CN112311612B - Information construction method and device and storage medium - Google Patents

Information construction method and device and storage medium Download PDF

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Publication number
CN112311612B
CN112311612B CN201910690845.0A CN201910690845A CN112311612B CN 112311612 B CN112311612 B CN 112311612B CN 201910690845 A CN201910690845 A CN 201910690845A CN 112311612 B CN112311612 B CN 112311612B
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information
home
network equipment
home network
identification
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CN112311612A (en
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俄万有
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Tencent Technology Shenzhen Co Ltd
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Tencent Technology Shenzhen Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/06—Generation of reports
    • H04L43/065—Generation of reports related to network devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/374—Thesaurus
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/52—Network services specially adapted for the location of the user terminal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences

Abstract

The embodiment of the invention discloses an information construction method, an information construction device and a storage medium. The scheme obtains a first object log collected by a plurality of service systems, wherein the first object log carries a network equipment identifier, an object identity identifier and position information; identifying a home network device identifier from the network device identifiers collected by the plurality of business systems based on the location information; generating connection state information according to a second object log corresponding to the home network equipment identifier, and screening a plurality of object identity identifiers related to the home network equipment identifier according to the connection state information to determine a home object identity identifier; and extracting object characteristics from a third object log corresponding to the home object identity identifier, and generating information corresponding to the home network equipment identifier according to the object characteristics, thereby realizing information construction by taking a home as a unit.

Description

Information construction method and device and storage medium
Technical Field
The present invention relates to the field of information construction technologies, and in particular, to an information construction method, an information construction apparatus, and a storage medium.
Background
With the rapid development of artificial intelligence, mobile internet and big data technologies, information data formed based on object data reported by mining analysis mobile equipment and an APP is widely applied to scenes such as content recommendation, advertisement delivery, product refinement and operation.
Therefore, the object data is mostly used based on the statistics and analysis of the data of the single object, and the information data of the single object is created, so that the targeted content recommendation is realized according to the characteristics of the object.
However, in the course of research and practice on the prior art, the inventors of the present invention found that the commercial value of data cannot be realized to the maximum extent by simply performing information construction and analysis on a single object basis, and that more and more businesses need to be developed on a family basis, and thus a solution capable of realizing information construction on a family basis is urgently needed.
Disclosure of Invention
The embodiment of the invention provides an information construction method, an information construction device and a storage medium, and aims to realize the construction of information.
The embodiment of the invention provides an information construction method, which comprises the following steps:
acquiring a first object log collected by a plurality of service systems, wherein the first object log carries a network equipment identifier, an object identity identifier and position information;
identifying a home network device identifier from the network device identifiers collected by the plurality of business systems based on the location information;
generating connection state information according to a second object log corresponding to the home network equipment identifier, and screening a plurality of object identity identifiers related to the home network equipment identifier according to the connection state information to determine a home object identity identifier;
and extracting object characteristics from a third object log corresponding to the home object identity identifier, and generating information corresponding to the home network equipment identifier according to the object characteristics.
An embodiment of the present invention further provides an information constructing apparatus, including:
the system comprises a data acquisition unit, a data processing unit and a data processing unit, wherein the data acquisition unit is used for acquiring a first object log collected by a plurality of service systems, and the first object log carries a network equipment identifier, an object identity identifier and position information;
a device identification unit, configured to identify a home network device identifier from network device identifiers collected by the plurality of service systems based on the location information;
the identification association unit is used for generating connection state information according to a second object log corresponding to the home network equipment identification, and screening a plurality of object identification identifications associated with the home network equipment identification according to the connection state information to determine a home object identification;
and the information construction unit is used for extracting object characteristics from a third object log corresponding to the family object identity identifier and generating information corresponding to the family network equipment identifier according to the object characteristics.
The embodiment of the present invention further provides a storage medium, where multiple instructions are stored, and the instructions are suitable for being loaded by a processor to execute any information construction method provided in the embodiment of the present invention.
The embodiment of the invention also provides a server, which comprises a processor and a memory, wherein the memory is provided with a computer program, and the processor executes any information construction method provided by the embodiment of the invention by calling the computer program.
According to the information construction scheme provided by the embodiment of the invention, the home network equipment identification belonging to the home network equipment is identified from all the collected network equipment identifications by acquiring the first object logs collected by a plurality of service systems based on the position information carried in the object logs, the connection state information is generated according to the second object log corresponding to the home network equipment identification, a plurality of object identification identifications associated with the home network equipment identification are screened according to the connection state information to determine the home object identification, and the information corresponding to the home network equipment identification is generated according to the third object log corresponding to the home object identification. The scheme of the invention integrates the object logs of a plurality of service systems, uses the characteristics of the geographic positions in the object logs to identify the home network equipment identifier belonging to the home network and the home object identity identifier corresponding to the home network, uses the home network equipment identifier as a unified identifier of a family, and analyzes the object logs corresponding to the home object identity identifier to realize the information creation.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1a is a schematic system architecture diagram of an information construction method according to an embodiment of the present invention.
FIG. 1b is a first flowchart of an information construction method according to an embodiment of the present invention;
FIG. 2 is a second flow chart of the information construction method according to the embodiment of the present invention;
FIG. 3a is a schematic diagram of a first structure of an information constructing apparatus according to an embodiment of the present invention;
FIG. 3b is a schematic diagram of a second structure of an information constructing apparatus according to an embodiment of the present invention;
fig. 3c is a schematic diagram of a third structure of an information construction apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment 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.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
An execution main body of the information construction method may be the information construction apparatus provided in the embodiment of the present invention, or a server integrated with the information construction apparatus, where the information construction apparatus may be implemented in a hardware or software manner.
Referring to fig. 1a, fig. 1a is a schematic diagram of a system architecture of an information construction method according to an embodiment of the present invention. The system architecture deployed in the server comprises a home device layer, a data collection layer, a feature extraction layer and a data mining layer.
Various electronic devices in a family acquire internet services by connecting wifi, and the electronic devices include mobile terminals such as smart phones, tablet computers and handheld computers, PCs (personal computers) such as notebook computers and desktop computers, and intelligent household appliances such as smart televisions, smart sound boxes and smart refrigerators. When family members use these electronic devices, the electronic devices are typically connected to the family wifi for a long period of time or for some period of time. The application programs running in the electronic devices also report object logs generated in the object using process to the corresponding server side. Applications such as video playing, music, shopping, payment, etc. on a smart phone report an object log generated by an object while using the application to an application server. For another example, the smart television reports the related object log generated by the object watching the television program to the server corresponding to the smart television. In this way, each electronic device of the home device layer reports the object log to its server. The reported object logs of each electronic device at least carry the following information: network device identification, object identification, and location information.
And the data collection layer collects the object logs reported by each service system. The feature extraction layer extracts object features corresponding to the object logs collected by the service systems. The data mining layer includes a home tag computation service and an ID mapping computation service.
The ID mapping calculation service identifies the home network equipment identification based on the position information carried in the object log, obtains the incidence relation between the home network equipment identification and the object identification according to the object log, and determines the home object identification corresponding to the home network equipment from the home network equipment identification so as to establish the mapping relation between the home network equipment identification and the object identification.
Meanwhile, the feature extraction layer takes the service system as a unit, and performs feature extraction on the object logs collected by the receipt collection layer to obtain object features corresponding to the identity of each family object. And the family tag calculation service of the data mining layer constructs information corresponding to each family network identifier according to the object characteristics corresponding to each family object identifier and the mapping relation between the family network equipment identifier and the family object identifier.
In some embodiments, the system architecture further includes a data application layer. The data application layer can expand the corresponding family information for the object corresponding to each object identity in each business system through the wifi-mac-based information data and the mapping relation between the wifi-mac and the object identity of each business system, so that family consumption marketing, family-related advertisement delivery and content recommendation more suitable for family interest of the object are achieved.
Next, the information construction method provided by the embodiment of the present invention is explained in detail based on the system architecture. Referring to fig. 1b, fig. 1b is a first flow chart of an information construction method according to an embodiment of the invention. The specific flow of the information construction method can be as follows:
101. the method comprises the steps of obtaining a first object log collected by a plurality of service systems, wherein the first object log carries a network equipment identifier, an object identity identifier and position information.
Each electronic device reports the object log to its own server through its respective data reporting channel. When the object logs are stored, the object identity is used as a key to be stored in a large data warehouse, such as Hadoop. For example, when the intelligent household electrical appliance reports data, the device ID is generally used as a uniform identifier for uniquely identifying one device; for another example, when the PC reports data, an account number for logging in an object, such as a mailbox, a QQ number, etc., is usually used as a unified identifier of the object; for another example, when reporting data, a Mobile device such as a Mobile phone and a tablet computer and an application thereof generally uses a Mobile phone number, an account number registered by the application, or an IMEI (International Mobile Equipment Identity) as an object uniform identifier. The object identity identification is not particularly limited in the embodiments of the present invention, as long as the object identity can be uniquely identified. In this embodiment, the object logs are classified by the object identities, so that an object log set corresponding to each object identity can be obtained.
In addition, it can be understood that one object in a family may log in different devices with the same account, or one object has multiple accounts of the same application, for example, the same object has two micro-messages, or the same object logs in an application on a smartphone or a tablet computer, for example, a microblog, a micro-message, a mailbox client, and the like, using the same social network account. The object identification and the number of objects in the family are not in a one-to-one correspondence, nor are the object identification and the electronic equipment in the family in a one-to-one correspondence, and the number of the object identification in one family is determined by the number of accounts of each service system used in the family. The business system refers to a system corresponding to a service provided by the electronic equipment, such as an intelligent television system; or a system corresponding to a service provided by an application program on the electronic device, such as a shopping system corresponding to a shopping APP and a payment system corresponding to a payment APP, where a server of each service collects object logs reported by a client, and the like.
Since a plurality of devices used by objects belonging to the same family are generally connected to the same network device, the scheme of the invention takes the network device identifier as a key to mine the object characteristics taking the family as a unit. Therefore, besides the object identity identification, the object log uploaded by each device is required to carry the network device identification and the position information. For example, if the electronic devices in a home are all connected to the network through the same wireless router, the wireless network physical address (wifi-mac) of the wireless router is used as the network device identifier. After the electronic device is connected to the wireless router, the wireless network physical address can be acquired from the network state.
The object performs common network operations on the electronic device, and the electronic device interacts with the server through a wireless network. Taking the electronic device as an example of a smart phone, various communication applications such as WeChat and QQ, shopping applications, web browsing applications, social platform software, mailbox clients and the like are installed on the smart phone. The object can generate log data in the process of using the software, and the electronic equipment can report the log data to the server.
The log data includes object behavior data, such as web page content browsed by the object, object shopping records, object payment records, and the like. Taking the object shopping record as an example, the object shopping record may include the name, price, time, description document of the object shopping item, etc.
102. Based on the location information, a home network device identification is identified from the network device identifications collected by the plurality of business systems.
The information construction device acquires the object logs collected by each service system, and each object log carries the position information and the home network equipment identifier, so that the corresponding relation between the home network equipment identifier and the position information can be obtained. The position information is a geographical position of the electronic device when the electronic device is connected with the wireless router, and can be obtained by positioning the electronic device.
The information construction apparatus summarizes the network device identifiers in all the collected object logs, so that a huge amount of network device identifiers may be obtained, and some non-home network device identifiers, such as network device identifiers in places such as shopping malls, office places, and the like, are included in the network device identifiers, and therefore, the non-home network device identifiers need to be deleted from the huge amount of network device identifiers.
In some embodiments, identifying the home network device identification from the network device identifications collected by the plurality of traffic systems based on the location information may include: analyzing the position information to acquire POI information of the position information in a preset range; if the POI information contains the preset POI information, deleting the network equipment identification corresponding to the position information from the network equipment identifications collected by the plurality of service systems; and taking the rest network equipment identifications after the deleting operation as the home network equipment identifications.
Here, a POI (point of information) of a geographic location generally refers to information around a certain geographic location, and is a meaningful point on a map that is not in geographic significance, such as a store, a bank, a gas station, and the like. By identifying the periphery of the position information, for example, POI information within a preset range. And if the preset POI information exists in the POI corresponding to the position information, judging that the network equipment identifier corresponding to the position information is a non-home network equipment identifier. The preset POI information is a POI which can obviously identify that the corresponding position is a non-residential area. In this way, the network device identifiers collected by the plurality of service systems are identified one by one, and the network device identifiers in the non-residential area are filtered out, so that the rest network device identifiers are the network device identifiers in the residential area.
In some embodiments, the object log also carries a network connection time; the step of using the remaining network device identifier after the deletion operation as the home network device identifier may include: acquiring network connection time corresponding to the residual network equipment identification after the deleting operation; determining the connection time distribution of the rest network equipment identifications in a first preset time interval according to the network connection time; and taking the rest network equipment identifications of which the connection time distribution meets a preset distribution rule as the home network equipment identifications.
And further filtering the network equipment identifications in the residential area on the basis of filtering out the network equipment identifications of the non-residential area. For example, there may be some non-home locations such as malls, offices, etc. in a residential area. In this embodiment, the home wireless network physical address may be identified from the wireless network physical addresses of the residential area by the network device identifying different characteristics in the connection time distribution. There is a significant difference in the distribution of connection time between home and non-home wireless networks. The connection time of the home wireless network exhibits an aggregation characteristic from a working day 18 to a next day 9. And the connection time of the wireless network physical address of non-home places such as shopping malls, office places and the like is less distributed in the time period from 18 o 'clock of a working day to 9 o' clock of the next day. And the aggregation characteristic can not appear, and the network equipment identification which belongs to the residential area and is obtained after the deletion operation is obtained. And further filtering out the network equipment identifications belonging to the non-home wireless network in the residential area through the distribution characteristics of the network equipment identifications on the connection time.
The object log carries network connection time and network equipment identifiers, for each network equipment identifier belonging to a residential area, all network connection time corresponding to one network equipment identifier in a first preset time interval is counted, and connection time distribution corresponding to the network equipment identifier can be generated according to the network connection time. And if the connection time distribution meets a preset distribution rule, judging that the network equipment identifier is a home network equipment identifier. The preset distribution rule may be that the network connection time exhibits an aggregation characteristic in a preset time period, and the preset time period may be set according to needs, for example, the preset time period is from 18 o 'clock to 9 o' clock of the next day on monday to friday, or the preset time period is from 20 o 'clock to 9 o' clock of the next day on monday to friday. The preset time period can be one month, three months, half a year and the like, and can be set as required.
103. And generating connection state information according to a second object log corresponding to the home network equipment identifier, and screening a plurality of object identity identifiers associated with the home network equipment identifier according to the connection state information to determine the home object identity identifier.
The first object log comprises a second object log, and the second object log is an object log which is screened from all the first object logs and corresponds to the home network equipment identifier. That is, while filtering out the non-home network device identifiers, the object log data corresponding to the non-home network device identifiers is also deleted.
And after the home network equipment identification is determined, constructing a mapping relation between the home network equipment identification and the home object identity identification. Each second object log carries the network device identifier and the object identity identifier, so that all second object logs corresponding to one home network device identifier can be obtained according to the second object logs corresponding to the home network device identifiers. However, the electronic devices corresponding to the object ids associated with the home network device ids are not necessarily all of the electronic devices belonging to the family members of the family, such as those belonging to visiting guests. Based on this, it is necessary to perform screening processing on a plurality of object identifiers associated with the home network device identifier to determine the home object identifier.
In addition, when a family member uses an electronic device to establish a connection with a wireless network device of the family, a certain rule, such as connection time, connection frequency, etc., is generally presented on the connection state information, so that the family member is different from the electronic device of a non-family member.
In some embodiments, the connection status information is a connection frequency, and the connection frequency is a connection frequency between the object device and the wireless network device within a second preset time interval; generating connection state information according to a second object log corresponding to the home network device identifier, and performing screening processing on a plurality of object identifiers associated with the home network device identifier according to the connection state information, wherein the step of determining the home object identifiers may include: generating the connection frequency of each object identity mark associated with the home network equipment mark according to the network connection time; and taking the object identification with the connection frequency not less than the preset connection frequency as the family object identification corresponding to the family network equipment identification.
In this embodiment, for an object id, an object log of the object id in the second time interval may be obtained, and the connection frequency of the object id is obtained according to the network connection time in the object log, for example, the number of times that the electronic device or the application corresponding to the object id is connected to the wireless network device of the home in the last continuous month is obtained. And if the connection frequency is not less than the preset connection frequency, judging that the object identity identification and the home network equipment identification have a mapping relation.
For example, if the preset connection frequency is 7 times/three months, if the number of times that the electronic device or the application corresponding to a certain object id is connected to the wireless network device of the home in the last three consecutive months is greater than 7 times, the object id is used as the home object id corresponding to the home network device id. By the method, all the home object identification marks corresponding to each home network equipment mark can be screened out.
In addition, after the screening, a situation that one object id corresponds to multiple home network device identifiers may occur, and in order to more accurately establish a mapping relationship between the object id and the home network device identifiers to accurately construct information, a unique mapping relationship between the object id and the home network device identifiers needs to be established, that is, one object id can only correspond to one home network device identifier.
In some embodiments, the step of using the object id with the connection frequency not less than the preset connection frequency as the home object id corresponding to the home network device identifier may include: taking the object identification with the connection frequency not less than the preset connection frequency as a candidate object identification; if the candidate object identification corresponds to the plurality of home network equipment identifications, counting the connection times between the candidate object identification and the plurality of home network equipment identifications respectively; when the connection times between the candidate object identity identification and the home network identification are not the maximum value of the connection times, deleting the candidate identification; and taking the residual candidate object identification subjected to the deleting operation as the home object identification corresponding to the home network equipment identification.
In this embodiment, after a plurality of object identifiers corresponding to the home network device identifier are determined, the plurality of object identifiers are used as candidate object identifiers.
And for each candidate object identity, if the candidate object identity corresponds to a plurality of home network equipment identities, calculating the connection times between the candidate object identity and the home network equipment identities, and taking the home network equipment identity with the maximum connection times as the unique home network equipment identity of the candidate object identity.
For example, a home network device identifier W1 corresponds to n candidate object identifiers UID1, UID2 \8230: \8230anduidn, for any one of the candidate object identifiers UIDi, if the UIDi corresponds to a plurality of different home network device identifiers (including the home network device identifier W1), the connection times between the UIDi and the plurality of home network device identifiers are counted, if the connection time between the UIDi and the home network device identifier W1 is not the largest of the plurality of connection times, the UIDi is deleted from the plurality of candidate object identifiers corresponding to the home network device identifier W1, otherwise, the UIDi is retained. In this way, home object ids corresponding to home network device ids can be determined, where each home object id corresponds to a unique home network device id.
104. And extracting object characteristics from a third object log corresponding to the family object identity identification, and generating information corresponding to the family network equipment identification according to the object characteristics.
And after the mapping relation between the home network equipment identification and the home object identification is determined, constructing information corresponding to the home network equipment identification according to the third object logs corresponding to the home object identifications. The second object log comprises a third object log, and the third object log is an object log which is screened from all the second object logs and corresponds to the home network device identifier.
In some embodiments, the third object logs of the plurality of family object identifiers corresponding to the home network device identifiers are integrated to obtain integrated data, and the integrated data is subjected to secondary mining.
For example, the object log also carries the device type of the electronic device, and the device type corresponding to the identity of each family object, such as a smart phone, a tablet computer, a smart home appliance, and the like, can be obtained according to the third object log. The number of the smart phones under the same home network equipment identification is mined, so that the number of the similar population in the home can be estimated.
For another example, according to the third object log, video playing class data reported by a smart television, a smart phone, and a tablet computer corresponding to a home network device identifier is integrated, so that an age interval of a corresponding home member can be analyzed, specifically, video playing features are extracted from the video playing data reported by the smart television, the smart phone, and the tablet computer, so as to generate feature vectors, the feature vectors are input into a pre-trained deep neural network model or a probability map model, and the like, and according to a tag output by the deep neural network model, the age interval distribution of the home member is determined, and whether an old person or an infant is present in the home can be further determined according to the age interval distribution of the home member.
For another example, shopping category data reported by a plurality of corresponding smart phones and tablet computers under one home network device identifier is integrated according to the third object log, so that the shopping habits of the home can be analyzed. Specifically, shopping characteristics are extracted from shopping data reported by a plurality of smart phones and tablet computers, characteristic vectors are generated, and the characteristic vectors are input into a pre-trained deep neural network model or probability map model and the like to obtain relevant labels of shopping habits, consumption levels, consumption capabilities and the like of a family.
For another example, document reading data reported by multiple corresponding smartphones and tablet computers under one home network device identifier is integrated according to the third object log, so that the reading habit of a home can be analyzed. Specifically, document reading data is extracted from shopping data reported by a plurality of smart phones and tablet computers, for example, e-books read by family members on reading APP, articles read on WeChat public numbers, news read on news APP, and the like, and document keywords are extracted by using a document theme generation model based on the document reading data to obtain relevant tags of the reading habits of families.
In other embodiments, the data belonging to other various dimensions may be integrated according to the third object log, and tag data of the family in multiple dimensions, such as a basic identity tag, a consumption tag, a video playing habit tag, a shopping habit tag, a reading habit tag, and the like of the family members, may be extracted, and the tags are integrated to form information of one family.
Or, in some other embodiments, the step of extracting object features from a third object log corresponding to the home object id, and generating information corresponding to the home network device id according to the object features may include: extracting object characteristics from a third object log corresponding to the family object identity, and generating information corresponding to the object identity according to the object characteristics; and generating information corresponding to the home network equipment identifier according to the information corresponding to the home object identity identifier and the third object log.
In this embodiment, information corresponding to each home object identifier is obtained based on the third object log corresponding to each home object identifier, and then tag data of the family in multiple dimensions, such as a basic identity tag, a consumption tag, a video playing habit tag, a shopping habit tag, a reading habit tag, and the like of the family members, is extracted based on the third object log corresponding to the home object identifier in the enumerated manner, and the tags and tags in the information corresponding to each home object identifier are integrated to form information.
For example, in some embodiments, the step of extracting object features from the third object log corresponding to the family object id, and generating information corresponding to the object id according to the object features may include: and performing data cleaning on the third object log corresponding to the household object identification, wherein the data cleaning comprises missing value processing, abnormal value processing, duplicate removal processing and noise data processing. Extracting object features from the data-washed object logs; generating a first label corresponding to the family object identity according to the object characteristics and a first classification model corresponding to the family object identity; and generating information corresponding to the family object identity according to the first label.
The step of generating information corresponding to the home network device identifier according to the information corresponding to the home object identifier and the third object log may include: extracting target object features corresponding to preset label dimensions from a third object log corresponding to the family object identity; generating a second label corresponding to the preset label dimension according to the target object characteristics and a second classification model corresponding to the preset label dimension; and generating information corresponding to the home network equipment identification according to the second labels corresponding to the plurality of preset label dimensions and the first label in the information corresponding to the home object identification.
Wherein, in addition, a plurality of label dimensions, such as video playing, shopping habit, reading habit and the like, can be preset. There is a corresponding second classification model for each preset label dimension. And for each preset label dimension, obtaining an object feature corresponding to the preset label dimension, wherein the object feature extraction mode can be obtained by referring to the enumerated mode. The first classification model and the second classification model can be a deep neural network model, a decision tree, a probabilistic graph model and the like, extracted object features are input into the models, corresponding labels can be obtained, and information is formed through the labels, so that multi-dimensional description of families is realized.
In some embodiments, after the information is obtained, the information can be expanded to each object in the family by taking the family as a unit according to the tag in the information, and in each business system, the family consumption marketing, the family-related advertisement delivery and the content recommendation more suitable for the family interest of the object are realized according to the tag of the information corresponding to the object.
In specific implementation, the present application is not limited by the execution sequence of the described steps, and some steps may be performed in other sequences or simultaneously without conflict.
As described above, the information construction method provided in the embodiment of the present invention identifies, from all collected network device identifiers, a home network device identifier belonging to a home network device by obtaining a first object log collected by a plurality of service systems based on location information carried in the object log, generates connection state information according to a second object log corresponding to the home network device identifier, performs screening processing on a plurality of object identifiers associated with the home network device identifier according to the connection state information, determines a home object identifier, and generates information corresponding to the home network device identifier according to a third object log corresponding to the home object identifier. The scheme of the invention integrates the object logs of a plurality of service systems, uses the characteristics of the geographic positions in the object logs to identify the home network equipment identifier belonging to the home network and the home object identity identifier corresponding to the home network, uses the home network equipment identifier as a unified identifier of a family, and analyzes the object logs corresponding to the home object identity identifier to realize the information creation.
The method according to the previous embodiment is further illustrated in detail by way of example.
Referring to fig. 2, fig. 2 is a second flow chart of the information constructing method according to the embodiment of the invention. The method comprises the following steps:
201. the method comprises the steps of obtaining first object logs collected by a plurality of service systems, wherein the first object logs carry wifi-mac, object identity identification, position information and network connection time.
And storing the first object log collected by each business system into a big data warehouse, such as a Hadoop, by taking the object identity as a key. Therefore, the scheme of the invention takes wifi-mac as a key to mine the object characteristics taking families as units. Besides the object identification, the object log uploaded by each device is required to carry wifi-mac and position information. The wifi-mac is a wireless network physical address of the wireless router, namely the wifi-mac.
202. And analyzing the position information to acquire POI information of the position information in a preset range.
203. And if the POI information of the geographical position information contains preset POI information, deleting the wifi-mac corresponding to the position information from the wifi-macs collected by the multiple service systems.
And analyzing the position information on the map to obtain the POI corresponding to the position information. And judging whether the geographic position is a non-residential area or not according to preset POI information which is preset and can obviously identify that the corresponding position is the non-residential area, and if so, deleting wifi-mac corresponding to the position information. By the method, wifi-macs collected by a plurality of service systems are identified one by one, wifi-macs of non-residential areas are filtered, and the rest wifi-macs of the residential areas are remained.
204. And for the wifi-mac remained after the deleting operation, generating the connection time distribution of the wifi-mac in a first preset time interval according to the corresponding second object log.
205. And taking the residual wifi-mac with the connection time distribution meeting the preset distribution rule as the household wifi-mac.
There may be some non-home locations such as malls, offices, etc. in the residential area. And further filtering the wifi-mac of the residential area based on the network connection time in the second object log, and deleting the wifi-mac of non-family places such as shopping malls and office places.
For example, the connection time of a home wireless network exhibits an aggregation feature during the time period from 18 o 'clock on a weekday to 9 o' clock the next day. And the connection time of the wireless network physical address of the non-home places such as the shopping mall, the office place and the like is less distributed in the time period from 18 o 'clock of the working day to 9 o' clock of the next day. And the aggregation characteristic can not appear, and the wifi-mac which is obtained after the deleting operation and belongs to the residential area is obtained. And further filtering wifi-mac belonging to a non-home wireless network in the residential area through the distribution characteristics of the wifi-mac in the connection time.
206. And generating the connection frequency of each object identity associated with the family wifi-mac according to the network connection time in the second object log corresponding to the family wifi-mac.
207. And taking the object identity with the connection frequency not less than the preset connection frequency as a family object identity corresponding to the family wifi-mac.
For any object identity associated with the family wifi-mac pair, a second object log of the object identity in a second time interval is obtained, and the connection frequency of the object identity is obtained according to the network connection time in the second object log, for example, the number of times that the electronic device or the application program corresponding to the object identity is connected to the wireless network device of the family in the last continuous month is obtained. And if the connection frequency is not less than the preset connection frequency, judging that the object identity identification and the family wifi-mac have a mapping relation. And taking the object identity as a family object identity corresponding to the family wifi-mac.
208. And determining the unique corresponding family wifi-mac of each family object identity according to the connection times between the family network equipment and the object identity so as to establish the mapping relation between the family wifi-mac and the family object identity.
After the screening, one family wifi-mac generally corresponds to a plurality of family object identifiers, and meanwhile, the situation that one family object identifier corresponds to a plurality of family wifi-macs may occur.
For example, if a certain object identity corresponds to a plurality of family wifi-macs, the connection times between the object identity and the plurality of family wifi-macs are respectively calculated, and one object identity is uniquely bound with one family wifi-mac according to the rule that the connection times are the largest.
209. And extracting object characteristics from a third object log corresponding to the family object identity, and generating information corresponding to the object identity according to the object characteristics.
210. And generating information corresponding to the family wifi-mac according to the information corresponding to the family object identity and the third object log.
And obtaining information corresponding to each family object identifier based on the third object log corresponding to each family object identifier, integrating the third object logs of the plurality of family object identifiers corresponding to the family wifi-mac to obtain integrated data, and performing secondary mining on the integrated data. And obtaining a second label corresponding to the family, integrating the first label in the information and the second label corresponding to the family, selecting a plurality of labels with the highest weight values, and constructing the information.
By taking the shopping label dimension as an example, the shopping data reported by a plurality of corresponding smart phones and tablet computers under a family wifi-mac is integrated according to the third object log, so that the shopping habit of the family can be analyzed. Specifically, shopping characteristics are extracted from shopping data reported by multiple smart phones and tablet computers, characteristic vectors are generated, the characteristic vectors are input into a pre-trained deep neural network model or probability map model and the like, relevant labels such as shopping habits, consumption levels and consumption capacities of families and probability values corresponding to the labels are obtained, and the probability values are used as weighted values of the labels. In such a way, second labels corresponding to the preset label dimensions can be obtained. In addition, each label in a plurality of corresponding information under the family wifi-mac also corresponds to a weight value, and the labels in all the information are combined. And integrating the second tags obtained by secondary mining and the first tags in the information according to the corresponding weight values, deleting the tags of which the weight values are smaller than a preset threshold value, and using the remaining first tags and the remaining second tags to form the information of the family.
From the above, in the information construction method provided by the embodiment of the invention, the first object logs collected by a plurality of service systems are obtained, based on the POI information of the position information carried in the object logs, the household wifi-mac belonging to the household network device is identified from all the collected wifi-macs, then the household wifi-mac is further screened according to the connection time distribution of the wifi-mac in the first preset time interval, then the plurality of object identification marks associated with the household wifi-mac are screened according to the connection frequency of each object identification mark associated with the household wifi-mac, the household object identification mark is determined, and the mapping relation between the household wifi-mac and the household object identification mark is established. And generating information and object characteristics according to a third object log corresponding to the family object identity, and integrating the information and the object characteristics to obtain information corresponding to the family wifi-mac. According to the scheme, object logs of a plurality of business systems are integrated, family wifi-mac belonging to a family network is identified by using POI characteristics of geographic positions in the object logs, a mapping relation between the family wifi-mac and family object identification marks is established, the family wifi-mac is used as a unified identification of a family, and information and the object characteristics are integrated to obtain information.
In order to implement the above method, an embodiment of the present invention further provides an information constructing apparatus, which may be specifically integrated in a terminal device, such as a mobile phone, a tablet computer, and the like.
For example, please refer to fig. 3a, wherein fig. 3a is a first structural diagram of an information constructing apparatus according to an embodiment of the present invention. The information construction apparatus may include a data acquisition unit 301, a device identification unit 302, an identification association unit 303, and an information construction unit 304, as follows:
a data obtaining unit 301, configured to obtain a first object log collected by multiple service systems, where the first object log carries a network device identifier, an object identity identifier, and location information;
a device identification unit 302, configured to identify a home network device identifier from the network device identifiers collected by the plurality of service systems based on the location information;
an identifier associating unit 303, configured to generate connection state information according to a second object log corresponding to the home network device identifier, and perform screening processing on multiple object identifiers associated with the home network device identifier according to the connection state information to determine a home object identifier;
an information constructing unit 304, configured to extract an object feature from a third object log corresponding to the home object identifier, and generate information corresponding to the home network device identifier according to the object feature.
Referring to fig. 3b, fig. 3b is a schematic structural diagram of an information constructing apparatus according to an embodiment of the present invention. In some embodiments, the information building unit 304 comprises a first building subunit 3041 and a second building subunit 3042, wherein,
the first construction subunit 3041 is configured to: extracting object features from a third object log corresponding to the family object identity, and generating information corresponding to the object identity according to the object features;
the second building subunit 3042 is used to: and generating information corresponding to the home network equipment identifier according to the information corresponding to the home object identity identifier and the third object log.
In some embodiments, the first building subunit 3041 is further for: performing data cleaning on a third object log corresponding to the family object identity, and extracting object features from the object log subjected to data cleaning; generating a first label corresponding to the family object identity according to the object characteristics and a first classification model corresponding to the family object identity; and generating information corresponding to the family object identity according to the first label.
In some embodiments, the second building subunit 3042 is further for: extracting target object features corresponding to preset label dimensions from a third object log corresponding to the family object identity; generating a second label corresponding to the preset label dimension according to the target object feature and a second classification model corresponding to the preset label dimension; and generating information corresponding to the home network equipment identification according to the plurality of second labels corresponding to the preset label dimensions and the first label in the information corresponding to the home object identification.
Referring to fig. 3c, fig. 3c is a schematic structural diagram of an information constructing apparatus according to an embodiment of the present invention. In some embodiments, the device identification unit 302 includes a feature acquisition subunit 3021, a first identification subunit 3022, a second identification subunit 3023, wherein:
the feature acquiring subunit 3021 is configured to: analyzing the position information to acquire POI information of the position information in a preset range;
the first identifier 3022 is configured to: if the POI information contains preset POI information, deleting the network equipment identification corresponding to the position information from the network equipment identifications collected by the plurality of service systems;
the second identifier unit 3023 is used to: and taking the rest network equipment identifications after the deleting operation as the home network equipment identifications.
In some embodiments, the second identifier unit 3023 is further configured to: acquiring network connection time corresponding to the residual network equipment identification after the deleting operation; determining the connection time distribution of the rest network equipment identifications in a first preset time interval according to the network connection time; and taking the rest network equipment identifications with the connection time distribution meeting the preset distribution rule as the home network equipment identifications.
In some embodiments, the identification association unit 303 is further configured to: generating the connection frequency of each object identity mark associated with the home network equipment mark according to the network connection time; and taking the object identification with the connection frequency not less than the preset connection frequency as the family object identification corresponding to the family network equipment identification.
In some embodiments, the identification association unit 303 is further configured to: taking the object identity with the connection frequency not less than the preset connection frequency as a candidate object identity;
if the candidate object identification corresponds to a plurality of home network equipment identifications, counting the connection times between the candidate object identification and the plurality of home network equipment identifications respectively;
deleting the candidate identification when the connection times between the candidate object identification and the home network identification are not the maximum value of the connection times;
and taking the residual candidate object identification subjected to the deleting operation as the home object identification corresponding to the home network equipment identification.
In specific implementation, the above units may be implemented as independent entities, or may be combined arbitrarily, and implemented as the same or several entities, and specific implementations of the above units may refer to the foregoing method embodiment, which is not described herein again.
It should be noted that the information construction apparatus provided in the embodiment of the present invention and the information construction method in the above embodiment belong to the same concept, and any method provided in the information construction method embodiment may be run on the information construction apparatus, and the specific implementation process thereof is described in detail in the information construction method embodiment, and is not described here again.
The information construction apparatus provided in the embodiment of the present invention obtains a first object log collected by a plurality of service systems through a data obtaining unit 301, a device identifying unit 302 identifies a home network device identifier belonging to a home network device from all collected network device identifiers based on position information carried in the object log, an identifier associating unit 303 generates connection state information according to a second object log corresponding to the home network device identifier, performs a screening process on a plurality of object identifiers associated with the home network device identifier according to the connection state information to determine a home object identifier, and an information construction unit 304 generates information corresponding to the home network device identifier according to a third object log corresponding to the home object identifier. The scheme of the invention integrates the object logs of a plurality of service systems, uses the characteristics of the geographic positions in the object logs to identify the home network equipment identifier belonging to the home network and the home object identity identifier corresponding to the home network, uses the home network equipment identifier as a unified identifier of a family, and analyzes the object logs corresponding to the home object identity identifier to realize the information creation.
Fig. 4 shows a schematic structural diagram of a server according to an embodiment of the present invention, where fig. 4 is a schematic structural diagram of the server according to an embodiment of the present invention. Specifically, the method comprises the following steps:
the server may include components such as a processor 401 of one or more processing cores, memory 402 of one or more computer-readable storage media, a power supply 403, and an input unit 404. Those skilled in the art will appreciate that the configuration of the server shown in FIG. 4 does not constitute a limitation of the server and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. Wherein:
the processor 401 is a control center of the server, connects various parts of the entire server using various interfaces and lines, and performs various functions of the server and processes data by running or executing software programs and/or modules stored in the memory 402 and calling data stored in the memory 402, thereby performing overall monitoring of the server. Alternatively, processor 401 may include one or more processing cores; preferably, the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly handles operating systems, object interfaces, application programs, and the like, and the modem processor mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 401.
The memory 402 may be used to store software programs and modules, and the processor 401 executes various functional applications and information constructs by operating the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to the use of the server, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 access to the memory 402.
The server further includes a power supply 403 for supplying power to each component, and preferably, the power supply 403 may be logically connected to the processor 401 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The power supply 403 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
The server may further include an input unit 404, and the input unit 404 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to object setting and function control.
Although not shown, the server may further include a display unit and the like, which will not be described in detail herein. Specifically, in this embodiment, the processor 401 in the server loads the executable file corresponding to the process of one or more application programs into the memory 402 according to the following instructions, and the processor 401 runs the application programs stored in the memory 402, thereby implementing various functions as follows:
acquiring first object logs collected by a plurality of service systems, wherein the first object logs carry network equipment identifiers, object identity identifiers and position information;
identifying a home network device identifier from the network device identifiers collected by the plurality of business systems based on the location information;
generating connection state information according to a second object log corresponding to the home network equipment identifier, and screening a plurality of object identity identifiers related to the home network equipment identifier according to the connection state information to determine a home object identity identifier;
and extracting object characteristics from a third object log corresponding to the home object identity identifier, and generating information corresponding to the home network equipment identifier according to the object characteristics.
As described above, the server provided in the embodiment of the present invention identifies, by obtaining a first object log collected by multiple service systems, a home network device identifier belonging to a home network device from all collected network device identifiers based on location information carried in the object log, generates connection state information according to a second object log corresponding to the home network device identifier, performs screening processing on multiple object identifiers associated with the home network device identifier according to the connection state information, determines a home object identifier, and generates information corresponding to the home network device identifier according to a third object log corresponding to the home object identifier. The scheme of the invention integrates the object logs of a plurality of service systems, uses the characteristics of the geographic positions in the object logs to identify the home network equipment identifier belonging to the home network and the home object identity identifier corresponding to the home network, uses the home network equipment identifier as a unified identifier of a family, and analyzes the object logs corresponding to the home object identity identifier to realize the information creation.
To this end, the embodiment of the present invention provides a storage medium, in which a plurality of instructions are stored, and the instructions can be loaded by a processor to execute any one of the information constructing methods provided by the embodiment of the present invention. For example, the instructions may perform:
acquiring a first object log collected by a plurality of service systems, wherein the first object log carries a network equipment identifier, an object identity identifier and position information;
identifying a home network device identifier from network device identifiers collected by the plurality of business systems based on the location information;
generating connection state information according to a second object log corresponding to the home network equipment identifier, and screening a plurality of object identity identifiers associated with the home network equipment identifier according to the connection state information to determine a home object identity identifier;
and extracting object characteristics from a third object log corresponding to the home object identity identifier, and generating information corresponding to the home network equipment identifier according to the object characteristics.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Wherein the storage medium may include: read Only Memory (ROM), random Access Memory (RAM), magnetic or optical disks, and the like.
Since the instructions stored in the storage medium can execute any information construction method provided by the embodiment of the present invention, beneficial effects that can be achieved by any information construction method provided by the embodiment of the present invention can be achieved, for details, see the foregoing embodiment, and are not described herein again. The above detailed description is provided for an information construction method, an information construction device, and a storage medium according to embodiments of the present invention, and a specific example is applied in the present disclosure to explain the principles and embodiments of the present invention, and the description of the above embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. An information construction method, comprising:
acquiring first object logs collected by a plurality of service systems, wherein the first object logs carry network equipment identifiers, object identification identifiers and position information, and the number of the object identification identifiers in one family is determined based on the number of account numbers of the service systems used in the family;
identifying a home network device identifier from the network device identifiers collected by the plurality of business systems based on the location information;
generating connection state information according to a second object log corresponding to the home network equipment identifier, and screening a plurality of object identity identifiers associated with the home network equipment identifier according to the connection state information to determine a home object identity identifier;
and extracting object characteristics from a third object log corresponding to the home object identity identifier, and generating information corresponding to the home network equipment identifier according to the object characteristics.
2. The information construction method according to claim 1, wherein the step of extracting object features from a third object log corresponding to the home object id and generating information corresponding to the home network device id according to the object features comprises:
extracting object features from a third object log corresponding to the family object identity, and generating information corresponding to the object identity according to the object features;
and generating information corresponding to the home network equipment identifier according to the information corresponding to the home object identity identifier and the third object log.
3. The information construction method according to claim 2, wherein the step of extracting object features from a third object log corresponding to the family object id and generating information corresponding to the object id according to the object features comprises:
performing data cleaning on a third object log corresponding to the family object identity, and extracting object features from the object log subjected to data cleaning;
generating a first label corresponding to the family object identity according to the object characteristics and a first classification model corresponding to the family object identity;
and generating information corresponding to the family object identity according to the first label.
4. The information construction method according to claim 3, wherein the step of generating information corresponding to the home network device identifier according to the information corresponding to the home object identifier and the third object log comprises:
extracting target object features corresponding to preset label dimensions from a third object log corresponding to the family object identity;
generating a second label corresponding to the preset label dimension according to the target object feature and a second classification model corresponding to the preset label dimension;
and generating information corresponding to the home network equipment identification according to a plurality of second labels corresponding to the preset label dimensions and the first label in the information corresponding to the home object identification.
5. The information construction method of claim 1, wherein the step of identifying a home network device identifier from the network device identifiers collected by the plurality of service systems based on the location information comprises:
analyzing the position information to acquire POI information of the position information in a preset range;
if the POI information contains preset POI information, deleting the network equipment identification corresponding to the position information from the network equipment identifications collected by the plurality of service systems;
and taking the rest network equipment identifications after the deleting operation as the home network equipment identifications.
6. The information construction method according to claim 5, wherein the first object log further carries a network connection time; the step of using the remaining network device identifier after the deletion operation as the home network device identifier includes:
acquiring network connection time corresponding to the residual network equipment identification after the deleting operation;
determining the connection time distribution of the rest network equipment identifications in a first preset time interval according to the network connection time;
and taking the rest network equipment identifications of which the connection time distribution meets a preset distribution rule as the home network equipment identifications.
7. The information construction method according to claim 1, wherein the step of generating connection state information according to the second object log corresponding to the home network device identifier, and performing a screening process on a plurality of object identifiers associated with the home network device identifier according to the connection state information to determine the home object identifier comprises:
generating the connection frequency of each object identity mark associated with the home network equipment mark according to the network connection time carried by a second object log corresponding to the home network equipment mark;
and taking the object identification with the connection frequency not less than the preset connection frequency as the home object identification corresponding to the home network equipment identification.
8. The information construction method of claim 7, wherein the step of using the object id with the connection frequency not less than the preset connection frequency as the home object id corresponding to the home network device identifier comprises:
taking the object identity with the connection frequency not less than the preset connection frequency as a candidate object identity;
if the candidate object identification corresponds to a plurality of home network equipment identifications, counting the connection times between the candidate object identification and the plurality of home network equipment identifications respectively;
when the connection times between the candidate object identification and the home network equipment identification are not the maximum value of the connection times, deleting the candidate object identification from the candidate object identification corresponding to the home network equipment identification;
and taking the residual candidate object identification subjected to the deleting operation as the home object identification corresponding to the home network equipment identification.
9. An information construction apparatus, characterized by comprising:
the system comprises a data acquisition unit, a service system and a service system, wherein the data acquisition unit is used for acquiring a first object log collected by a plurality of service systems, the first object log carries network equipment identification, object identification and position information, and the number of the object identification in one family is determined based on the number of account numbers of the service systems used in the family;
a device identification unit, configured to identify a home network device identifier from network device identifiers collected by the plurality of service systems based on the location information;
the identification association unit is used for generating connection state information according to a second object log corresponding to the home network equipment identification, and screening a plurality of object identification identifications associated with the home network equipment identification according to the connection state information to determine a home object identification;
and the information construction unit is used for extracting object characteristics from a third object log corresponding to the home object identification, and generating information corresponding to the home network equipment identification according to the object characteristics.
10. A storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the information construction method according to any one of claims 1 to 8.
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