CN108427695A - Method and application server are recommended by enterprise - Google Patents
Method and application server are recommended by enterprise Download PDFInfo
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- CN108427695A CN108427695A CN201710658113.4A CN201710658113A CN108427695A CN 108427695 A CN108427695 A CN 108427695A CN 201710658113 A CN201710658113 A CN 201710658113A CN 108427695 A CN108427695 A CN 108427695A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
The invention discloses a kind of application server, including memory, processor and it is stored in the enterprise's recommended program that can be run on the memory and on the processor, enterprise's recommended program realizes following steps when being executed by the processor：Pre-establish situation profile；According to the situation profile, each enterprise's relation between supply and demand matching list is established；Obtain the demand information of Target Enterprise；And matching enterprise is recommended for the Target Enterprise according to the demand information and enterprise's relation between supply and demand matching list.The present invention also provides a kind of enterprises to recommend method.Application server provided by the invention and enterprise recommend method to be capable of the demand information of active obtaining enterprise, and recommend matching enterprise according to the demand information of the enterprise for the enterprise.
Description
Technical field
The present invention relates to fields of communication technology more particularly to a kind of enterprise to recommend method and application server.
Background technology
With the rise of internet+new industry situation of this development, the efficient cooperation between enterprise and enterprise seems more and more heavier
It wants.Cooperate all to show slightly extensive tradition on the precision either still cooperated from efficiency between enterprise at present.The basic letter of enterprise
The information such as breath, working group, the service of goods of offer, competitiveness, credit situation, trade trend, Market News, potential customers lack
A kind of weary efficient accurately method for inquiring and matching.The various realizations of the prior art are traditional Internet technology mostly, to rely on
The unidirectional active search inquiry of user.
Invention content
In view of this, the present invention proposes that method and application server are recommended by a kind of enterprise, it is capable of the need of active obtaining enterprise
Information is sought, and is that matching enterprise is recommended by the enterprise according to the demand information of the enterprise.
First, to achieve the above object, the present invention proposes that a kind of application server, the application server include storage
Device, processor and it is stored in the enterprise's recommended program that can be run on the memory and on the processor, the enterprise pushes away
It recommends when program is executed by the processor and realizes following steps：
Pre-establish situation profile；
According to the situation profile, each enterprise's relation between supply and demand matching list is established；
Obtain the demand information of Target Enterprise；And
It is that the Target Enterprise recommends matching enterprise according to the demand information and enterprise's relation between supply and demand matching list.
Optionally, it described the step of pre-establishing situation profile, specifically includes：
Extract enterprise's keyword；
And calculate the weighted value of each keyword；
The weighted value is ranked up；
The weighted value after sequence is selected according to preset range, and
Using the corresponding keyword of the weighted value selected as enterprise's label.
Optionally, the step of demand information for obtaining Target Enterprise, specifically includes：
Record the operation behavior of the user of the Target Enterprise；
Record the frequency of the operation behavior and the information content that the operation behavior is related to corresponding to label description；
And
The demand information of the Target Enterprise is extracted according to the operation behavior and label description.
The step of demand information for obtaining Target Enterprise, further include：
Semantic analysis is carried out according to information, obtains the demand change of Target Enterprise.
Optionally, it described the step of matching enterprise is recommended for the Target Enterprise according to the demand information, specifically includes：
Multiple parameter presets are selected according to the list item of enterprise's relation between supply and demand matching list；
Multiple parameter presets are assigned with different weights；
Calculate matching degree of each enterprise relative to the demand of Target Enterprise；And
It is that the Target Enterprise generates recommendation list according to the calculated value of the matching degree.
In addition, to achieve the above object, the present invention also provides a kind of enterprises, and method, this method to be recommended to be applied to application service
Device, the method includes：
Pre-establish situation profile；
According to the situation profile, each enterprise's relation between supply and demand matching list is established；
Obtain the demand information of Target Enterprise；And
It is that the Target Enterprise recommends matching enterprise according to the demand information and enterprise's relation between supply and demand matching list.
Optionally, it described the step of pre-establishing situation profile, specifically includes：
Extract enterprise's keyword；
And calculate the weighted value of each keyword；
The weighted value is ranked up；
The weighted value after sequence is selected according to preset range, and
Using the corresponding keyword of the weighted value selected as enterprise's label.
Optionally, the step of demand information for obtaining Target Enterprise, specifically includes：
Record the operation behavior of the user of the Target Enterprise；
Record the frequency of the operation behavior and the information content that the operation behavior is related to corresponding to label description；
And
The demand information of the Target Enterprise is extracted according to the operation behavior and label description.
Optionally, it is described obtain Target Enterprise demand information the step of, further include specifically：
Semantic analysis is carried out according to information, obtains the demand change of Target Enterprise.
Optionally, it described the step of matching enterprise is recommended for the Target Enterprise according to the demand information, specifically includes：
Multiple parameter presets are selected according to the list item of enterprise's relation between supply and demand matching list；
Multiple parameter presets are assigned with different weights；
Calculate matching degree of each enterprise relative to the demand of Target Enterprise；And
It is that the Target Enterprise generates recommendation list according to the calculated value of the matching degree.
Further, to achieve the above object, the present invention also provides a kind of computer readable storage medium, the computers
Readable storage medium storing program for executing is stored with enterprise's recommended program, and enterprise's recommended program can be executed by least one processor, so that institute
It states at least one processor and executes the step of recommending method such as above-mentioned enterprise.
Compared to the prior art, method and computer-readable storage are recommended by application server proposed by the invention, enterprise
Medium pre-establishes situation profile first；Then, according to the situation profile, each enterprise's relation between supply and demand matching is established
Table；Then, the demand information of Target Enterprise is obtained；Finally, according to the demand information and enterprise's relation between supply and demand matching list
Recommend matching enterprise for the Target Enterprise.In this way, can both have been devoted a tremendous amount of time to avoid enterprise in the prior art and manpower
Actively search is searched the drawbacks of cooperative enterprise, the demand information of active obtaining Target Enterprise, and according to the demand of the Target Enterprise
Information is that the Target Enterprise recommends matching enterprise.Realize intelligence, efficient enterprise's recommendation service.
Description of the drawings
Fig. 1 is each one optional application environment schematic diagram of embodiment of the present invention；
Fig. 2 is the schematic diagram of one optional hardware structure of application server in Fig. 1；
Fig. 3 is the high-level schematic functional block diagram of enterprise's recommended program first, second, third of the present invention and fourth embodiment；
Fig. 4 is the implementation process diagram that method first embodiment is recommended by enterprise of the present invention；
Fig. 5 is the implementation process diagram that method second embodiment is recommended by enterprise of the present invention；
Fig. 6 is the implementation process diagram that method 3rd embodiment is recommended by enterprise of the present invention；
Fig. 7 is the implementation process diagram that method fourth embodiment is recommended by enterprise of the present invention.
Reference numeral：
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.Based on the embodiments of the present invention, those of ordinary skill in the art are not before making creative work
The every other embodiment obtained is put, shall fall within the protection scope of the present invention.
It should be noted that the description for being related to " first ", " second " etc. in the present invention is used for description purposes only, and cannot
It is interpreted as indicating or implying its relative importance or implicitly indicates the quantity of indicated technical characteristic.Define as a result, " the
One ", the feature of " second " can explicitly or implicitly include at least one of the features.In addition, the skill between each embodiment
Art scheme can be combined with each other, but must can be implemented as basis with those of ordinary skill in the art, when technical solution
Will be understood that the combination of this technical solution is not present in conjunction with there is conflicting or cannot achieve when, also not the present invention claims
Protection domain within.
As shown in fig.1, being each one optional application environment schematic diagram of embodiment of the present invention.
In the present embodiment, present invention can apply to include but are not limited to, mobile terminal 1, application server 2, network
In 3 application environment.Wherein, the mobile terminal 1 can be that mobile phone, smart phone, laptop, digital broadcasting connect
Receive device, PDA (personal digital assistant), PAD (tablet computer), PMP (portable media player), navigation device, vehicle-mounted dress
The movable equipment set etc., and such as number TV, desktop computer, notebook, server etc. fixed terminal.It is described
Application server 2 can be that the calculating such as rack-mount server, blade server, tower server or Cabinet-type server are set
Standby, which can be independent server, can also be the server cluster that multiple servers are formed.It is described
Network 3 can be intranet (Intranet), internet (Internet), global system for mobile communications (Global
System of Mobile communication, GSM), wideband code division multiple access (Wideband Code Division
Multiple Access, WCDMA), 4G networks, 5G networks, bluetooth (Bluetooth), Wi-Fi, speech path network etc. is wireless or has
Gauze network.
Wherein, in the application server 2 by the network 3 respectively with one or more mobile terminals 1 (in figure
Only show one) it communicates to connect, it is respectively mounted and has run corresponding with the application server 2 in each described mobile terminal 1
Application client (hereinafter " mobile terminal client terminal ").The mobile terminal client terminal is for responding mobile terminal
The operation of user creates long connection between the mobile terminal client terminal and the application server 2, so that described mobile whole
End client can be carried out data transmission and be interacted with the application server 2 by the long connection.
In the present embodiment, when being installed in the application server 2 and having run enterprise's recommended program 200, when the enterprise
When industry recommended program 200 is run, the application server 2 pre-establishes situation profile, according to the situation profile, establishes
Each enterprise's relation between supply and demand matching list, after the application server 2 obtains the demand information of Target Enterprise, according to the demand
Information and enterprise's relation between supply and demand matching list are that the Target Enterprise recommends matching enterprise so that 2 energy of the application server
The demand information of enough active obtaining enterprises, and be that matching enterprise is recommended by the enterprise according to the demand information of the enterprise.It realizes
Intelligence, efficient enterprise's recommendation service.
As shown in fig.2, being the schematic diagram of 2 one optional hardware structure of application server in Fig. 1.In the present embodiment, institute
It states application server 2 may include, but is not limited only to, connection memory 11, processor 12, net can be in communication with each other by system bus
Network interface 13.It should be pointed out that Fig. 2 illustrates only the mobile terminal 1 with component 11-13, it should be understood that not
It is required that implement all components shown, the implementation that can be substituted is more or less component.
Wherein, the memory 11 includes at least a type of readable storage medium storing program for executing, and the readable storage medium storing program for executing includes
Flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memories etc.), random access storage device (RAM), it is static with
Machine accesses memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), may be programmed only
Read memory (PROM), magnetic storage, disk, CD etc..In some embodiments, the memory 11 can be described answers
With the hard disk or memory of the internal storage unit of server 2, such as the application server 2.In further embodiments, described to deposit
Reservoir 11 can also be the External memory equipment of the application server 2, such as the plug-in type being equipped on the application server 2 is hard
Disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card
(Flash Card) etc..Certainly, the memory 11 can also both include the internal storage unit of the application server 2 or wrap
Include its External memory equipment.In the present embodiment, the memory 11 is installed on the behaviour of the application server 2 commonly used in storage
Make system and types of applications software, such as the program code etc. of enterprise's recommended program 200.In addition, the memory 11 is also
It can be used for temporarily storing the Various types of data that has exported or will export.
The processor 12 can be in some embodiments central processing unit (Central Processing Unit,
CPU), controller, microcontroller, microprocessor or other data processing chips.The processor 12 is commonly used in answering described in control
It is carried out data interaction with the overall operation of server 2, such as execution with the mobile terminal 1 or is communicated relevant control and place
Reason etc..In the present embodiment, the processor 12 is used to run the program code stored in the memory 11 or processing data,
Such as run enterprise's recommended program 200 etc..
The network interface 13 may include radio network interface or wired network interface, which is commonly used in
Communication connection is established between the application server 2 and other electronic equipments.In the present embodiment, the network interface 13 is mainly used
In the application server 2 is connected with one or more mobile terminals 1 by the network 3, in the application service
Data transmission channel and communication connection are established between device 2 and one or more of mobile terminals 1.
So far, oneself is through describing the hardware configuration and work(of the application environment and relevant device of each embodiment of the present invention in detail
Energy.In the following, above application environment and relevant device will be based on, each embodiment of the present invention is proposed.
First, the present invention proposes a kind of enterprise's recommended program 200.
As shown in fig.3, being the functional block diagram of 200 first embodiment of enterprise's recommended program of the present invention.In the present embodiment,
Enterprise's recommended program 200 can be divided into one or more modules, and one or more of modules are stored in
In the memory 11, and it is performed by one or more processors (being the processor 12 in the present embodiment), to complete this
Invention.For example, in figure 3, the industry recommended program 200 can be divided into first and establish module 201, second establish module
202, acquisition module 203 and recommending module 204.The so-called function module of the present invention is the system for referring to complete specific function
Column count machine program instruction section, than program more suitable for describing 200 the holding in the application server 2 of industry recommended program
Row process.The function of putting up with each function module 201-204 below is described in detail.
Described first establishes module 201, for pre-establishing enterprise characteristic in the database of the application server 2
Table.
Usually, the mode for pre-establishing situation profile can be that administrator is logical on the backstage of the application server 2
Cross database importing.
The mode for pre-establishing situation profile can also be that the first of the application server 2 establishes module 201 and pass through
Domestic News information establishes situation profile.The enterprise information information includes：The title of information, industry type, information content
Deng.
Described second establishes module 202, for according to the situation profile, establishing each enterprise's relation between supply and demand matching
Table.
Specifically, according to the information of the situation profile, the relation between supply and demand matching list of enterprise is established.
In the present embodiment, in order to carry out company information matching faster, can also according to enterprise information information to enterprise into
Row classification, i.e., the described relation between supply and demand matching list further includes the classification of enterprise.Such as：Apparel industry, financial industry are manufactured
Deng.The classification of each enterprise is not limited to only a kind of according to service conditions.For example, A enterprises can belong to simultaneously financial industry and
Electronics industry.For example, enterprise's relation between supply and demand matching list can be following form：
| Enterprise name | Enterprise sort | Supply | Demand | ...... |
| A | Electronics industry/financial industry | Fund is managed money matters | IC elements | |
| B | Financial industry | It offers a loan | ||
| C | Electronics industry | Electronic component supplier | ||
| D | Electronics industry | Electronic components fabrication |
The acquisition module 203, the demand information for obtaining Target Enterprise.Specifically, acquisition module 203 can pass through
Mobile terminal 1 obtains the demand information of Target Enterprise, for example, can pass through the operation and movement of 1 client user of mobile terminal
The information of 1 client of terminal obtains the demand information of Target Enterprise, and specific steps will be described in detail below.
The recommending module 204, for being the mesh according to the demand information and enterprise's relation between supply and demand matching list
It marks enterprise and recommends matching enterprise.
Specifically, recommending module 204 generates recommendation list to the Target Enterprise.
It will be recalled from above that the first of the application server 2 establishes module 201 and pre-establishes situation profile, described
Two establish module 202 according to the situation profile, establish each enterprise's relation between supply and demand matching list, acquisition module 203 obtains mesh
Mark the demand information of enterprise.Recommending module 204 is the mesh according to the demand information and enterprise's relation between supply and demand matching list
It marks enterprise and recommends matching enterprise.In this way, application server 2 is capable of the demand information of active obtaining enterprise, and according to the enterprise
Demand information is that matching enterprise is recommended by the enterprise.Realize intelligence, efficient enterprise's recommendation service.
By above-mentioned function module 201-204, enterprise's recommended program 200 proposed by the invention pre-establishes enterprise first
Secondly industry mark sheet according to the situation profile, establishes each enterprise's relation between supply and demand matching list, then, the application service
Device 2 can obtain the demand information of Target Enterprise according to mobile terminal 1, finally, be supplied according to the demand information and the enterprise
It is that the Target Enterprise recommends matching enterprise to need relationship match table.Enterprise in the prior art is avoided to devote a tremendous amount of time and people
Advocate dynamic the drawbacks of searching for lookup cooperative enterprise, the demand information of active obtaining enterprise, and be according to the demand information of the enterprise
Matching enterprise is recommended by the enterprise.Realize intelligence, efficient enterprise's recommendation service.
Further, the above-mentioned first embodiment based on enterprise's recommended program 200 of the present invention proposes that the second of the present invention is real
Apply example (as shown in Figure 3).In the present embodiment, described first establishes module 201, is additionally operable to：
Extract enterprise's keyword；And calculate the weighted value of each keyword；The weighted value is ranked up；According to default
Range selects the weighted value after sequence, and using the corresponding keyword of the weighted value selected as enterprise's label.
In one embodiment, enterprise's keyword of extraction is by the industry of enterprise, and supply and demand type, time, information are commonly used in city
The compositions such as classification.Extraction enterprise keyword can pass through the portal website of the enterprise of mobile terminal 1, news media, enterprise information
The acquisitions such as activity.In addition, Introduction of enterprises, enterprise's supply and demand resource description, information article information, activity description description information, news
Information can be as the information source of extraction enterprise keyword.
First establishes module 201 assigns different weights to each keyword, and calculates the weighted value of each keyword, together
When, the weighted value is ranked up, and the weighted value after sequence is selected (for example, selection weight according to preset range
It is worth keyword in the top, such as the keyword of front three), finally, using the corresponding keyword of the weighted value selected as enterprise
Label.For example, having by the keyword that the information of mobile terminal 1 obtains A enterprises, " electronics supplier " " needs to finance
10000000 dollars ", " investing new factory ", " IC chip supply ", " employee 10000+ ", " scientific and technological the last 500 ", " amount of the application for patent mistake
Hundred " ... etc., the weight for industry class is 4 points, and the weighted value of relation between supply and demand is 3 points, other are 2 points.Therefore A enterprises are obtained
Keyword ranking is：First place：4 points of " electronics supplier "；Second place：3 points of " needing 10,000,000 dollars of financing "；Second place：“IC
3 points of chip supply "；Fourth：" investing new factory ", " employee 10000+ ", " scientific and technological the last 500 ", " amount of the application for patent crosses hundred and waits other
Keyword ".The first of application server 2 establishes the key that the score ranking keyword of first three can be arranged as A enterprises in module 201
Word, therefore the keyword of A enterprises is " electronics supplier ", " needing 10,000,000 dollars of financing " and " IC chip supply ".It needs
Bright, extraction keyword is not limited to the weight ranking keyword of first three, can be set according to user.
Further, the above-mentioned first embodiment based on enterprise's recommended program 200 of the present invention proposes that the third of the present invention is real
Apply example (as shown in Figure 3).In the present embodiment, the acquisition module 203 is additionally operable to
Record the operation behavior of the user of Target Enterprise；The frequency and the operation behavior for recording the operation behavior relate to
And the information content corresponding to label description；And the target is extracted according to the operation behavior and label description and is looked forward to
The demand information of industry.
In one embodiment, the user of Target Enterprise has following several in the operation behavior of the client of mobile terminal 1：
(1) which browsed enterprise of the user of Target Enterprise, which browsed supply and demand, in which browsed information activity
Hold；
(2) the supply and demand list of user's collection of Target Enterprise/cancellation collection, the Enterprise Lists of concern/cancellation, what personal letter was crossed
User list, the demand information issued.
For input keyword, selection search condition, browsing, collection/cancellation collection, concern/cancellation concern, personal letter, hair
The operation behaviors such as cloth supply and demand, each operation behavior can there are one the frequencys to record, the information content meeting involved in each operation behavior
Corresponding corresponding label description.The demand letter of enterprise where can extracting the user according to these operation behaviors and label description
Breath.
The acquisition module 203 is additionally operable to carry out semantic analysis according to information, obtains the demand change of Target Enterprise.
Further, the information that acquisition module 203 is changed also according to the demand goes change situation profile and enterprise's relation between supply and demand
Matching list.
For example, with social development, many enterprises are also making the transition, then the direction of these enterprises main management may be
Through changing.Therewith, the demand of enterprise can also change.Currently, news media's resource is more, abundant information, about enterprise
The message of transition generally can be all disclosed by news.Application server 2 is analyzed by news sentence semantics, judges enterprise's industry
Business direction change, development plan, and then pass through and high-quality supply and marketing quotient, supplier in industry are provided.
By above example, the acquisition module 203 records the operation behavior of the user of Target Enterprise；Record the behaviour
Make the frequency of behavior and the information content that the operation behavior is related to corresponding to label description；And according to the operation behavior
The demand information of the Target Enterprise is extracted with label description.The acquisition module 203 is carried out also according to information
Semantic analysis obtains the demand change of Target Enterprise.
By above-mentioned function module 203, enterprise's recommended program 200 proposed by the invention can be according to the use of Target Enterprise
The operation behavior at family and the semantic analysis of information, know the demand change of Target Enterprise in time, and then recommend good
The Target Enterprise is given with enterprise.
Further, the above-mentioned first embodiment based on enterprise's recommended program 200 of the present invention proposes that the 4th of the present invention is real
Apply example (as shown in Figure 3).In the present embodiment, the recommending module 204 is additionally operable to：
Multiple parameter presets are selected according to the list item of enterprise's relation between supply and demand matching list；Assign the multiple parameter preset
With different weights；Calculate matching degree of each enterprise relative to the demand of Target Enterprise；And the calculating according to the matching degree
Value is that the Target Enterprise generates recommendation list.
For example, recommending module 204 assigns the industry of enterprise, keyword, the respectively different weighted value such as demand/supply.For
The saving time reduces calculation amount, and can define the Target Enterprise of demand can only select from the enterprise for having supply business, no
With the enterprise for considering there was only demand.
| Enterprise name | Enterprise sort | Supply | Demand | Professional degree |
| A | Electronics industry/financial industry | Fund is managed money matters | IC elements | |
| B | Financial industry | It offers a loan | ||
| C | Electronics industry | Electronic component supplier | It ships and resell on another market | |
| D | Electronics industry | Electronic components fabrication | Manufacture |
For example, the demand when A enterprises is IC elements, B enterprises offer a loan, and C enterprises are electronic component supplier, D enterprises
Industry is electronic components fabrication.According to the demand information of A enterprises, setting parameter preset is " professional degree " and " supply ", is assigned respectively
" professional degree " is 0.6 and 0.4 with " supply " weight, and it is 3 points to ship and resell on another market in " professional degree ", is fabricated to 5 points, other are 1 point；" supply "
Middle supplier is 2 points, and manufacturer is 3 points, other are 1 point.Wherein, the score value that can be calculated A enterprises is 0.6*1+0.4*1=1,
The score value of B enterprises is 0.6*1+0.4*1=1, and the score value of C enterprises is 0.6*3+0.4*2=2.6, and the score value of D enterprises is 0.6*5+
0.4*3=4.2.
Apparently according to the demand information of A enterprises, C can be filtered out, D Liang Jia enterprises generate recommendation tables and give A enterprises.
By above-mentioned function module 204, enterprise's recommended program 200 proposed by the invention, additionally it is possible to according to enterprise's supply and demand
The list item of relationship match table calculates matching degree of each enterprise relative to the demand of Target Enterprise, and according to the matching degree
Size is ordered as the Target Enterprise and generates recommendation list.
In addition, the present invention also proposes that method is recommended by a kind of enterprise.
As shown in fig.4, being the implementation process diagram that method first embodiment is recommended by enterprise of the present invention.In the present embodiment
In, the execution sequence of the step in flow chart shown in Fig. 4 can change according to different requirements, and certain steps can be omitted.
Step S401 pre-establishes situation profile in the database of the application server 2.
Usually, the mode for pre-establishing situation profile can be that administrator is logical on the backstage of the application server 2
Cross database importing.
The mode for pre-establishing situation profile can also be that the application server 2 establishes enterprise by Domestic News information
Industry mark sheet.The enterprise information information includes：The title of information, industry type, information content etc..Specific steps will be in this hair
Bright enterprise recommends the second embodiment of method to be described in detail (refering to Fig. 5).
Step S402 establishes each enterprise's relation between supply and demand matching list according to the situation profile.
Specifically, the application server 2 establishes the relation between supply and demand of enterprise according to the information of the situation profile
Matching list.
In the present embodiment, in order to carry out company information matching faster, can also according to enterprise information information to enterprise into
Row classification, i.e., the described relation between supply and demand matching list further includes the classification of enterprise.Such as：Apparel industry, financial industry are manufactured
Deng.The classification of each enterprise is not limited to only a kind of according to service conditions.For example, A enterprises can belong to simultaneously financial industry and
Electronics industry.For example, enterprise's relation between supply and demand matching list can be following form：
Step S403 obtains the demand information of Target Enterprise.
Specifically, the application server 2 can obtain the demand information of Target Enterprise by mobile terminal 1, for example, can
To obtain the demand of Target Enterprise by the information of 1 client of the operation of 1 client user of mobile terminal and mobile terminal
Information, specific steps will recommend the 3rd embodiment of method to be described in detail (refering to Fig. 6) in enterprise of the present invention.
Step S404 is Target Enterprise recommendation according to the demand information and enterprise's relation between supply and demand matching list
With enterprise.Specifically, the application server 2 generates recommendation list to the Target Enterprise.
It will be recalled from above that the application server 2 pre-establishes situation profile, according to the situation profile, establish
Each enterprise's relation between supply and demand matching list obtains the demand information of Target Enterprise by mobile terminal 1.The application server 2
It is that the Target Enterprise recommends matching enterprise according to the demand information and enterprise's relation between supply and demand matching list.In this way, application clothes
Business device 2 is capable of the demand information of active obtaining enterprise, and is that matching enterprise is recommended by the enterprise according to the demand information of the enterprise.
Realize intelligence, efficient enterprise's recommendation service.
S401-404 through the above steps, enterprise proposed by the invention recommend method to pre-establish enterprise characteristic first
Secondly table according to the situation profile, establishes each enterprise's relation between supply and demand matching list, then, 2 energy of the application server
Enough demand informations that Target Enterprise is obtained according to mobile terminal 1, finally, according to the demand information and enterprise's relation between supply and demand
Matching list is that the Target Enterprise recommends matching enterprise.Enterprise in the prior art is avoided to devote a tremendous amount of time with manpower actively
Search is searched the drawbacks of cooperative enterprise, the demand information of active obtaining enterprise, and is the enterprise according to the demand information of the enterprise
Industry recommends matching enterprise.Realize intelligence, efficient enterprise's recommendation service.
As shown in figure 5, being the implementation process diagram for the second embodiment that method is recommended by enterprise of the present invention.The present embodiment
In, it described the step of pre-establishing situation profile, specifically includes：
Step S501, extraction enterprise keyword.
Step S502 calculates the weighted value of each keyword.
Step S503 is ranked up the weighted value.
Step S504 selects the weighted value after sequence according to preset range.
Step S505, using the corresponding keyword of the weighted value selected as enterprise's label.
In one embodiment, enterprise's keyword of extraction is by the industry of enterprise, and supply and demand type, time, information are commonly used in city
The compositions such as classification.Extraction enterprise keyword can pass through the portal website of the enterprise of mobile terminal 1, news media, enterprise information
The acquisitions such as activity.In addition, Introduction of enterprises, enterprise's supply and demand resource description, information article information, activity description description information, news
Information can be as the information source of extraction enterprise keyword.
The application server 2 assigns different weights to each keyword, and calculates the weighted value of each keyword, together
When, the weighted value is ranked up, and the weighted value after sequence is selected (for example, selection weight according to preset range
It is worth keyword in the top, such as the keyword of front three), finally, using the corresponding keyword of the weighted value selected as enterprise
Label.
For example, having by the keyword that the information of mobile terminal 1 obtains A enterprises, " electronics supplier " " needs to melt
Provide 10,000,000 dollars ", " investing new factory ", " IC chip supply ", " employee 10000+ ", " scientific and technological the last 500 ", " amount of the application for patent mistake
Hundred " ... etc., the weight for industry class is 4 points, and the weighted value of relation between supply and demand is 3 points, other are 2 points.Therefore A enterprises are obtained
Keyword ranking is：First place：4 points of " electronics supplier "；Second place：3 points of " needing 10,000,000 dollars of financing "；Second place：“IC
3 points of chip supply "；Fourth：" investing new factory ", " employee 10000+ ", " scientific and technological the last 500 ", " amount of the application for patent crosses hundred and waits other
Keyword ".The first of application server 2 establishes the key that the score ranking keyword of first three can be arranged as A enterprises in module 201
Word, therefore the keyword of A enterprises is " electronics supplier ", " needing 10,000,000 dollars of financing " and " IC chip supply ".It needs
Bright, extraction keyword is not limited to the weight ranking keyword of first three, can be set according to user.
Method is recommended by S501-S505 through the above steps, enterprise proposed by the invention, can be by according to information
The label for obtaining each enterprise, to establish enterprise characteristic information.
As shown in fig. 6, being the implementation process diagram for the 3rd embodiment that method is recommended by enterprise of the present invention.The present embodiment
In, it is described obtain Target Enterprise demand information the step of, specifically include：
Step S601 records the operation behavior of the user of the Target Enterprise.
Step S602, record the frequency of the operation behavior and the information content that the operation behavior is related to corresponding to
Label describes.
Step S603 extracts the demand information of the Target Enterprise according to the operation behavior and label description.
In one embodiment, the user of Target Enterprise has following several in the operation behavior of the client of mobile terminal 1：
(1) which browsed enterprise of the user of Target Enterprise, which browsed supply and demand, in which browsed information activity
Hold；
(2) the supply and demand list of user's collection of Target Enterprise/cancellation collection, the Enterprise Lists of concern/cancellation, what personal letter was crossed
User list, the demand information issued.
For input keyword, selection search condition, browsing, collection/cancellation collection, concern/cancellation concern, personal letter, hair
The operation behaviors such as cloth supply and demand, each operation behavior can there are one the frequencys to record, the information content meeting involved in each operation behavior
Corresponding corresponding label description.The demand letter of enterprise where can extracting the user according to these operation behaviors and label description
Breath.
In the present embodiment, it is described obtain Target Enterprise demand information the step of, further comprise：
Step S604 carries out semantic analysis according to information, obtains the demand change of Target Enterprise.Further, institute
It states the information that application server 2 is changed also according to the demand and goes change situation profile and enterprise's relation between supply and demand matching list.
For example, with social development, many enterprises are also making the transition, then the direction of these enterprises main management may be
Through changing.Therewith, the demand of enterprise can also change.Currently, news media's resource is more, abundant information, about enterprise
The message of transition generally can be all disclosed by news.Application server 2 is analyzed by news sentence semantics, judges enterprise's industry
Business direction change, development plan, and then pass through and high-quality supply and marketing quotient, supplier in industry are provided.
By above example, the application server 2 records the operation behavior of the user of Target Enterprise；Record the behaviour
Make the frequency of behavior and the information content that the operation behavior is related to corresponding to label description；And according to the operation behavior
The demand information of the Target Enterprise is extracted with label description.The application server 2 is carried out also according to information
Semantic analysis obtains the demand change of Target Enterprise.
Method is recommended by S601-S604 through the above steps, enterprise proposed by the invention, can be according to the use of Target Enterprise
The operation behavior at family and the semantic analysis of information, know the demand change of Target Enterprise in time, and then recommend good
The Target Enterprise is given with enterprise.
As shown in fig. 7, being the implementation process diagram for the fourth embodiment that method is recommended by enterprise of the present invention.The present embodiment
In, it is described according to the step that the demand information and enterprise's relation between supply and demand matching list are Target Enterprise recommendation matching enterprise
Suddenly, it specifically includes：
Step S701 selects multiple parameter presets according to the list item of enterprise's relation between supply and demand matching list.
Step S702 assigns the multiple parameter preset with different weights.
Step S703 calculates matching degree of each enterprise relative to the demand of Target Enterprise.
Step S704 is that the Target Enterprise generates recommendation list according to the calculated value of the matching degree.
For example, the application server 2 assigns the industry of enterprise, keyword, the respectively different weight such as demand/supply
Value.In order to save time, calculation amount is reduced, can define the Target Enterprise of demand can only choose from the enterprise for having supply business
Choosing does not have to the enterprise for considering there was only demand.
| Enterprise name | Enterprise sort | Supply | Demand | Professional degree |
| A | Electronics industry/financial industry | Fund is managed money matters | IC elements | |
| B | Financial industry | It offers a loan | ||
| C | Electronics industry | Electronic component supplier | It ships and resell on another market | |
| D | Electronics industry | Electronic components fabrication | Manufacture |
For example, the demand when A enterprises is IC elements, B enterprises offer a loan, and C enterprises are electronic component supplier, D enterprises
Industry is electronic components fabrication.According to the demand information of A enterprises, setting parameter preset is " professional degree " and " supply ", is assigned respectively
" professional degree " is 0.6 and 0.4 with " supply " weight, and it is 3 points to ship and resell on another market in " professional degree ", is fabricated to 5 points, other are 1 point；" supply "
Middle supplier is 2 points, and manufacturer is 3 points, other are 1 point.Wherein, the score value that can be calculated A enterprises is 0.6*1+0.4*1=1,
The score value of B enterprises is 0.6*1+0.4*1=1, and the score value of C enterprises is 0.6*3+0.4*2=2.6, and the score value of D enterprises is 0.6*5+
0.4*3=4.2.
Apparently according to the demand information of A enterprises, C can be filtered out, D Liang Jia enterprises generate recommendation tables and give A enterprises.
Method is recommended by S701-S704 through the above steps, enterprise proposed by the invention, additionally it is possible to be closed according to enterprise's supply and demand
It is the list item of matching list, calculates matching degree of each enterprise relative to the demand of Target Enterprise, and is institute according to the matching degree
It states Target Enterprise and generates recommendation list.
The embodiments of the present invention are for illustration only, can not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical scheme of the present invention substantially in other words does the prior art
Going out the part of contribution can be expressed in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), including some instructions are used so that a station terminal equipment (can be mobile phone, computer, clothes
Be engaged in device, air conditioner or the network equipment etc.) execute method described in each embodiment of the present invention.
It these are only the preferred embodiment of the present invention, be not intended to limit the scope of the invention, it is every to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. method is recommended by a kind of enterprise, it is applied to application server, which is characterized in that the method includes：
Pre-establish situation profile；
According to the situation profile, each enterprise's relation between supply and demand matching list is established；
Obtain the demand information of Target Enterprise；And
It is that the Target Enterprise recommends matching enterprise according to the demand information and enterprise's relation between supply and demand matching list.
2. method is recommended by enterprise as described in claim 1, which is characterized in that described the step of pre-establishing situation profile,
It specifically includes：
Extract enterprise's keyword；
And calculate the weighted value of each keyword；
The weighted value is ranked up；
The weighted value after sequence is selected according to preset range, and
Using the corresponding keyword of the weighted value selected as enterprise's label.
3. method is recommended by enterprise as described in claim 1, which is characterized in that the step of the demand information for obtaining Target Enterprise
Suddenly, it specifically includes：
Record the operation behavior of the user of the Target Enterprise；
Record the frequency of the operation behavior and the information content that the operation behavior is related to corresponding to label description；And
The demand information of the Target Enterprise is extracted according to the operation behavior and label description.
4. method is recommended by enterprise as claimed in claim 3, which is characterized in that the step of the demand information for obtaining Target Enterprise
Suddenly, further include specifically：
Semantic analysis is carried out according to information, obtains the demand change of the Target Enterprise.
5. method is recommended by enterprise as claimed in claim 3, which is characterized in that described according to the demand information is the target
The step of matching enterprise, is recommended by enterprise, specifically includes：
Multiple parameter presets are selected according to the list item of enterprise's relation between supply and demand matching list；
Multiple parameter presets are assigned with different weights；
Calculate matching degree of each enterprise relative to the demand of Target Enterprise；And
It is that the Target Enterprise generates recommendation list according to the calculated value of the matching degree.
6. a kind of application server, which is characterized in that the application server includes memory, processor and is stored in described deposit
On reservoir and the enterprise's recommended program that can run on the processor, when enterprise's recommended program is executed by the processor
Realize following steps：
Pre-establish situation profile；
According to the situation profile, each enterprise's relation between supply and demand matching list is established；
Obtain the demand information of Target Enterprise；And
It is that the Target Enterprise recommends matching enterprise according to the demand information and enterprise's relation between supply and demand matching list.
7. application server as claimed in claim 6, which is characterized in that described the step of pre-establishing situation profile, tool
Body includes：
Extract enterprise's keyword；
And calculate the weighted value of each keyword；
The weighted value is ranked up；
The weighted value after sequence is selected according to preset range, and
Using the corresponding keyword of the weighted value selected as enterprise's label.
8. application server as claimed in claim 6, which is characterized in that the step of the demand information for obtaining Target Enterprise
Suddenly, it specifically includes：
Record the operation behavior of the user of the Target Enterprise；
Record the frequency of the operation behavior and the information content that the operation behavior is related to corresponding to label description；And
The demand information of the Target Enterprise is extracted according to the operation behavior and label description.
The step of demand information for obtaining Target Enterprise, further include：
Semantic analysis is carried out according to information, obtains the demand change of the Target Enterprise.
9. application server as claimed in claim 6, which is characterized in that described to be looked forward to for the target according to the demand information
Industry recommends the step of matching enterprise, specifically includes：
Multiple parameter presets are selected according to the list item of enterprise's relation between supply and demand matching list；
Multiple parameter presets are assigned with different weights；
Calculate matching degree of each enterprise relative to the demand of Target Enterprise；And
It is that the Target Enterprise generates recommendation list according to the calculated value of the matching degree.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has enterprise's recommended program, the enterprise
Industry recommended program can be executed by least one processor, so that at least one processor is executed as appointed in claim 1-5
The step of method is recommended by enterprise described in one.
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| CN201710658113.4A CN108427695A (en) | 2017-08-04 | 2017-08-04 | Method and application server are recommended by enterprise |
| PCT/CN2018/077656 WO2019024496A1 (en) | 2017-08-04 | 2018-02-28 | Enterprise recommendation method and application server |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710658113.4A CN108427695A (en) | 2017-08-04 | 2017-08-04 | Method and application server are recommended by enterprise |
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| CN109300003A (en) * | 2018-09-17 | 2019-02-01 | 平安科技（深圳）有限公司 | Enterprise's recommended method, device, computer equipment and storage medium |
| CN109359817A (en) * | 2018-09-13 | 2019-02-19 | 江苏站企动网络科技有限公司 | A kind of business information analysis management system |
| CN110377809A (en) * | 2019-06-19 | 2019-10-25 | 深圳壹账通智能科技有限公司 | The resource acquisition qualification generation method and relevant device of pre-set user |
| CN110795471A (en) * | 2019-10-31 | 2020-02-14 | 北京金堤科技有限公司 | Data matching method and device, computer readable storage medium and electronic equipment |
| CN112231466A (en) * | 2020-10-21 | 2021-01-15 | 中国银行股份有限公司 | Enterprise matching method and device in matching activities |
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Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112435051B (en) * | 2020-11-13 | 2023-11-28 | 海创汇科技创业发展股份有限公司 | Acquisition method, electronic equipment, computer readable storage medium and terminal of associated enterprises |
| CN112435052B (en) * | 2020-11-13 | 2023-11-28 | 海创汇科技创业发展股份有限公司 | Acquisition method, electronic equipment, computer readable storage medium and terminal of associated enterprises |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150039549A1 (en) * | 2013-07-30 | 2015-02-05 | Reccosend LLC | System and method for computerized recommendation delivery, tracking, and prioritization |
| CN106383894A (en) * | 2016-09-23 | 2017-02-08 | 深圳市由心网络科技有限公司 | Enterprise supply-demand information matching method and apparatus |
| CN106933969A (en) * | 2017-02-10 | 2017-07-07 | 九次方大数据信息集团有限公司 | Personalized recommendation system and recommendation method based on industry upstream-downstream relationship |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103237018A (en) * | 2013-03-29 | 2013-08-07 | 东莞宇龙通信科技有限公司 | Method, server and communication system for matching clients |
| CN106934679B (en) * | 2015-12-29 | 2021-11-30 | 优信拍（北京）信息科技有限公司 | Information matching method and device |
| CN106204094A (en) * | 2016-06-23 | 2016-12-07 | 东南大学 | A kind of demand information method for pushing based on B2B platform, device |
-
2017
- 2017-08-04 CN CN201710658113.4A patent/CN108427695A/en active Pending
-
2018
- 2018-02-28 WO PCT/CN2018/077656 patent/WO2019024496A1/en active Application Filing
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150039549A1 (en) * | 2013-07-30 | 2015-02-05 | Reccosend LLC | System and method for computerized recommendation delivery, tracking, and prioritization |
| CN106383894A (en) * | 2016-09-23 | 2017-02-08 | 深圳市由心网络科技有限公司 | Enterprise supply-demand information matching method and apparatus |
| CN106933969A (en) * | 2017-02-10 | 2017-07-07 | 九次方大数据信息集团有限公司 | Personalized recommendation system and recommendation method based on industry upstream-downstream relationship |
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|---|---|---|---|---|
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