CN109165282A - A kind of network data grasping means and system - Google Patents
A kind of network data grasping means and system Download PDFInfo
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- CN109165282A CN109165282A CN201810862065.5A CN201810862065A CN109165282A CN 109165282 A CN109165282 A CN 109165282A CN 201810862065 A CN201810862065 A CN 201810862065A CN 109165282 A CN109165282 A CN 109165282A
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Abstract
The invention discloses a kind of network data grasping means, belong to internet area.This method comprises: receiving the content access request and user information that user is sent by traffic ingress, user information is labeled with unique identification, other information is as related information, it is stored in system database, parses content access request and user information, corresponding content is obtained from system for content library and is exported, obtain the feedback information that user is directed to content, feedback information is parsed, the related information of user is obtained, in system database with the unique identification associated storage of user.During user carries out access to content, user data is grabbed, and combine user to the feedback information for obtaining content, user data is supplemented and is arranged, is more able to satisfy application demand using user data.
Description
Technical field
The present invention relates to Internet technical field, in particular to a kind of network data grasping means and system.
Background technique
The integration of Internet user's information scratching, essence are exactly in each field of every profession and trade, and user has oneself certain rule
Behavioural habits and personal preference can all deposit a certain amount of user data information over time, expand to each
It will be a very numerous and jumbled scale of construction in field, in numerous treating methods, we often clean data, therefrom
Get our actual needs.How in so huge and complicated information, getting the part that we want has
Data, as soon as or even tool as going out variable but is controllable user subject, become especially important.If only only
It is that simply data are carried out with preliminary screening and analysis, is not able to satisfy existing market needs, and in various industries
More specific, more professional, more abstract content information is needed, the needs of user just can be preferably caught.
Summary of the invention
The embodiment of the invention provides a kind of network data grasping means and systems.It is some for the embodiment to disclosure
Aspect has a basic understanding, and simple summary is shown below.The summarized section is not extensive overview, nor to determine
Key/critical component or the protection scope for describing these embodiments.Its sole purpose is presented with simple form
Concept, in this, as the preamble of following detailed description.
According to a first aspect of the embodiments of the present invention, a kind of network data grasping means is provided, comprising:
Receive the content access request and user information that user is sent by traffic ingress；
The user information is labeled with unique identification, other information is stored in system data as related information
In library；
The content access request and user information are parsed, corresponding content is obtained from system for content library and is exported；
Obtain the feedback information that the user is directed to the content；
The feedback information is parsed, the related information of the user is obtained, in the system database with institute
State the unique identification associated storage of user.
In some optional embodiments, the unique identification, are as follows:
The social software account of the communicating number of the user or the user.
In some optional embodiments, the parsing content access request, obtains corresponding from system for content library
Content simultaneously exports, comprising:
In conjunction with the user information, the content access request is parsed by natural language processing technique, from system for content
Content corresponding with the content access request and user information is obtained in library, and is exported.
In some optional embodiments, the method also includes:
Analytical integration is carried out to the user information stored in system, is based on established standards, is used for user information addition
Family label；
In conjunction with the user tag, user information and content access request obtain corresponding content from system for content library
And it exports.
It in some optional embodiments, further include user behavior data in the related information.
In some optional embodiments, the method also includes:
Based on the user information saved in system, when recognizing the user accessed again, by artificial intelligence mode, in conjunction with
The user information of the user obtains recommendation from system for content library, and exports.
According to a second aspect of the embodiments of the present invention, a kind of network data grasping system is provided, comprising:
Receiving module, the content access request sent by traffic ingress for receiving user and user information；
Memory module, for the user information to be labeled with unique identification, other information is deposited as related information
Storage is in system database；
Content output module, for parsing the content access request and user information, the acquisition pair from system for content library
The content answered and output；
Feedback obtains module, the feedback information for being directed to the content for obtaining the user；
Associated storage module obtains the related information of the user, described for parsing to the feedback information
In system database with the unique identification associated storage of the user.
In some optional embodiments, the parsing content access request, obtains corresponding from system for content library
Content simultaneously exports, comprising:
In conjunction with the user information, the content access request is parsed by natural language processing technique, from system for content
Content corresponding with the content access request and user information is obtained in library, and is exported.
In some optional embodiments, the system also includes:
Label adding module is based on established standards, for carrying out analytical integration to the user information stored in system for institute
State user information addition user tag；
The content output module is also used in conjunction with the user tag, user information and content access request, from system
Corresponding content is obtained in content library and is exported.
In some optional embodiments, the content output module, is also used to:
Based on the user information saved in system, when recognizing the user accessed again, by artificial intelligence mode, in conjunction with
The user information of the user obtains recommendation from system for content library, and exports.
According to a third aspect of the embodiments of the present invention, a kind of computer equipment is provided.
In some optional embodiments, the computer equipment includes memory, processor and is stored in the memory
Program that is upper and being run by the processor, the processor realize above-mentioned network data crawl side when executing described program
Method.
According to a fourth aspect of the embodiments of the present invention, a kind of storage medium is provided, computer program is stored thereon with, works as institute
It states and realizes above-mentioned network data grasping means when computer program is executed by processor.
Technical solution provided in an embodiment of the present invention can include the following benefits:
During user carries out access to content, user data is grabbed, and combine user to the feedback letter for obtaining content
Breath, supplements user data and is arranged, be more able to satisfy application demand using user data.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
It can the limitation present invention.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention
Example, and be used to explain the principle of the present invention together with specification.
Fig. 1 is a kind of flow diagram of network data grasping means shown according to an exemplary embodiment；
Fig. 2 is a kind of block diagram of network data grasping system shown according to an exemplary embodiment.
Specific embodiment
The following description and drawings fully show specific embodiments of the present invention, to enable those skilled in the art to
Practice them.Other embodiments may include structure, logic, it is electrical, process and other change.Embodiment
Only represent possible variation.Unless explicitly requested, otherwise individual components and functionality is optional, and the sequence operated can be with
Variation.The part of some embodiments and feature can be included in or replace part and the feature of other embodiments.This hair
The range of bright embodiment includes equivalent obtained by the entire scope of claims and all of claims
Object.Herein, each embodiment individually or can be indicated generally with term " invention ", and it is convenient that this is used for the purpose of,
And if in fact disclosing the invention more than one, the range for being not meant to automatically limit the application is any single invention
Or inventive concept.Herein, relational terms such as first and second and the like be used only for by an entity or operation with
Another entity or operation distinguish, and without requiring or implying, there are any actual relationships between these entities or operation
Or sequence.Moreover, the terms "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, thus
So that process, method or equipment including a series of elements not only include those elements, but also including being not explicitly listed
Other element, or further include for this process, method or the intrinsic element of equipment.In the feelings not limited more
Under condition, the element that is limited by sentence "including a ...", it is not excluded that in process, method or equipment including the element
In there is also other identical elements.Each embodiment herein is described in a progressive manner, and each embodiment stresses
Be the difference from other embodiments, the same or similar parts in each embodiment may refer to each other.For implementing
For method, product etc. disclosed in example, since it is corresponding with method part disclosed in embodiment, so the comparison of description is simple
Single, reference may be made to the description of the method.
As shown in Figure 1, the present invention provides a kind of network data grasping means, comprising:
S101, content access request and user information that user is sent by traffic ingress are received；
S102, the user information is labeled with unique identification, other information is stored in system as related information
In database；
S103, the parsing content access request and user information obtain corresponding content and defeated from system for content library
Out；
S104, the feedback information that the user is directed to the content is obtained；
S105, the feedback information is parsed, obtains the related information of the user, in the system database
With the unique identification associated storage of the user.
In some optional embodiments, the unique identification, are as follows:
The social software account of the communicating number of the user or the user.
Realization of the invention, the system for realizing content output and user information crawl based on one have in system and include
Article, video, the content library of the content informations such as audio, when user's progress content is checked, system grabs user information.Content library
In content, have type, classification, target user, label, equal angular mark of whether paying.
User can access the system by traffic ingress, and traffic ingress can be the modes such as social software, WEB, APP.This is
System can be presented to user by application environment, the channels such as H5.System itself is to support oneself independent running, is needing to connect
The inlet entered can be accessed by modes such as application program API binding, link address access, make the content of system very
It readily appears in various network environments, realizes that primary assembled many places are launched, make user's more convenient and quicker browses to them
Desired information, to grab richer user information from the user of browsing content.
After user enters from different traffic ingress, user information can be carried out a merging treatment by system, will be used
The communicating number or social networks account at family, as the unique identification in system, using other data in user information as association
Information is stored in related information table, plays one-to-many effect.User enters user's letter of system from different flow entrance
Breath is stored in systems under one mark of dimension.Data structure in this way, system not only can by single mark come
It determines the unique identity of user, the overall outline of user can also be drawn by multi-party dimension.
When system identification to user is in access system, accurately user can be recommended to user by the mode of artificial intelligence
Interested content, or when user has input content access request, i.e. user has actively carried out content search, and system can lead to
Natural language processing is crossed, the content of user's search is found, i.e., is carried out the content of search by the Chinese word segmentation of search engine bright
The fractionation of refinement, then inquire finer data information.User can obtain corresponding content letter by both the above mode
Breath, by the two big content ways of recommendation of AI and search, commending contents can be more accurate, efficient, keeps content more preferably faster
Launch user at the moment, improve user experience, while the content when the user clicks, and carry out it is attached thumb up, collect, purchase
After the operations such as buying, all these user behavior datas can be stored in system database as user information by us.
After user information is carried out detailed analysis and integration by system, label can be added for user, such as: the user's
The number for buying commodity is more than certain magnitude, can assign him the label of one " shopping intelligent ", and label addition, which can follow, to be set
Calibration is quasi- and rule, and can be adjusted at any time, and such user itself just has oneself a kind of label category in systems
Property, there is a kind of identity.At this point, again by the identification information of the user, it is by way of synchronizing information, the label is synchronous
Into the database of different user sources.After user has been assigned label, system can be directed to label, carry out to user
Commending contents, such as label are the user of " shopping intelligent ", and system can recommend the relevant content of shopping more abundant out.
The system is using content as entrance, and operation based on user to content gradually obtains comprehensive user information.
As shown in Fig. 2, the present invention also provides a kind of network data grasping systems, comprising:
Receiving module 201, the content access request sent by traffic ingress for receiving user and user information；
Memory module 202, for the user information to be labeled with unique identification, other information is as association letter
Breath, is stored in system database；
Content output module 203 is obtained from system for content library for parsing the content access request and user information
Corresponding content simultaneously exports；
Feedback obtains module 204, the feedback information for being directed to the content for obtaining the user；
Associated storage module 205 obtains the related information of the user for parsing to the feedback information,
In the system database with the unique identification associated storage of the user.
In some optional embodiments, the parsing content access request, obtains corresponding from system for content library
Content simultaneously exports, comprising:
In conjunction with the user information, the content access request is parsed by natural language processing technique, from system for content
Content corresponding with the content access request and user information is obtained in library, and is exported.
In some optional embodiments, the system also includes:
Label adding module 206, for being based on established standards to the user information progress analytical integration stored in system,
User tag is added for the user information；
The content output module 203, is also used in conjunction with the user tag, user information and content access request, from
Corresponding content is obtained in system for content library and is exported.
In some optional embodiments, the content output module 203, is also used to:
Based on the user information saved in system, when recognizing the user accessed again, by artificial intelligence mode, in conjunction with
The user information of the user obtains recommendation from system for content library, and exports.
According to a third aspect of the embodiments of the present invention, a kind of computer equipment is provided.
In some optional embodiments, the computer equipment includes memory, processor and is stored in the memory
Program that is upper and being run by the processor, the processor realize above-mentioned network data crawl side when executing described program
Method.
Technical solution provided in an embodiment of the present invention can include the following benefits:
During user carries out access to content, user data is grabbed, and combine user to the feedback letter for obtaining content
Breath, supplements user data and is arranged, be more able to satisfy application demand using user data.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instruction, example are additionally provided
It such as include the memory of instruction, above-metioned instruction can be executed by processor to complete previously described method.Above-mentioned non-transitory meter
Calculation machine readable storage medium storing program for executing can be read-only memory (Read Only Memory, ROM), random access memory (Random
Access Memory, RAM), tape and light storage device etc..
It will be appreciated by those of skill in the art that unit described in conjunction with the examples disclosed in the embodiments of the present disclosure and
Algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually with hard
Part or software mode execute, the specific application and design constraint depending on technical solution.Those of skill in the art can be with
Each specific application is used different methods to achieve the described function, but this realization is it is not considered that exceed this hair
Bright range.It is apparent to those skilled in the art that for convenience and simplicity of description, foregoing description is
The specific work process of system, system and unit, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
In embodiments disclosed herein, it should be understood that disclosed method, product (including but not limited to system, set
It is standby etc.), it may be implemented in other ways.For example, system embodiment described above is only schematical, for example,
The division of the unit, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple
Unit or assembly can be combined or can be integrated into another system, or some features can be ignored or not executed.It is another
Point, shown or discussed mutual coupling, direct-coupling or communication connection can be through some interfaces, system or
The indirect coupling or communication connection of unit can be electrical property, mechanical or other forms.It is described single as illustrated by the separation member
Member may or may not be physically separated, and component shown as a unit may or may not be physics
Unit, it can it is in one place, or may be distributed over multiple network units.It can select according to the actual needs
Some or all of unit therein achieves the purpose of the solution of this embodiment.In addition, in each embodiment of the present invention each
Functional unit can integrate in one processing unit, is also possible to each unit and physically exists alone, can also be two or two
A above unit is integrated in one unit.
It should be understood that the flow chart and block diagram in the drawings show the system of multiple embodiments according to the present invention,
The architecture, function and operation in the cards of method and computer program product.In this regard, in flowchart or block diagram
Each box can represent a part of a module, section or code, a part packet of the module, section or code
Containing one or more executable instructions for implementing the specified logical function.It should also be noted that in some realities as replacement
In existing, function marked in the box can also occur in a different order than that indicated in the drawings.For example, two continuous sides
Frame can actually be basically executed in parallel, they can also be executed in the opposite order sometimes, this according to related function and
It is fixed.It is also noted that the group of each box in block diagram and or flow chart and the box in block diagram and or flow chart
It closes, can be realized with the dedicated hardware based system for executing defined function or movement, or specialized hardware can be used
Combination with computer instruction is realized.The invention is not limited to the process for being described above and being shown in the accompanying drawings and knots
Structure, and various modifications and changes may be made without departing from the scope thereof.The scope of the present invention only by the attached claims Lai
Limitation.
Claims (10)
1. a kind of network data grasping means characterized by comprising
Receive the content access request and user information that user is sent by traffic ingress；
The user information is labeled with unique identification, other information is stored in system database as related information；
The content access request and user information are parsed, corresponding content is obtained from system for content library and is exported, it is described interior
Content in Rong Ku；
Obtain the feedback information that the user is directed to the content；
The feedback information is parsed, the related information of the user is obtained, in the system database with the use
The unique identification associated storage at family.
2. the method as described in claim 1, which is characterized in that the unique identification, are as follows:
The social software account of the communicating number of the user or the user.
3. the method as described in claim 1, which is characterized in that the parsing content access request, from system for content library
It is middle to obtain corresponding content and export, comprising:
In conjunction with the user information, the content access request is parsed by natural language processing technique, from system for content library
Content corresponding with the content access request and user information is obtained, and is exported.
4. the method as described in claim 1, which is characterized in that the method also includes:
Analytical integration is carried out to the user information stored in system, is based on established standards, adds user's mark for the user information
Label；
In conjunction with the user tag, user information and content access request obtain corresponding content and defeated from system for content library
Out.
5. the method as described in claim 1, which is characterized in that further include user behavior data in the related information.
6. the method as described in claim 1, which is characterized in that the method also includes:
Based on the user information saved in system, when recognizing the user accessed again, by artificial intelligence mode, in conjunction with the use
The user information at family obtains recommendation from system for content library, and exports.
7. a kind of network data grasping system characterized by comprising
Receiving module, the content access request sent by traffic ingress for receiving user and user information；
Memory module, for the user information to be labeled with unique identification, other information is stored in as related information
In system database；
Content output module obtains corresponding for parsing the content access request and user information from system for content library
Content simultaneously exports；
Feedback obtains module, the feedback information for being directed to the content for obtaining the user；
Associated storage module obtains the related information of the user, in the system for parsing to the feedback information
In database with the unique identification associated storage of the user.
8. system as claimed in claim 7, which is characterized in that the parsing content access request, from system for content library
It is middle to obtain corresponding content and export, comprising:
In conjunction with the user information, the content access request is parsed by natural language processing technique, from system for content library
Content corresponding with the content access request and user information is obtained, and is exported.
9. system as claimed in claim 7, which is characterized in that further include:
Label adding module is based on established standards, is the use for carrying out analytical integration to the user information stored in system
Family information adds user tag；
The content output module is also used in conjunction with the user tag, user information and content access request, from system for content
Corresponding content is obtained in library and is exported.
10. the method as described in claim 1, which is characterized in that the content output module is also used to:
Based on the user information saved in system, when recognizing the user accessed again, by artificial intelligence mode, in conjunction with the use
The user information at family obtains recommendation from system for content library, and exports.
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Application publication date: 20190108 |