CN109857938B - Searching method and searching device based on enterprise information and computer storage medium - Google Patents
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Abstract
The invention discloses a searching method based on enterprise information, which comprises the following steps: when a search instruction is received, acquiring enterprise information corresponding to the search instruction, wherein the enterprise information comprises a plurality of dimensional indexes; acquiring a comprehensive score of the enterprise information according to the weights and the scores corresponding to the multiple dimension indexes; and outputting the enterprise information according to the comprehensive score. The invention also discloses a searching device and a computer storage medium based on the enterprise information, which can be used for more accurately retrieving the enterprise information by screening the enterprise information corresponding to the searching instruction, calculating the comprehensive score of the enterprise information according to the weight and the score corresponding to the dimension index and outputting the enterprise information according to the comprehensive score so as to meet the actual requirements of users.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a search method, a search apparatus, and a computer storage medium based on enterprise information.
Background
With the continuous development of internet technology, users can browse various types of information through the internet. If a user wants to find a company or an enterprise meeting the user's requirements on the network, the user can search on a specific information platform according to the keywords, for example, when the user needs to find the enterprise in the design industry to perform a specified design operation, the user can also input the keywords related to the design industry to search out the enterprise information meeting the user's requirements.
However, when searching for enterprise information meeting the needs of the user, the searching method is single, that is, the enterprise information is directly searched through a certain tag content or keyword, so that the searched enterprise information often cannot meet the actual needs of the user, and the accuracy of the search result is too low.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a searching method, a searching device and a computer storage medium based on enterprise information, and aims to solve the technical problem that the accuracy of a retrieval result obtained by searching based on the enterprise information is too low at present.
In order to achieve the above object, the present invention provides a searching method based on enterprise information, the searching method comprising the steps of:
when a search instruction is received, acquiring enterprise information corresponding to the search instruction, wherein the enterprise information comprises a plurality of dimensional indexes;
acquiring a comprehensive score of the enterprise information according to the weights and the scores corresponding to the multiple dimension indexes;
and outputting the enterprise information according to the comprehensive score.
Preferably, when the search instruction is received, the acquiring of the enterprise information corresponding to the search instruction includes:
when a search instruction is received, identifying keyword information in the search instruction;
and acquiring the enterprise information containing the keyword information.
Preferably, the keyword information includes a plurality of keywords, and after acquiring the enterprise information including the keyword information, the method further includes:
judging whether the quantity of the enterprise information is smaller than a preset value or not;
when the number of the enterprise information is smaller than a preset value, ranking the importance of all keywords;
and deleting the keywords with the lowest importance according to the sorting result, and re-acquiring the enterprise information according to the rest keywords.
Preferably, the ranking of importance of all keywords comprises:
classifying the keywords;
acquiring the importance of the keyword according to the importance of the category corresponding to the keyword;
and sequencing all the keywords according to the importance of the keywords.
Preferably, after deleting the keyword with the lowest importance according to the sorting result and re-acquiring the enterprise information according to the remaining keywords, the method further includes:
and returning to execute the steps of judging whether the number of the enterprise information is smaller than the preset value or not and the subsequent steps until the number of the remaining keywords is smaller than or equal to the preset number.
Preferably, the obtaining of the composite score of the enterprise information according to the weights and the scores corresponding to the multiple dimension indexes includes:
obtaining the score of the dimension index;
and acquiring the weight corresponding to the dimension index, and carrying out weighted average on the scores according to the weight to acquire the comprehensive score of the enterprise information.
Preferably, the obtaining the score of the dimension index includes:
acquiring a preset index range corresponding to the numerical value of the dimension index;
and obtaining a score corresponding to the preset index range to serve as the score of the dimension index.
Preferably, the outputting the business information according to the composite score includes:
sequencing all the enterprise information according to the comprehensive scores;
and determining the enterprise information to be output according to the sequencing result, and outputting the enterprise information to be output, wherein the comprehensive score of the enterprise information to be output is higher than that of the enterprise information which is not output.
In addition, to achieve the above object, the present invention provides an enterprise information based search apparatus, including: a memory, a processor, and an enterprise information based search program stored on the memory and executable on the processor, the enterprise information based search program when executed by the processor implementing the steps of the enterprise information based search method as described in any one of the above.
Further, to achieve the above object, the present invention also provides a computer storage medium having stored thereon an enterprise information-based search program, which when executed by a processor, implements the steps of the enterprise information-based search method as described in any one of the above.
According to the enterprise information-based searching method, the searching device and the computer storage medium, provided by the embodiment of the invention, the enterprise information corresponding to the searching instruction is screened, the comprehensive score of the enterprise information is calculated through the weight and the score corresponding to the dimension index, and the enterprise information is output according to the comprehensive score, so that the enterprise information is more accurately retrieved to meet the actual requirements of users.
Drawings
Fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of a method for searching based on enterprise information according to the present invention;
FIG. 3 is a flowchart illustrating a second embodiment of the enterprise information-based search method according to the present invention;
fig. 4 is a flowchart illustrating a third embodiment of the enterprise information-based searching method according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows:
when a search instruction is received, acquiring enterprise information corresponding to the search instruction, wherein the enterprise information comprises a plurality of dimensional indexes;
acquiring a comprehensive score of the enterprise information according to the weights and the scores corresponding to the multiple dimension indexes;
and outputting the enterprise information according to the comprehensive score.
In the prior art, when enterprise information meeting the requirements of users is searched, the searching mode is single, namely, the enterprise information is directly searched through certain label content or keywords, so that the searched enterprise information cannot meet the actual requirements of the users frequently, and the accuracy of the search result is too low.
The invention provides a solution, which is more accurate in enterprise information retrieval by screening enterprise information corresponding to a search instruction, calculating the comprehensive score of the enterprise information through the weight and the score corresponding to the dimension index and outputting the enterprise information according to the comprehensive score so as to meet the actual requirements of users.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a PC, and can also be an intelligent display terminal device such as a smart phone, a tablet computer, a portable computer and the like. As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and an enterprise information-based search program. In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call the enterprise information-based search program stored in the memory 1005 and perform the following operations:
when a search instruction is received, acquiring enterprise information corresponding to the search instruction, wherein the enterprise information comprises a plurality of dimensional indexes;
acquiring a comprehensive score of the enterprise information according to the weights and the scores corresponding to the multiple dimension indexes;
and outputting the enterprise information according to the comprehensive score.
Further, the processor 1001 may call the enterprise information-based search program stored in the memory 1005, and also perform the following operations:
when a search instruction is received, identifying keyword information in the search instruction;
and acquiring the enterprise information containing the keyword information.
Further, the processor 1001 may call the enterprise information-based search program stored in the memory 1005, and also perform the following operations:
judging whether the quantity of the enterprise information is smaller than a preset value or not;
when the number of the enterprise information is smaller than a preset value, ranking the importance of all keywords;
and deleting the keywords with the lowest importance according to the sorting result, and re-acquiring the enterprise information according to the rest keywords.
Further, the processor 1001 may call the enterprise information-based search program stored in the memory 1005, and also perform the following operations:
classifying the keywords;
acquiring the importance of the keyword according to the importance of the category corresponding to the keyword;
and sequencing all the keywords according to the importance of the keywords.
Further, the processor 1001 may call the enterprise information-based search program stored in the memory 1005, and also perform the following operations:
and returning to execute the steps of judging whether the number of the enterprise information is smaller than the preset value or not and the subsequent steps until the number of the remaining keywords is smaller than or equal to the preset number.
Further, the processor 1001 may call the enterprise information-based search program stored in the memory 1005, and also perform the following operations:
obtaining the score of the dimension index;
and acquiring the weight corresponding to the dimension index, and carrying out weighted average on the scores according to the weight to acquire the comprehensive score of the enterprise information.
Further, the processor 1001 may call the enterprise information-based search program stored in the memory 1005, and also perform the following operations:
acquiring a preset index range corresponding to the numerical value of the dimension index;
and obtaining a score corresponding to the preset index range to serve as the score of the dimension index.
Further, the processor 1001 may call the enterprise information-based search program stored in the memory 1005, and also perform the following operations:
sequencing all the enterprise information according to the comprehensive scores;
and determining the enterprise information to be output according to the sequencing result, and outputting the enterprise information to be output, wherein the comprehensive score of the enterprise information to be output is higher than that of the enterprise information which is not output.
Referring to fig. 2, fig. 2 is a schematic flowchart of a first embodiment of the enterprise information-based search method according to the present invention;
the embodiment provides a searching method based on enterprise information, which comprises the following steps:
step S10, when a search instruction is received, acquiring enterprise information corresponding to the search instruction, wherein the enterprise information comprises a plurality of dimensional indexes;
in this embodiment, a large amount of enterprise information is collected in advance and stored on a search platform or a search system for a user to search, where each enterprise information should include multiple dimension indexes of the enterprise for embodying the strength and evaluation of a certain dimension of the enterprise, and generally may be measured by specific values, and meanwhile, introduction information for the whole enterprise and each dimension may also be stored. After a user inputs one or more keywords according to own requirements, a search command is generated according to the keywords input by the user, and the search command comprises the keywords input by the user. After the search command is received, keyword information in the search command is analyzed, and then a large amount of enterprise information pre-stored in a search platform is searched according to the keyword information to obtain all enterprise information including the keywords. Because the enterprise information contains introduction information of the whole enterprise and each dimension, when searching the enterprise information containing the keywords, the enterprise information can be preferentially searched from the introduction information in the enterprise information so as to obtain all the enterprise information corresponding to the search command.
Step S20, acquiring a comprehensive score of the enterprise information according to the weights and the scores corresponding to the multiple dimension indexes;
in this embodiment, each piece of enterprise information includes a plurality of dimension indexes, and after the enterprise information corresponding to the search instruction is acquired, the score of each dimension index is acquired according to the specific numerical value of the dimension index in the enterprise information. When the score of the dimension index is obtained, the value of the dimension index is compared with each preset index range, so that the preset index range to which the value of the dimension index belongs is judged, and the score of the preset index range is used as the score of the dimension index. And carrying out weighted average on the scores of the dimension indexes according to the weights corresponding to the dimension indexes, namely multiplying the weights of the dimension indexes by the corresponding scores, and adding the products of all the dimension indexes of the enterprise information to obtain the comprehensive score of the enterprise information.
And step S30, outputting the enterprise information according to the comprehensive score.
In this embodiment, after the comprehensive scores of all the enterprise information are obtained, the enterprise information to be output is determined according to the comprehensive scores of all the enterprise information, and an output process is performed to display the enterprise information meeting the user requirements on a user interface. Generally, the composite score of the enterprise information to be output is higher than that of the enterprise information not output, so as to recommend the enterprise to the user, and certainly, under the condition that the actual requirements of the user are different, the determination criteria of the enterprise information to be output are also different, so that the enterprise information to be output is also different, and the method is not particularly limited herein.
In the technical scheme disclosed in this embodiment, when a search instruction is received, the enterprise information corresponding to the search instruction is acquired, then the comprehensive score of the enterprise information is acquired according to the weights and scores corresponding to the multiple dimension indexes, and then the enterprise information is output according to the comprehensive score, so that the enterprise information is more accurately retrieved to meet the actual requirements of the user.
As shown in fig. 3, fig. 3 is a schematic flowchart of a second embodiment of the enterprise information-based searching method according to the present invention;
this embodiment is based on the first embodiment shown in fig. 2, and step S10 includes:
step S11, when a search instruction is received, identifying keyword information in the search instruction;
step S12, acquiring the enterprise information containing the keyword information;
in this embodiment, when a user searches for enterprise information through an intelligent terminal such as a PC or a mobile phone, the search platform may provide one or more input boxes for the user to input search content, that is, to input keywords, and certainly, the search platform may also provide one or more option boxes containing keywords for the user to directly select specific keywords, for example, when the user wants to search for a design company, the user may input keywords such as "design", "plane", and "guangdong" in the input boxes, or the search platform directly provides an option box containing the keywords. After a user inputs one or more keywords according to own requirements, a search command is generated according to the keywords input by the user, and the search command comprises the keywords input by the user. After the search command is received, keyword information in the search command is analyzed, and then a large amount of enterprise information pre-stored in a search platform is searched according to the keyword information to obtain all enterprise information including the keywords. Because the enterprise information includes introduction information of the whole enterprise and each dimension, when searching the enterprise information including the keyword, the enterprise information can be preferentially searched from the introduction information in the enterprise information to acquire all enterprise information corresponding to the search command, for example, when the keyword is "design", "plane" and "guangdong", the enterprise information including "design", "plane" and "guangdong" in the introduction information is preferentially acquired.
Step S13, judging whether the quantity of the enterprise information is less than a preset value;
s14, when the number of the enterprise information is smaller than a preset value, ranking all keywords according to importance;
in this embodiment, in order to avoid that the enterprise information required by the user cannot be searched due to too few search results, after all the enterprise information corresponding to the search command is acquired, the quantity of the acquired enterprise information may be counted, and whether the number of the enterprise information is smaller than a preset quantity is determined, where the preset quantity is set to be generally suitable for the first few pages that can include the user interface. When the number of pieces of enterprise information is judged to be smaller than the preset number, importance ranking is performed on all keywords input by the user, for example, when the number of pieces of enterprise information acquired according to the search instruction is 80 and is smaller than the preset value 100, importance ranking is performed on keywords such as "design", "plane", and "guangdong". The method for ranking the importance degree may be to classify all the keywords input by the user, determine which keyword belongs to which category, and take the preset importance degree of the designated category as the importance degree of the keyword, and then rank all the keywords according to the importance degree, wherein the importance degree may be generally described by specific numerical values or text contents, for example, "design" is classified into "enterprise type" and the corresponding importance degree is 80%, "plane" is classified into "product type" and the corresponding importance degree is 50%, and "guangdong" is classified into "work place" and the corresponding importance degree is 30%. Of course, the keywords may be sorted according to other criteria, for example, since the user generally inputs the content most desired to be searched at the forefront during searching, a sequence number may be marked for each keyword in the search instruction according to the sequence in which the user inputs the keywords, and the keywords may be sorted according to the sequence numbers during sorting, for example, when the user inputs the sequence "design", "guangdong", and "plane", the keywords may be sorted according to 1, 2, and 3, respectively.
And step S15, deleting the keywords with the lowest importance according to the sorting result, and re-acquiring the enterprise information according to the remaining keywords.
In this embodiment, then, a keyword with the lowest importance level is determined according to the ranking result, and of course, a plurality of keywords with lower importance levels may be determined, and the deletion process is performed. And after the deletion processing is finished, re-screening enterprise information containing the keywords according to the rest keywords. According to the above example, when the keywords need to be deleted, the "guangdong" is deleted according to the ranking of the importance, the "plane" is deleted according to the ranking of the serial numbers, and then the screening process is performed again according to all the remaining keywords. In addition, keywords may also be provided for the user to manually select keywords for deletion processing. After the screening process is carried out again, the number of the obtained enterprise information can be judged again, whether the number is smaller than the preset value or not is judged, if the number is smaller than the preset value again, for example, the number of the enterprise information is 90, and the number is smaller than the preset value of 100, the keywords are sorted and deleted again, and the corresponding enterprise information is obtained again according to the remaining keywords until the number of the obtained enterprise information is larger than or equal to the preset value or the number of the keywords is smaller than the preset number, so that the search inaccuracy caused by the fact that the search range is too large when the number of the keywords is too small is avoided.
In the technical scheme disclosed in this embodiment, when a search instruction is received, enterprise information corresponding to the search instruction is acquired, and then whether the number of the enterprise information is smaller than a preset value is judged, all keywords are sorted when the number of the enterprise information is smaller than the preset value, the keyword with the lowest importance is deleted according to a sorting result, and the enterprise information is acquired again according to the remaining keywords, so that the enterprise information which is not required by a user and cannot be searched due to too small number of the acquired enterprise information is avoided.
As shown in fig. 4, fig. 4 is a schematic flowchart of a third embodiment of the enterprise information-based searching method according to the present invention;
this embodiment is based on the first embodiment shown in fig. 2, and step S20 includes:
step S21, acquiring a preset index range corresponding to the numerical value of the dimension index;
step S22, obtaining a score corresponding to the preset index range as the score of the dimension index;
in this embodiment, in the search platform or the search system, a plurality of preset index ranges of each dimension index are preset, and each preset index range corresponds to a specific score, and the score is generally a percentile system, and may be a tenth system or other forms. Therefore, when the score of the dimension index is obtained, the value of the dimension index is compared with each preset index range, so as to determine which preset index range the value of the dimension index belongs to, and the score of the preset index range is used as the score of the dimension index, for example, when the value of the dimension index 'receiving unit price' is 500, and the preset index range includes 0-300, 300-600, 600-1000, 1000 and above, the value of the dimension index 'receiving unit price' is determined to be within the range of 300-600, and corresponds to the score of 300-600, that is, the score of the dimension index 'receiving unit price' is 70, and when the value of the dimension index 'receiving unit quantity' is 100, and the preset index range includes 0-30, 30-80, 80-120, 120 and above, the value of the dimension index 'receiving unit quantity' is determined to be within the range of 80-120, and corresponds to a score of 50 of 80-120, i.e., a score of 50 for the dimension index "unit price by unit".
And step S23, obtaining the weight corresponding to the dimension index, and carrying out weighted average on the score according to the weight to obtain the comprehensive score of the enterprise information.
In this embodiment, the weight corresponding to each dimension index is preset according to the importance degree of each dimension index or the importance degree of the user, and the user may also modify the dimension index manually. The score of the dimension index is weighted and averaged according to the weight corresponding to the dimension index, that is, the weight of the dimension index is multiplied by the corresponding score, and the products of all the dimension indexes of the enterprise information are added, so as to obtain the comprehensive score of the enterprise information, for example, the enterprise information includes two dimension indexes of "unit price" and "number of unit taking", the preset weight of the "unit price of unit taking" is 0.3, the corresponding score is 70, the weight of the "number of unit taking" is 0.7, and the corresponding score is 50, so that the comprehensive score of the enterprise information is 56.
In the technical scheme disclosed in this embodiment, the comprehensive score of the enterprise information is obtained by obtaining the preset index range corresponding to the numerical value of the dimension index, taking the score corresponding to the preset index range as the score of the dimension index, and performing weighted average on the scores according to the weight corresponding to the dimension index, so that the comprehensive score of the enterprise information is calculated according to the weight ratio, and the enterprise score is more accurate.
In addition, an embodiment of the present invention further provides an enterprise information based search device, where the enterprise information based search device includes: the search system comprises a memory, a processor and an enterprise information-based search program stored on the memory and capable of running on the processor, wherein the steps of the enterprise information-based search method are realized when the search program is executed by the processor.
In addition, an embodiment of the present invention further provides a computer storage medium, where an enterprise information-based search program is stored on the computer storage medium, and the enterprise information-based search program, when executed by a processor, implements the steps of the enterprise information-based search method according to the above embodiment.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A searching method based on enterprise information is characterized by comprising the following steps:
when a search instruction is received, acquiring enterprise information corresponding to the search instruction, wherein the enterprise information comprises a plurality of dimensional indexes;
when the number of the enterprise information is larger than or equal to a preset value, acquiring a comprehensive score of the enterprise information according to the weights and scores corresponding to the multiple dimension indexes, wherein when the number of the enterprise information is smaller than the preset value, acquiring the importance of the keyword according to the importance of the category corresponding to the keyword in the search instruction, deleting the keyword with the lowest importance, and acquiring the enterprise information again according to the remaining keywords;
and outputting the enterprise information according to the comprehensive score.
2. The searching method according to claim 1, wherein the obtaining of the enterprise information corresponding to the search instruction when receiving the search instruction comprises:
when a search instruction is received, identifying keyword information in the search instruction;
and acquiring the enterprise information containing the keyword information.
3. The search method according to claim 2, wherein the keyword information includes a plurality of keywords, and after obtaining the enterprise information including the keyword information, the method further comprises:
judging whether the quantity of the enterprise information is smaller than a preset value or not;
when the number of the enterprise information is smaller than a preset value, ranking the importance of all keywords;
and deleting the keywords with the lowest importance according to the sorting result, and re-acquiring the enterprise information according to the rest keywords.
4. The search method of claim 3, wherein said ranking of importance of all keywords comprises:
classifying the keywords;
acquiring the importance of the keyword according to the importance of the category corresponding to the keyword;
and sequencing all the keywords according to the importance of the keywords.
5. The searching method according to claim 3, wherein after deleting the keyword with the lowest importance according to the sorting result and retrieving the enterprise information according to the remaining keywords, the method further comprises:
and returning to execute the steps of judging whether the number of the enterprise information is smaller than the preset value or not and the subsequent steps until the number of the remaining keywords is smaller than or equal to the preset number.
6. The searching method of claim 1, wherein the obtaining of the composite score of the business information according to the weights and scores corresponding to the plurality of dimensional indexes comprises:
obtaining the score of the dimension index;
and acquiring the weight corresponding to the dimension index, and carrying out weighted average on the scores according to the weight to acquire the comprehensive score of the enterprise information.
7. The search method of claim 6, wherein said obtaining a score for said dimension indicator comprises:
acquiring a preset index range corresponding to the numerical value of the dimension index;
and obtaining a score corresponding to the preset index range to serve as the score of the dimension index.
8. The search method of claim 1, wherein said outputting the business information based on the composite score comprises:
sequencing all the enterprise information according to the comprehensive scores;
and determining the enterprise information to be output according to the sequencing result, and outputting the enterprise information to be output, wherein the comprehensive score of the enterprise information to be output is higher than that of the enterprise information which is not output.
9. An enterprise information-based search apparatus, comprising: a memory, a processor and an enterprise information based search program stored on the memory and executable on the processor, the enterprise information based search program when executed by the processor implementing the steps of the enterprise information based search method as claimed in any one of claims 1 to 8.
10. A computer storage medium, characterized in that the computer storage medium has stored thereon an enterprise information based search program, which when executed by a processor implements the steps of the enterprise information based search method according to any one of claims 1 to 8.
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| 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 |
| CN110795471B (en) * | 2019-10-31 | 2022-06-07 | 北京金堤科技有限公司 | Data matching method and device, computer readable storage medium and electronic equipment |
| 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 |
| 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 |
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| CN108959644B (en) * | 2018-07-27 | 2020-04-14 | 北京字节跳动网络技术有限公司 | Search ranking method and device, computer equipment and storage medium |
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| 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 |
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