成所获取的受众的图像数据中无法提取出人脸图像数据,从而使得广告服务器根本无法匹配广告数据。因此,如果客户端每获取到一组受众的图像数据均发送到广告服务器,将会消耗掉广告服务器部分处理资源。
为了解决上述问题,客户端每获取到一组受众的图像数据,均可以以是否能够提取出人脸特征信息为预设条件,判断从所获取的受众的图像数据中是否能提取出人脸特征数据,如果从所获取的受众的图像数据中能提取出人脸特征数据,说明该张图像清晰,而且当前存在广告数据的受众,则可以将该受众的图像数据发送到广告服务器;如果从所获取的受众的图像数据中不能提取出人脸特征数据,说明该张图像不清晰或者当前没有受众,那么,可以忽略当前受众的图像数据,并继续拍摄新的受众图像,获取新的受众的图像数据。
当客户端将有效的受众的图像数据发送到广告服务器之后,广告服务器通过受众的图像数据得到受众的属性信息,从而能够定向匹配广告数据,具体的,详见上述实施例的描述,本发明实施例此处不再赘述。
由本步骤的描述可知,客户端在拍摄受众图像之后,分析受众的图像数据,从而能够将有效的受众的图像数据发送到广告服务器,以提高广告服务器处理资源的利用率,提高广告服务器的处理速度。
步骤S203,接收所述广告服务器发送的与所述受众匹配的广告数据。
其中,客户端在接收到广告服务器发送的广告数据之后,可以在适当的时间和适当的位置播放广告数据对应的广告。
综合上述可知,本发明实施例提供的广告数据匹配方法,在向客户端发送广告数据之前,广告服务器首先接收客户端发送的受众的图像数据,并处理所述受众的图像数据得到所述受众的属性信息,然后,根据受众的属性信息,从广告数据库中筛选与受众匹配的广告数据,并将所筛选的与受众匹配的广告数据发送到客户端。由此可见,本发明实施例的技术方案,广告服务器预先根据受众的图像数据得到当前受众的属性信息,进而以受众的属性信息为参考信息选择匹配的广告数据,与现有技术相比,根据受众定向匹配广告数据,能够提高广告定向匹配精度,进而能够提高用户体验。
与上述实现方法相对应的,本发明实施例还提供了一种广告数据匹配装置,需要说明的是,本实施例将对广告服务器端的装置进行描述。请参见图3,图3是本发明实施例提供的广告数据匹配装置的结构示意图。
所述装置包括:接收模块11、数据处理模块12、筛选模块13和发送模块14,其中,接收模块11,用于接收客户端发送的受众的图像数据;数据处理模块12,用于处理所述受众的图像数据得到所述受众的属性信息;筛选模块13,用于根据所述受众的属性信息,从广告数据库中筛选与所述受众匹配的广告数据;发送模块14,用于将与所述受众匹配的广告数据发送到所述客户端。
其中,在上述实施例的基础上,所述数据处理模块12具体可以包括:提取单元和计算单元,其中,所述提取单元,用于从所述受众的图像数据中提取人脸图像数据;所述计算单元,用于使用第一预设算法计算所述人脸图像数据,得到所述受众的第一属性信息。在本实施例中,所述计算单元,还用于使用第二预设算法计算所述人脸图像数据,得到所述受众的第二属性信息。
基于上述描述,在另一个实施例中,所述筛选模块13包括确定单元和筛选单元,其中,所述确定单元,用于根据所述客户端对应的地址信息确定第一广告 数据群;所述筛选单元,用于从所述第一广告数据群中筛选与所述第一属性信息匹配的广告数据,得到第二广告数据群。在本实施例中,所述筛选单元,还用于从所述第二广告数据群中筛选与所述第二属性信息匹配的广告数据,得到第三广告数据群;所述确定单元,还用于从所述第三广告数据群中确定与所述受众匹配的广告数据。
所述装置中各个模块和单元的功能和作用的实现过程详见上述方法中对应的实现过程,在此不再赘述。
由此可见,本发明实施例的技术方案,广告服务器预先根据受众的图像数据得到当前受众的属性信息,进而以受众的属性信息为参考信息选择匹配的广告数据,与现有技术相比,根据受众定向匹配广告数据,能够提高广告定向匹配精度,进而能够提高用户体验。
当然,为了使本领域技术人员能够更加清楚、详细的了解本方案,本发明实施例还从客户端角度进行了描述。请参见图4,图4是本发明实施例提供的另一种广告数据匹配装置的结构示意图,所述装置包括:获取模块21、发送模块22和接收模块23,其中,获取模块21,用于获取受众的图像数据;发送模块22,用于将所述受众的图像数据发送到广告服务器;接收模块23,用于接收所述广告服务器发送的与所述受众匹配的广告数据。
其中,在上述实施例的基础上,所述装置还包括判断模块,用于判断从所述受众的图像数据中是否能提取出人脸特征数据。在本实施例中,所述发送模块,还用于当从所述受众的图像数据中能提取出所述人脸特征数据时,将所述受众的图像数据发送到服务器;所述获取模块,还用于当从所述受众的图像数据中不能提取出所述人脸特征数据时,按照预设周期获取受众的图像数据。
所述装置中各个模块和单元的功能和作用的实现过程详见上述方法中对应的实现过程,在此不再赘述。
此外,与上述实现方法和装置相对应的,本发明实施例还提供了一种广告数据匹配***,请参见图5,图5是本发明实施例提供的广告数据匹配***的结构示意图。所述***包括广告服务器01和客户端02,其中,所述客户端02,用于获取受众的图像数据;将所述受众的图像数据发送到所述广告服务器01;并接收所述广告服务器01发送的与所述受众匹配的广告数据;所述广告服务器01,用于接收所述客户端02发送的受众的图像数据;处理所述受众的图像数据得到所 述受众的属性信息;根据所述受众的属性信息,从广告数据库中筛选与所述受众匹配的广告数据;将与所述受众匹配的广告数据发送到所述客户端02。
需要说明的是,广告服务器01和客户端02的具体执行过程详见上述实施例的描述,本发明实施例此处不再赘述。
此外,客户端02可以但不限于智能手机、车载***和智能电视等设备,本发明实施例对此不做限制。
需要说明的是,本发明实施例还提供一种计算机存储介质,该计算机存储介质设置于广告服务器端,其中,该计算机存储介质可存储有程序,该程序执行时可实现图1所示实施例提供的广告数据匹配方法的各实现方式中的部分或全部步骤。
在另一个实施中,本发明实施例还提供另一种计算机存储介质,该计算机存储介质设置于客户端,其中,该计算机存储介质可存储有程序,该程序执行时可实现图2所示实施例提供的广告数据匹配方法的各实现方式中的部分或全部步骤。
此外,本发明实施例还提供了一种广告服务器,包括图3所示实施例提供的广告数据匹配装置。
相应的,本发明实施例提供一种客户端,包括图4所示实施例提供的广告数据匹配装置。
综合上述,为了解决相关技术的技术问题,本发明实施例提供了一种广告数据匹配方法、装置及***,其中,在向客户端发送广告数据之前,广告服务器首先接收客户端发送的受众的图像数据,并处理所述受众的图像数据得到所述受众的属性信息,然后,根据受众的属性信息,从广告数据库中筛选与受众匹配的广告数据,并将所筛选的与受众匹配的广告数据发送到客户端。由此可见,本发明实施例的技术方案,广告服务器预先根据受众的图像数据得到当前受众的属性信息,进而以受众的属性信息为参考信息选择匹配的广告数据,与现有技术相比,根据受众定向匹配广告数据,能够提高广告定向匹配精度,进而能够提高用户体验。
以上所述仅是本发明的具体实施方式,应当指出,对于本技术领域的普通技术人员来说,在不脱离本发明原理的前提下,还可以做出若干改进和润饰,这些 改进和润饰也应视为本发明的保护范围。

Claims (13)

  1. 一种广告数据匹配方法,其特征在于,包括:
    接收客户端发送的受众的图像数据;
    处理所述受众的图像数据得到所述受众的属性信息;
    根据所述受众的属性信息,从广告数据库中筛选与所述受众匹配的广告数据;
    将与所述受众匹配的广告数据发送到所述客户端。
  2. 如权利要求1所述的广告数据匹配方法,其特征在于,所述处理所述受众的图像数据得到所述受众的属性信息,包括:
    从所述受众的图像数据中提取人脸图像数据;
    使用第一预设算法计算所述人脸图像数据,得到所述受众的第一属性信息;使用第二预设算法计算所述人脸图像数据,得到所述受众的第二属性信息。
  3. 如权利要求2所述的广告数据匹配方法,其特征在于,所述根据所述受众的属性信息,从广告数据库中筛选与所述受众匹配的广告数据,包括:
    根据所述客户端对应的地址信息确定第一广告数据群;
    从所述第一广告数据群中筛选与所述第一属性信息匹配的广告数据,得到第二广告数据群;
    从所述第二广告数据群中筛选与所述第二属性信息匹配的广告数据,得到第三广告数据群;
    从所述第三广告数据群中确定与所述受众匹配的广告数据。
  4. 一种广告数据匹配方法,其特征在于,包括:
    获取受众的图像数据;
    将所述受众的图像数据发送到广告服务器;
    接收所述广告服务器发送的与所述受众匹配的广告数据。
  5. 如权利要求4所述的广告数据匹配方法,其特征在于,在获取受众的 图像数据之后,在将所述受众的图像数据发送到服务器之前,还包括:
    判断从所述受众的图像数据中是否能提取出人脸特征数据;
    如果从所述受众的图像数据中能提取出所述人脸特征数据,执行将所述受众的图像数据发送到服务器的步骤;
    如果从所述受众的图像数据中不能提取出所述人脸特征数据,执行按照预设周期获取受众的图像数据的步骤。
  6. 一种广告数据匹配装置,其特征在于,包括:
    接收模块,用于接收客户端发送的受众的图像数据;
    数据处理模块,用于处理所述受众的图像数据得到所述受众的属性信息;
    筛选模块,用于根据所述受众的属性信息,从广告数据库中筛选与所述受众匹配的广告数据;
    发送模块,用于将与所述受众匹配的广告数据发送到所述客户端。
  7. 如权利要求6所述的广告数据匹配装置,其特征在于,所述数据处理模块包括提取单元和计算单元,其中,
    所述提取单元,用于从所述受众的图像数据中提取人脸图像数据;
    所述计算单元,用于使用第一预设算法计算所述人脸图像数据,得到所述受众的第一属性信息;还用于使用第二预设算法计算所述人脸图像数据,得到所述受众的第二属性信息。
  8. 如权利要求7所述的广告数据匹配装置,其特征在于,所述筛选模块包括确定单元和筛选单元,其中,
    所述确定单元,用于根据所述客户端对应的地址信息确定第一广告数据群;
    所述筛选单元,用于从所述第一广告数据群中筛选与所述第一属性信息匹配的广告数据,得到第二广告数据群;还用于从所述第二广告数据群中筛选与所述第二属性信息匹配的广告数据,得到第三广告数据群;
    所述确定单元,还用于从所述第三广告数据群中确定与所述受众匹配的 广告数据。
  9. 一种广告数据匹配装置,其特征在于,包括:
    获取模块,用于获取受众的图像数据;
    发送模块,用于将所述受众的图像数据发送到广告服务器;
    接收模块,用于接收所述广告服务器发送的与所述受众匹配的广告数据。
  10. 如权利要求9所述的广告数据匹配装置,其特征在于,还包括:
    判断模块,用于判断从所述受众的图像数据中是否能提取出人脸特征数据;
    所述发送模块,还用于当从所述受众的图像数据中能提取出所述人脸特征数据时,将所述受众的图像数据发送到服务器;
    所述获取模块,还用于当从所述受众的图像数据中不能提取出所述人脸特征数据时,按照预设周期获取受众的图像数据。
  11. 一种广告数据匹配***,其特征在于,包括:广告服务器和客户端,其中,
    所述客户端,用于获取受众的图像数据;将所述受众的图像数据发送到所述广告服务器;并接收所述广告服务器发送的与所述受众匹配的广告数据;
    所述广告服务器,用于接收所述客户端发送的受众的图像数据;处理所述受众的图像数据得到所述受众的属性信息;根据所述受众的属性信息,从广告数据库中筛选与所述受众匹配的广告数据;将与所述受众匹配的广告数据发送到所述客户端。
  12. 一种广告服务器,其特征在于,包括:如权利要求6-8中任一项所述的广告数据匹配装置。
  13. 一种客户端,其特征在于,包括:如权利要求9或10所述的广告数据匹配装置。
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