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CN110442794A - A kind of construction method of analyst's portrait system - Google Patents

A kind of construction method of analyst's portrait system Download PDF

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Publication number
CN110442794A
CN110442794A CN201910740963.8A CN201910740963A CN110442794A CN 110442794 A CN110442794 A CN 110442794A CN 201910740963 A CN201910740963 A CN 201910740963A CN 110442794 A CN110442794 A CN 110442794A
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analyst
user
portrait
stock
information
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CN110442794B (en
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曾庆荣
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Shanghai Shilang Artificial Intelligence Technology Co Ltd
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Shanghai Shilang Artificial Intelligence Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06Asset management; Financial planning or analysis

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  • Business, Economics & Management (AREA)
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  • General Business, Economics & Management (AREA)
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  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a kind of construction methods of analyst portrait system comprising the steps of: A, analyst and user base information obtain, and stock basic information generates;B, analyst and user behavior data acquisition;C, creation analysis teacher Figure Characteristics;D, analyst's Figure Characteristics are provided to obtain interface and show interface;Analyst established by the present invention draws a portrait system image succinctly and rich in specific aim, visual analyst's data displaying can be provided for platform, while providing the decision support of data plane to the management of analyst for system.Platform can be open for user by partial analysis's teacher Figure Characteristics, match user autonomous the Figure Characteristics of analyst can with own actual situation, specific analyst is easily and accurately paid close attention to, acquisition grinds report to oneself value maximization, can effectively promote the content of platform consumption experience of user.

Description

A kind of construction method of analyst's portrait system
Technical field
The present invention relates to technical field of electronic commerce, the construction method of specifically a kind of analyst's portrait system.
Background technique
With the fast development of e-commerce, more and more users' selection searches stock information in equity investment platform, The stock analysis of analyst, the information such as industry analysis.All kinds of securities analysts on investment platform are various, and user would generally basis Oneself interested stock, industry sector, subject matter, investment style etc. select to pay close attention to those analysts.
However, usually there is gender, age, interested stock, industry or even investment style in the follower of same analyst Etc. difference, the attention rate of the analyst of user institute reference the speech delivered and grinds report content, number of reviews or comment Content can not accurately judge that the analyst grinds report content if appropriate for oneself, and largely, comment on content as above-mentioned Difference and exist largely without reference to the content of value, while flooding some valuable information, it is a large amount of to consume user in this way While energy, user is also made to have missed the investment analysis for being suitble to oneself.In addition, existing analyst is generally characterized by by backstage Staff according to analyst understanding and the subjective factors such as working experience added manually, or analysis is only set out The attention rate of teacher, liveness, some main parameters such as place securities broker company.The mode of above-mentioned backstage addition analyst's feature has There are subjectivity and stationarity, and cumbersome, the analyst's feature added in this way can not make user quick and precisely The understanding analyst if appropriate for oneself.
In short, analyst provided by existing equity investment platform, investment style and characteristic information be unable to satisfy use Family rapidly and accurately selects the demand of suitable analysis teacher, be easy to cause investing tip to obtain experience bad.
Summary of the invention
The purpose of the present invention is to provide a kind of construction methods of analyst portrait system, to solve in above-mentioned background technique The problem of proposition.
To achieve the above object, the invention provides the following technical scheme:
A kind of construction method of analyst's portrait system comprising the steps of:
A, analyst and user base information obtain, and stock basic information generates;
B, analyst and user behavior data acquisition;
C, creation analysis teacher Figure Characteristics;
D, analyst's Figure Characteristics are provided to obtain interface and show interface.
As further technical solution of the present invention: the step A is specifically: obtaining analyst basis from platform database Information constitutes analyst's foundation characteristic;User base information is obtained, stock correlation essential information is constructed, is subsequent Figure Characteristics Basic data is provided.
As further technical solution of the present invention: the step A comprises the steps of: 1) acquisition analyst's data, such as Analyst's entire period of actual operation, place securities broker company, age, gender, the personal information such as educational background constitute analyst's foundation characteristic;2) it obtains Take registration user information, such as age of user, the personal information such as gender, for calculating analyst's high dimensional feature;3) stock base is constructed Plinth information, including stock name, coding, affiliated industry, plate, concept etc., for assisting completion analyst to grind report, speech is commented By etc. data information extraction and feature construction.
As further technical solution of the present invention: analyst's behavioral data includes: that history is ground report and speech while being obtained Every is ground report and the user of each speech browses record, review record and thumbs up record.
As further technical solution of the present invention: user behavior data includes the analyst of concern and plate, search, clear Look at, comment on and thumb up historical record.
As further technical solution of the present invention: the step C is specifically: using the analyst and user got Behavioral data carries out user characteristics and extracts and analyst's feature extraction in conjunction with stock industry basic information.
As further technical solution of the present invention: the step C is comprised the steps of: to analyst and user behavior number According to using statistical method, the time attribute of analyst, renewal frequency being calculated, on-line time seeks advice from index, according to analysis The popularity of analyst is calculated, using certainly in the collection of Shi Wenzhang, comment, the concern number of the data and analyst such as browsing Right language processing techniques extraction and analysis Shi Yan respond with and speech in stock, plate, suggestion for operation etc. constructs the plate of analyst Block's attribute, length line attribute, personal share are attributes preferred.
As further technical solution of the present invention: the step D is specifically: the analyst established in step C is drawn It as feature deposit database, and is regularly updated, provides branch by application interface for the display module and decision-making module of platform It holds.
As further technical solution of the present invention: the application interface is specially to show connecing for Figure Characteristics to user Mouth, platform or APP internal work personnel are used to obtain the internal system application interface of Figure Characteristics.
Compared with prior art, the system image letter the beneficial effects of the present invention are: analyst established by the present invention draws a portrait It is clean and rich in specific aim, visual analyst's data can be provided for platform and shown, while the management of analyst is mentioned for system For the decision support of data plane.Platform can be open for user by partial analysis's teacher Figure Characteristics, divide user can independently will The Figure Characteristics of analysis teacher are matched with own actual situation, easily and accurately pay close attention to specific analyst, are obtained to oneself valence Value maximumlly grinds report, can effectively promote the content of platform consumption experience of user.Comprehensive analyst's portrait system, can also Data support is provided for the precision marketing and personalized recommendation of system, operation personnel can be used specific Figure Characteristics, filter out Analyst and report is ground, using prompting message or other way, recommends user.
Detailed description of the invention
Fig. 1 is the implementation steps flow diagram of this discovery.
Fig. 2 is the schematic diagram of data obtaining module.
Fig. 3 is characterized the schematic diagram of computing module.
Fig. 4 is the schematic diagram of application module.
In figure: 01- information " point ", 02- positioning target spot, the direction 03- target spot, 04- it is virtual indicate graphical dots with number 1-5 The line number of battle array, 05- it is virtual indicate the equidistant positioning network table of the row number of graphic dot matrix, 06- virtually with letter A-R.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
Embodiment 1: Fig. 1-4, a kind of construction method of analyst's portrait system are please referred to comprising the steps of:
A, analyst and user base information obtain, and stock basic information generates;Analyst basis is obtained from platform database Information constitutes analyst's foundation characteristic;User base information is obtained, stock correlation essential information is constructed, is subsequent Figure Characteristics There is provided basic data: detailed process is as follows: 1) analyst's data is obtained, such as analyst's entire period of actual operation, place securities broker company, year Age, gender, the personal information such as educational background constitute analyst's foundation characteristic;2) registration user information, such as age of user, gender are obtained Etc. personal information, for calculating analyst's high dimensional feature;3) stock basic information, including stock name, coding, affiliated row are constructed Industry, plate, concept etc., for assisting completion analyst to grind report, speech, the information extraction and feature construction of the data such as comment;
B, analyst and user behavior data acquisition;Collect and obtain the behavioral data of analyst, comprising: history grinds report and speech By, while every user's browsing record for grinding report and each speech is obtained, review record thumbs up record etc., collects and obtain use The behavioral data at family, analyst and plate and user behavior data including concern browse, comment is thumbed up etc. and to be gone through as searched for Records of the Historian record;
C, creation analysis teacher Figure Characteristics;Using the analyst and user behavior data got, in conjunction with stock industry basis Information carries out user characteristics and extracts and analyst's feature extraction;Process is as follows: to analyst and user behavior data, using system Meter method, is calculated the time attribute of analyst, renewal frequency, and on-line time seeks advice from index, according to the receipts of analyst's article Hiding, comment, the concern number of the data and analyst such as browsing are calculated the popularity of analyst, use natural language processing Technology extraction and analysis Shi Yan respond with and speech in stock, plate, suggestion for operation etc. constructs the plate attribute of analyst, long Short-term attribute, personal share are attributes preferred;
D, analyst's Figure Characteristics are provided to obtain interface and show interface: the analyst's Figure Characteristics established in step C are deposited Enter database, and regularly updated, provides support by application interface for the display module and decision-making module of platform.Using connecing Mouth is specially to show that interface, platform or the APP internal work personnel of Figure Characteristics are to user for obtain Figure Characteristics System internal applications interface.
Embodiment 2: on the basis of embodiment 1, the portrait system of analyst used in the design is divided into three modules: letter Breath obtains, feature calculation and application module.
Step 101, stock basic information is collected.
Stock relevant information in the present embodiment includes stock name, stock nickname, stock code, the industry where stock Plate, concept etc., the information extraction for grinding report and speech for post analysis teacher use.
Step 102, user base information and analyst's basic information are obtained.
In the present embodiment, the basic information of user mainly includes age, gender, occupation, educational background etc..
The basic information of analyst, including age, the entire period of actual operation, affiliated company, gender.
Step 103, user's history behavior and analyst's historical behavior are obtained.
In the present embodiment, user's history behavior includes the analyst of user's concern, and search, is browsed, and comment thumbs up Equal historical records.
The historical behavior of analyst includes that the history of analyst grinds report and speech, while obtaining every and grinding report and each speech User's pageview, comment on number, thumb up number.
Step 201, the relevant investing in intellectual of construction stock, designs equity investment behavior label, for grinding report from analyst With study analyst's feature in speech.
Equity investment behavior label in the present embodiment, i.e. the investment operation suggestion of analyst, the label combination stock are real Example and time calculate analyst for the later period and invest correlated characteristic.
Step 202, analyst's statistical nature calculates, and measurement period is three months.
To the information that preceding step obtains, using statistical method, such as count, mean value, mode, intermediate value, the modes such as normalization into Row working process obtains the statistical nature of analyst.
In the present embodiment, the statistical nature of analyst includes following dimension: time attribute, popularity, and stock is inclined It is good, industrial preference, degree of recognition, professional degree, Cheng Changdu, liveness etc..
The time attribute of analyst is also known as attribute in the morning, afternoon and evening, and there are four dimensions for the attribute: it is early, in, afternoon, at night.System Count analyst's value of the accounting of the number of operations within this four periods and overall operation number for respective dimensions respectively, behaviour It include delivering and grinding report, state one's views as number, the reply to comment and message.
The online interval of analyst: statistical analysis teacher twice between behavior time interval average value, wherein small half When in behavior, be considered as with a behavior.
The nearest on-line time of analyst: behavior is apart from present number of days on analyst's the last time line.
The liveness of analyst: the liveness includes grinding report liveness and speech liveness, and liveness calculation is should Analyst delivers the Mean Time Between Replacement for grinding report or speech in measurement period, wherein grind respond with day be unit, and speech with Hour is unit.
The popularity of analyst: calculate the concern the analyst user volume.
The stock preference of analyst: from grinding in report and speech for analyst, the knowledge obtained using step 101 extracts stock Ticket information, the referred number of every stock of statistics account for the ratio that overall stock mentions number, take top5, and take accounting value.
The plate preference of analyst: from grinding in report and speech for analyst, the knowledge obtained using step 101 extracts plate Block message counts the referred number of each plate and accounts for the ratio that all plates mention number, takes top5, and take accounting value.
Step 203, it using natural language processing technique and machine learning techniques, is closed in advance from grind report and the speech of analyst The abstract characteristics of analyst are calculated in key information.
In the present embodiment, the abstract characteristics of analyst include the long short-term preference of analyst, and subject matter preference invests year Age, gold medal attribute:
The investment preference of user, this feature tends to provide Value investment suggestion for phenetic analysis teacher or subject matter investment is built View, extraction and analysis teacher grind the stock mentioned in report and speech, calculate the value stock accounting that analyst recommends.
In the present embodiment, Baima stock is considered Value investment, is otherwise subject matter investment.
The long short-term preference of analyst: using natural language processing technique, the upper short-term model of building, identify every grind report with In speech, operation of the analyst to equity investment suggestion, and the frequency of variation is counted, it is by the dealing Operation Definition in one week Short-term was defined as middle line within one week or more January, and the longer time is then defined as long line, then counts every generic operation quantity The ratio for accounting for total quantity, the value of three dimensions can be obtained.
The calculation of the investment age characteristics of analyst is as follows:
1. the number (for example, 20 years old x people, 21 years old y people etc.) that the user for counting all has age records belongs to each age
2. the user that statistics pays close attention to the has age record of a certain analyst belong to each age bracket number (for example, 20 years old p people, 21 years old q people etc.)
3. being punished purchase age distribution in b) (for example, 20 years old p/x people, 21 years old q/ with original age distribution in 1) Y people)
The age corresponding to maximum value is the investment age of the analyst in 4.3 result
In the present embodiment, the gold medal attribute calculating process of analyst is as follows:
1. calculating ability to make profits: purchased number
2. accuracy in computation: statistics changes the stock that analyst recommends in history and is recommending the ups and downs accounting in following a period of time, Time range belongs to long line, middle line or short-term depending on this suggestion for investment.
3. calculating rare degree: counting the stock that each analyst recommends, recommended bulk analysis's teacher number, takes all push away in the recent period Recommend the mean value of number.
Linear normalization processing is carried out to three above feature (ability to make profits, accuracy, rare degree), both maps to [0 1] section
It gives each feature-set one weight (being all 1 at present), and obtains new characteristic value f1, f2, f3.
It is calculated using TOPSIS method and is based on f1, the gold medal attribute value of the analyst of f2, f3
In the present embodiment, in order to allow portrait system accurately to capture the variation of analyst's portrait dimension, system update portrait The time of system is once a day.
In the present embodiment, after the completion of analyst calculates, interface support can be provided for system other application module.Here Include mainly three classes application, be back-stage management interface respectively, interface and platform is precisely recommended to show interface.
Step 301, backstage is shown and analyst's maintenance interface module uses the Figure Characteristics of analyst, is point on backstage Analysis Shi Guanli and analysis are provided decision support, and can be provided upper undercarriage suggestion of the platform about analyst, can also are analyst Price is provided and grinds the publications suggestions such as report.
Step 302, the Figure Characteristics of analyst are used in precision marketing system and gold medal analyst's screening system.
The Figure Characteristics that the embodiment of the present invention is established, image is succinct and rich in specific aim, and operation personnel can be by Figure Characteristics It is matched with user data, easily and accurately select suitable analyst and grinds report, be pushed to user, use can be obviously improved The multiple purchase rate at family.
By the gold medal attribute of analyst, gold medal analyst can be selected, marketing is carried out for platform and recommendation activity mentions For supporting.
Step 303, using the specific Figure Characteristics of analyst, analyst was screened, was shown in specific region, The personalized recommendation of realization system.
The exhibition strategy that equity investment platform can be set according to disparate modules, the analyst established using the embodiment of the present invention Figure Characteristics, and the preference of user is combined, analyst's Candidate Set is selected, user is showed on platform, realizes of analyst Propertyization is recommended.
Above-described embodiment be this method be directed to equity investment Platform Analysis teacher portrait example, the method for the invention, no It is confined to analyst's portrait building, is equally applicable to the scenes such as the building of investment platform user portrait.
Analyst's gold medal attribute, use three foundation characteristics of analyst: ability to make profits, accuracy, rare degree will be each Feature weight is set as 1.0, is calculated using TOPSIS method, here it is contemplated that being drawn a portrait using more analysts basic special Sign, to obtain the gold medal analyst's feature for meeting platform strategy, the selection of foundation characteristic number here and their weight Setting, does not influence the claim of this patent.
In application module, each application according to itself demand, in selection analysis teacher's Figure Characteristics some or it is several A, to disparate modules, the feature of selection is different, may will affect the effect of respective modules, but do not exert a decisive influence, Therefore, in application module, the selection of analyst's Figure Characteristics does not influence the claim of this patent.
In application module, the portrait system of analyst can be analyst's management system, and precision marketing system is personalized Recommender system etc. provides data supporting, can also provide for platform more multimode, and the module of application is more, analyst's portrait system It is worth the range bigger, analyst's portrait system is applied here, does not influence the claim of this patent.
In the stock preference and plate preference profiles of analyst, the stock and plate that we choose top5 carry out phenetic analysis teacher Corresponding preference, the number for choosing TOP is different, can expression to the preference profiles of analyst and subsequent applications module have centainly Influence, but there is no conclusive influences on the two features, and therefore, the difference of top several selections does not influence this patent Claim.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art The other embodiments being understood that.

Claims (9)

  1. The construction method of system 1. a kind of analyst draws a portrait, which is characterized in that comprise the steps of:
    A, analyst and user base information obtain, and stock basic information generates;
    B, analyst and user behavior data acquisition;
    C, creation analysis teacher Figure Characteristics;
    D, analyst's Figure Characteristics are provided to obtain interface and show interface.
  2. The construction method of system 2. a kind of analyst according to claim 1 draws a portrait, which is characterized in that the step A tool Body is: obtaining analyst's basic information from platform database, constitutes analyst's foundation characteristic;Obtain user base information, construction Stock correlation essential information provides basic data for subsequent Figure Characteristics.
  3. The construction method of system 3. a kind of analyst according to claim 1 draws a portrait, which is characterized in that the step A packet Containing following steps: 1) analyst's data are obtained, such as analyst's entire period of actual operation, place securities broker company, age, gender, educational background etc. People's information constitutes analyst's foundation characteristic;2) registration user information, such as age of user, the personal information such as gender, based on are obtained Calculate analyst's high dimensional feature;3) stock basic information, including stock name, coding, affiliated industry, plate, concept etc., use are constructed Analyst, which is completed, in assistance grinds report, speech, the information extraction and feature construction of the data such as comment.
  4. The construction method of system 4. a kind of analyst according to claim 1 draws a portrait, which is characterized in that analyst's behavior number According to including: that history grinds report and speech while obtaining the user that every is ground report and each speech and browses record, review record and thumbs up Record.
  5. The construction method of system 5. a kind of analyst according to claim 1 draws a portrait, which is characterized in that user behavior data Analyst and plate, search including concern, comment on and thumb up historical record at browsing.
  6. The construction method of system 6. a kind of analyst according to claim 1 draws a portrait, which is characterized in that the step C tool Body is: carrying out user characteristics extraction in conjunction with stock industry basic information using the analyst and user behavior data got With analyst's feature extraction.
  7. The construction method of system 7. a kind of analyst according to claim 1 draws a portrait, which is characterized in that the step C packet Containing following steps: the time attribute of analyst is calculated using statistical method to analyst and user behavior data, updates Frequency, on-line time seek advice from index, according to the collection of analyst's article, comment, the concern people of the data and analyst such as browsing Number, the popularity of analyst is calculated, using natural language processing technique extraction and analysis Shi Yan respond with and speech in stock, Plate, suggestion for operation etc. construct the plate attribute of analyst, length line attribute, and personal share is attributes preferred.
  8. The construction method of system 8. a kind of analyst according to claim 1 draws a portrait, which is characterized in that the step D tool Body is: the analyst's Figure Characteristics established in step C being stored in database, and are regularly updated, are by application interface The display module and decision-making module of platform provide support.
  9. The construction method of system 9. a kind of analyst according to claim 8 draws a portrait, which is characterized in that the application interface The system of interface, platform or the APP internal work personnel of Figure Characteristics for obtaining Figure Characteristics is specially shown to user Internal applications interface.
CN201910740963.8A 2019-08-12 2019-08-12 Construction method of analyst portrait system Expired - Fee Related CN110442794B (en)

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