CN108268547A - User's portrait generation method and device - Google Patents
User's portrait generation method and device Download PDFInfo
- Publication number
- CN108268547A CN108268547A CN201611270534.1A CN201611270534A CN108268547A CN 108268547 A CN108268547 A CN 108268547A CN 201611270534 A CN201611270534 A CN 201611270534A CN 108268547 A CN108268547 A CN 108268547A
- Authority
- CN
- China
- Prior art keywords
- user
- information
- label
- user behavior
- user account
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000012216 screening Methods 0.000 claims description 16
- 230000002123 temporal effect Effects 0.000 claims description 11
- 238000005065 mining Methods 0.000 claims description 8
- 238000007781 pre-processing Methods 0.000 claims description 4
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 2
- 238000002156 mixing Methods 0.000 claims 1
- 230000006399 behavior Effects 0.000 description 159
- 230000003542 behavioural effect Effects 0.000 description 11
- 230000004927 fusion Effects 0.000 description 6
- 230000000694 effects Effects 0.000 description 4
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 102100040401 DNA topoisomerase 3-alpha Human genes 0.000 description 2
- 101000611068 Homo sapiens DNA topoisomerase 3-alpha Proteins 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000002650 habitual effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011017 operating method Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 241000254173 Coleoptera Species 0.000 description 1
- 235000007926 Craterellus fallax Nutrition 0.000 description 1
- 240000007175 Datura inoxia Species 0.000 description 1
- VAYOSLLFUXYJDT-RDTXWAMCSA-N Lysergic acid diethylamide Chemical compound C1=CC(C=2[C@H](N(C)C[C@@H](C=2)C(=O)N(CC)CC)C2)=C3C2=CNC3=C1 VAYOSLLFUXYJDT-RDTXWAMCSA-N 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 235000019993 champagne Nutrition 0.000 description 1
- 230000001149 cognitive effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2216/00—Indexing scheme relating to additional aspects of information retrieval not explicitly covered by G06F16/00 and subgroups
- G06F2216/03—Data mining
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of user portrait generation method and devices.Wherein, this method includes：User account information and user behavior information are obtained from the website that user accesses；According to user account tag database, obtain the user account information label to match with user account information and according to user behavior tag database, obtain the user behavior information labels with user behavior information match；According to user account information label and user behavior information labels, user's portrait is obtained.When the present invention is solved in the prior art using user account information structure user's portrait, user's portrait caused by since information is inadequate is not comprehensive and when being drawn a portrait using user behavior information architecture user, the technical issues of personal portrait cannot be generated caused by due to that can not navigate to specific crowd.
Description
Technical field
The present invention relates to computer internet field, in particular to a kind of user portrait generation method and device.
Background technology
With internet and the high speed development of mobile application, the people in society rely on internet and go more and more
It solves the problems, such as more real-life and solves efficiency for optimizing solution process, improving, based on this overall situation, largely
Personal user information and user behavior information be full of in internet, form valuable " data precious deposits ", from these " number
According to precious deposits " in can dig according to going out highly useful information and business opportunity, then, more and more scholars, research institution and commerciality
The enterprise of matter by internet mass users generate magnanimity information carry out " effective information screening " and " information digging evidence " come
User's portrait is established, to obtain the sales lead of precision, wherein, user's portrait is also known as user role (Persona), as
A kind of effective tool for delineating target user, contact user's demand and design direction, user's portrait have obtained extensively in each field
Application.
There are two ways to forming user's portrait in the prior art, first method is by obtaining personage's base about user
This attribute, such as gender, age (section), educational background etc. seem more well-rounded portray of characters as use so as to build one
It draws a portrait at family；Second method by web terminal website or mobile terminal app it is various it is stateful change (such as the page be loaded into, the page
Redirect) and there is interactive place to carry out " burying a little ", so as to be carried out to each node key index that can reflect user behavior
Statistics, so as to obtain some information about user behavior, such as in user's accounting that first level pages are lost in be it is how many, percent
How many users clicks the information such as the advertisement of advertisement space displaying, a series of based on without mark personage's statistics so as to obtain
User behavior is drawn a portrait.
Above-mentioned first method is counted by the primary attribute to personage so as to generate personage's portrait, existing to lack
It is trapped in and is not enough to that a user for having high value is supported to draw a portrait in the information (such as gender, age etc.) that can be got, and high price
The information (such as occupation, emolument income level, kith and kin's relationship, home address etc.) of value is all usually with high confidentiality, it is difficult to be obtained
Get, thus by this method obtained from the application value and little drawn a portrait of personage；Second method is by existing to user
A series of behaviors generated on internet are drawn a portrait, so as to obtain a series of knots based on statistics about user behavior feature
By, but it has a drawback in that：First, it can not be gone by the statistics of these user behavior key indexes for being based on " burying a little "
Specific crowd is positioned, i.e., is difficult that larger sales lead of reference value etc. is provided to a certain extent；Second, it can not pass through merely
This portrait method ensures that the behavior of user has certain stability, i.e., it is possible that being counted into some user behaviors of statistical value
Be not the behavior that user can occur usually, be not based on user's custom user psychology cognitive model in other words, but it is a kind of with
Machine behavior, such as certain user are a fanatic TVB play fan originally, and user some day has a brainwave to be searched on microblogging
Some newest Japanese TV plays either the message such as popular recently hand trip but this can not illustrate that the user is Japanese TV play or hand trip
High pay-off target audient.
For in the prior art use user account information structure user draw a portrait when, due to information it is inadequate caused by user
When portrait is not comprehensive and drawn a portrait using user behavior information architecture user, caused by since specific crowd can not be navigated to not
The problem of personal portrait can be generated, currently no effective solution has been proposed.
Invention content
An embodiment of the present invention provides a kind of user portrait generation method and device, at least to solve to use in the prior art
During user account information structure user's portrait, user's portrait caused by since information is inadequate is not comprehensive and use user behavior
When information architecture user draws a portrait, personal the technical issues of drawing a portrait cannot be generated caused by since specific crowd can not be navigated to.
One side according to embodiments of the present invention provides a kind of user's portrait generation method, including：It is accessed from user
Website obtain user account information and user behavior information；According to user account tag database, obtain believing with user account
The matched user account information label of manner of breathing and according to user behavior tag database, obtains and user behavior information phase
The user behavior information labels matched；Wherein, user account tag database is used to store a variety of user account informations and label, with
And the matching relationship between a variety of user account informations and label, user behavior tag database are used to store a variety of user behaviors
Matching relationship between information and label and a variety of user behavior information and label；According to user account information label and use
Family behavioural information label obtains user's portrait.
Another aspect according to embodiments of the present invention additionally provides a kind of user's portrait generating means, including：Obtain mould
Block, for obtaining user account information and user behavior information from the website that user accesses；First tag generation module, for root
According to user account tag database, the user account information label to match with user account information is obtained；Wherein, user account
Tag database is used to store the matching between a variety of user account informations and label and a variety of user account informations and label
Relationship；Second tag generation module, for according to user behavior tag database, obtaining the use with user behavior information match
Family behavioural information label；Wherein, user behavior tag database is for storing a variety of user behavior information and label and a variety of
Matching relationship between user behavior information and label；Portrait generation module, for according to user account information label and user
Behavioural information label obtains user's portrait.
In embodiments of the present invention, in a manner that user account information and user behavior information are combined, by from
The website that family accesses obtains user account information and user behavior information, and according to user account tag database, obtains and use
User account information label that family account information matches and according to user behavior tag database, obtains and user behavior
The user behavior information labels of information match, then according to user account information label and user behavior information labels, finally
User's portrait is obtained, has achieved the purpose that the more comprehensive user of generation draws a portrait and can navigate to specific crowd, it is achieved thereby that
Make more plentiful user's portrait, value higher, the stronger technique effect of adaptability, and then solve and use user in the prior art
Account information structure user portrait when, due to information it is inadequate caused by user portrait it is not comprehensive and use user behavior information
When building user's portrait, personal the technical issues of drawing a portrait cannot be generated caused by since specific crowd can not be navigated to.
Description of the drawings
Attached drawing described herein is used to provide further understanding of the present invention, and forms the part of the application, this hair
Bright illustrative embodiments and their description do not constitute improper limitations of the present invention for explaining the present invention.In the accompanying drawings：
Fig. 1 is a kind of flow chart of according to embodiments of the present invention 1 user portrait generation method；
Fig. 2 is a kind of flow chart of according to embodiments of the present invention 1 optional user's portrait generation method；
Fig. 3 is a kind of structure chart of according to embodiments of the present invention 2 user portrait generating means；
Fig. 4 is a kind of structure chart of according to embodiments of the present invention 2 optional user's portrait generating means；
Fig. 5 is a kind of structure chart of according to embodiments of the present invention 2 optional user's portrait generating means；
Fig. 6 is a kind of structure chart of according to embodiments of the present invention 2 optional user's portrait generating means；And
Fig. 7 is a kind of structure chart of according to embodiments of the present invention 2 optional user's portrait generating means.
Specific embodiment
In order to which those skilled in the art is made to more fully understand the present invention program, below in conjunction in the embodiment of the present invention
The technical solution in the embodiment of the present invention is clearly and completely described in attached drawing, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
Member's all other embodiments obtained without making creative work should all belong to the model that the present invention protects
It encloses.
It should be noted that term " first " in description and claims of this specification and above-mentioned attached drawing, "
Two " etc. be the object for distinguishing similar, and specific sequence or precedence are described without being used for.It should be appreciated that it uses in this way
Data can be interchanged in the appropriate case, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, be not necessarily limited to for example, containing the process of series of steps or unit, method, system, product or equipment
Those steps or unit clearly listed, but may include not listing clearly or for these processes, method, product
Or the intrinsic other steps of equipment or unit.
Embodiment 1
According to embodiments of the present invention, a kind of embodiment of the method for user's portrait generation method is provided, it should be noted that
Step shown in the flowchart of the accompanying drawings can perform in the computer system of such as a group of computer-executable instructions, and
And although showing logical order in flow charts, in some cases, can institute be performed with the sequence being different from herein
The step of showing or describing.
Fig. 1 is user's portrait generation method according to embodiments of the present invention, as shown in Figure 1, this method comprises the following steps：
Step S102 obtains user account information and user behavior information from the website that user accesses.
It, can be with specifically, the account information of user may come from the information that user fills in register account number on website
It is for the information of identity user essential attribute, for user in register account number, website, which can provide, a series of fills in item to supply visitor
Family is filled in, including name, gender, the age, blood group, ownership place, hobby (including hobby color, food, movement, books, film,
Music etc.) etc., according to the professional of website, website can also be supplied to some options of client user to be allowed to select concern information, example
Such as, music website can classify music according to style, age or star, just allow user when user's registration account
Selection pays close attention to which style, which or which star song in age and the selection of user is recorded, with convenient
Later stage push update；For number of site, such as house property website, car website etc., when user is registered, can also allow
User provides some authentication informations, such as it is certification car owner that car website, which can allow user to choose whether, if so, can also provide one
Item or options are filled in obtain the certification information of vehicles of user a bit, brand, model, color including vehicle etc..
The behavioural information of user may come from some concrete behaviors of user when accessing website, including but not only
The behavior of be limited to behavior that user is posted by website, replying model, user website residence time, pay a return visit number,
Return visit is separated by number of days, search key that user uses etc..
In above-mentioned steps S102, the professional based on website can combine row from the website that user accesses to obtain information
Industry feature and industry background, the information got is more specialized, so as to so that the user ultimately generated draws a portrait more
Specialization, so as to allow user portrait it is applied it is stronger, value higher.
Step S104 according to user account tag database, obtains believing with the user account that user account information matches
It ceases label and according to user behavior tag database, obtains the user behavior information labels with user behavior information match；
Wherein, user account tag database for store a variety of user account informations and label and a variety of user account informations and
Matching relationship between label, user behavior tag database is for storing a variety of user behavior information and label and a variety of
Matching relationship between user behavior information and label.
Specifically, stored in user account tag database user account information, label and user account information with
The matching relationship of label, in the case of known users account information, can be found by user account tag database with
The matched label of the user account information, that is, user account information label；User behavior tag database stores user
Behavioural information, label and the matching relationship of user behavior information and label, can be in the case of known users behavioural information
Label with the user behavior information matches, that is, user behavior information mark are found by user behavior tag database
Label；By building user account tag database and user behavior tag database in advance, user account information is being got
After user behavior information, it is possible to inquire label matched with user account information and with user behavior information matches
Label.
Herein it should be noted that actually including in step S104 according to user account tag database, obtain and use
User account information label that family account information matches and according to user behavior tag database, obtains and user behavior information
Two operating procedures of the user behavior information labels to match, two operating procedures are not restricted performs sequence, Ke Yitong for this
Shi Zhihang can also be performed successively, and sequence successively does not also limit.
Optionally, user account tag database and user behavior tag database are all the newer databases of dynamic,
It the operations such as can be deleted the content in database, change, increase, updating, to ensure the reliability of database.
It should be noted that in user account tag database, the relationship of user account information and label is not necessarily
Correspondingly, possible multiple user account informations correspond to same label, it is also possible to which a user account information corresponds to multiple
Label；In user behavior tag database, it is equally possible to which multiple user behavior information correspond to same label, it is also possible to a use
Family behavioural information corresponds to multiple labels.
It is that year of birth is in user account information in user account tag database in a kind of optional embodiment
To when 1989 or when the age is 27 years old to 36 years old, corresponding label is " after 80s " within 1980, so if age of user is
27 years old, by inquiring user account tag database, the label of " after 80s " can be obtained.
It, can will similar " I intends to buy ... ", " I in user behavior tag database in a kind of optional embodiment
It is right ... interested " etc. similar information matches " interest be ... " label, such as contain that " I intends in the model of user's hair
It buys the user behavior information of BMW X5 " next month, by inquiring user behavior tag database, can obtain " interest is BMW "
Or the label of " interest is BMW X5 ".
Step S106 according to user account information label and user behavior information labels, obtains user's portrait.
Specifically, after user account information label and user behavior information labels is obtained, it is possible to which user account is believed
Breath label and user behavior information labels combine, and collectively form user's portrait, compared to using only user account information or
User behavior information generation user draws a portrait, and the portrait generated in the present embodiment is more comprehensively and abundant.
By above-mentioned steps S102- step S106, the above embodiment of the present invention uses user account information and user behavior
The mode that information is combined, by obtaining user account information and user behavior information from the website that user accesses, and according to
Family account tag database obtains the user account information label to match with user account information and according to user behavior
Tag database obtains the user behavior information labels with user behavior information match, then according to user account information mark
Label and user behavior information labels finally obtain user's portrait, have reached the more comprehensive user's portrait of generation and can navigate to tool
The purpose of the crowd of body, it is achieved thereby that make more plentiful user's portrait, value higher, the stronger technique effect of adaptability, into
And when solving in the prior art using user account information structure user's portrait, user caused by since information is inadequate draws a portrait
When not comprehensive and use user behavior information architecture user draws a portrait, it cannot be given birth to caused by since specific crowd can not be navigated to
The technical issues of drawing a portrait into individual.Herein it should be noted that by above-described embodiment, personal portrait can not only be generated,
Group's portrait can be generated.
In a kind of optional embodiment, user account information includes at least one following：User name, gender, ownership place,
Age, user authentication information and user pay close attention to information.
Specifically, the user account information recorded in different web sites is different, it has been merely given as above relatively common
It is several, be not limited only to provide in above-described embodiment several of the user account information in the present embodiment and hereinbefore refer to
Other users account information further includes development existing and with information technology, in the future it is possible that can be by website records
User account information.
In a kind of optional embodiment, according to user account tag database in step S104, obtain and user account
The user account information label of information match, including：
Step S202 according to user account tag database, is obtained and the matched label of user authentication information；
Step S204, according to user account tag database, obtain in user account information in addition to user authentication information
Except the label that matches of other information, according to the label and preset rules to match with other information, pair and user authentication
The label of information matches is screened, and obtains the user account information label to match with user account information.
Specifically, in the case where user account information includes user authentication information, it can be from family account information and mark
Sign database, obtain with the matched label of user authentication information, however, to ensure that the reliability of label, can use user's account
Other information and preset rules pair in the information of family carry out postsearch screening with the matched label of user authentication information, delete and use
Label that is clearly contradicted either unreasonable or not meeting preset rules in the matched label of family authentication information, wherein, preset rule
Be also included in then occur it is clearly contradicted in the case of to the choice of label rule, for example, according to user account tag database,
Can obtain with the matched label of user authentication information, can equally obtain matching with the other information in user account information
Label, can specify that in the case of there are label contradiction, in preset rules be retain with the matched mark of user authentication information
The label that label or reservation match with the other information in user account information.
In a kind of optional embodiment, in the user account information got from a car website, the gender of user
For " man ", certification information of vehicles is " brand of vehicle is beetle, and the color of vehicle is pink colour ", and user pays close attention to user in information and pays close attention to
" man recommends vehicle " inquires a label matched with certification information of vehicles as " women using user account tag database
Have a preference for vehicle ", information is paid close attention to according to the gender of user and user first, it may be determined that user is male, and can be by as follows
Preset rules：When portraying particular user portrait in the case where determining user's gender, it can delete and be carried in the label of generation
The label that gender speculates, therefore summary information, can delete " women preference vehicle " label of generation.
It, can in the case where user account information includes user authentication information by above-mentioned steps S202- step S204
A postsearch screening is carried out with pair corresponding with a user authentication information label so that the user account information label finally obtained more subject to
It is really reliable.
In a kind of optional embodiment, user behavior information includes the text message and temporal information of user behavior, because
According to user behavior tag database in this step S104, the user behavior information labels with user behavior information match are obtained
Before, including step S108：User behavior information is pre-processed；Wherein, user behavior information is pre-processed, wrapped
It includes：Text mining is carried out to text message and according to temporal information to the progress timeliness classification of user behavior information and/or again
The property wanted is classified.
Specifically, after user behavior information is obtained, since user behavior information may include diversified Information Number
According to not all behavioural information may serve to generation user's portrait, so needing to locate user behavior information in advance
Reason in the case of text message and temporal information the generation user's portrait for using user behavior, can use text mining work
Have and text mining is carried out to the text message in user behavior, removed according to pre-set text mining rule useless in text message
Information, screening obtain text message valuable, that availability is strong, can be to text in conjunction with the corresponding temporal information of text message
The timeliness and importance of this information are determined, for example, a time range can be pre-set, in the preset time range
Interior text message timeliness is strong, important；It is not heavy enough without the text message poor in timeliness in the preset time range
It will；Be classified specifically, timeliness classification and/or importance can be carried out to user behavior information, for example, can simply by when
Effect property is divided into that timeliness is strong, weak two grades, can also specifically be divided into more than two grade.
In a kind of optional embodiment, according to user behavior tag database in step S104, obtain and user behavior
The user behavior information labels of information match, including：
Step S402, according to the timeliness of user behavior information classification and/or importance classification to user behavior information into
Row screening, the user behavior information after being screened.
Step S404 according to user behavior tag database, obtains the use with the user behavior information match after screening
Family behavioural information label.
Specifically, after timeliness classification and/or importance classification are carried out to user behavior information, it can be to user behavior
Information is screened, such as can select to match and/or to which the user behavior information of which timeliness rank
The other user behavior information of significance level is matched, and in general, is obtained by the user behavior information that timeliness is high, importance is strong
The value higher of user's portrait arrived, therefore by the screening to user behavior information, can be arranged according to timeliness and importance
Except poor in timeliness, not important enough user behavior information.
By above-mentioned steps S108, give when user behavior information is text message and temporal information to user behavior
The mode that information is pre-processed, of the user behavior tag database of user behavior information and prebuild by pretreatment
It is more preferable with property, in the case of avoiding the too many noise of the garbage included in user behavior information too big, inquire user behavior mark
Excessively slow or lookup leads to not match less than the user behavior information stored in user behavior tag database when signing database
Outgoing label happens.
In a kind of optional embodiment, step S106 includes step S302：According to the weight of user account information label
With the weight of user behavior information labels, using Multi-source Information Fusion algorithm, user's portrait is obtained.
Specifically, after user account information label and user behavior information labels is obtained, can generate according to user's account
Family information labels and user behavior information labels generation user's portrait, melt wherein the multi-source information based on label weight may be used
Hop algorithm, in prebuild user account tag database and user behavior tag database, to the weight of each label also into
Go definition, the weight size of label can represent the confidence level of label, that is, the weight of label is bigger, and confidence level is higher,
The weight of label is smaller, and confidence level is lower.Wherein, Multi-source Information Fusion algorithm has been ripe algorithm, and this will not be repeated here.
By above-mentioned steps S302, give using Multi-source Information Fusion algorithm, according to the power of user account information label
The weights of weight and user behavior information labels obtain the mode of user's portrait, and through this embodiment, it is more objective, more to generate
Few redundancy, more valuable user portrait.
In a kind of optional embodiment, as shown in Fig. 2, in the user's portrait for building automobile industry, vapour can be selected
The information source website of garage's industry, such as the family of automobile, easy vehicle net, love card automobile, Pacific Ocean automobile etc., user is accessing above-mentioned information source
During website, user account information and user behavior information can be left, therefore can use be acquired by the website that user accesses
Family account information and user behavior information.
User account information can include gender, ownership place, age, concern information of vehicles, vehicle authentication information etc., wherein
It pays close attention to the user that information of vehicles corresponds to above and pays close attention to information, vehicle authentication information corresponds to user authentication information above, vehicle
Authentication information includes the information field for being used for identifying user's " whether being certification car owner ", when the user is certification car owner
It waits, further includes the certification information of vehicles of the user, if the user is not certification car owner, the information word of " whether being certification car owner "
Section is sky.
The automobile industry knowledge of automobile industry can be specifically included in the user account tag database built in advance
Library, the main body research object (first row) of automobile industry knowledge base are certain a determining vehicles, the information in row behind
It is the label portrayed the objective feature of this vehicle and subjective feature, i.e. every a line in automobile industry knowledge base,
It represents to be used to portray the information of vehicles that the label of the specific vehicle of certain money forms by several；By the certification information of vehicles of certification car owner
It is matched with the vehicle information of the first row in automobile industry knowledge base, the vehicle information of certification information of vehicles is found, by vehicle
The corresponding label of type information extracts, for marking certification car owner, further according to certification car owner other account informations and
With the rule that industry data and experience pre-establish into the postsearch screening of row label, delete unreasonable in the label extracted for the first time
Some labels, finally, obtain the user account information label for identifying certification car owner；It, can if unverified car owner
First to match the label of " concern information of vehicles ", come to carry out secondary sieve to label further according to the other information in user account information
Choosing.
User behavior information can be text message and the time that user in website was posted by, replied the behaviors such as model
Information, wherein text message include but not limited to text type, title, body matter etc., and text mining is carried out to text message
After processing, binding time information, it is possible to determine that the timeliness and significance level of text message, later according to pretreated information
User behavior tag database is inquired, automobile industry user behavior can also be named as and be intended to matching database, which can
Be according to user behavior information analysis of the previous magnanimity based on automobile industry feature and excavate it is obtained can be identified for that compared with
It is that typically " user's speech-behavior " correspondence so as to generate some behavior labels, is available for portraying by inquiry
The user behavior information labels of user behavior feature.
After user account information label and user behavior information labels is obtained, by user account information label and user's row
User's representation data library is collectively formed for information labels, using user's portrait algorithm based on label, such as based on label weight
Multi-source Information Fusion algorithm, it is possible to obtain compared with horn of plenty and complete user portrait, appropriate mode can be taken later
The result of user's portrait is shown.
It is the personal user's portrait result obtained using above-described embodiment below：
User name：XXX.
Gender：Man.
Age：35.
Habitual residence：Beijing.
(certification) possesses vehicle：Audi A6L.
Vehicle interested (ranking is successively)：1. Audi Q7；2. BMW X5；3. Land Rover.
Topic of interest：Self-driving travel；It is outdoor；Photography；Children.
Buying intention is predicted：SUV；Power is good；Movement；35-70w.
Color preference：Champagne；Royalblue.
Brang Preference：Audi；BMW.
It is the group of subscribers portrait result obtained using above-described embodiment below：
Precondition：
Vehicle system：SUV.
Price range：35-70 ten thousand.
As a result：
Vehicle TOP3 of greatest concern：Highlander；Prado；Sharp boundary.
Most popular color TOP3：White；It is red；Black.
Key index word of greatest concern：Power；Space；Comfort.
Target consumer's feature：
Gender：Male.
Age：30-50 Sui.
Habitual residence：One tier 2 cities.
Kinsfolk's number：3 and more than.
Other hobbies：Outdoor sports；Self-driving travel；Photography；Fishing.
Embodiment 2
According to embodiments of the present invention, a kind of product embodiments of user's portrait generating means are provided, Fig. 3 is according to this hair
User's portrait generating means of bright embodiment, as shown in figure 3, the device includes acquisition module 101, the first tag generation module
103rd, the second tag generation module 105 and portrait generation module 107.
Wherein, acquisition module 101, for obtaining user account information and user behavior information from the website that user accesses.
First tag generation module 103, for according to user account tag database, obtaining and user account information phase
The user account information label matched；Wherein, user account tag database is used to store a variety of user account informations and label, with
And the matching relationship between a variety of user account informations and label.
Second tag generation module 105, for according to user behavior tag database, obtaining and user behavior information phase
Wherein, user behavior tag database is used to store a variety of user behavior information and label the user behavior information labels matched, with
And the matching relationship between a variety of user behavior information and label.
Portrait generation module 107, for according to user account information label and user behavior information labels, obtaining user's picture
Picture.
It should be noted that in above-described embodiment, the first tag generation module 103 and the second tag generation module 105 are common
With tag generation module is formed, the first tag generation module 103 and the second tag generation module are not limited in above-described embodiment
105 perform sequence, and the first tag generation module 103 and the second tag generation module 105 may be performed simultaneously its function, also may be used
To be performed according to sequencing, sequence successively does not also limit, and only wherein the first label generation is given in the diagram of Fig. 3
The situation that 103 and second tag generation module 105 of module is performed simultaneously, the present invention is not limited to sequences shown in Fig. 3.
The above embodiment of the present invention passes through acquisition in a manner that user account information and user behavior information are combined
Module 101 obtains user account information and user behavior information from the website that user accesses, and passes through the first tag generation module
103, according to user account tag database, obtain the user account information label to match with user account information and pass through
Second tag generation module 105 obtains the user behavior with user behavior information match according to user behavior tag database
Information labels, it is final to obtain then by generation module 107 of drawing a portrait according to user account information label and user behavior information labels
It draws a portrait to user, has achieved the purpose that the more comprehensive user of generation draws a portrait and can navigate to specific crowd, it is achieved thereby that making
User's portrait is more plentiful, value higher, the stronger technique effect of adaptability, and then solves and use user's account in the prior art
Family information architecture user draw a portrait when, due to information it is inadequate caused by user portrait it is not comprehensive and use user behavior information structure
When building user's portrait, personal the technical issues of drawing a portrait cannot be generated caused by since specific crowd can not be navigated to.It needs herein
It is noted that by above-described embodiment, personal portrait can not only be generated, can also generate group's portrait.
In a kind of optional embodiment, user account information includes at least one following：User name, gender, ownership place,
Age, user authentication information and user pay close attention to information.
In a kind of optional embodiment, as shown in figure 4, the first tag generation module 103 includes the first generation module 201
With the second generation module 203, the first generation module 201, for according to user account tag database, obtaining believing with user authentication
Cease matched label；Second generation module 203, for according to user account tag database, obtain in user account information
The label that other information other than user authentication information matches, according to the label to match with other information and default rule
Then, it pair is screened with the matched label of user authentication information, obtains the user account information to match with user account information
Label.
By above-mentioned first generation module, 201 and second generation module 203, include user authentication in user account information
In the case of information, the second generation module 203 can be corresponding with user authentication information to being obtained by the first generation module 201
Label carry out postsearch screening so that the user account information label finally obtained is more accurately and reliably.
In a kind of optional embodiment, user behavior information can include the text message of user behavior and time letter
Breath, therefore as shown in figure 5, device can also include preprocessing module 109, for being pre-processed to user behavior information；Its
In, user behavior information is pre-processed, including：Text mining is carried out to text message and is determined according to temporal information
Timeliness classification and/or importance classification are carried out to user behavior information.
By above-mentioned preprocessing module 109, give when user behavior information is text message and temporal information to
The mode that family behavioural information is pre-processed, the user behavior label data of user behavior information and prebuild by pretreatment
The matching in library is more preferable, in the case of avoiding the too many noise of the garbage included in user behavior information too big, inquires user
Excessively slow or lookup leads to nothing less than the user behavior information stored in user behavior tag database during behavior tag database
Method matching outgoing label happens.
In a kind of optional embodiment, as shown in fig. 6, the second tag generation module 105 includes screening module 401 and the
Three generation modules 403, screening module 401, for according to the timeliness of user behavior information classification and/or importance classification to
Family behavioural information is screened, the user behavior information after being screened；Third generation module 403, for according to user behavior
Tag database obtains the user behavior information labels with the user behavior information match after screening.
By above-mentioned screening module 401 and third generation module 403, can timeliness be excluded according to timeliness and importance
Poor, not important enough user behavior information.In a kind of optional embodiment, as shown in fig. 7, portrait generation module 107 includes
First portrait generation module 301, for the weight according to user account information label and the weight of user behavior information labels, is adopted
With Multi-source Information Fusion algorithm, user's portrait is obtained.
By the above-mentioned first portrait generation module 301, give using Multi-source Information Fusion algorithm, believed according to user account
It ceases the weight of label and the weight of user behavior information labels obtains the mode of user's portrait, through this embodiment, can generate
More objective, less redundancy, more valuable user portrait.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
In the above embodiment of the present invention, all emphasize particularly on different fields to the description of each embodiment, do not have in some embodiment
The part of detailed description may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, Ke Yiwei
A kind of division of logic function, can there is an other dividing mode in actual implementation, for example, multiple units or component can combine or
Person is desirably integrated into another system or some features can be ignored or does not perform.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be INDIRECT COUPLING or communication link by some interfaces, unit or module
It connects, can be electrical or other forms.
The unit illustrated as separating component may or may not be physically separate, be shown as unit
The component shown may or may not be physical unit, you can be located at a place or can also be distributed to multiple
On unit.Some or all of unit therein can be selected according to the actual needs to realize the purpose of this embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
That each unit is individually physically present, can also two or more units integrate in a unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is independent product sale or uses
When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme of the present invention is substantially
The part to contribute in other words to the prior art or all or part of the technical solution can be in the form of software products
It embodies, which is stored in a storage medium, is used including some instructions so that a computer
Equipment (can be personal computer, server or network equipment etc.) perform each embodiment the method for the present invention whole or
Part steps.And aforementioned storage medium includes：USB flash disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various can to store program code
Medium.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (10)
- The generation method 1. a kind of user draws a portrait, which is characterized in that including：User account information and user behavior information are obtained from the website that user accesses；According to user account tag database, the user account information label to match with the user account information is obtained, with And according to user behavior tag database, obtain the user behavior information labels with the user behavior information match；Wherein, The user account tag database is used to store the matching relationship between user account information and label, the user behavior mark Label database is used to store the matching relationship between user behavior information and label；According to the user account information label and the user behavior information labels, user's portrait is obtained.
- 2. according to the method described in claim 1, it is characterized in that, the user account information is including at least one following：With Name in an account book, gender, ownership place, age, user authentication information and user pay close attention to information.
- 3. according to the method described in claim 2, it is characterized in that, according to user account tag database, obtain and the use The user account information label that family account information matches, including：According to the user account tag database, obtain and the matched label of the user authentication information；According to the user account tag database, obtain in the user account information in addition to the user authentication information it The label that outer other information matches, according to the label and preset rules to match with the other information, pair with the use Authentication information matched label in family is screened, and obtains the user account information label to match with the user account information.
- 4. according to the method described in claim 1, it is characterized in that, the user behavior information includes the text envelope of user behavior Breath and temporal information according to user behavior tag database, obtain believing with the user behavior of the user behavior information match Before ceasing label, including：The user behavior information is pre-processed；Wherein, the user behavior information is pre-processed, including：Text mining, Yi Jigen are carried out to the text message Timeliness classification is carried out to the user behavior information according to the temporal information and/or carries out importance classification；According to user behavior tag database, the user behavior information labels with the user behavior information match are obtained, are wrapped It includes：The user behavior information is sieved according to the classification of the timeliness of the user behavior information and/or importance classification Choosing, the user behavior information after being screened；According to the user behavior tag database, the user behavior with the user behavior information match after the screening is obtained Information labels.
- 5. according to the method described in claim 1, it is characterized in that, according to the user account information label and user's row For information labels, user's portrait is obtained, including：According to the weight of the user account information label and the weight of the user behavior information labels, melted using multi-source information Hop algorithm obtains user's portrait.
- The generating means 6. a kind of user draws a portrait, which is characterized in that including：Acquisition module, for obtaining user account information and user behavior information from the website that user accesses；First tag generation module, for according to user account tag database, obtaining matching with the user account information User account information label；Wherein, the user account tag database is used to store a variety of user account informations and label, And the matching relationship between a variety of user account informations and label；Second tag generation module, for according to user behavior tag database, obtaining and the user behavior information match User behavior information labels；Wherein, the user behavior tag database is used to store a variety of user behavior information and label, And the matching relationship between a variety of user behavior information and label；Portrait generation module, for according to the user account information label and the user behavior information labels, obtaining user Portrait.
- 7. device according to claim 6, which is characterized in that the user account information includes at least one following：With Name in an account book, gender, ownership place, age, user authentication information and user pay close attention to information.
- 8. device according to claim 7, which is characterized in that first tag generation module includes：First generation module, for according to the user account tag database, obtaining matched with the user authentication information Label；Second generation module, for according to the user account tag database, obtain in the user account information in addition to The label that other information except the user authentication information matches, according to the label to match with the other information and in advance If regular, pair screened with the matched label of the user authentication information, obtain what is matched with the user account information User account information label.
- 9. device according to claim 6, which is characterized in that the user behavior information includes the text envelope of user behavior Breath and temporal information, described device further include：Preprocessing module, for being pre-processed to the user behavior information；Wherein, the user behavior information is carried out pre- Processing, including：To the text message carry out text mining and according to the temporal information to the user behavior information into Row timeliness is classified and/or carries out importance classification；Second tag generation module, including：Screening module, for being classified according to the classification of the timeliness of the user behavior information and/or importance to user's row It is screened for information, the user behavior information after being screened；Third generation module, for according to the user behavior tag database, obtaining believing with the user behavior after the screening The matched user behavior information labels of manner of breathing.
- 10. device according to claim 6, which is characterized in that the portrait generation module includes the first portrait and generates mould Block for the weight according to the user account information label and the weight of the user behavior information labels, is believed using multi-source Blending algorithm is ceased, obtains user's portrait.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611270534.1A CN108268547A (en) | 2016-12-29 | 2016-12-29 | User's portrait generation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611270534.1A CN108268547A (en) | 2016-12-29 | 2016-12-29 | User's portrait generation method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108268547A true CN108268547A (en) | 2018-07-10 |
Family
ID=62771259
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611270534.1A Pending CN108268547A (en) | 2016-12-29 | 2016-12-29 | User's portrait generation method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108268547A (en) |
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109213802A (en) * | 2018-08-16 | 2019-01-15 | 北京百度网讯科技有限公司 | User's portrait construction method, device, terminal and computer readable storage medium |
| CN109284932A (en) * | 2018-10-08 | 2019-01-29 | 杭州飞弛网络科技有限公司 | A kind of stranger's social activity user's evaluation method and system based on big data |
| CN109375913A (en) * | 2018-09-11 | 2019-02-22 | 中铁程科技有限责任公司 | Data processing method and device |
| CN109583961A (en) * | 2018-12-04 | 2019-04-05 | 北京唐冠天朗科技开发有限公司 | A kind of method and system of identity-based identification information matching information on services |
| CN109636235A (en) * | 2018-12-26 | 2019-04-16 | 北京汽车研究总院有限公司 | The determination method and processing system of driving behavior portrait model |
| CN109684364A (en) * | 2018-08-21 | 2019-04-26 | 平安普惠企业管理有限公司 | The problem of being drawn a portrait based on user processing method, device, equipment and storage medium |
| CN109933698A (en) * | 2019-02-27 | 2019-06-25 | 腾讯科技（深圳）有限公司 | A kind of the source method of calibration and device of user's portrait |
| CN110009401A (en) * | 2019-03-18 | 2019-07-12 | 康美药业股份有限公司 | Advertisement placement method, device and storage medium based on user's portrait |
| CN110009438A (en) * | 2018-11-07 | 2019-07-12 | 爱保科技（横琴）有限公司 | Information processing method and device based on car owner's community |
| CN110019916A (en) * | 2018-08-17 | 2019-07-16 | 平安普惠企业管理有限公司 | Event-handling method, device, equipment and storage medium based on user's portrait |
| CN110263126A (en) * | 2019-06-20 | 2019-09-20 | 维沃移动通信有限公司 | A kind of generation method and mobile terminal of user's portrait |
| CN110390563A (en) * | 2019-07-17 | 2019-10-29 | 世纪龙信息网络有限责任公司 | Quantization method, device, computer equipment and the storage medium of user's value |
| CN110472680A (en) * | 2019-08-08 | 2019-11-19 | 京东城市(北京)数字科技有限公司 | Objective classification method, device and computer readable storage medium |
| WO2020010570A1 (en) * | 2018-07-12 | 2020-01-16 | 深圳齐心集团股份有限公司 | Big data automatic analysis system based on consumer habits |
| CN110807151A (en) * | 2019-10-24 | 2020-02-18 | 中燃慧生活电子商务有限公司 | Gas label push system |
| CN110968682A (en) * | 2019-11-29 | 2020-04-07 | 北京达佳互联信息技术有限公司 | Comment information publishing method, device, client, server and system |
| CN111310035A (en) * | 2020-02-03 | 2020-06-19 | 浙江连信科技有限公司 | Recommendation method and device based on psychological and behavioral characteristics |
| CN111370118A (en) * | 2020-05-28 | 2020-07-03 | 杭州睿杰信息技术有限公司 | Diagnosis and treatment safety analysis method and device for cross-medical institution and computer equipment |
| CN111382266A (en) * | 2018-12-28 | 2020-07-07 | 沈阳美行科技有限公司 | User portrait generation method, device and equipment |
| CN111898031A (en) * | 2020-08-14 | 2020-11-06 | 腾讯科技（深圳）有限公司 | Method and device for obtaining user portrait |
| CN112270605A (en) * | 2020-10-30 | 2021-01-26 | 海腾保险代理有限公司 | Information processing method and device for insurance business |
| CN112396536A (en) * | 2019-08-12 | 2021-02-23 | 北京国双科技有限公司 | Method and device for realizing intelligent service |
| CN112433655A (en) * | 2020-12-04 | 2021-03-02 | 崔秀芬 | Information flow interaction processing method based on cloud computing and cloud computing verification interaction center |
| CN112733008A (en) * | 2019-10-28 | 2021-04-30 | 浙江大搜车软件技术有限公司 | Label value generation method and device, electronic equipment and storage medium |
| CN114880535A (en) * | 2022-06-09 | 2022-08-09 | 昕新讯飞科技(北京)有限公司 | User portrait generation method based on communication big data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008094712A2 (en) * | 2007-02-01 | 2008-08-07 | 7 Billion People | Dynamic reconfiguration of web pages based on user behavioral portrait |
| CN103778555A (en) * | 2014-01-21 | 2014-05-07 | 北京集奥聚合科技有限公司 | User attribute mining method and system based on user tags |
| CN105005587A (en) * | 2015-06-26 | 2015-10-28 | 深圳市腾讯计算机系统有限公司 | User portrait updating method, apparatus and system |
| CN105574159A (en) * | 2015-12-16 | 2016-05-11 | 浙江汉鼎宇佑金融服务有限公司 | Big data-based user portrayal establishing method and user portrayal management system |
| CN105893407A (en) * | 2015-11-12 | 2016-08-24 | 乐视云计算有限公司 | Individual user portraying method and system |
-
2016
- 2016-12-29 CN CN201611270534.1A patent/CN108268547A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008094712A2 (en) * | 2007-02-01 | 2008-08-07 | 7 Billion People | Dynamic reconfiguration of web pages based on user behavioral portrait |
| CN103778555A (en) * | 2014-01-21 | 2014-05-07 | 北京集奥聚合科技有限公司 | User attribute mining method and system based on user tags |
| CN105005587A (en) * | 2015-06-26 | 2015-10-28 | 深圳市腾讯计算机系统有限公司 | User portrait updating method, apparatus and system |
| CN105893407A (en) * | 2015-11-12 | 2016-08-24 | 乐视云计算有限公司 | Individual user portraying method and system |
| CN105574159A (en) * | 2015-12-16 | 2016-05-11 | 浙江汉鼎宇佑金融服务有限公司 | Big data-based user portrayal establishing method and user portrayal management system |
Cited By (32)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020010570A1 (en) * | 2018-07-12 | 2020-01-16 | 深圳齐心集团股份有限公司 | Big data automatic analysis system based on consumer habits |
| CN109213802B (en) * | 2018-08-16 | 2020-12-22 | 北京百度网讯科技有限公司 | User portrait construction method and device, terminal and computer readable storage medium |
| CN109213802A (en) * | 2018-08-16 | 2019-01-15 | 北京百度网讯科技有限公司 | User's portrait construction method, device, terminal and computer readable storage medium |
| CN110019916A (en) * | 2018-08-17 | 2019-07-16 | 平安普惠企业管理有限公司 | Event-handling method, device, equipment and storage medium based on user's portrait |
| CN109684364A (en) * | 2018-08-21 | 2019-04-26 | 平安普惠企业管理有限公司 | The problem of being drawn a portrait based on user processing method, device, equipment and storage medium |
| CN109684364B (en) * | 2018-08-21 | 2024-04-19 | 深圳市与米数字科技有限公司 | User portrait-based problem processing method, device, equipment and storage medium |
| CN109375913B (en) * | 2018-09-11 | 2022-04-08 | 中铁程科技有限责任公司 | Data processing method and device |
| CN109375913A (en) * | 2018-09-11 | 2019-02-22 | 中铁程科技有限责任公司 | Data processing method and device |
| CN109284932B (en) * | 2018-10-08 | 2020-08-04 | 杭州飞弛网络科技有限公司 | Stranger social user evaluation method and system based on big data |
| CN109284932A (en) * | 2018-10-08 | 2019-01-29 | 杭州飞弛网络科技有限公司 | A kind of stranger's social activity user's evaluation method and system based on big data |
| CN110009438A (en) * | 2018-11-07 | 2019-07-12 | 爱保科技（横琴）有限公司 | Information processing method and device based on car owner's community |
| CN109583961A (en) * | 2018-12-04 | 2019-04-05 | 北京唐冠天朗科技开发有限公司 | A kind of method and system of identity-based identification information matching information on services |
| CN109636235A (en) * | 2018-12-26 | 2019-04-16 | 北京汽车研究总院有限公司 | The determination method and processing system of driving behavior portrait model |
| CN111382266A (en) * | 2018-12-28 | 2020-07-07 | 沈阳美行科技有限公司 | User portrait generation method, device and equipment |
| CN109933698A (en) * | 2019-02-27 | 2019-06-25 | 腾讯科技（深圳）有限公司 | A kind of the source method of calibration and device of user's portrait |
| CN109933698B (en) * | 2019-02-27 | 2021-06-08 | 腾讯科技（深圳）有限公司 | User portrait source verification method and device |
| CN110009401A (en) * | 2019-03-18 | 2019-07-12 | 康美药业股份有限公司 | Advertisement placement method, device and storage medium based on user's portrait |
| CN110263126A (en) * | 2019-06-20 | 2019-09-20 | 维沃移动通信有限公司 | A kind of generation method and mobile terminal of user's portrait |
| CN110390563A (en) * | 2019-07-17 | 2019-10-29 | 世纪龙信息网络有限责任公司 | Quantization method, device, computer equipment and the storage medium of user's value |
| CN110472680A (en) * | 2019-08-08 | 2019-11-19 | 京东城市(北京)数字科技有限公司 | Objective classification method, device and computer readable storage medium |
| CN112396536A (en) * | 2019-08-12 | 2021-02-23 | 北京国双科技有限公司 | Method and device for realizing intelligent service |
| CN110807151A (en) * | 2019-10-24 | 2020-02-18 | 中燃慧生活电子商务有限公司 | Gas label push system |
| CN112733008A (en) * | 2019-10-28 | 2021-04-30 | 浙江大搜车软件技术有限公司 | Label value generation method and device, electronic equipment and storage medium |
| CN110968682A (en) * | 2019-11-29 | 2020-04-07 | 北京达佳互联信息技术有限公司 | Comment information publishing method, device, client, server and system |
| CN111310035A (en) * | 2020-02-03 | 2020-06-19 | 浙江连信科技有限公司 | Recommendation method and device based on psychological and behavioral characteristics |
| CN111370118A (en) * | 2020-05-28 | 2020-07-03 | 杭州睿杰信息技术有限公司 | Diagnosis and treatment safety analysis method and device for cross-medical institution and computer equipment |
| CN111898031A (en) * | 2020-08-14 | 2020-11-06 | 腾讯科技（深圳）有限公司 | Method and device for obtaining user portrait |
| CN111898031B (en) * | 2020-08-14 | 2024-04-05 | 腾讯科技（深圳）有限公司 | Method and device for obtaining user portrait |
| CN112270605A (en) * | 2020-10-30 | 2021-01-26 | 海腾保险代理有限公司 | Information processing method and device for insurance business |
| CN112433655A (en) * | 2020-12-04 | 2021-03-02 | 崔秀芬 | Information flow interaction processing method based on cloud computing and cloud computing verification interaction center |
| CN112433655B (en) * | 2020-12-04 | 2021-09-07 | 武汉迈异信息科技有限公司 | Information flow interaction processing method based on cloud computing and cloud computing verification interaction center |
| CN114880535A (en) * | 2022-06-09 | 2022-08-09 | 昕新讯飞科技(北京)有限公司 | User portrait generation method based on communication big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108268547A (en) | User's portrait generation method and device | |
| Kotler | Marketing management | |
| Parkin | Digital marketing: Strategies for online success | |
| US7783617B2 (en) | Personals advertisement affinities in a networked computer system | |
| Burgess et al. | To what extent are regional tourism organisations (RTOs) in Australia leveraging the benefits of web technology for destination marketing and eCommerce? | |
| US7631032B1 (en) | Personalized internet interaction by adapting a page format to a user record | |
| CN106803190A (en) | A kind of ad personalization supplying system and method | |
| US20060143083A1 (en) | System and method for providing electronic information relating to printed advertisements | |
| CN110633373A (en) | Automobile public opinion analysis method based on knowledge graph and deep learning | |
| CN104077290B (en) | A kind of method and apparatus for generating promoted account | |
| CN106688215A (en) | Automated click type selection for content performance optimization | |
| CN111652648A (en) | Method for intelligently generating personalized combined promotion scheme and system with same | |
| CN105005876A (en) | Client behavior acquiring and analyzing system and the using method | |
| CN106844372A (en) | A kind of logistics information querying method and device | |
| CN104463685A (en) | Social media system | |
| Noam | Managing media and digital organizations | |
| CN102111905A (en) | Method for controlling advertisement information released in editable form of mobile terminal | |
| CN107205042A (en) | A kind of accurate information method for pushing and system | |
| CN109903076A (en) | A kind of ad data generation method, system, electronic equipment and storage medium | |
| KR20020059212A (en) | Method on providing advertisement contents and compensation | |
| Woldarsky et al. | Development of a best practice manual in wine tourism in Portugal | |
| CN111680482A (en) | Title image-text generation method and computing device | |
| KR20160134836A (en) | Method of and system for creating and managing a combined advertisement using a mobile device | |
| Wojdynski | Native advertising | |
| US20100153867A1 (en) | Method and system for social networking, advertisement, distributing consumer behavior tracking devices, and harvesting consumer behavior data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 100083 No. 401, 4th Floor, Haitai Building, 229 North Fourth Ring Road, Haidian District, Beijing Applicant after: Beijing Guoshuang Technology Co.,Ltd. Address before: 100086 Cuigong Hotel, 76 Zhichun Road, Shuangyushu District, Haidian District, Beijing Applicant before: Beijing Guoshuang Technology Co.,Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180710 |