CN109857938A - Searching method, searcher and computer storage medium based on company information - Google Patents
Searching method, searcher and computer storage medium based on company information Download PDFInfo
- Publication number
- CN109857938A CN109857938A CN201910094559.8A CN201910094559A CN109857938A CN 109857938 A CN109857938 A CN 109857938A CN 201910094559 A CN201910094559 A CN 201910094559A CN 109857938 A CN109857938 A CN 109857938A
- Authority
- CN
- China
- Prior art keywords
- company information
- keyword
- information
- search
- searching method
- 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.)
- Granted
Links
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of searching method based on company information, described search method obtains described search and instructs corresponding company information, the company information includes multiple dimension indexs the following steps are included: when receiving search instruction；The comprehensive score of the company information is obtained according to the corresponding weight of the multiple dimension index and score value；The company information is exported according to the comprehensive score.The invention also discloses a kind of searcher and computer storage medium based on company information, by screening company information corresponding with search instruction, and the comprehensive score of company information is calculated by the corresponding weight of dimension index and score value, company information is exported further according to comprehensive score, it is more accurate when being retrieved to company information, to meet the actual demand of user.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to the searching method based on company information, searcher and
Computer storage medium.
Background technique
With the continuous development of Internet technology, information that user can be all kinds of by each row of internet browsing.If user thinks
It can be retrieved according to keyword in specific information platform when finding the company or enterprise that meet user demand on network,
For example, user can also input the pass in relation to design industry when the enterprise for needing to find design industry carries out specified design operation
Keyword, to retrieve the company information for meeting user demand.
But when search meets the company information of user demand, way of search is more single, i.e., by some label
It is perhaps that keyword is directly retrieved, the company information retrieved in this way can not often correspond to the actual demand of user, inspection
Hitch fruit accuracy rate is too low.
Above content is only used to facilitate the understanding of the technical scheme, and is not represented and is recognized that above content is existing skill
Art.
Summary of the invention
The main purpose of the present invention is to provide a kind of searching method based on company information, searcher and computers to deposit
Storage media, it is intended to solve the too low technical problem of the search result accuracy rate obtained currently based on the search of company information.
To achieve the above object, the present invention provides a kind of searching method based on company information, and described search method includes
Following steps:
When receiving search instruction, obtains described search and instruct corresponding company information, the company information includes more
A dimension index；
The comprehensive score of the company information is obtained according to the corresponding weight of the multiple dimension index and score value；
The company information is exported according to the comprehensive score.
Preferably, described when receiving search instruction, obtaining the corresponding company information of described search instruction includes:
Key word information when receiving search instruction, in identification described search instruction；
Acquisition includes the company information of the key word information.
Preferably, the key word information includes multiple keywords, and the acquisition includes the institute of the key word information
After stating company information further include:
Judge whether the quantity of the company information is less than preset value；
When the quantity of the company information is less than preset value, importance sorting is carried out to all keywords；
The minimum keyword of different degree is deleted according to ranking results, and institute is reacquired according to the remaining keyword
State company information.
Preferably, described pair of all keywords progress importance sortings include:
By the keyword classification；
The different degree of the keyword is obtained according to the different degree of the corresponding classification of the keyword；
All keywords are ranked up according to the different degree of the keyword.
Preferably, described to delete the minimum keyword of different degree according to ranking results, and according to the remaining key
Word reacquires after the company information further include:
It returns and executes whether the quantity for judging the company information is less than preset value and subsequent step, until remaining close
The quantity of keyword is less than or equal to preset quantity.
Preferably, the synthesis that the company information is obtained according to the corresponding weight of the multiple dimension index and score value
Scoring includes:
Obtain the score value of the dimension index；
The corresponding weight of the dimension index is obtained, the score value is weighted and averaged to obtain the enterprise according to the weight
The comprehensive score of industry information.
Preferably, the score value for obtaining the dimension index includes:
Obtain the corresponding pre-set level range of numerical value of the dimension index；
The corresponding score value of the pre-set level range is obtained using the score value as the dimension index.
Preferably, described to include: according to the comprehensive score output company information
All company informations are ranked up according to the comprehensive score；
Company information to be output is determined according to ranking results, and exports the company information to be output, it is described to defeated
The comprehensive score of company information out is higher than the company information not exported.
In addition, to achieve the above object, it is described based on enterprise the present invention also provides a kind of searcher based on company information
The searcher of industry information includes: memory, processor and is stored on the memory and can run on the processor
The search program based on company information, it is described realize when being executed based on the search program of company information by the processor it is as above
The step of searching method based on company information described in any one of described.
In addition, to achieve the above object, the present invention also provides a kind of computer storage medium, the computer storage medium
On be stored with the search program based on company information, when the search program based on company information is executed by processor realize such as
The step of searching method based on company information described in any one of upper described.
The searching method based on company information, searcher and the computer storage medium that the embodiment of the present invention proposes are led to
Screening company information corresponding with search instruction is crossed, and the comprehensive of company information is calculated by the corresponding weight of dimension index and score value
Scoring is closed, exports company information further according to comprehensive score, it is more accurate when being retrieved to company information, to meet user's
Actual demand.
Detailed description of the invention
Fig. 1 is the terminal structure schematic diagram for the hardware running environment that the embodiment of the present invention is related to；
Fig. 2 is that the present invention is based on the flow diagrams of the searching method first embodiment of company information；
Fig. 3 is that the present invention is based on the flow diagrams of the searching method second embodiment of company information；
Fig. 4 is that the present invention is based on the flow diagrams of the searching method 3rd embodiment of company information.
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 embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The primary solutions of the embodiment of the present invention are:
When receiving search instruction, obtains described search and instruct corresponding company information, the company information includes more
A dimension index；
The comprehensive score of the company information is obtained according to the corresponding weight of the multiple dimension index and score value；
The company information is exported according to the comprehensive score.
Since in the prior art, when search meets the company information of user demand, way of search is more single, that is, passes through
Some label substance or keyword are directly retrieved, and the company information retrieved in this way can not often correspond to the reality of user
Border demand, search result accuracy rate are too low.
The present invention provides a solution, by screening company information corresponding with search instruction, and is referred to by dimension
It marks corresponding weight and score value calculates the comprehensive score of company information, company information is exported further according to comprehensive score, to enterprise
It is more accurate when information is retrieved, to meet the actual demand of user.
As shown in Figure 1, Fig. 1 is the terminal structure schematic diagram for the hardware running environment that the embodiment of the present invention is related to.
The terminal of that embodiment of the invention can be PC, and it is intelligently aobvious to be also possible to smart phone, tablet computer, portable computer etc.
Show terminal device.As shown in Figure 1, the terminal may include: processor 1001, such as CPU, communication bus 1002, user interface
1003, network interface 1004, memory 1005.Wherein, communication bus 1002 is for realizing the connection communication between these components.
User interface 1003 may include display screen (Display), input unit such as keyboard (Keyboard), optional user interface
1003 can also include standard wireline interface and wireless interface.Network interface 1004 optionally may include that the wired of standard connects
Mouth, wireless interface (such as WI-FI interface).Memory 1005 can be high speed RAM memory, be also possible to stable memory
(non-volatile memory), such as magnetic disk storage.Memory 1005 optionally can also be independently of aforementioned processor
1001 storage device.
It will be understood by those skilled in the art that the restriction of the not structure paired terminal of terminal structure shown in Fig. 1, can wrap
It includes than illustrating more or fewer components, perhaps combines certain components or different component layouts.
As shown in Figure 1, as may include that operating system, network are logical in a kind of memory 1005 of computer storage medium
Believe module, Subscriber Interface Module SIM and the search program based on company information.In terminal shown in Fig. 1, network interface 1004
It is mainly used for connecting background server, carries out data communication with background server；User interface 1003 is mainly used for connecting client
It holds (user terminal), carries out data communication with client；And processor 1001 can be used for calling the base stored in memory 1005
In the search program of company information, and execute following operation:
When receiving search instruction, obtains described search and instruct corresponding company information, the company information includes more
A dimension index；
The comprehensive score of the company information is obtained according to the corresponding weight of the multiple dimension index and score value；
The company information is exported according to the comprehensive score.
Further, processor 1001 can call the search program based on company information stored in memory 1005,
Also execute following operation:
Key word information when receiving search instruction, in identification described search instruction；
Acquisition includes the company information of the key word information.
Further, processor 1001 can call the search program based on company information stored in memory 1005,
Also execute following operation:
Judge whether the quantity of the company information is less than preset value；
When the quantity of the company information is less than preset value, importance sorting is carried out to all keywords；
The minimum keyword of different degree is deleted according to ranking results, and institute is reacquired according to the remaining keyword
State company information.
Further, processor 1001 can call the search program based on company information stored in memory 1005,
Also execute following operation:
By the keyword classification；
The different degree of the keyword is obtained according to the different degree of the corresponding classification of the keyword；
All keywords are ranked up according to the different degree of the keyword.
Further, processor 1001 can call the search program based on company information stored in memory 1005,
Also execute following operation:
It returns and executes whether the quantity for judging the company information is less than preset value and subsequent step, until remaining close
The quantity of keyword is less than or equal to preset quantity.
Further, processor 1001 can call the search program based on company information stored in memory 1005,
Also execute following operation:
Obtain the score value of the dimension index；
The corresponding weight of the dimension index is obtained, the score value is weighted and averaged to obtain the enterprise according to the weight
The comprehensive score of industry information.
Further, processor 1001 can call the search program based on company information stored in memory 1005,
Also execute following operation:
Obtain the corresponding pre-set level range of numerical value of the dimension index；
The corresponding score value of the pre-set level range is obtained using the score value as the dimension index.
Further, processor 1001 can call the search program based on company information stored in memory 1005,
Also execute following operation:
All company informations are ranked up according to the comprehensive score；
Company information to be output is determined according to ranking results, and exports the company information to be output, it is described to defeated
The comprehensive score of company information out is higher than the company information not exported.
It is that the present invention is based on the flow diagrams of the searching method first embodiment of company information referring to Fig. 2, Fig. 2；
The present embodiment proposes the searching method based on company information, and the searching method based on company information includes following
Step:
Step S10 obtains described search and instructs corresponding company information, enterprise's letter when receiving search instruction
Breath includes multiple dimension indexs；
In the present embodiment, a large amount of company informations are collected in advance and are stored in search platform or search system, for
Family scans for, wherein should include multiple dimension indexs of the enterprise in each company information for embodying the enterprise
The strength and evaluation of dimension generally can all be measured with specific value, while can also be stored whole for the enterprise and every
The recommended information of dimension.After user inputs one or more keywords according to self-demand, according to the key of user's input
Word generates search command, and described search order includes the keyword of user's input.After receiving described search order, parse
Then key word information in described search order is believed further according to key word information in the pre-stored a large amount of enterprises of search platform
It is scanned in breath, acquisition includes all company informations of the keyword.It is whole due in company information including the enterprise
The recommended information of body and every dimension, therefore when search includes the company information of keyword, it can be preferentially from company information
Recommended information scan for, to obtain corresponding with search command all company informations.
Step S20 is commented according to the synthesis that the corresponding weight of the multiple dimension index and score value obtain the company information
Point；
In the present embodiment, it since each company information includes multiple dimension indexs, is getting and search instruction pair
After the company information answered, the score value of the dimension index is obtained according to the specific value of dimension index every in company information.It is obtaining
When taking the score value of dimension index, the numerical value of dimension index is compared with each pre-set level range, to judge dimension
Which pre-set level range the numerical value of index belongs to, and using the score value of the pre-set level range as point of the dimension index
Value.It is weighted and averaged according to score value of the corresponding weight of dimension index to the dimension index, i.e., the weight of dimension index is divided with corresponding
Value is multiplied, and by the product addition of all dimension indexs of the company information, to obtain the comprehensive score of the company information.
Step S30 exports the company information according to the comprehensive score.
In the present embodiment, after the comprehensive score for obtaining all company informations, according to the comprehensive of all company informations
Close scoring to be ranked up, and determine company information to be output according to the ranking results of comprehensive score, and carry out output process with
The company information for meeting user demand is shown in user interface.In general, the comprehensive score of company information to be output is high
It is certainly, different in the actual demand of user to recommend the better enterprise of user in the comprehensive score for not exporting company information
In the case of, company information to be output is calibrated standard really and is also different, therefore the company information exported is also different, here
It is not specifically limited.
Disclosed in the present embodiment in technical solution, by when receiving search instruction, obtaining described search instruction pair
Then the company information answered is commented according to the synthesis that the corresponding weight of the multiple dimension index and score value obtain the company information
Point, the company information is exported further according to the comprehensive score, it is more accurate when being retrieved to company information, to meet use
The actual demand at family.
As shown in figure 3, Fig. 3 is that the present invention is based on the flow diagrams of the searching method second embodiment of company information；
Based on first embodiment shown in Fig. 2, step S10 includes: the present embodiment
Step S11, the key word information when receiving search instruction, in identification described search instruction；
Step S12, acquisition include the company information of the key word information；
In the present embodiment, when user is by intelligent terminals searching enterprise information such as PC, mobile phones, search platform be can provide
One or more input frames input search content for user, i.e. input keyword also can provide one certainly on search platform
Or multiple Option Boxes comprising keyword, particular keywords are directly chosen for user, for example, wanting search Chevron Research Company (CRC) in user
When, user can input keywords such as " designs ", " plane " and " Guangdong " in input frame or search platform directly provides and includes
The Option Box of above-mentioned keyword.After user inputs one or more keywords according to self-demand, according to the pass of user's input
Keyword generates search command, and described search order includes the keyword of user's input.After receiving described search order, parsing
Key word information in described search order out, then according to key word information in the pre-stored a large amount of enterprises of search platform
It is scanned in information, acquisition includes all company informations of the keyword.Due to including the enterprise in company information
The recommended information of whole and every dimension, therefore when search includes the company information of keyword, it can be preferentially from company information
In recommended information scan for, to obtain corresponding with search command all company informations, for example, in keyword " to set
Meter ", " plane " and when " Guangdong ", then preferentially obtaining in recommended information includes that the enterprise of " design ", " plane " and " Guangdong " believes
Breath.
Step S13, judges whether the quantity of the company information is less than preset value；
Step S14 carries out importance sorting to all keywords when the quantity of the company information is less than preset value；
In the present embodiment, it in order to avoid search result causes to search for the company information needed less than user very little, is obtaining
After taking all company informations corresponding with search command, quantity statistics can be carried out to all company informations got, judge to look forward to
Whether the item number of industry information is less than preset quantity, and the setting of preset quantity is generally advisable with the former pages that can include user interface.
When the item number for determining company information is less than preset quantity, importance sorting is carried out to all keywords of user's input, for example,
The company information quantity obtained according to search instruction be 80, and be less than preset value 100 when, then to " design ", " plane " and
Keywords such as " Guangdong " carry out importance sorting.The method of importance sorting can be all keywords point of user's input first
Class judges which keyword belongs to which classification, and using the different degree of preset specified classification as the different degree of the keyword,
Then all keywords are ranked up according to different degree, wherein different degree be generally available specific value or word content into
Row description, for example, " design " is referred to " type of business ", and corresponding different degree is 80%, and " plane " is referred to and " is produced
Category type ", and corresponding different degree is 50%, " Guangdong " is referred to " job site ", and corresponding different degree is
30%.Certainly, keyword can also be ranked up according to other standards, for example, usually will most think since user is in search
Front end is received in being searched for be inputted, then the sequence of keyword can be inputted according to user, to every in search instruction
One keyword tag, one serial number is ranked up in sequence according to serial number, such as user's input sequence is " design ", " extensively
East ", " plane ", then respectively correspond 1,2,3, and be ranked up.
Step S15 deletes the minimum keyword of different degree according to ranking results, and according to the remaining keyword weight
Newly obtain the company information.
In the present embodiment, a minimum keyword of different degree then is determined according to ranking results, naturally it is also possible to be
The lower multiple keywords of different degree, and carry out delete processing.After the completion of delete processing, according to remaining all keyword weights
New screening includes company information corresponding with keyword.Wherein, it according to above-mentioned example, is needing to carry out delete processing to keyword
When, it is then to delete " Guangdong " according to importance sorting, is ranked up according to serial number, is deletion " plane ", then again according to residue
All keywords carry out screening process.Delete processing is carried out in addition, also can provide keyword and manually select keyword for user.
After re-starting screening process, can the quantity again to the company information got judge, judge whether quantity is less than
Preset value is less than preset value 100, then carries out again if quantity is 90 again less than the quantity of preset value, such as company information
The sequence and deletion of keyword, and the step of corresponding company information obtained according to remaining keyword again, until get
The quantity of company information be greater than or equal to the quantity of preset value or keyword and be less than preset quantity, to avoid keyword number
The too big caused search inaccuracy in search range when measuring very little.
Disclosed in the present embodiment in technical solution, by obtaining corresponding with search instruction when receiving search instruction
Company information, then judge whether the quantity of the company information is less than preset value, be less than in the quantity of the company information
It sorts when preset value to all keywords, deletes the minimum keyword of different degree according to ranking results, and according to remaining institute
State keyword and reacquire the company information, thus avoid the quantity of the company information got it is very few cause search less than with
The company information that family needs.
As shown in figure 4, Fig. 4 is that the present invention is based on the flow diagrams of the searching method 3rd embodiment of company information；
Based on first embodiment shown in Fig. 2, step S20 includes: the present embodiment
Step S21 obtains the corresponding pre-set level range of numerical value of the dimension index；
Step S22 obtains the corresponding score value of the pre-set level range using the score value as the dimension index；
In the present embodiment, in search platform or search system, it is previously provided with the multiple default of every dimension index
Indication range, and each pre-set level range all corresponds to a specific score value, and score value is usually hundred-mark system, naturally it is also possible to
It is ten point system or other forms.Therefore, when obtaining the score value of dimension index, by the numerical value of dimension index and each default finger
Mark range is compared, to judge which pre-set level range the numerical value of dimension index belongs to, and by the pre-set level model
Score value of the score value enclosed as the dimension index, such as in the numerical value of dimension index " order unit price " be 500, and pre-set level model
When enclosing including 0-300,300-600,600-1000,1000 or more, then determine that the numerical value of dimension index " order unit price " exists
Within the scope of 300-600, and the score value 70 of 300-600 is corresponded to, i.e. the score value of dimension index " order unit price " is 70, is for another example being tieed up
The numerical value for spending index " quantity of received orders " is 100, and when pre-set level range includes 0-30,30-80,80-120,120 or more,
Then determine that the numerical value of dimension index " quantity of received orders " within the scope of 80-120, and corresponds to the score value 50 of 80-120, i.e. dimension refers to
The score value of mark " order unit price " is 50.
Step S23 obtains the corresponding weight of the dimension index, is weighted and averaged the score value to obtain according to the weight
Take the comprehensive score of the company information.
In the present embodiment, it according to the significance level of every dimension index or the attention degree of user, is previously provided with every
The corresponding weight of dimension index, user can also modify manually.According to the corresponding weight of dimension index to the dimension index
Score value weighted average, i.e., the weight of dimension index is multiplied with corresponding score value, and by all dimension indexs of the company information
Product addition, so that the comprehensive score of the company information is obtained, for example, the company information includes two dimension index " order lists
Valence " and " quantity of received orders ", and the default weight of " order unit price " is 0.3, and corresponding score value is 70, the weight of " quantity of received orders " is
0.7, and corresponding score value is 50, then the comprehensive score of the company information is 56.
Disclosed in the present embodiment in technical solution, pass through the corresponding pre-set level model of numerical value for obtaining the dimension index
It encloses, and the score value according to the corresponding score value of the pre-set level range as the dimension index, further according to the dimension index pair
The weight answered is weighted and averaged the score value to obtain the comprehensive score of the company information, realizes to be matched to calculate according to weight and look forward to
The comprehensive score of industry information keeps enterprise's scoring more accurate.
It is described based on company information in addition, the embodiment of the present invention also proposes a kind of searcher based on company information
Searcher include: memory, processor and be stored on the memory and can run on the processor based on enterprise
The search program of industry information, it is described to realize embodiment institute as above when being executed based on the search program of company information by the processor
The step of searching method based on company information stated.
In addition, the embodiment of the present invention also proposes a kind of computer storage medium, it is stored in the computer storage medium
Search program based on company information, the search program based on company information realize embodiment as above when being executed by processor
The step of described searching method based on company information.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that terminal device (it can be mobile phone,
Computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all 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. a kind of searching method based on company information, which is characterized in that described search method the following steps are included:
When receiving search instruction, obtains described search and instruct corresponding company information, the company information includes multiple dimensions
Spend index；
The comprehensive score of the company information is obtained according to the corresponding weight of the multiple dimension index and score value；
The company information is exported according to the comprehensive score.
2. searching method as described in claim 1, which is characterized in that it is described when receiving search instruction, it is searched described in acquisition
The corresponding company information of Suo Zhiling includes:
Key word information when receiving search instruction, in identification described search instruction；
Acquisition includes the company information of the key word information.
3. searching method as claimed in claim 2, which is characterized in that the key word information includes multiple keywords, described
After acquisition includes the company information of the key word information further include:
Judge whether the quantity of the company information is less than preset value；
When the quantity of the company information is less than preset value, importance sorting is carried out to all keywords；
The minimum keyword of different degree is deleted according to ranking results, and the enterprise is reacquired according to the remaining keyword
Industry information.
4. searching method as claimed in claim 3, which is characterized in that described pair of all keywords carry out importance sorting packet
It includes:
By the keyword classification；
The different degree of the keyword is obtained according to the different degree of the corresponding classification of the keyword；
All keywords are ranked up according to the different degree of the keyword.
5. searching method as claimed in claim 3, which is characterized in that described to delete the minimum institute of different degree according to ranking results
State keyword, and after reacquiring the company information according to the remaining keyword further include:
It returns and executes whether the quantity for judging the company information is less than preset value and subsequent step, until remaining keyword
Quantity be less than or equal to preset quantity.
6. searching method as described in claim 1, which is characterized in that described according to the corresponding weight of the multiple dimension index
The comprehensive score for obtaining the company information with score value includes:
Obtain the score value of the dimension index；
The corresponding weight of the dimension index is obtained, the score value is weighted and averaged according to the weight to obtain the enterprise and believe
The comprehensive score of breath.
7. searching method as claimed in claim 6, which is characterized in that the score value for obtaining the dimension index includes:
Obtain the corresponding pre-set level range of numerical value of the dimension index；
The corresponding score value of the pre-set level range is obtained using the score value as the dimension index.
8. searching method as described in claim 1, which is characterized in that described to export enterprise's letter according to the comprehensive score
Breath includes:
All company informations are ranked up according to the comprehensive score；
Company information to be output is determined according to ranking results, and exports the company information to be output, it is described to be output
The comprehensive score of company information is higher than the company information not exported.
9. a kind of searcher based on company information, which is characterized in that the searcher based on company information includes: to deposit
Reservoir, processor and the search journey based on company information that is stored on the memory and can run on the processor
Sequence, it is described to realize as described in any one of claims 1 to 8 when being executed based on the search program of company information by the processor
The searching method based on company information the step of.
10. a kind of computer storage medium, which is characterized in that be stored in the computer storage medium based on company information
Search program is realized when the search program based on company information is executed by processor such as any one of claims 1 to 8 institute
The step of searching method based on company information stated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910094559.8A CN109857938B (en) | 2019-01-30 | 2019-01-30 | Searching method and searching device based on enterprise information and computer storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910094559.8A CN109857938B (en) | 2019-01-30 | 2019-01-30 | Searching method and searching device based on enterprise information and computer storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109857938A true CN109857938A (en) | 2019-06-07 |
| CN109857938B CN109857938B (en) | 2020-07-28 |
Family
ID=66897014
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910094559.8A Active CN109857938B (en) | 2019-01-30 | 2019-01-30 | Searching method and searching device based on enterprise information and computer storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109857938B (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110457433A (en) * | 2019-07-05 | 2019-11-15 | 深圳壹账通智能科技有限公司 | Enterprise query method, apparatus, computer equipment and storage medium |
| 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 |
| CN111737608A (en) * | 2020-06-22 | 2020-10-02 | 中国银行股份有限公司 | Enterprise information retrieval result ordering method and device |
| CN111815276A (en) * | 2020-07-07 | 2020-10-23 | 苏州达家迎信息技术有限公司 | Enterprise information processing method and device, computer equipment and storage medium |
| CN112148760A (en) * | 2020-10-10 | 2020-12-29 | 北京火眼神算数据科技有限公司 | Big data screening method and device |
| CN112884362A (en) * | 2021-03-18 | 2021-06-01 | 杭州太火鸟科技有限公司 | Intelligent supplier matching method, device, equipment and storage medium |
| CN114493326A (en) * | 2022-02-12 | 2022-05-13 | 北海职业学院 | Foreign trade integrated service enterprise assessment method and device |
| CN115965335A (en) * | 2022-12-13 | 2023-04-14 | 中诚智信工程咨询集团股份有限公司 | Method and system for managing engineering consultation information in whole process |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102289436A (en) * | 2010-06-18 | 2011-12-21 | 阿里巴巴集团控股有限公司 | Method and device for determining weighted value of search term and method and device for generating search results |
| CN102915380A (en) * | 2012-11-19 | 2013-02-06 | 北京奇虎科技有限公司 | Method and system for carrying out searching on data |
| CN102930054A (en) * | 2012-11-19 | 2013-02-13 | 北京奇虎科技有限公司 | Data search method and data search system |
| CN103092856A (en) * | 2011-10-31 | 2013-05-08 | 阿里巴巴集团控股有限公司 | Search result ordering method, search result ordering equipment, searing method and searching equipment |
| CN105843850A (en) * | 2016-03-15 | 2016-08-10 | 北京百度网讯科技有限公司 | Searching optimization method and device |
| CN108108380A (en) * | 2016-11-25 | 2018-06-01 | 阿里巴巴集团控股有限公司 | Search ordering method, searching order device, searching method and searcher |
| CN108614843A (en) * | 2016-12-13 | 2018-10-02 | 北京国双科技有限公司 | The appraisal procedure and device of web site contents |
| CN108959644A (en) * | 2018-07-27 | 2018-12-07 | 天津字节跳动科技有限公司 | Search ordering method, device, computer equipment and storage medium |
-
2019
- 2019-01-30 CN CN201910094559.8A patent/CN109857938B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102289436A (en) * | 2010-06-18 | 2011-12-21 | 阿里巴巴集团控股有限公司 | Method and device for determining weighted value of search term and method and device for generating search results |
| CN103092856A (en) * | 2011-10-31 | 2013-05-08 | 阿里巴巴集团控股有限公司 | Search result ordering method, search result ordering equipment, searing method and searching equipment |
| CN102915380A (en) * | 2012-11-19 | 2013-02-06 | 北京奇虎科技有限公司 | Method and system for carrying out searching on data |
| CN102930054A (en) * | 2012-11-19 | 2013-02-13 | 北京奇虎科技有限公司 | Data search method and data search system |
| CN105843850A (en) * | 2016-03-15 | 2016-08-10 | 北京百度网讯科技有限公司 | Searching optimization method and device |
| CN108108380A (en) * | 2016-11-25 | 2018-06-01 | 阿里巴巴集团控股有限公司 | Search ordering method, searching order device, searching method and searcher |
| CN108614843A (en) * | 2016-12-13 | 2018-10-02 | 北京国双科技有限公司 | The appraisal procedure and device of web site contents |
| CN108959644A (en) * | 2018-07-27 | 2018-12-07 | 天津字节跳动科技有限公司 | Search ordering method, device, computer equipment and storage medium |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110457433A (en) * | 2019-07-05 | 2019-11-15 | 深圳壹账通智能科技有限公司 | Enterprise query method, apparatus, computer equipment and storage medium |
| 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 |
| CN111737608A (en) * | 2020-06-22 | 2020-10-02 | 中国银行股份有限公司 | Enterprise information retrieval result ordering method and device |
| CN111737608B (en) * | 2020-06-22 | 2024-01-19 | 中国银行股份有限公司 | Method and device for ordering enterprise information retrieval results |
| CN111815276A (en) * | 2020-07-07 | 2020-10-23 | 苏州达家迎信息技术有限公司 | Enterprise information processing method and device, computer equipment and storage medium |
| CN112148760A (en) * | 2020-10-10 | 2020-12-29 | 北京火眼神算数据科技有限公司 | Big data screening method and device |
| CN112884362A (en) * | 2021-03-18 | 2021-06-01 | 杭州太火鸟科技有限公司 | Intelligent supplier matching method, device, equipment and storage medium |
| CN114493326A (en) * | 2022-02-12 | 2022-05-13 | 北海职业学院 | Foreign trade integrated service enterprise assessment method and device |
| CN115965335A (en) * | 2022-12-13 | 2023-04-14 | 中诚智信工程咨询集团股份有限公司 | Method and system for managing engineering consultation information in whole process |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109857938B (en) | 2020-07-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109857938A (en) | Searching method, searcher and computer storage medium based on company information | |
| CN103377200B (en) | User preference information acquisition method and device | |
| US8086045B2 (en) | Image processing device with classification key selection unit and image processing method | |
| CN102880687B (en) | Based on individual interactive data retrieval method and the system thereof of label technique | |
| CN102375823B (en) | Searching result gathering display method and system | |
| CN109063000B (en) | Question recommendation method, customer service system and computer-readable storage medium | |
| CN109871483A (en) | A kind of determination method and device of recommendation information | |
| CN107977405A (en) | Data reordering method, data sorting device, electronic equipment and readable storage medium storing program for executing | |
| CN104965842B (en) | Method and apparatus are recommended in search | |
| US20070133522A1 (en) | Method and System for Defining, Capturing, and Reporting Performance Data | |
| US8180757B2 (en) | System and method for leveraging tag context | |
| AU2008232816A1 (en) | Techniques to share information between application programs | |
| CN105718533A (en) | Information pushing method and device | |
| CN108566666A (en) | Wi-Fi Hotspot recommends method, apparatus and storage medium | |
| CN107832338A (en) | A kind of method and system for identifying core product word | |
| CN111899068A (en) | Commodity shopping guide method and device, storage medium and computer equipment | |
| CN107506501A (en) | The methods of exhibiting and device of search result | |
| CN111915392A (en) | Classified display method for search results of electronic commerce platform of components | |
| CN106156111A (en) | Patent document search method, device and system | |
| CN106708834A (en) | Object searching method, device and server | |
| CN108765057A (en) | Create method, terminal and the storage medium of order | |
| CN116166906A (en) | Search page optimization layout analysis system and method based on cloud computing | |
| TW201409264A (en) | Method for sorting and managing websites and electronic device of executing the same | |
| CN103389981A (en) | Network label automatic identification method and system thereof | |
| CN105224654A (en) | A kind of Web browsing mode changing method and electronic equipment |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20230705 Address after: 528000 101, building C, No.1 Chuangye Road, chendajiao industrial community, Beijiao community, Shunde District, Foshan City, Guangdong Province Patentee after: Foshan taihuohongniao Technology Co.,Ltd. Address before: Room 370, 266 Xinhua Road, Xiacheng District, Hangzhou, Zhejiang 310000 Patentee before: HANGZHOU TAIHUONIAO TECHNOLOGY Co.,Ltd. |