WO2016155260A1 - 信息投放方法、装置和系统 - Google Patents

信息投放方法、装置和系统 Download PDF

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Publication number
WO2016155260A1
WO2016155260A1 PCT/CN2015/090006 CN2015090006W WO2016155260A1 WO 2016155260 A1 WO2016155260 A1 WO 2016155260A1 CN 2015090006 W CN2015090006 W CN 2015090006W WO 2016155260 A1 WO2016155260 A1 WO 2016155260A1
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WIPO (PCT)
Prior art keywords
user
information
mobile device
placement location
delivery
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PCT/CN2015/090006
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English (en)
French (fr)
Inventor
卢嘉龙
陈炜于
谢永康
施恩
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Baidu Online Network Technology Beijing Co Ltd
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Baidu Online Network Technology Beijing Co Ltd
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Publication of WO2016155260A1 publication Critical patent/WO2016155260A1/zh
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Ceased legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor

Definitions

  • the present invention relates to the field of data processing technologies, and in particular, to an information delivery method, apparatus, and system.
  • the a priori market analysis result is used to determine the delivery content of the placement location for the specific information, and the market analysis includes road segment analysis, surrounding environment analysis, and investor analysis.
  • the present invention aims to solve at least one of the technical problems in the related art to some extent.
  • an object of the present invention is to provide an information delivery method, which can improve the accuracy of information delivery, and can also measure the effect of information delivery.
  • Another object of the present invention is to provide an information placing apparatus.
  • Another object of the present invention is to provide an information delivery system.
  • the information delivery method of the first aspect of the present invention includes: receiving detection information sent by the detection device, where the detection information is that the detection device detects and acquires a mobile device used by a user passing by The detection information includes the identification information of the mobile device, and the detection device is disposed in a delivery location for serving information; and acquiring online behavior data of the user using the mobile device according to the identification information of the mobile device; The online behavior data is analyzed to obtain a user data analysis result; and according to the user data analysis result, the delivery content of the placement location, and/or the delivery effect is determined.
  • the information delivery method proposed by the first aspect of the present invention can obtain the online behavior data of the user, and according to the analysis of the online behavior data, determine the delivery content of the placement location, improve the accuracy of information delivery, and can break through the manual. Plan the limits of the analysis method, adapt to large-scale promotion; determine the placement effect by analyzing the online behavior data, collect audience data, explore the value of the placement, and measure the placement Put the effect.
  • the information delivery method of the second aspect of the present invention includes: detecting a mobile device used by a user passing by, and acquiring detection information, where the detection information includes identification information of the mobile device; The detection information is sent to the server, so that the server obtains online behavior data of the user using the mobile device according to the identification information of the mobile device, analyzes the online behavior data, and obtains a user data analysis result. And determining, according to the user data analysis result, the delivery content of the placement location for serving the information, and/or the delivery effect.
  • the information delivery method proposed by the embodiment of the second aspect of the present invention can facilitate the server to perform data analysis by detecting the identification information of the mobile device and sending the information to the server, thereby improving the accuracy of information delivery and measuring the effect of information delivery.
  • an information delivery apparatus includes: a receiving module, configured to receive detection information sent by a detection device, where the detection information is a movement of the detection device to a user passing by And the detecting information is obtained by the device, where the detecting information includes the identification information of the mobile device, the detecting device is disposed in a placing location for serving the information, and the acquiring module is configured to obtain, according to the identifier information of the mobile device, An online behavior data of the user of the mobile device; an analysis module, configured to analyze the online behavior data to obtain a user data analysis result; and a determining module, configured to determine the placement location according to the user data analysis result Serve content, and/or, deliver performance.
  • the information placing device proposed by the third embodiment of the present invention can obtain the online behavior data of the user, and according to the analysis of the online behavior data, determine the delivery content of the placement location, improve the accuracy of the information delivery, and can break through the manual. Plan the limitations of the analysis method to adapt to large-scale promotion; by analyzing the online behavior data to determine the placement effect, you can collect audience data, explore the value of placements, and measure the placement performance.
  • an information delivery apparatus includes: a detection module, configured to detect a mobile device used by a user passing by, and obtain detection information, where the detection information includes an identifier of the mobile device. And a sending module, configured to send the detection information to the server, so that the server acquires online behavior data of the user using the mobile device according to the identification information of the mobile device, and performs the online behavior
  • the data is analyzed to obtain a user data analysis result, and based on the user data analysis result, the delivery content of the placement location for serving the information, and/or the delivery effect is determined.
  • the information placing device of the fourth aspect of the present invention can facilitate the server to perform data analysis by detecting the identification information of the mobile device and sending the information to the server, thereby improving the accuracy of information delivery and measuring the effect of information delivery.
  • an information delivery system includes: The device proposed by the example, and the device proposed by the embodiment of the fourth aspect.
  • An embodiment of the present invention further provides an electronic device, including: one or more processors; a memory; one or more programs, the one or more programs being stored in the memory when the one or more When the processor is executed: the method according to any of the first aspect of the invention is performed.
  • Embodiments of the present invention also provide a non-volatile computer storage medium having one or more modules stored when the one or more modules are executed: performing the first aspect of the present invention The method of any of the preceding claims.
  • An embodiment of the present invention further provides an electronic device, including: one or more processors; a memory; one or more programs, the one or more programs being stored in the memory when the one or more When the processor is executed: performing the method according to any of the embodiments of the second aspect of the invention.
  • Embodiments of the present invention also provide a non-volatile computer storage medium storing one or more modules, when the one or more modules are executed: performing the second aspect of the present invention The method of any of the preceding claims.
  • FIG. 1 is a schematic flow chart of an information delivery method according to an embodiment of the present invention.
  • FIG. 2 is a schematic flowchart of an information delivery method according to another embodiment of the present invention.
  • FIG. 3 is a schematic flow chart of an information delivery method according to another embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of an information placing apparatus according to another embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of an information placing apparatus according to another embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of an information delivery system according to another embodiment of the present invention.
  • FIG. 1 is a schematic flowchart diagram of an information delivery method according to an embodiment of the present invention. The method may be performed by a server, and the method includes:
  • S11 Receive detection information sent by the detection device, where the detection information is obtained by detecting, by the detection device, a mobile device used by a user passing by, the detection information includes identification information of the mobile device, and the detection device is set in Within the placements where the information is served.
  • the identification information of the mobile device is a unique identifier of the mobile device, such as a Bluetooth address of the mobile device, or a Media Access Control (MAC) address.
  • MAC Media Access Control
  • the information to be served is an advertisement
  • the placement may specifically refer to an advertisement space, for example, a billboard.
  • a detection device may be preset in each placement location, and the detection device may detect the mobile device by using a preset wireless communication manner to obtain identification information of the mobile device.
  • the preset wireless communication method is, for example, Near Field Communication (NFC), wifi, or Bluetooth.
  • Each detecting device can detect identification information of one or more mobile devices, and multiple means at least two.
  • the detection device may send the identification information to the server, and may also carry the identification information of the detection device itself when transmitting the detection information, and the detection device and the placement location may be pre-stored in the server. Corresponding relationship, so that the server can establish a correspondence between the placement location and the identification information of the mobile device.
  • the placement location_1 corresponds to the mobile device_1, the mobile device_2, and the like.
  • S12 Acquire online behavior data of a user who uses the mobile device according to the identification information of the mobile device.
  • the server can collect online behavior data of all users in advance, and the device used by the user can also send the identification information of the device when the user's online behavior data is sent to the server.
  • the server collects the information.
  • the server may obtain the online behavior data of the user corresponding to the identifier information of the received mobile device from a large amount of data collected by the preset. Moreover, the server can establish a correspondence between the placement location and the online behavior data of the user according to the correspondence between the previously established placement location and the identification information of the mobile device, and the online behavior data of the corresponding user acquired at this time.
  • the online behavior data of the user corresponding to the mobile device_1 includes: data of the user A
  • the online behavior data of the user corresponding to the mobile device_2 includes: data of the user B
  • the online behavior corresponding to the placement location_1 The data includes: user A's data and user B's data.
  • the analyzing the online behavior data to obtain a user data analysis result includes:
  • the data of the user A and the data of the user B may be separately analyzed, and the points of interest of the corresponding user may be obtained.
  • the data of the user A indicates that the user A frequently browses the financial information
  • the point of interest of the user A includes the financial.
  • Each user's point of interest can be one or more.
  • user A's points of interest include: finance, travel, etc.
  • user B's points of interest include games, electronics, and the like.
  • the user ID can be used as a keyword, and the points of interest are values, and are stored in the database.
  • each user corresponding to the placement location is analyzed, and after obtaining the interest points corresponding to each user, the points of interest of all users corresponding to the placement location may be clustered, and the corresponding location of the placement location is obtained. Crowd characteristics. For example, if most of the users corresponding to the placement location_1 are interested in the electronic, the demographic feature corresponding to the placement location_1 is electronic. After obtaining the demographic characteristics of each placement, the placement ID can be used as a keyword, and the demographic characteristics are stored in the database.
  • each user can also analyze their user behavior, such as: purchase and browsing behavior on the e-commerce site, registration behavior on the game site, and detection behavior on the search engine.
  • user behavior such as: purchase and browsing behavior on the e-commerce site, registration behavior on the game site, and detection behavior on the search engine.
  • the user ID can be used as a keyword, and the behavior is a value and stored in the database.
  • S14 Determine, according to the user data analysis result, the delivery content of the placement location, and/or the delivery effect.
  • the determining, according to the user data analysis result, the delivery content of the placement location including:
  • the placement location data matching the population feature corresponding to the placement location is selected according to the corresponding relationship between the placement location and the demographic feature, and is determined to be the The delivery content of the placement.
  • the available placement data includes: electronic data, tourism data, beauty data, etc.
  • the population feature corresponding to the placement location_1 is electronic, and it can be determined that the delivery content of the placement location_1 is Electronic data.
  • the matching in this embodiment is not limited to being identical, and refers to the same within the preset range.
  • the delivery content of placement_1 can also include IT class data and the like.
  • the determining, according to the user data analysis result, the delivery effect of the placement location including:
  • acquiring a user corresponding to the placement location and performing at least one of the following items according to the correspondence between the user and the behavior: transformation analysis, impact analysis; or
  • the detection information further includes a dwell time, and the duration analysis is performed according to the dwell time.
  • the information is an advertisement, for example, by analyzing the user's conversion behavior, such as the purchase behavior on the e-commerce site, the registration behavior of the website, etc., to evaluate the conversion effect of the advertisement.
  • the data of the identification information of the mobile device can be obtained, and the total amount of users corresponding to the advertisement bit can be obtained, and by analyzing the conversion behavior of each user corresponding to the advertisement bit, the above-mentioned
  • the number of users who converted behavior, and the ratio of the number of users with the above conversion behavior to the total number of users was determined as the conversion rate.
  • the conversion rate for example, by analyzing the user's conversion behavior, such as the purchase behavior on the e-commerce site, the registration behavior of the website, etc.
  • the evaluation of the influence of the advertisement on the brand is evaluated.
  • the calculation principle of the above conversion rate can be referred to. or,
  • the actual exposure amount of the advertisement is obtained by analyzing the identification information of the mobile device collected by the detection device, for example, the total amount of the identification information of the mobile device collected by the detection device of each advertisement slot is determined as the actual exposure amount. or,
  • the detecting device By analyzing the detection information collected by the detection device, the data of the duration of the audience before the advertisement space is obtained, and the attraction of the advertisement to the audience is evaluated. For example, when detecting the identification information of the mobile device, the detecting device further detects a corresponding dwell time, for example, corresponding to the identification information of each mobile device, recording the time when the detection information is started to be detected, and the record does not detect the identification information. Time, the difference between the two is determined as the dwell time corresponding to the identification information of the mobile device, and the detecting device may send the identification information of the mobile device and the corresponding dwell time to the server, and the server identifies the mobile device by using The analysis of the dwell time corresponding to the information can obtain the attraction to the audience. For example, if the stay time corresponding to the preset information is greater than the preset time, the advertisement is more attractive.
  • FIG. 2 is a schematic flowchart of an information delivery method according to another embodiment of the present invention. The method may be performed by a detection device set in a placement location, and the method includes:
  • S21 Perform detection on a mobile device used by a user passing by, and obtain detection information, where the detection information includes identifier information of the mobile device;
  • the detecting, by using the mobile device used by the user passing by the user, the detection information includes:
  • the preset wireless communication mode is used to detect the mobile device used by the user passing by, and obtain the detection information, where the preset wireless communication mode includes: near field communication, wifi, or Bluetooth.
  • S22 Send the detection information to the server, so that the server acquires online behavior data of the user using the mobile device according to the identification information of the mobile device, and analyzes the online behavior data to obtain The user data analysis result, and, according to the user data analysis result, determining the delivery content of the placement location for serving the information, and/or the delivery effect.
  • the server by detecting the identification information of the mobile device and transmitting the information to the server, the server can facilitate data analysis, thereby improving the accuracy of information delivery and measuring the effect of information delivery.
  • an information delivery system includes a detection device and a server.
  • the detection device is disposed in a placement location for serving information, and the detection device communicates with the server through a network.
  • the detection device can also be referred to as a sniffing device.
  • the flow of the information delivery method proposed in this embodiment includes:
  • the detecting device detects the mobile device used by the user passing by, and obtains the detection information, where the detection information includes the identification information of the mobile device.
  • the detecting device sends the detection information to the server.
  • the detecting device can send the detection information to the server through the network.
  • the server receives the detection information sent by the detection device, acquires online behavior data of the user using the mobile device, analyzes the online behavior data, obtains a user data analysis result, and analyzes the user data according to the user data. As a result, the delivery content of the placement location, and/or the delivery effect is determined.
  • the existing solution is only applicable to the analysis of the specific focus (important location, high delivery price) placement location, and is widely distributed and inexpensively placed.
  • the location cannot be analyzed one by one, which is not suitable for large-area promotion; in this embodiment, the analysis is based on user data to determine the content of the delivery, which can improve the accuracy of information delivery, and can break through the limitations of manual planning analysis methods. Promoted in large areas.
  • the value of some unpopular placements is difficult to be discovered, so the information is often crowded to place popular placements, thereby causing waste of placement resources. For example, it is often seen that many expired information is still being placed.
  • the value of the placement location can be discovered through the collection and analysis of the audience data.
  • the final effect (conversion, brand influence) of the information delivery cannot be accurately evaluated, and the information owner does not know that the information influence of the brand is brought after the information is delivered. How much improvement is brought about, and how much improvement is brought about by the final income; in this embodiment, by collecting and analyzing the audience data, the effect of the placement can be measured.
  • FIG. 4 is a schematic structural diagram of an information placing apparatus according to another embodiment of the present invention.
  • the apparatus may be located in a server.
  • the apparatus 40 includes a receiving module 41, an obtaining module 42, an analyzing module 43, and a determining module 44.
  • the receiving module 41 is configured to receive the detection information that is sent by the detecting device, where the detecting device is configured to detect, by the detecting device, the mobile device used by the user passing by, and the detecting information includes the identification information of the mobile device, where The detection device is set in the placement location where the information is served;
  • the identification information of the mobile device is a unique identifier of the mobile device, such as a Bluetooth address of the mobile device, or a Media Access Control (MAC) address.
  • MAC Media Access Control
  • the information to be served is an advertisement
  • the placement may specifically refer to an advertisement space, for example, a billboard.
  • a detection device may be preset in each placement location, and the detection device may detect the mobile device by using a preset wireless communication manner to obtain identification information of the mobile device.
  • the preset wireless communication method is, for example, Near Field Communication (NFC), wifi, or Bluetooth.
  • Each detecting device can detect identification information of one or more mobile devices, and multiple means at least two.
  • the detection device may send the identification information to the server, and may also carry the identification information of the detection device itself when transmitting the detection information, and the detection device and the placement location may be pre-stored in the server. Corresponding relationship, so that the server can establish a correspondence between the placement location and the identification information of the mobile device.
  • the placement location_1 corresponds to the mobile device_1, the mobile device_2, and the like.
  • the obtaining module 42 is configured to acquire online behavior data of a user who uses the mobile device according to the identification information of the mobile device;
  • the analyzing module 43 is configured to analyze the online behavior data to obtain a user data analysis result
  • the server can collect online behavior data of all users in advance, and the device used by the user can also send the identification information of the device when the user's online behavior data is sent to the server.
  • the server collects the information.
  • the server may obtain the online behavior data of the user corresponding to the identifier information of the received mobile device from a large amount of data collected by the preset. Moreover, the server can establish a correspondence between the placement location and the online behavior data of the user according to the correspondence between the previously established placement location and the identification information of the mobile device, and the online behavior data of the corresponding user acquired at this time.
  • the online behavior data of the user corresponding to the mobile device_1 includes: data of the user A
  • the online behavior data of the user corresponding to the mobile device_2 includes: data of the user B
  • the online behavior corresponding to the placement location_1 The data includes: user A's data and user B's data.
  • the analyzing module 43 is specifically configured to:
  • the data of the user A and the data of the user B may be separately analyzed, and the points of interest of the corresponding user may be obtained.
  • the data of the user A indicates that the user A frequently browses the financial information
  • the point of interest of the user A includes the financial.
  • Each user's point of interest can be one or more.
  • user A's points of interest include: finance, travel, etc.
  • user B's points of interest include games, electronics, and the like.
  • the user ID can be used as a keyword, and the points of interest are values, and are stored in the database.
  • each user corresponding to the placement location is analyzed, and after obtaining the interest points corresponding to each user, the points of interest of all users corresponding to the placement location may be clustered, and the corresponding location of the placement location is obtained. Crowd characteristics. For example, if most of the users corresponding to the placement location_1 are interested in the electronic, the demographic feature corresponding to the placement location_1 is electronic. Once you get the demographics for each placement, you can use the placement ID as the keyword, and the demographics Stored in the database as a value.
  • each user can also analyze their user behavior, such as: purchase and browsing behavior on the e-commerce site, registration behavior on the game site, and detection behavior on the search engine.
  • user behavior such as: purchase and browsing behavior on the e-commerce site, registration behavior on the game site, and detection behavior on the search engine.
  • the user ID can be used as a keyword, and the behavior is a value and stored in the database.
  • the determining module 44 is configured to determine, according to the user data analysis result, the delivery content of the placement location, and/or the delivery effect.
  • the determining module 44 is configured to determine, according to the user data analysis result, the delivery content of the placement location, including:
  • the placement location data matching the population feature corresponding to the placement location is selected according to the corresponding relationship between the placement location and the demographic feature, and is determined to be the The delivery content of the placement.
  • the available placement data includes: electronic data, tourism data, beauty data, etc.
  • the population feature corresponding to the placement location_1 is electronic, and it can be determined that the delivery content of the placement location_1 is Electronic data.
  • the matching in this embodiment is not limited to being identical, and refers to the same within the preset range.
  • the delivery content of placement_1 can also include IT class data and the like.
  • the determining module 44 is configured to determine, according to the user data analysis result, a delivery effect of the placement location, including:
  • acquiring a user corresponding to the placement location and performing at least one of the following items according to the correspondence between the user and the behavior: transformation analysis, impact analysis; or
  • the detection information further includes a dwell time, and the duration analysis is performed according to the dwell time.
  • the information is an advertisement, for example, by analyzing the user's conversion behavior, such as the purchase behavior on the e-commerce site, the registration behavior of the website, etc., to evaluate the conversion effect of the advertisement.
  • the data of the identification information of the mobile device can be obtained, and the total amount of users corresponding to the advertisement bit can be obtained, and by analyzing the conversion behavior of each user corresponding to the advertisement bit, the above-mentioned
  • the number of users who converted behavior, and the ratio of the number of users with the above conversion behavior to the total number of users was determined as the conversion rate. or,
  • the evaluation of the influence of the advertisement on the brand is evaluated.
  • the calculation principle of the above conversion rate can be referred to. or,
  • the actual exposure amount of the advertisement is obtained by analyzing the identification information of the mobile device collected by the detection device, for example, the total amount of the identification information of the mobile device collected by the detection device of each advertisement slot is determined as the actual exposure amount. or,
  • the detection device By analyzing the detection information collected by the detection device, the data of the duration of the audience before the advertisement space is obtained, and the attraction of the advertisement to the audience is evaluated. For example, when detecting the identification information of the mobile device, the detecting device also detects the corresponding stop.
  • Retention time for example, corresponding to the identification information of each mobile device, recording the time when the identification information is detected, and recording the time when the identification information is not detected, and determining the difference between the two as the identification information of the mobile device
  • the detecting device may send the identification information of the mobile device and the corresponding dwell time to the server, and the server may obtain the attraction to the audience by analyzing the dwell time corresponding to the identification information of each mobile device, for example, If the stay time corresponding to the identifier information greater than the preset ratio is greater than the preset time, the advertisement is more attractive.
  • FIG. 5 is a schematic structural diagram of an information placing apparatus according to another embodiment of the present invention.
  • the apparatus may be located in a placement location, and the apparatus 50 includes a detecting module 51 and a sending module 52.
  • the detecting module 51 is configured to detect, by using a mobile device used by a user passing by, to obtain detection information, where the detection information includes identification information of the mobile device;
  • the detecting module 51 is specifically configured to:
  • the preset wireless communication mode is used to detect the mobile device used by the user passing by, and obtain the detection information, where the preset wireless communication mode includes: near field communication, wifi, or Bluetooth.
  • the sending module 52 is configured to send the detection information to the server, so that the server acquires online behavior data of the user using the mobile device according to the identification information of the mobile device, and uses the online behavior data to Performing an analysis to obtain a user data analysis result, and, according to the user data analysis result, determining a delivery content of a placement location for serving information, and/or a delivery effect
  • the server by detecting the identification information of the mobile device and transmitting the information to the server, the server can facilitate data analysis, thereby improving the accuracy of information delivery and measuring the effect of information delivery.
  • FIG. 6 is a schematic structural diagram of an information delivery system according to another embodiment of the present invention.
  • the system 60 includes: a detection device 61 and a server 62.
  • the detecting device 61 can be as shown in FIG. 5, and the server 62 can be as shown in FIG. 4.
  • the existing solution is only applicable to the analysis of the specific focus (important location, high delivery price) placement location, and is widely distributed and inexpensively placed.
  • the location cannot be analyzed one by one, which is not suitable for large-area promotion; in this embodiment, the analysis is based on user data to determine the content of the delivery, which can improve the accuracy of information delivery, and can break through the limitations of manual planning analysis methods. Promoted in large areas.
  • the value of some unpopular placements is difficult to be discovered, so the information is often crowded to place popular placements, thereby causing waste of placement resources. For example, it is often seen that many expired information is still being placed.
  • the value of the placement location can be discovered through the collection and analysis of the audience data.
  • the letter The final effect (conversion, brand influence) of the interest delivery cannot be accurately evaluated.
  • the information owner does not know how much the brand influence will be brought about after the information is delivered, and how much the final income will be improved.
  • An embodiment of the present invention further provides an electronic device, including: one or more processors; a memory; one or more programs, the one or more programs being stored in the memory when the one or more When the processor executes:
  • the detecting device is configured to detect and acquire a mobile device used by a user passing by, the detecting information includes identification information of the mobile device, and the detecting device is configured to be used for Within the placement of the serving information;
  • the detecting device is configured to detect and acquire a mobile device used by a user passing by, the detecting information includes identification information of the mobile device, and the detecting device is configured to be used for Within the placement of the serving information;
  • An embodiment of the present invention further provides an electronic device, including: one or more processors; a memory; one or more programs, the one or more programs being stored in the memory when the one or more When the processor executes:
  • the server Sending the detection information to the server, so that the server acquires online behavior data of the user using the mobile device according to the identification information of the mobile device, analyzes the online behavior data, and obtains user data.
  • the analysis result and, according to the user data analysis result, determining the delivery content of the placement location for serving the information, and/or the delivery effect.
  • the server Sending the detection information to the server, so that the server acquires online behavior data of the user using the mobile device according to the identification information of the mobile device, analyzes the online behavior data, and obtains user data.
  • the analysis result and, according to the user data analysis result, determining the delivery content of the placement location for serving the information, and/or the delivery effect.
  • portions of the invention may be implemented in hardware, software, firmware or a combination thereof.
  • multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques well known in the art: having logic gates for implementing logic functions on data signals. Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.
  • each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically separately, or two or more units may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules.
  • the integrated modules, if implemented in the form of software functional modules and sold or used as stand-alone products, may also be stored in a computer readable storage medium.
  • the above mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

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Abstract

本发明提出一种信息投放方法、装置和系统,该信息投放方法包括接收检测设备发送的检测信息,所述检测信息是所述检测设备对周围经过的用户使用的移动设备进行检测获取的,所述检测信息包括移动设备的标识信息,所述检测设备设置在用于投放信息的投放位置内;根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据;对所述线上行为数据进行分析,得到用户数据分析结果;根据所述用户数据分析结果,确定所述投放位置的投放内容,和/或,投放效果。该方法能够提高信息投放的精准度,还可以衡量信息的投放效果。

Description

信息投放方法、装置和系统
相关申请的交叉引用
本申请要求百度在线网络技术(北京)有限公司于2015年4月2日提交的、发明名称为“信息投放方法、装置和系统”的、中国专利申请号“201510154742.4”的优先权。
技术领域
本发明涉及数据处理技术领域,尤其涉及一种信息投放方法、装置和系统。
背景技术
现有技术中,利用先验的市场分析结果决定特定用于投放信息的投放位置的投放内容,市场分析包括路段分析,周边环境分析,投资商分析等。
但是,现有技术中的这种方式不适用于大面积推广,还会造成投放位置资源浪费,以及投放效果无法精确评估。
发明内容
本发明旨在至少在一定程度上解决相关技术中的技术问题之一。
为此,本发明的一个目的在于提出一种信息投放方法,该方法可以提高信息投放的精准度,还可以衡量信息的投放效果。
本发明的另一个目的在于提出一种信息投放装置。
本发明的另一个目的在于提出一种信息投放系统。
为达到上述目的,本发明第一方面实施例提出的信息投放方法,包括:接收检测设备发送的检测信息,所述检测信息是所述检测设备对周围经过的用户使用的移动设备进行检测获取的,所述检测信息包括移动设备的标识信息,所述检测设备设置在用于投放信息的投放位置内;根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据;对所述线上行为数据进行分析,得到用户数据分析结果;根据所述用户数据分析结果,确定所述投放位置的投放内容,和/或,投放效果。
本发明第一方面实施例提出的信息投放方法,通过获取用户的线上行为数据,并根据对线上行为数据的分析,确定投放位置的投放内容,提高信息投放的精准度,并且可以突破人工策划分析方式的限制,适应于大面积推广;通过根据对线上行为数据的分析,确定投放位置的投放效果,可以收集受众数据,发掘投放位置的价值,并且衡量投放位置的投 放效果。
为达到上述目的,本发明第二方面实施例提出的信息投放方法,包括:对周围经过的用户使用的移动设备进行检测,获取检测信息,所述检测信息包括移动设备的标识信息;将所述检测信息发送给服务器,以使所述服务器根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据,对所述线上行为数据进行分析,得到用户数据分析结果,以及,根据所述用户数据分析结果,确定用于投放信息的投放位置的投放内容,和/或,投放效果。
本发明第二方面实施例提出的信息投放方法,通过检测移动设备的标识信息并发送给服务器,可以便于服务器进行数据分析,从而提高信息投放的精准度以及衡量信息投放效果。
为达到上述目的,本发明第三方面实施例提出的信息投放装置,包括:接收模块,用于接收检测设备发送的检测信息,所述检测信息是所述检测设备对周围经过的用户使用的移动设备进行检测获取的,所述检测信息包括移动设备的标识信息,所述检测设备设置在用于投放信息的投放位置内;获取模块,用于根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据;分析模块,用于对所述线上行为数据进行分析,得到用户数据分析结果;确定模块,用于根据所述用户数据分析结果,确定所述投放位置的投放内容,和/或,投放效果。
本发明第三方面实施例提出的信息投放装置,通过获取用户的线上行为数据,并根据对线上行为数据的分析,确定投放位置的投放内容,提高信息投放的精准度,并且可以突破人工策划分析方式的限制,适应于大面积推广;通过根据对线上行为数据的分析,确定投放位置的投放效果,可以收集受众数据,发掘投放位置的价值,并且衡量投放位置的投放效果。
为达到上述目的,本发明第四方面实施例提出的信息投放装置,包括:检测模块,用于对周围经过的用户使用的移动设备进行检测,获取检测信息,所述检测信息包括移动设备的标识信息;发送模块,用于将所述检测信息发送给服务器,以使所述服务器根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据,对所述线上行为数据进行分析,得到用户数据分析结果,以及,根据所述用户数据分析结果,确定用于投放信息的投放位置的投放内容,和/或,投放效果。
本发明第四方面实施例提出的信息投放装置,通过检测移动设备的标识信息并发送给服务器,可以便于服务器进行数据分析,从而提高信息投放的精准度以及衡量信息投放效果。
为达到上述目的,本发明第五方面实施例提出的信息投放系统,包括:第三方面实施 例提出的装置,以及,第四方面实施例提出的装置。
本发明实施例还提出了一种电子设备,包括:一个或者多个处理器;存储器;一个或者多个程序,所述一个或者多个程序存储在所述存储器中,当被所述一个或者多个处理器执行时:执行如本发明第一方面实施例任一项所述的方法。
本发明实施例还提出了一种非易失性计算机存储介质,所述计算机存储介质存储有一个或者多个模块,当所述一个或者多个模块被执行时:执行如本发明第一方面实施例任一项所述的方法。本发明实施例还提出了一种电子设备,包括:一个或者多个处理器;存储器;一个或者多个程序,所述一个或者多个程序存储在所述存储器中,当被所述一个或者多个处理器执行时:执行如本发明第二方面实施例任一项所述的方法。
本发明实施例还提出了一种非易失性计算机存储介质,所述计算机存储介质存储有一个或者多个模块,当所述一个或者多个模块被执行时:执行如本发明第二方面实施例任一项所述的方法。
本发明附加的方面和优点将在下面的描述中部分给出,部分将从下面的描述中变得明显,或通过本发明的实践了解到。
附图说明
本发明上述的和/或附加的方面和优点从下面结合附图对实施例的描述中将变得明显和容易理解,其中:
图1是本发明一实施例提出的信息投放方法的流程示意图;
图2是本发明另一实施例提出的信息投放方法的流程示意图;
图3是本发明另一实施例提出的信息投放方法的流程示意图;
图4是本发明另一实施例提出的信息投放装置的结构示意图;
图5是本发明另一实施例提出的信息投放装置的结构示意图;
图6是本发明另一实施例提出的信息投放系统的结构示意图。
具体实施方式
下面详细描述本发明的实施例,所述实施例的示例在附图中示出,其中自始至终相同或类似的标号表示相同或类似的模块或具有相同或类似功能的模块。下面通过参考附图描述的实施例是示例性的,仅用于解释本发明,而不能理解为对本发明的限制。相反,本发明的实施例包括落入所附加权利要求书的精神和内涵范围内的所有变化、修改和等同物。
图1是本发明一实施例提出的信息投放方法的流程示意图,该方法可以由服务器执行,该方法包括:
S11:接收检测设备发送的检测信息,所述检测信息是所述检测设备对周围经过的用户使用的移动设备进行检测获取的,所述检测信息包括移动设备的标识信息,所述检测设备设置在用于投放信息的投放位置内。
其中,移动设备的标识信息是移动设备的唯一标识,例如移动设备的蓝牙地址,或者,介质接入控制(Media Access Control,MAC)地址等。
以广告投放为例,投放的信息是广告,投放位置可以具体是指广告位,例如,广告牌。
对应要使用本发明实施例处理的每个投放位置,可以在每个投放位置内预先设置检测设备,检测设备可以通过预设的无线通信方式,对移动设备进行检测,以获取移动设备的标识信息,预设的无线通信方式例如为:近场通信(Near Field Communication,NFC),wifi,或者蓝牙等。
每个检测设备可以检测到一个或多个移动设备的标识信息,多个是指至少两个。
检测设备检测到移动设备的标识信息后,可以将该标识信息发送给服务器,并且在发送检测信息时还可以同时携带检测设备自身的标识信息,并且,服务器中可以预先保存检测设备与投放位置的对应关系,从而服务器可以建立投放位置与移动设备的标识信息的对应关系,例如,投放位置_1对应移动设备_1,移动设备_2等。
S12:根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据。
服务器可以预先收集所有用户的线上行为数据,并且用户使用的设备在将用户的线上行为数据发送给服务器时,还可以同时发送设备的标识信息,当用户使用移动设备时,服务器会收集到移动设备的标识信息以及对应的用户的线上行为数据。
当服务器接收到检测设备发送的移动设备的标识信息后,可以从预设收集的大量数据中获取接收的移动设备的标识信息对应的用户的线上行为数据。并且,服务器根据之前建立的投放位置与移动设备的标识信息的对应关系,以及此时获取的相应用户的线上行为数据,可以建立投放位置与用户的线上行为数据的对应关系。
例如,移动设备_1对应的用户的线上行为数据包括:用户A的数据,移动设备_2对应的用户的线上行为数据包括:用户B的数据,则投放位置_1对应的线上行为数据包括:用户A的数据以及用户B的数据。
S13:对所述线上行为数据进行分析,得到用户数据分析结果。
可选的,所述对所述线上行为数据进行分析,得到用户数据分析结果,包括:
对应每个用户,根据所述线上行为数据,获取对应用户的兴趣点以及用户行为,并建立用户与兴趣点的对应关系,以及用户与行为的对应关系;
根据所述用户与兴趣点的对应关系,对所述线上行为数据进行聚类,获取所述投放位置对应的用户的人群特征,并建立所述投放位置与所述人群特征的对应关系。
例如,可以分别对用户A的数据和用户B的数据进行分析,可以得到相应用户的兴趣点,例如,用户A的数据表明用户A经常浏览金融类信息,则用户A的兴趣点包括金融。每个用户的兴趣点可以是一个或者多个。例如,用户A的兴趣点包括:金融,旅游等,用户B的兴趣点包括游戏,电子等。获取每个用户的兴趣点后,可以以用户ID为关键字,兴趣点为值,存储在数据库中。
对应每个投放位置,对该投放位置对应的每个用户进行分析,得到每个用户对应的兴趣点之后,可以对该投放位置对应的所有用户的兴趣点进行聚类,得到该投放位置对应的人群特征。例如,投放位置_1对应的用户的大部分对电子感兴趣,则投放位置_1对应的人群特征是电子。获取每个投放位置的人群特征后,可以以投放位置ID为关键字,人群特征为值,存储到数据库中。
另外,对应每个用户还可以分析其用户行为,用户行为例如为:在电商站点上的购买和浏览行为,游戏站点上的注册行为,以及在搜索引擎上的检测行为等。获取每个用户的行为后,可以以用户ID为关键字,行为为值,存储到数据库中。
S14:根据所述用户数据分析结果,确定所述投放位置的投放内容,和/或,投放效果。
可选的,所述根据所述用户数据分析结果,确定所述投放位置的投放内容,包括:
在可供选择的投放位置数据中,对应所述投放位置,根据所述投放位置与所述人群特征的对应关系,选择与所述投放位置对应的人群特征匹配的投放位置数据,确定为所述投放位置的投放内容。
例如,可供选择的投放位置数据包括:电子类数据,旅游类数据,美容类数据等,经过上述分析,投放位置_1对应的人群特征是电子,则可以确定投放位置_1的投放内容是电子类数据。当然,可以理解的是,本实施例中的匹配不限于完全相同,是指在预设范围内的相同。例如,投放位置_1的投放内容还可以包括IT类数据等。
可选的,所述根据所述用户数据分析结果,确定所述投放位置的投放效果,包括:
对应所述投放位置,获取所述投放位置对应的用户,并根据所述用户与行为的对应关系,进行如下项中的至少一项:转化分析,影响分析;或者,
根据对应所述投放位置收集的移动设备的标识信息,进行基础分析;或者,
所述检测信息还包括停留时间,根据所述停留时间进行时长分析。
例如,以信息是广告为例,通过分析用户的转化行为,例如在电商站点上的购买行为,网站的注册行为等,来评估广告的转化效果。具体如,对应每个广告位,通过接收的移动设备的标识信息的数据,可以获取该广告位对应的用户总量,并通过分析该广告位对应的每个用户的转化行为,可以确定具有上述转化行为的用户数量,将具有上述转化行为的用户数量与用户总量的比值确定为转化率。或者,
通过分析用户在搜索引擎上的检测行为,网页浏览行为,来评估广告对品牌影响力的提升作用。具体的可以参照上述转化率的计算原则。或者,
通过对检测设备收集的移动设备的标识信息进行分析,获取广告的实际曝光量,例如,将每个广告位的检测设备收集的移动设备的标识信息的总量确定为实际曝光量。或者,
通过对检测设备收集到的检测信息进行分析,获取受众在广告位前的时长数据,评估广告对于受众的吸引力。例如,检测设备在检测移动设备的标识信息时,还检测对应的停留时间,例如,对应每个移动设备的标识信息,记录开始检测到该标识信息的时间,以及,记录检测不到该标识信息的时间,将两者的差值确定为该移动设备的标识信息对应的停留时间,检测设备之后可以将移动设备的标识信息以及对应的停留时间发送给服务器,服务器通过对每个移动设备的标识信息对应的停留时间进行分析,可以得到对受众的吸引力,例如,大于预设比例的标识信息对应的停留时间大于预设时间,则表明广告的吸引力较大。
本实施例中,通过获取用户的线上行为数据,并根据对线上行为数据的分析,确定投放位置的投放内容,提高信息投放的精准度,并且可以突破人工策划分析方式的限制,适应于大面积推广;通过根据对线上行为数据的分析,确定投放位置的投放效果,可以收集受众数据,发掘投放位置的价值,并且衡量投放位置的投放效果。
图2是本发明另一实施例提出的信息投放方法的流程示意图,该方法可以由投放位置内设置的检测设备执行,该方法包括:
S21:对周围经过的用户使用的移动设备进行检测,获取检测信息,所述检测信息包括移动设备的标识信息;
可选的,所述对周围经过的用户使用的移动设备进行检测,获取检测信息,包括:
采用预设的无线通信方式,对周围经过的用户使用的移动设备进行检测,获取检测信息,所述预设的无线通信方式包括:近场通信,wifi,或者蓝牙。
S22:将所述检测信息发送给服务器,以使所述服务器根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据,对所述线上行为数据进行分析,得到用户数据分析结果,以及,根据所述用户数据分析结果,确定用于投放信息的投放位置的投放内容,和/或,投放效果。
本实施例中,通过检测移动设备的标识信息并发送给服务器,可以便于服务器进行数据分析,从而提高信息投放的精准度以及衡量信息投放效果。
上述分别以单侧进行了描述,下面结合两侧进行描述。参见图3,为本发明实施例提出的信息投放系统包括检测设备和服务器,检测设备设置在用于投放信息的投放位置内,检测设备与服务器通过网络通信。检测设备也可以称为嗅探设备。
参见图3,本实施例提出的信息投放方法的流程包括:
S31:检测设备对周围经过的用户使用的移动设备进行检测,获取检测信息,所述检测信息包括移动设备的标识信息。
具体可以参见S21,在此不再赘述。
S32:检测设备将所述检测信息发送给服务器。
其中,检测设备可以通过网络将检测信息发送给服务器。
S33:服务器接收检测设备发送的检测信息,并获取使用所述移动设备的用户的线上行为数据,对所述线上行为数据进行分析,得到用户数据分析结果,以及,根据所述用户数据分析结果,确定所述投放位置的投放内容,和/或,投放效果。
具体可以参见S11-S14,在此不再赘述。
现有技术中,由于采用线下人工策划的方式进行分析,现有的方案仅适用于针对特定的重点(重要位置、投放价格高)投放位置进行分析,对于诸多分布广泛且投放价格便宜的投放位置不可能进行逐一分析,造成不适用于大面积推广;而本实施例中是根据用户数据进行分析来确定投放内容,可以提高信息投放的精准度,并且可以突破人工策划分析方式的限制,适应于大面积推广。现有技术中,一些冷门的投放位置的价值比较难以被发掘,因此信息上往往扎堆投放热门投放位置,从而造成投放位置资源浪费,举例来说,经常可以看到很多过期的信息仍然在投放位置上;而本实施例中,通过对受众数据的收集和分析,可以发掘投放位置的价值。现有技术中,在利用先验的市场分析结果进行投放之后,对信息投放的最终效果(转化,品牌影响力)无法进行精确评估,信息主不知道信息投放之后对自己的品牌影响力带来多大提升,对最终收益带来多大的提升;而本实施例中,通过对受众数据的收集和分析,可以衡量投放位置的投放效果。
图4是本发明另一实施例提出的信息投放装置的结构示意图,该装置可以位于服务器中,该装置40包括接收模块41,获取模块42,分析模块43和确定模块44。
接收模块41,用于接收检测设备发送的检测信息,所述检测信息是所述检测设备对周围经过的用户使用的移动设备进行检测获取的,所述检测信息包括移动设备的标识信息,所述检测设备设置在用于投放信息的投放位置内;
其中,移动设备的标识信息是移动设备的唯一标识,例如移动设备的蓝牙地址,或者,介质接入控制(Media Access Control,MAC)地址等。
以广告投放为例,投放的信息是广告,投放位置可以具体是指广告位,例如,广告牌。
对应要使用本发明实施例处理的每个投放位置,可以在每个投放位置内预先设置检测设备,检测设备可以通过预设的无线通信方式,对移动设备进行检测,以获取移动设备的标识信息,预设的无线通信方式例如为:近场通信(Near Field Communication,NFC),wifi,或者蓝牙等。
每个检测设备可以检测到一个或多个移动设备的标识信息,多个是指至少两个。
检测设备检测到移动设备的标识信息后,可以将该标识信息发送给服务器,并且在发送检测信息时还可以同时携带检测设备自身的标识信息,并且,服务器中可以预先保存检测设备与投放位置的对应关系,从而服务器可以建立投放位置与移动设备的标识信息的对应关系,例如,投放位置_1对应移动设备_1,移动设备_2等。
获取模块42,用于根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据;
分析模块43,用于对所述线上行为数据进行分析,得到用户数据分析结果;
服务器可以预先收集所有用户的线上行为数据,并且用户使用的设备在将用户的线上行为数据发送给服务器时,还可以同时发送设备的标识信息,当用户使用移动设备时,服务器会收集到移动设备的标识信息以及对应的用户的线上行为数据。
当服务器接收到检测设备发送的移动设备的标识信息后,可以从预设收集的大量数据中获取接收的移动设备的标识信息对应的用户的线上行为数据。并且,服务器根据之前建立的投放位置与移动设备的标识信息的对应关系,以及此时获取的相应用户的线上行为数据,可以建立投放位置与用户的线上行为数据的对应关系。
例如,移动设备_1对应的用户的线上行为数据包括:用户A的数据,移动设备_2对应的用户的线上行为数据包括:用户B的数据,则投放位置_1对应的线上行为数据包括:用户A的数据以及用户B的数据。
可选的,所述分析模块43具体用于:
对应每个用户,根据所述线上行为数据,获取对应用户的兴趣点以及用户行为,并建立用户与兴趣点的对应关系,以及用户与行为的对应关系;
根据所述用户与兴趣点的对应关系,对所述线上行为数据进行聚类,获取所述投放位置对应的用户的人群特征,并建立所述投放位置与所述人群特征的对应关系。
例如,可以分别对用户A的数据和用户B的数据进行分析,可以得到相应用户的兴趣点,例如,用户A的数据表明用户A经常浏览金融类信息,则用户A的兴趣点包括金融。每个用户的兴趣点可以是一个或者多个。例如,用户A的兴趣点包括:金融,旅游等,用户B的兴趣点包括游戏,电子等。获取每个用户的兴趣点后,可以以用户ID为关键字,兴趣点为值,存储在数据库中。
对应每个投放位置,对该投放位置对应的每个用户进行分析,得到每个用户对应的兴趣点之后,可以对该投放位置对应的所有用户的兴趣点进行聚类,得到该投放位置对应的人群特征。例如,投放位置_1对应的用户的大部分对电子感兴趣,则投放位置_1对应的人群特征是电子。获取每个投放位置的人群特征后,可以以投放位置ID为关键字,人群特征 为值,存储到数据库中。
另外,对应每个用户还可以分析其用户行为,用户行为例如为:在电商站点上的购买和浏览行为,游戏站点上的注册行为,以及在搜索引擎上的检测行为等。获取每个用户的行为后,可以以用户ID为关键字,行为为值,存储到数据库中。
确定模块44,用于根据所述用户数据分析结果,确定所述投放位置的投放内容,和/或,投放效果。
可选的,所述确定模块44用于根据所述用户数据分析结果,确定所述投放位置的投放内容,包括:
在可供选择的投放位置数据中,对应所述投放位置,根据所述投放位置与所述人群特征的对应关系,选择与所述投放位置对应的人群特征匹配的投放位置数据,确定为所述投放位置的投放内容。
例如,可供选择的投放位置数据包括:电子类数据,旅游类数据,美容类数据等,经过上述分析,投放位置_1对应的人群特征是电子,则可以确定投放位置_1的投放内容是电子类数据。当然,可以理解的是,本实施例中的匹配不限于完全相同,是指在预设范围内的相同。例如,投放位置_1的投放内容还可以包括IT类数据等。
可选的,所述确定模块44用于根据所述用户数据分析结果,确定所述投放位置的投放效果,包括:
对应所述投放位置,获取所述投放位置对应的用户,并根据所述用户与行为的对应关系,进行如下项中的至少一项:转化分析,影响分析;或者,
根据对应所述投放位置收集的移动设备的标识信息,进行基础分析;或者,
所述检测信息还包括停留时间,根据所述停留时间进行时长分析。
例如,以信息是广告为例,通过分析用户的转化行为,例如在电商站点上的购买行为,网站的注册行为等,来评估广告的转化效果。具体如,对应每个广告位,通过接收的移动设备的标识信息的数据,可以获取该广告位对应的用户总量,并通过分析该广告位对应的每个用户的转化行为,可以确定具有上述转化行为的用户数量,将具有上述转化行为的用户数量与用户总量的比值确定为转化率。或者,
通过分析用户在搜索引擎上的检测行为,网页浏览行为,来评估广告对品牌影响力的提升作用。具体的可以参照上述转化率的计算原则。或者,
通过对检测设备收集的移动设备的标识信息进行分析,获取广告的实际曝光量,例如,将每个广告位的检测设备收集的移动设备的标识信息的总量确定为实际曝光量。或者,
通过对检测设备收集到的检测信息进行分析,获取受众在广告位前的时长数据,评估广告对于受众的吸引力。例如,检测设备在检测移动设备的标识信息时,还检测对应的停 留时间,例如,对应每个移动设备的标识信息,记录开始检测到该标识信息的时间,以及,记录检测不到该标识信息的时间,将两者的差值确定为该移动设备的标识信息对应的停留时间,检测设备之后可以将移动设备的标识信息以及对应的停留时间发送给服务器,服务器通过对每个移动设备的标识信息对应的停留时间进行分析,可以得到对受众的吸引力,例如,大于预设比例的标识信息对应的停留时间大于预设时间,则表明广告的吸引力较大。
本实施例中,通过获取用户的线上行为数据,并根据对线上行为数据的分析,确定投放位置的投放内容,提高信息投放的精准度,并且可以突破人工策划分析方式的限制,适应于大面积推广;通过根据对线上行为数据的分析,确定投放位置的投放效果,可以收集受众数据,发掘投放位置的价值,并且衡量投放位置的投放效果。
图5是本发明另一实施例提出的信息投放装置的结构示意图,该装置可以位于投放位置内,该装置50包括:检测模块51和发送模块52。
检测模块51,用于对周围经过的用户使用的移动设备进行检测,获取检测信息,所述检测信息包括移动设备的标识信息;
可选的,所述检测模块51具体用于:
采用预设的无线通信方式,对周围经过的用户使用的移动设备进行检测,获取检测信息,所述预设的无线通信方式包括:近场通信,wifi,或者蓝牙。
发送模块52,用于将所述检测信息发送给服务器,以使所述服务器根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据,对所述线上行为数据进行分析,得到用户数据分析结果,以及,根据所述用户数据分析结果,确定用于投放信息的投放位置的投放内容,和/或,投放效果
本实施例中,通过检测移动设备的标识信息并发送给服务器,可以便于服务器进行数据分析,从而提高信息投放的精准度以及衡量信息投放效果。
图6是本发明另一实施例提出的信息投放系统的结构示意图,该系统60包括:检测设备61和服务器62。其中,检测设备61可以如图5所示,服务器62可以如图4所示。
现有技术中,由于采用线下人工策划的方式进行分析,现有的方案仅适用于针对特定的重点(重要位置、投放价格高)投放位置进行分析,对于诸多分布广泛且投放价格便宜的投放位置不可能进行逐一分析,造成不适用于大面积推广;而本实施例中是根据用户数据进行分析来确定投放内容,可以提高信息投放的精准度,并且可以突破人工策划分析方式的限制,适应于大面积推广。现有技术中,一些冷门的投放位置的价值比较难以被发掘,因此信息上往往扎堆投放热门投放位置,从而造成投放位置资源浪费,举例来说,经常可以看到很多过期的信息仍然在投放位置上;而本实施例中,通过对受众数据的收集和分析,可以发掘投放位置的价值。现有技术中,在利用先验的市场分析结果进行投放之后,对信 息投放的最终效果(转化,品牌影响力)无法进行精确评估,信息主不知道信息投放之后对自己的品牌影响力带来多大提升,对最终收益带来多大的提升;而本实施例中,通过对受众数据的收集和分析,可以衡量投放位置的投放效果。
本发明实施例还提出了一种电子设备,包括:一个或者多个处理器;存储器;一个或者多个程序,所述一个或者多个程序存储在所述存储器中,当被所述一个或者多个处理器执行时:
接收检测设备发送的检测信息,所述检测信息是所述检测设备对周围经过的用户使用的移动设备进行检测获取的,所述检测信息包括移动设备的标识信息,所述检测设备设置在用于投放信息的投放位置内;
根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据;
对所述线上行为数据进行分析,得到用户数据分析结果;
根据所述用户数据分析结果,确定所述投放位置的投放内容,和/或,投放效果。
本发明实施例还提出了一种非易失性计算机存储介质,所述计算机存储介质存储有一个或者多个模块,当所述一个或者多个模块被执行时:
接收检测设备发送的检测信息,所述检测信息是所述检测设备对周围经过的用户使用的移动设备进行检测获取的,所述检测信息包括移动设备的标识信息,所述检测设备设置在用于投放信息的投放位置内;
根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据;
对所述线上行为数据进行分析,得到用户数据分析结果;
根据所述用户数据分析结果,确定所述投放位置的投放内容,和/或,投放效果。
本发明实施例还提出了一种电子设备,包括:一个或者多个处理器;存储器;一个或者多个程序,所述一个或者多个程序存储在所述存储器中,当被所述一个或者多个处理器执行时:
对周围经过的用户使用的移动设备进行检测,获取检测信息,所述检测信息包括移动设备的标识信息;
将所述检测信息发送给服务器,以使所述服务器根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据,对所述线上行为数据进行分析,得到用户数据分析结果,以及,根据所述用户数据分析结果,确定用于投放信息的投放位置的投放内容,和/或,投放效果。
本发明实施例还提出了一种非易失性计算机存储介质,所述计算机存储介质存储有一个或者多个模块,当所述一个或者多个模块被执行时:
对周围经过的用户使用的移动设备进行检测,获取检测信息,所述检测信息包括移动 设备的标识信息;
将所述检测信息发送给服务器,以使所述服务器根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据,对所述线上行为数据进行分析,得到用户数据分析结果,以及,根据所述用户数据分析结果,确定用于投放信息的投放位置的投放内容,和/或,投放效果。
需要说明的是,在本发明的描述中,术语“第一”、“第二”等仅用于描述目的,而不能理解为指示或暗示相对重要性。此外,在本发明的描述中,除非另有说明,“多个”的含义是两个或两个以上。
流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为,表示包括一个或更多个用于实现特定逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分,并且本发明的优选实施方式的范围包括另外的实现,其中可以不按所示出或讨论的顺序,包括根据所涉及的功能按基本同时的方式或按相反的顺序,来执行功能,这应被本发明的实施例所属技术领域的技术人员所理解。
应当理解,本发明的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中,多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。例如,如果用硬件来实现,和在另一实施方式中一样,可用本领域公知的下列技术中的任一项或他们的组合来实现:具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路,具有合适的组合逻辑门电路的专用集成电路,可编程门阵列(PGA),现场可编程门阵列(FPGA)等。
本技术领域的普通技术人员可以理解实现上述实施例方法携带的全部或部分步骤是可以通过程序来指令相关的硬件完成,所述的程序可以存储于一种计算机可读存储介质中,该程序在执行时,包括方法实施例的步骤之一或其组合。
此外,在本发明各个实施例中的各功能单元可以集成在一个处理模块中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个模块中。上述集成的模块既可以采用硬件的形式实现,也可以采用软件功能模块的形式实现。所述集成的模块如果以软件功能模块的形式实现并作为独立的产品销售或使用时,也可以存储在一个计算机可读取存储介质中。
上述提到的存储介质可以是只读存储器,磁盘或光盘等。
在本说明书的描述中,参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中,对上述术语的示意性表述不一定指的是相同的实施例或示例。而且,描述的具体特征、结构、材料或者特点可以在任何 的一个或多个实施例或示例中以合适的方式结合。
尽管上面已经示出和描述了本发明的实施例,可以理解的是,上述实施例是示例性的,不能理解为对本发明的限制,本领域的普通技术人员在本发明的范围内可以对上述实施例进行变化、修改、替换和变型。

Claims (17)

  1. 一种信息投放方法,其特征在于,包括:
    接收检测设备发送的检测信息,所述检测信息是所述检测设备对周围经过的用户使用的移动设备进行检测获取的,所述检测信息包括移动设备的标识信息,所述检测设备设置在用于投放信息的投放位置内;
    根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据;
    对所述线上行为数据进行分析,得到用户数据分析结果;
    根据所述用户数据分析结果,确定所述投放位置的投放内容,和/或,投放效果。
  2. 根据权利要求1所述的方法,其特征在于,所述对所述线上行为数据进行分析,得到用户数据分析结果,包括:
    对应每个用户,根据所述线上行为数据,获取对应用户的兴趣点以及用户行为,并建立用户与兴趣点的对应关系,以及用户与行为的对应关系;
    根据所述用户与兴趣点的对应关系,对所述线上行为数据进行聚类,获取所述投放位置对应的用户的人群特征,并建立所述投放位置与所述人群特征的对应关系。
  3. 根据权利要求2所述的方法,其特征在于,所述根据所述用户数据分析结果,确定所述投放位置的投放内容,包括:
    在可供选择的投放位置数据中,对应所述投放位置,根据所述投放位置与所述人群特征的对应关系,选择与所述投放位置对应的人群特征匹配的投放位置数据,确定为所述投放位置的投放内容。
  4. 根据权利要求2或3所述的方法,其特征在于,所述根据所述用户数据分析结果,确定所述投放位置的投放效果,包括:
    对应所述投放位置,获取所述投放位置对应的用户,并根据所述用户与行为的对应关系,进行如下项中的至少一项:转化分析,影响分析;或者,
    根据对应所述投放位置收集的移动设备的标识信息,进行基础分析;或者,
    所述检测信息还包括停留时间,根据所述停留时间进行时长分析。
  5. 一种信息投放方法,其特征在于,包括:
    对周围经过的用户使用的移动设备进行检测,获取检测信息,所述检测信息包括移动设备的标识信息;
    将所述检测信息发送给服务器,以使所述服务器根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据,对所述线上行为数据进行分析,得到用户数据分析结果,以及,根据所述用户数据分析结果,确定用于投放信息的投放位置的投放内容, 和/或,投放效果。
  6. 根据权利要求5所述的方法,其特征在于,所述对周围经过的用户使用的移动设备进行检测,获取检测信息,包括:
    采用预设的无线通信方式,对周围经过的用户使用的移动设备进行检测,获取检测信息,所述预设的无线通信方式包括:近场通信,wifi,或者蓝牙。
  7. 一种信息投放装置,其特征在于,包括:
    接收模块,用于接收检测设备发送的检测信息,所述检测信息是所述检测设备对周围经过的用户使用的移动设备进行检测获取的,所述检测信息包括移动设备的标识信息,所述检测设备设置在用于投放信息的投放位置内;
    获取模块,用于根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据;
    分析模块,用于对所述线上行为数据进行分析,得到用户数据分析结果;
    确定模块,用于根据所述用户数据分析结果,确定所述投放位置的投放内容,和/或,投放效果。
  8. 根据权利要求7所述的装置,其特征在于,所述分析模块具体用于:
    对应每个用户,根据所述线上行为数据,获取对应用户的兴趣点以及用户行为,并建立用户与兴趣点的对应关系,以及用户与行为的对应关系;
    根据所述用户与兴趣点的对应关系,对所述线上行为数据进行聚类,获取所述投放位置对应的用户的人群特征,并建立所述投放位置与所述人群特征的对应关系。
  9. 根据权利要求8所述的装置,其特征在于,所述确定模块用于根据所述用户数据分析结果,确定所述投放位置的投放内容,包括:
    在可供选择的投放位置数据中,对应所述投放位置,根据所述投放位置与所述人群特征的对应关系,选择与所述投放位置对应的人群特征匹配的投放位置数据,确定为所述投放位置的投放内容。
  10. 根据权利要求8或9所述的装置,其特征在于,所述确定模块用于根据所述用户数据分析结果,确定所述投放位置的投放效果,包括:
    对应所述投放位置,获取所述投放位置对应的用户,并根据所述用户与行为的对应关系,进行如下项中的至少一项:转化分析,影响分析;或者,
    根据对应所述投放位置收集的移动设备的标识信息,进行基础分析;或者,
    所述检测信息还包括停留时间,根据所述停留时间进行时长分析。
  11. 一种信息投放装置,其特征在于,包括:
    检测模块,用于对周围经过的用户使用的移动设备进行检测,获取检测信息,所述检 测信息包括移动设备的标识信息;
    发送模块,用于将所述检测信息发送给服务器,以使所述服务器根据所述移动设备的标识信息,获取使用所述移动设备的用户的线上行为数据,对所述线上行为数据进行分析,得到用户数据分析结果,以及,根据所述用户数据分析结果,确定用于投放信息的投放位置的投放内容,和/或,投放效果。
  12. 根据权利要求11所述的装置,其特征在于,所述检测模块具体用于:
    采用预设的无线通信方式,对周围经过的用户使用的移动设备进行检测,获取检测信息,所述预设的无线通信方式包括:近场通信,wifi,或者蓝牙。
  13. 一种信息投放系统,其特征在于,包括:
    如权利要求7-10任一项所述的装置;以及,
    如权利要求11-12任一项所述的装置。
  14. 一种电子设备,其特征在于,包括:
    一个或者多个处理器;
    存储器;
    一个或者多个程序,所述一个或者多个程序存储在所述存储器中,当被所述一个或者多个处理器执行时:
    执行如权利要求1-4任一项所述的方法。
  15. 一种非易失性计算机存储介质,其特征在于,所述计算机存储介质存储有一个或者多个模块,当所述一个或者多个模块被执行时:
    执行如权利要求1-4任一项所述的方法。
  16. 一种电子设备,其特征在于,包括:
    一个或者多个处理器;
    存储器;
    一个或者多个程序,所述一个或者多个程序存储在所述存储器中,当被所述一个或者多个处理器执行时:
    执行如权利要求5-6任一项所述的方法。
  17. 一种非易失性计算机存储介质,其特征在于,所述计算机存储介质存储有一个或者多个模块,当所述一个或者多个模块被执行时:
    执行如权利要求5-6任一项所述的方法。
PCT/CN2015/090006 2015-04-02 2015-09-18 信息投放方法、装置和系统 Ceased WO2016155260A1 (zh)

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