CN108882186B - Online and offline device characteristic data collection method based on advertisement transaction integration - Google Patents

Online and offline device characteristic data collection method based on advertisement transaction integration Download PDF

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CN108882186B
CN108882186B CN201810604544.7A CN201810604544A CN108882186B CN 108882186 B CN108882186 B CN 108882186B CN 201810604544 A CN201810604544 A CN 201810604544A CN 108882186 B CN108882186 B CN 108882186B
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advertisement
information
equipment
offline
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CN108882186A (en
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孔祥溪
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Beijing Libao Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/20Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
    • H04W4/23Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel for mobile advertising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0277Online advertisement
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/029Location-based management or tracking services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/35Services specially adapted for particular environments, situations or purposes for the management of goods or merchandise
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2101/00Indexing scheme associated with group H04L61/00
    • H04L2101/60Types of network addresses
    • H04L2101/69Types of network addresses using geographic information, e.g. room number

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Business, Economics & Management (AREA)
  • Marketing (AREA)
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Abstract

The invention discloses an online and offline equipment characteristic data collection method based on advertisement transaction integration, which comprises the following steps: the offline equipment manually inputs own position information; a mobile internet advertisement demand platform accesses an advertisement trading platform market; when a user uses the APP to generate advertisement traffic, the advertisement trading market initiates an advertisement trading request to the advertisement demand platform; the advertisement demand platform acquires a device characteristic information message according to the request message; the system extracts key fields which can be converted into equipment position association according to the request message; the system uses the position correlation field to request the position service to be converted into position information; according to the result returned by the position service system, searching the offline equipment meeting the position condition; and merging the portable equipment information into an offline equipment result set meeting the conditions, and performing storage operation on the database. The present invention makes up the problems of insufficient data acquisition rate and low data dimension under the line, and better serves the business and other application fields.

Description

Online and offline device characteristic data collection method based on advertisement transaction integration
Technical Field
The invention relates to the technical field of data acquisition and statistics, in particular to an online and offline equipment characteristic data collection method based on advertisement transaction integration.
Background
The scene data acquisition refers to the acquisition of data of specific time, place and people. The main implementation manner of the scene data collection is mainly to collect characteristic data (MAC code, IMEI, IDFA) of personal equipment (such as mobile phone), and the characteristic data is mapped and collided through big data capacity to be converted into personal or group information.
At present, the mainstream technology for collecting characteristics of off-line scene equipment mainly comprises a Wi-Fi probe and a bluetooth iBeacon identification technology, and the principle of the technologies is that in the process of establishing a communication link, wireless communication equipment needs to expose self equipment ID information such as an MAC address to establish a data link with an AP, and the probe equipment intercepts and analyzes the wireless communication messages so as to acquire and record equipment information. And then mapping the equipment information into corresponding people and groups through certain data analysis capacity.
The scenarized data acquisition technology is mainly applied to passenger flow management, accurate marketing and the like in commercial and civil use, and is mainly used in service scenes such as marking and catching of suspects in the aspect of public safety. These offline device characteristic information acquisition technologies have unique advantages, namely, laying of offline devices brings high accuracy of position information, but defects are very obvious:
firstly, a related device function module must be started by an acquirer, if a WIFI probe requires the acquirer to start the WIFI function module of the device, a Bluetooth iBeacon technology requires Bluetooth equipment which must be started by the acquirer, otherwise, equipment information cannot be acquired, and the acquisition rate is relatively low;
secondly, the dimension of information which can be acquired by an offline acquisition device is small, such as WIFI probe equipment, and only MAC code information and a moving track of the equipment can be acquired;
thirdly, the acquisition range of the offline equipment is greatly restricted by the environment, and the acquisition range is limited by the coverage of the signal.
And corresponding with this, the natural advantage of online data acquisition just in time makes up the line under data not enough, plants the inside APP of root cell-phone and can gather equipment information multidimensionally, whether the snatching of data and catch do not rely on WIFI and bluetooth equipment to open. Therefore, how to compensate the insufficient offline data acquisition, effectively integrate online data, improve the scene data acquisition rate and information and have positive application significance.
Disclosure of Invention
The present invention is directed to a method for integrating the collection of online and offline device feature data based on advertisement transactions, so as to solve the problems mentioned in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
an online and offline device feature data collection method based on advertisement transaction integration comprises the following steps:
s1, manually recording self position information by the offline equipment;
s2, accessing the mobile internet advertisement demand platform to the advertisement trading platform market;
s3, when the user uses APP to generate the advertisement flow, the advertisement trading market sends an advertisement trading request to the advertisement demand platform;
s4, the advertisement demand platform acquires the device characteristic information message according to the request message;
s5, the system extracts key fields which can be converted into the device position association according to the request message;
s6, the system uses the position correlation field to request the position service to be converted into the position information;
s7, according to the result returned by the position service system, searching the off-line equipment meeting the position condition;
and S8, merging the portable equipment information into the qualified result set of the offline equipment, and executing storage operation on the database.
As a further scheme of the invention: in step S1, the offline device automatically obtains its own device location information by using a GPS device module through MAC code location query or IP address location query.
As a further scheme of the invention: in step S4, the collected feature device is a mobile phone, and the obtained device feature information is MAC, IMEI, and IDFA information.
As a further scheme of the invention: in step S6, the location positioning information of the wearable device is obtained using the LBS location service capability.
Compared with the prior art, the invention has the beneficial effects that: the method can greatly optimize the collection rate of the characteristic information of the scene crowd equipment, generally, the characteristic information of the off-line collection equipment is only used, and the collection rate is only 20-30%, and the effective data collection rate can reach about 80% by integrating the collected data of the off-line collection equipment by adopting the method; the data dimension collection method has the advantages that the collected data dimension is more diverse, only the WI-FI probe or the iBeacon is used for collecting offline equipment data, the collected data dimension is mostly MAC, and the collection method can effectively collect equipment information such as IP, IMEI, MAC and IDFA of the equipment.
In summary, the present invention is used to compensate for the problems of insufficient data acquisition rate and low data dimensionality in the offline scene, and integrate the online data and the offline data, thereby providing a method for acquiring the characteristic data information of the crowd device with a higher acquisition rate, and better serving the business and other application fields.
Drawings
FIG. 1 is a flow chart of example 1 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In an embodiment of the invention, an online and offline device feature data collection method based on advertisement transaction integration comprises the following steps:
s1, manually recording self position information by the offline equipment;
s2, accessing the mobile internet advertisement demand platform to the advertisement trading platform market;
s3, when the user uses APP to generate the advertisement flow, the advertisement trading market sends an advertisement trading request to the advertisement demand platform;
s4, the advertisement demand platform acquires the device characteristic information message according to the request message;
s5, the system extracts key fields which can be converted into the device position association according to the request message;
s6, the system uses the position correlation field to request the position service to be converted into the position information;
s7, according to the result returned by the position service system, searching the off-line equipment meeting the position condition;
and S8, merging the portable equipment information into the qualified result set of the offline equipment, and executing storage operation on the database.
Further, in step S1, the offline device uses a GPS device module to automatically obtain the device location information by MAC code location query or IP address location query.
Further, in step S4, the collected feature device is a mobile phone, and the obtained device feature information is MAC, IMEI, and IDFA information.
Further, in step S6, the location positioning information of the wearable device is obtained by using the LBS location service capability.
The present invention will be described in further detail below with reference to example 1 and fig. 1, but the present invention is not limited thereto.
[ example 1 ]
The present example employs a WIFI probe as the offline device, but practice of the invention is not limited to offline devices employing WIFI probes. The specific implementation mode is as follows:
1) the method comprises the following steps that an offline scene crowd information acquisition device acquires MAC characteristic information by using a WIFI probe device;
2) an online mobile internet advertisement demand platform DSP is accessed to an advertisement trading platform market ADX;
3) when an APP user uses the APP to generate advertisement traffic, the advertisement trading market initiates an advertisement bidding Request (RTB) to a mobile Internet advertisement demand platform (DSP);
4) the advertisement demand platform DSP acquires an equipment characteristic information message according to an RTB request protocol;
5) the advertisement demand platform DSP extracts key fields IP and GEO which can be converted into equipment position association according to the request message;
6) the system uses the position correlation field IP to request the position service to convert the longitude and latitude information of the portable equipment information;
7) requesting a position service for an offline device IP, and acquiring the longitude and latitude of the offline device position information;
8) through coordinate position calculation, when the distance between the position of the portable equipment and the position of the offline equipment is smaller than a specific distance, the crowd equipment information is merged into an offline equipment acquisition record set.
The method can greatly optimize the collection rate of the characteristic information of the scene crowd equipment, generally, the characteristic information of the off-line collection equipment is only used, and the collection rate is only 20-30%, and the effective data collection rate can reach about 80% by integrating the collected data of the off-line collection equipment by adopting the method; the data dimension collection method has the advantages that the collected data dimension is more diverse, only the WI-FI probe or the iBeacon is used for collecting offline equipment data, the collected data dimension is mostly MAC, and the collection method can effectively collect equipment information such as IP, IMEI, MAC and IDFA of the equipment.
In summary, the present invention is used to compensate for the problems of insufficient data acquisition rate and low data dimensionality in the offline scene, and integrate the online data and the offline data, thereby providing a method for acquiring the characteristic data information of the crowd device with a higher acquisition rate, and better serving the business and other application fields.
The above is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, it is possible to make several variations and modifications without departing from the concept of the present invention, and these should be considered as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the utility of the patent.

Claims (1)

1. An online and offline device feature data collection method based on advertisement transaction integration is characterized by comprising the following steps:
s1, manually recording self position information by the offline equipment;
s2, accessing the mobile internet advertisement demand platform to the advertisement trading platform market;
s3, when the user uses APP to generate the advertisement flow, the advertisement trading market sends an advertisement trading request to the advertisement demand platform;
s4, the advertisement demand platform acquires the device characteristic information message according to the request message;
s5, the system extracts key fields which can be converted into the device position association according to the request message;
s6, the system uses the position correlation field to request the position service to be converted into the position information;
s7, according to the result returned by the position service system, searching the off-line equipment meeting the position condition;
s8, merging the portable equipment information into the qualified result set of the offline equipment, and executing storage operation on the database;
in step S1, the offline device automatically obtains its own device location information by using a GPS device module through MAC code location query or IP address location query;
in step S4, the collected feature device is a mobile phone, and the obtained device feature information is MAC, IMEI, and IDFA information;
in step S6, the location positioning information of the wearable device is obtained using the LBS location service capability.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103260128A (en) * 2012-02-13 2013-08-21 周良文 Trigger device, integrated publishing system and method based on WiFi positioning advertisement
EP2879018A1 (en) * 2013-11-29 2015-06-03 Universiteit van Amsterdam Estimating gaze from un-calibrated eye measurement points
CN106815112A (en) * 2015-11-27 2017-06-09 大唐软件技术股份有限公司 A kind of mass data monitoring system and method based on deep-packet detection
CN107622417A (en) * 2017-09-15 2018-01-23 北京奇艺世纪科技有限公司 A kind of advertisement sending method based on geographical position, device and electronic equipment
CN107896364A (en) * 2017-11-23 2018-04-10 沈阳首视科技有限责任公司 Data processing method and outdoor intelligent terminal based on position positioning and augmented reality

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11354709B2 (en) * 2014-07-15 2022-06-07 Viant Technology Llc Attributing offline conversions to online activity

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103260128A (en) * 2012-02-13 2013-08-21 周良文 Trigger device, integrated publishing system and method based on WiFi positioning advertisement
EP2879018A1 (en) * 2013-11-29 2015-06-03 Universiteit van Amsterdam Estimating gaze from un-calibrated eye measurement points
CN106815112A (en) * 2015-11-27 2017-06-09 大唐软件技术股份有限公司 A kind of mass data monitoring system and method based on deep-packet detection
CN107622417A (en) * 2017-09-15 2018-01-23 北京奇艺世纪科技有限公司 A kind of advertisement sending method based on geographical position, device and electronic equipment
CN107896364A (en) * 2017-11-23 2018-04-10 沈阳首视科技有限责任公司 Data processing method and outdoor intelligent terminal based on position positioning and augmented reality

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
中科爱讯WiFi探针在线下广告精准投放的解决方案;中科爱讯;《CSDN》;20170909;网页全文 *
张波.移动营销进入场景时代.《声屏世界·广告人 》.2016, *

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Address after: Room 1305, floor 13, building 2, yard 77, Shuangqing Road, Haidian District, Beijing 100089

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Address before: 528225 room 304, No. 4, West Taoyuan 1st Road, Songgang bridge, Shishan town, Nanhai District, Foshan City, Guangdong Province

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