CN115329039A - Recruitment enterprise searching method, system, electronic equipment and storage medium - Google Patents
Recruitment enterprise searching method, system, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN115329039A CN115329039A CN202210944721.2A CN202210944721A CN115329039A CN 115329039 A CN115329039 A CN 115329039A CN 202210944721 A CN202210944721 A CN 202210944721A CN 115329039 A CN115329039 A CN 115329039A
- Authority
- CN
- China
- Prior art keywords
- enterprise name
- recruitment
- enterprise
- search
- name
- 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
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/3332—Query translation
- G06F16/3338—Query expansion
-
- 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
- G06F16/9532—Query formulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
- G06Q10/1053—Employment or hiring
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Computational Linguistics (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Mathematical Physics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to a method, a system, electronic equipment and a storage medium for searching for recruiting enterprises, wherein the method comprises the steps of obtaining enterprise name search words provided by job hunting users; matching the recruitment enterprise name in the database for the enterprise name search term; in response to the enterprise name search term being matched with a recruitment enterprise name, taking the recruitment enterprise name as a search result; responding to that the enterprise name search word is not matched with the recruitment enterprise name, and matching a corresponding recruitment enterprise name synonym for the enterprise name search word in the recruitment enterprise name synonym group; and responding to the recruitment enterprise name synonym corresponding to the enterprise name search term, and inquiring a corresponding table of the recruitment enterprise name synonym and the recruitment enterprise name to obtain a corresponding recruitment enterprise name. According to the invention, the matching precision and the matching efficiency of the recruitment enterprise can be improved when the job search is carried out on the company name search word input by the user.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a recruitment enterprise searching method, a recruitment enterprise searching system, electronic equipment and a storage medium.
Background
In the current numerous enterprise human recruitment modes, a recruiter entrusts a recruitment platform to publish a recruitment notice on the platform is the most common recruitment mode, and most of job seekers can search for a mood on the recruitment platform based on the recruitment mode. One of the search methods commonly used by job seekers is to find the recruitment position information of the enterprise on the recruitment platform by using the company name as a search word. And searching all position information released by the enterprises matched with the company name in a network talent database of the recruitment platform by a search engine of the recruitment platform according to the company name input by the job seeker. For job seekers with specific job hunting targets, the method for directly searching the target enterprises is high in searching efficiency. However, in fact, many job seekers cannot accurately provide the company name of the target enterprise, the company name search words input by the job seeker on the recruitment platform are usually the brand name, company abbreviation, company alias, and the like of the company, and the name of the recruitment enterprise recorded in the netbook database of the recruitment platform is usually the registered name of the industrial company provided by the recruitment enterprise. Even though a great amount of different job recruitment information of the mental apparatus enterprises of the job seeker is stored in the netbook database, the job seeker cannot search the recruitment information of the mental apparatus enterprises due to the fact that the company name search words input by the job seeker are not equal to the enterprise names in the netbook database, resources of a recruitment platform are wasted, and user requirements are not met.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a method, a system, electronic equipment and a storage medium for searching for recruiting enterprises, which can improve the matching precision and the matching efficiency of the recruiting enterprises when a user inputs a company name search word for position search.
In order to solve the above technical problems, according to an aspect of the present invention, there is provided a recruitment enterprise search method, comprising:
acquiring enterprise name search words provided by job hunting users;
matching the recruitment enterprise name in the database for the enterprise name search term;
responding to the enterprise name search word matched with the recruitment enterprise name, and taking the recruitment enterprise name as a search result;
responding to that the enterprise name search word is not matched with the recruitment enterprise name, and matching a corresponding recruitment enterprise name synonym for the enterprise name search word in the recruitment enterprise name synonym group;
responding to the recruitment enterprise name synonym corresponding to the enterprise name search word, and inquiring a corresponding table of the recruitment enterprise name synonym and the recruitment enterprise name to obtain a corresponding recruitment enterprise name; and
and taking the recruitment enterprise name obtained by query as a search result.
According to another aspect of the present invention, there is provided a recruitment enterprise search system comprising:
the system comprises a search term acquisition module, a search term acquisition module and a search term generation module, wherein the search term acquisition module is configured to acquire enterprise name search terms provided by job searching users;
the first matching module is connected with the search term acquisition module and is configured to match the recruitment enterprise name in the enterprise name search term matching database;
the second matching module is connected with the first matching module and is configured to match corresponding recruitment enterprise name synonyms for the enterprise name search words in the recruitment enterprise name synonym group when the first matching module does not match the recruitment enterprise name for the enterprise name search words;
the query module is connected with the second matching module and is configured to query the corresponding table of the recruitment enterprise name synonym and the recruitment enterprise name to obtain a corresponding recruitment enterprise name when the recruitment enterprise name synonym corresponding to the enterprise name search term is matched by the second matching module; and
and the search result output module is respectively connected with the first matching module and the query module and is configured to take the recruitment enterprise name obtained when the first matching module is successfully matched or the recruitment enterprise name obtained by the query of the query module as a search result.
According to another aspect of the present invention, there is provided an electronic device comprising a processor and a memory, the memory having a set of program instructions stored thereon, the aforementioned method of recruiting an enterprise search being implemented when the set of program instructions on the memory is executed by the processor.
According to another aspect of the invention, a computer readable storage medium is provided, wherein the computer storage medium has stored thereon computer program instructions that, when executed by a processor, implement the aforementioned method of recruiting an enterprise search.
According to another aspect of the present invention, there is provided a computer program product comprising computer program instructions which, when executed by a processor, implement the aforementioned recruitment enterprise search method.
By the adoption of the method for searching for the recruitment enterprise, even if the enterprise name input by the job hunting user is not a regular name provided by the recruitment enterprise, the enterprise name to be searched by the user can be accurately determined, and the position information issued by the enterprise is searched for, so that the matching accuracy is improved.
Drawings
Preferred embodiments of the present invention will now be described in further detail with reference to the accompanying drawings, in which:
fig. 1 is a flowchart of a recruitment information search method according to one embodiment of the invention;
fig. 2 is a flow diagram of a recruiting enterprise search method according to one embodiment of the present invention;
FIG. 3 is an acquisition according to an embodiment of the invention a method flow chart of recruiting an enterprise name synonym phrase;
fig. 4 is a functional block diagram of a recruitment enterprise search system according to one embodiment of the invention;
FIG. 5 is a functional block diagram of a search term acquisition module according to one embodiment of the present invention;
FIG. 6 is a functional block diagram of a query module according to one embodiment of the present invention;
fig. 7 is a functional block diagram of a recruitment enterprise search system according to another embodiment of the present invention;
fig. 8 is a functional block diagram of a recruitment enterprise search system according to yet another embodiment of the present invention;
FIG. 9 is a functional block diagram of a synonym collection module, according to one embodiment of the present disclosure;
fig. 10 is a functional block diagram of a recruitment platform according to one embodiment of the present invention; and
fig. 11 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the following detailed description, reference is made to the accompanying drawings that form a part hereof and in which is shown by way of illustration specific embodiments of the application. In the drawings, like numerals describe substantially similar components throughout the different views. Various specific embodiments of the present application are described in sufficient detail below to enable those skilled in the art to practice the teachings of the present application. It is to be understood that other embodiments may be utilized and structural, logical or electrical changes may be made to the embodiments of the present application.
Fig. 1 is a flowchart of a recruitment information search method according to one embodiment of the invention. In this embodiment, when a job hunting user searches for job position recruitment information of a psychographic enterprise, a general direct operation manner is to input an enterprise name as a search word in a recruitment platform, receive the enterprise name search word input by the job hunting user in the recruitment platform, search for a recruitment position of the psychographic enterprise for the job hunting user by using a search engine, and present the position to the job hunting user. The method specifically comprises the following processing steps:
step S1, determining recruitment enterprises based on enterprise name search words input by job hunting users. And a plurality of recruitment enterprises and the post information released by the recruitment enterprises are stored and maintained in the database of the recruitment platform. In one embodiment, the database stores a recruitment enterprise list, a recruitment enterprise name and its synonym correspondence table, a group/head office and its subordinate enterprise/branch correspondence table, etc. in the form of a list.
And S2, acquiring the position information released by the recruitment enterprise. In one embodiment, the database stores a position list and the like released by a recruitment enterprise in a list form, and when the recruitment enterprise is determined, all position information released by the enterprise can be obtained by inquiring the position list through the name of the recruitment enterprise.
And S3, sequencing the acquired positions according to the sequencing conditions. An enterprise, particularly a relatively large enterprise, typically publishes a plurality of job information, and in some embodiments, when job conditions are entered by a job hunting user, the captured jobs are ranked according to a degree of match with the job conditions. In other embodiments, when the job hunting user does not input any job condition, the acquired jobs are ranked according to the recruitment number, the delivery number of the last week and the like as ranking conditions.
And S4, providing the sorted position information to the job hunting user. And the recruitment platform provides the sequenced job information as a result to the job hunting users.
In the step S1, determining the recruitment enterprise is a key step of searching accurate position information for the job hunting user. The invention provides a method for accurately searching for recruitment enterprises, as shown in fig. 2, fig. 2 is a flow chart of a method for searching for recruitment enterprises according to an embodiment of the invention, and the method specifically comprises the following steps:
and step S11, acquiring enterprise name search words provided by job hunting users. In order to avoid a search matching failure caused by an input error, which may occur when a job-seeking user inputs a business name search term, for example, some characters, wrongly written characters, etc., the method further includes the following steps when receiving the business name search term provided by the job-seeking user: firstly, cleaning the enterprise name search word in a data format, and filtering out non-character characters from the enterprise name search word, wherein the non-character characters are punctuation marks such as ",": "," & ","! "and spaces, etc. And then, performing semantic analysis on the enterprise name search word, for example, performing word segmentation, determining whether the segmented participle has semantics, determining and deleting abnormal words/words therein according to the semantics, or adding corresponding words/words. In one embodiment, the abnormal word/word is, for example, a repeated word such as a word "letter" obviously more than one in the "xx letter information technology company" business name search word input by the job-seeking user, which may be caused by an input error of the job-seeking user. For example, a search word of the name of an enterprise, such as "AlibaChina" input by a job-seeking user obviously loses a word of "Ba", so that the search word needs to be supplemented with a word of "Ba", and the word is changed into the word of "AlibaChina", and the like.
And S12, matching the recruitment enterprise name in the database for the enterprise name search word. In one embodiment of the invention, in order to accurately provide the recruitment enterprise name, an accurate matching strategy is adopted, namely during matching, the matching is determined to be successful only when the enterprise name search word is completely consistent with the recruitment enterprise name in the database, otherwise, the matching is determined to be failed.
And S13, judging whether the recruitment enterprise name is matched, namely judging whether the matching is successful, if so, taking the matched recruitment enterprise name as a search result and finishing the enterprise search process in step S14. If no match is found, step S15 is performed. For example, when the job-seeking user inputs the enterprise name search word "alisba limited", the recruitment enterprise names recorded in the database are "alisba (china) network technology limited" and "alisba (china) limited", and it is determined that the matching fails because the enterprise name search word "alisba limited" input by the job-seeking user is not identical to the recruitment enterprise names in the two databases, and then step S15 should be performed. For another example, when the job hunting user inputs the enterprise name search term "biddi car ltd", which is identical to the recruitment enterprise name "biddi car ltd" in the database, and it is determined that the matching is successful, the job hunting user takes "biddi car ltd" as the search result in step S14, and ends the enterprise search process.
And S15, identifying and removing interference words in the enterprise name search words. The term of interference is, for example, "limited", "stock", "responsibility", "headquarters", "head office", "subsidiary", "parent", "branch", "company", "group", "international", etc. In this step, the aforementioned words in the business name search word input by the job-seeking user are removed as the interfering words, for example, when the business name search word input by the job-seeking user is "Ali Barba Limited", the interfering words "Limited" and "company" are removed to obtain "Ali Barba".
And S16, matching corresponding recruitment enterprise name synonyms for the enterprise name search words in the recruitment enterprise name synonym group. In one embodiment, the database stores the names of the recruitment enterprises and the corresponding table of synonyms thereof, wherein one of the names of the recruitment enterprises corresponds to one or more synonyms of alternative names, acronyms, brand names, colloquials and the like of the enterprise. And the recruitment enterprise names in the corresponding table are the recruitment enterprise names in the recruitment enterprise list in the database. In order to improve the matching precision, in one embodiment of the invention, an accurate matching strategy is adopted to match the recruitment enterprise name synonym, namely the enterprise name synonym is determined to be successfully matched only when the enterprise name search term is completely the same as the recruitment enterprise name synonym, otherwise the matching is considered to be failed. For example, for the business name "alibaba (china limited)" in the database recruitment business list, the corresponding synonyms include "alibaba", "ali", "ari institute", "naobao", "paypal", "tiancat supermarket", "1688", "global tolls", "alioxpress", and so on. In the foregoing embodiment, when the enterprise name search word input by the job-seeking user is "arizaba limited", the interference word is removed in step S15 to obtain the enterprise name search word "arizaba", and the match between the enterprise name search word and the enterprise name synonym in the enterprise name synonym group can be known to be completely the same as the synonym "arizaba" of "arizaba (china) limited", and at this time, the match is confirmed to be successful.
And S17, judging whether the recruitment enterprise name synonym corresponding to the enterprise name search word is matched, if so, executing the step S18, and if not, executing the step S19.
And S18, inquiring the corresponding table of the recruitment enterprise name synonym and the recruitment enterprise name to obtain a corresponding recruitment enterprise name, taking the acquired recruitment enterprise name as a search result, and ending the enterprise search process. In the embodiment that the enterprise name search word input by the job hunting user is "arbiba limited", when it is determined that the synonym is successfully matched, the corresponding table of the enterprise name synonym and the recruitment enterprise name is queried, so that the recruitment enterprise name "arbiba (china) limited" in the database recruitment enterprise list can be obtained.
And S19, carrying out fuzzy matching on the enterprise name search word and the recruitment enterprise name in the database, taking the recruitment enterprise name with the highest matching degree as a search result, and ending the enterprise search process. The fuzzy matching is used for calculating the similarity between the enterprise name search Word and the recruitment enterprise name in the database, for example, one of the trained Word2Vec models is used for calculating the enterprise name search Word vector and the recruitment enterprise name vector respectively, and then the difference between the two is calculated. And when the difference between the two is smaller, the matching degree is higher, so that the one or more recruitment enterprise names with the highest matching degree rank are used as the search result according to the sorting of the matching degree after the calculation of the vector difference. The Word2Vec model is, for example, a statistical language model, an N-gram model, a neural probabilistic language model, a Skip-gram model, or the like.
In the enterprise name searching and matching process, the recruitment enterprise name synonym is set, so that the recruitment enterprise names in the database can be accurately matched even if the recruitment enterprise name search terms input by the job hunting users are not the formal names of the recruitment enterprises recorded in the database, and the matching efficiency and the matching accuracy are high.
When it is determined in the step S17 that the recruitment enterprise name synonym corresponding to the enterprise name search term is not currently matched, further identifying whether city information exists in the enterprise name search term used in the current matching, and if city information exists in the enterprise name search term used currently, deleting the city information in the enterprise name search term to obtain a second search term; and then returning to the step S16 to match the corresponding recruitment enterprise name synonym for the second search term in the recruitment enterprise name synonym group. In one embodiment, when the database of the recruitment platform includes a plurality of databases, for example, the databases are divided into different recruitment platform sub-databases according to cities, when the enterprise name search term includes city information, matching is preferentially performed in the recruitment platform sub-database of the same city, and if the enterprise name search term does not match the city information in the recruitment platform sub-database of the same city, the matching is performed in other sub-databases after the city information in the enterprise name search term is deleted.
In one embodiment, the enterprise name synonym group includes two types of synonyms, one type is a single enterprise name synonym group, that is, a plurality of synonyms are set for a single enterprise name, and correspondingly, the correspondence table between the recruitment enterprise name synonym and the recruitment enterprise name is a correspondence table between the recruitment enterprise name synonym and the single recruitment enterprise name, which is referred to as a first correspondence table for short; the other type is an enterprise group name synonym phrase, namely, a plurality of synonyms are set for an enterprise group/general company name, correspondingly, the correspondence table of the recruitment enterprise name synonym and the recruitment enterprise name is a correspondence table of the recruitment enterprise name synonym and the recruitment enterprise group/general company name, which is referred to as a second correspondence table for short, and at this time, the correspondence table further comprises a third correspondence table, namely, a correspondence table of the recruitment enterprise group/general company name and the subordinate enterprise/subsidiary company name.
In the step S18, when the correspondence table between the recruitment enterprise name synonym and the recruitment enterprise name is queried, and when the current recruitment enterprise name synonym is located in the first correspondence table, a recruitment enterprise name is obtained through query. And if the synonym of the current recruitment enterprise name is positioned in the second corresponding table, inquiring to obtain the name of the enterprise group/general company, and further inquiring the third corresponding table at the moment to obtain the names of all subordinate companies/subsidiaries of the enterprise group/general company.
For example, the synonymous phrase "byte jitter" for the enterprise group name is "jittering sound, tiktok, today's headline, jittering group, bytedace, byte jitter, watermelon short video, toutiao, know car emperor, suzhou today's view culture media", etc., the enterprise group name "byte jitter" and its synonymous phrase constitute the second correspondence table, and the enterprise group name "byte jitter" and its subordinate company "beijing jittering sound information service limited company" and "jittering view (beijing) limited company" constitute the third correspondence table. When the job-seeking user inputs a business name search word of 'tremble', the synonym 'tremble' is matched in the second correspondence table, so that the business group name is determined: the byte is jumped, and then a third corresponding table is inquired to obtain two subordinate companies, namely a Beijing tremble information service company and a tremble view boundary (Beijing) company, which serve as search results and are provided for the step S2 to obtain position information released by the two enterprises.
In order to improve the matching accuracy, the recruitment enterprise name synonym phrase needs to be continuously updated and supplemented. Fig. 3 is a flowchart illustrating a method for obtaining synonym phrases of names of recruiting enterprises according to an embodiment of the present invention, which includes the following steps:
and S51, collecting the behavior data of enterprise search performed by the job hunting users. For example, when a job hunting user searches on a recruitment platform, the search terms and the corresponding search results used by the job hunting user are recorded, where the search results include job position information and corresponding recruitment enterprises, and the behavior operations of the user on the search results, such as browsing, viewing job position information, delivering resumes and other behavior data, certainly also include the occurrence time of the behaviors. In one embodiment, data is collected for enterprise searching by job-seeking users over a fixed period of time, such as a month or week of data.
And S52, extracting enterprise name search words input by the user and enterprise names determined by the user from the behavior data. For example, the job hunting user analyzes a search word used by the job hunting user and determines whether the search word is a business name, in one embodiment, the recruitment platform provides various types of search fields, such as a job title, a business name, a place and the like, and the job hunting user selects or inputs the search word in the corresponding field when searching. And the recruitment platform determines whether the search term is the enterprise name according to the field name or the category of the search term. In another embodiment, the recruitment platform provides a trained business name prediction model to predict search terms entered by job hunting users to determine whether the search terms are business names. And obtaining the corresponding recruitment enterprise name according to operations of job information viewing, resume delivery and the like of the job hunting user on the search result. Further, in one embodiment, the similarity between the enterprise name input by the user and the recruitment enterprise name is calculated, when the similarity is greater than a threshold value, it is determined that the currently obtained recruitment enterprise name is consistent with the input enterprise name, and it is determined that valid data is extracted, otherwise, it is determined that the currently obtained recruitment enterprise name is consistent with the input enterprise name, and thus the data extraction result is discarded.
And step S53, generating a synonym pair by the enterprise name search word and the enterprise name determined by the user. And when the effective data is extracted, generating a synonym pair by the enterprise name search word and the enterprise name determined by the user. The synonym pair may be obtained by processing the data item by item through step S52 and step S53 after the data in a fixed time period is collected, or may be obtained by performing step S52 and step S53 every time a new behavior data is collected during the collection process.
In step S54, the number of occurrences of a synonym pair in a predetermined time is counted. When all the data of one fixed period are processed according to step S52 and step S53, the number of times one synonym pair appears in the fixed period is counted, that is, the word frequency of the synonym pair is calculated.
And S55, judging whether the occurrence frequency of the synonym pair in the statistical period is greater than or equal to a threshold value, if so, adding the synonym pair to a corresponding table of the recruitment enterprise name synonym and the recruitment enterprise name in S56. If not, the synonym pair is discarded at step S57. When the word frequency of a synonym pair is greater than the threshold value, the expression that the enterprise name search word used by the job hunting user is familiar to the standard name of the recruitment enterprise is expressed by most users, so that the synonym can be used as the synonym of the standard name of the recruitment enterprise.
And step S58, judging whether the non-counted synonym pair exists, if so, returning to the step S54, and if not, ending.
The aforementioned processing procedure for obtaining the synonym group of the recruitment enterprise name can be performed periodically, for example, once every month, and when the processing procedure is performed, the determined synonym pair is removed from the synonym pairs obtained in the current period, for example, when the synonym pair added to the synonym group is obtained in the current period, the processing procedure does not need to be repeated, and the synonym pair is deleted from the synonym pair to be currently processed, so that the data processing amount is reduced.
According to another aspect of the present invention, the present invention further provides a recruitment enterprise search system, as shown in fig. 4, which is a schematic block diagram of a recruitment enterprise search system according to an embodiment of the present invention, wherein the system 100 includes a search term obtaining module 1, a first matching module 2, a second matching module 3, a query module 4 and a search result output module 5. The search term obtaining module 1 is configured to obtain an enterprise name search term provided by a job hunting user, and send the enterprise name search term to the first matching module 2 after obtaining the enterprise name search term provided by the job hunting user. The first matching module 2 is connected to the search term obtaining module 1, and when receiving the enterprise name search term sent by the search term obtaining module 1, matches the recruitment enterprise name in the database 200 according to the enterprise name search term. And when the recruitment enterprise name is matched, sending the recruitment enterprise name to the search result output module 5, and when the recruitment enterprise name is not matched, sending a notification to the second matching module 3. The second matching module 3 is connected with the search term obtaining module 1 and the first matching module 2, and when receiving a notification from the first matching module 2 that the enterprise name search term is not matched with the recruitment enterprise name, obtains the enterprise name search term from the search term obtaining module 1, matches a corresponding recruitment enterprise name synonym for the enterprise name search term in the recruitment enterprise name synonym group, and sends a notification to the query module 4 if the matching is successful, that is, the same synonym is matched. The query module 4 is connected with the second matching module 3, and when receiving the notification sent by the second matching module 3, queries the corresponding table of the recruitment enterprise name synonym and the recruitment enterprise name according to the recruitment enterprise name synonym corresponding to the enterprise name search term in the notification to obtain a corresponding recruitment enterprise name, and sends the recruitment enterprise name to the search result output module 5. The search result output module 5 is respectively connected with the first matching module 2 and the query module 4, and takes the recruitment enterprise name obtained when the first matching module is successfully matched or the recruitment enterprise name obtained by the query of the query module as a search result.
In one embodiment, as shown in fig. 5, the search term acquisition module 1 includes a receiving unit 11, a format cleansing unit 12, and a content cleansing unit 13. The receiving unit 11 is configured to receive an enterprise name search word provided by a job-seeking user, for example, determine that a current search word is an enterprise name search word according to a field name when the user inputs the search word, or predict the search word input by the job-seeking user through a trained enterprise name prediction model to determine whether the search word is an enterprise name. After the receiving unit 11 obtains the enterprise name search term, it sends it to the format cleaning unit 12. The format cleaning unit 12 is connected to the receiving unit 11, and is configured to perform data format cleaning on the enterprise name search term, filter out non-text characters from the enterprise name search term, and send the enterprise name search term with the filtered non-text characters to the content cleaning unit 13. The content cleaning unit 13 is connected to the format cleaning unit 12, and is configured to identify and remove an abnormal word/phrase or add a corresponding word/phrase, for example, remove an excessive unrelated word/phrase or add a missing corresponding word/phrase. In one embodiment, the business name search terms are semantically analyzed. For example, the word segmentation is firstly carried out, then the relation among the words is determined according to the semantic features, whether the words are more words or less words or not is determined based on the relation among the words, and what the words are less words or less words is determined according to the characteristic that the current search word is the name of the enterprise. This process may be implemented in one embodiment by one or more trained language models, machine learning models. The enterprise name search term cleaned by the content cleaning unit 13 is sent to the first matching module 2. When the first matching module 2 fails to match, the content cleaning unit 13 of the search term obtaining module 1 is notified, and at this time, the content cleaning unit 13 identifies and removes interfering terms, such as "limited" and "company" and other words. In one embodiment, the system stores an interference word list, and the content cleaning unit 13 matches interference words in the interference word list with words in the current business name search word respectively to identify whether there are interference words.
Further, the search term obtaining module further includes a search term adjusting unit 14, which is connected to the content cleaning unit 13 and the second matching module 3, when the second matching module unit 3 fails in matching and the content cleaning unit 13 identifies that the enterprise name search term includes city information, the search term adjusting unit 14 deletes the city information in the enterprise name search term to obtain a second search term, and sends the second search term to the second matching module 3, and the second matching module 3 performs matching again according to the second search term.
As shown in fig. 6, the query module 4 further includes a first query unit 41 and a second query unit 42. When the second matching module 3 matches the enterprise name synonym, the enterprise name synonym is sent to the first query unit 41, and the first query unit 41 queries a first correspondence table of the recruitment enterprise name synonym and a single recruitment enterprise name and a second correspondence table of the recruitment enterprise name synonym and the recruitment enterprise group/general company name based on the enterprise name synonym. When a single recruitment enterprise name is obtained by querying the first corresponding table, sending the single recruitment enterprise name to the search result output module 5; and when the first query unit queries the second corresponding table to obtain the names of the recruitment enterprise group/general company, sending the names of the recruitment enterprise group/general company to the second query unit. The second query unit 42 is connected to the first query unit 41, and queries a third correspondence table between the recruitment enterprise group/total company name and the subordinate enterprises/subsidiaries thereof according to the recruitment enterprise group/total company name to obtain a plurality of subordinate enterprises/subsidiaries of the recruitment enterprise group/total company, and sends the names to the search result output module 5.
Fig. 7 is a functional block diagram of a recruitment enterprise search system according to another embodiment of the present invention, further comprising a third matching module 6 connected to the second matching module 2, for sending a notification to the third matching module 6 when the second matching module 2 fails to match, and providing the enterprise name search term to the third matching module 6. And the third matching module 6 performs fuzzy matching on the enterprise name search word and the recruitment enterprise name in the database to obtain one or more recruitment enterprise names with the highest matching degree. Correspondingly, the search result output module 5 is connected with the third matching module 6, and takes one or more recruitment enterprise names with the highest matching degree as a search result.
Fig. 8 is a functional block diagram of a recruitment enterprise search system according to another embodiment of the invention further comprising a synonym collection module 7, as shown in fig. 9, comprising at least a behavior data collection unit 71, a synonym pair extraction unit 72, a term frequency statistics unit 73, and a synonym collection unit 74. The behavior data collecting unit 71 collects behavior data of enterprise search performed by job hunting users; the synonym pair extracting unit 72 is connected to the behavior data collecting unit 71, and is configured to extract an enterprise name search word input by a user and an enterprise name determined by the user from user behavior data, and generate a synonym pair by using the enterprise name search word and the enterprise name determined by the user; the word frequency counting unit 73 is connected to the synonym pair extracting unit 72, and is configured to count the occurrence frequency of the synonym pair in a predetermined time. The synonym collecting unit 74 is connected to the word frequency counting unit 73, and is configured to add the synonym pair to the correspondence table of the recruitment enterprise name synonym and the recruitment enterprise name in the database 200 when the occurrence frequency of the synonym pair in a predetermined time is greater than or equal to a threshold value.
Fig. 10 is a functional block diagram of a recruitment platform according to one embodiment of the present invention. In the present embodiment, the recruitment platform includes the enterprise search system 100, the database 200, the search engine 300, and the interactive interface 400 of the previous embodiments. The database 200 stores various data, such as collected user behavior data including behavior occurrence time, behavior types, such as viewing, browsing, resume delivery and the like, job position information corresponding to behaviors, and a recruitment enterprise name for issuing the job position; the stored data also comprises a recruitment enterprise list, a recruitment enterprise name and synonym phrase corresponding table thereof, a group/general company and subordinate enterprise/branch company corresponding table thereof and the like which are stored in a list form. The interactive interface 400 provides the job-seeking user with various search fields, such as job title, industry title, business title, location, etc., for entering search terms, and the job-seeking user may select the fields, select existing options in the selected fields, or enter search terms. The interactive interface 400 also displays the search results to the job-seeking user, such as displaying job information searched by the search engine 300 in the form of a list. The interactive interface 400 is connected with the search engine 300, when a job hunting user selects a search field and selects an option or inputs a search word, the search field is sent to the search engine 300, the search engine 300 judges the category of the search option after receiving the content of the search option or the search word, if the search word is an enterprise name search word input by the user, the search word is sent to the enterprise search system 100, one or more recruitment enterprise names which are consistent with the enterprise name search word input by the job hunting user are determined by the enterprise search system 100 and then sent to the search engine 300, the search engine 300 retrieves the determined job position information issued by the recruitment enterprise according to a corresponding algorithm, sorts the retrieved job position information according to the number of issued positions or the number of delivered positions in the last week and the like as result sorting conditions, and sends the job position information to the interactive interface 400 to be presented to the job hunting user.
Fig. 11 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention, where the electronic device can be implemented as a server serving as a server, and includes a processor 601 and a memory 602, where the memory 602 stores a set of program instructions, and the aforementioned recruitment enterprise search method is implemented when the processor 601 executes the set of program instructions on the memory 602.
Specifically, the processor 601 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured as one or more Integrated circuits implementing embodiments of the present invention.
The memory may include Read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors), it is operable to perform the recruitment enterprise search method provided by the present invention.
In one example, the electronic device may also include a communication interface 603 and a bus 604. As shown in fig. 11, the processor 601, the memory 602, and the communication interface 603 are connected via a bus 604 to complete communication therebetween. The electronic device in the embodiment of the invention can be a server or other computing devices, and can also be a cloud server.
The communication interface 603 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present invention.
The present invention also provides a computer readable storage medium having stored thereon computer program instructions that, when executed by a processor, implement the aforementioned recruitment enterprise search method of the aforementioned embodiments. The computer readable storage medium may be any medium that can tangibly contain or store computer-executable instructions for use by or in connection with an instruction execution system, apparatus, or device. The storage medium may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium. The non-transitory computer readable storage medium may include, but is not limited to, magnetic storage devices, optical storage devices, and/or semiconductor storage devices. Corresponding embodiments of such storage devices include, for example, magnetic disks, optical disks based on CD, DVD, or blu-ray technology, and persistent solid state memories such as flash memories, solid state drives, and the like.
The present invention also provides a computer program product comprising computer program instructions which, when executed by a processor, implement the aforementioned recruitment enterprise search method in the aforementioned embodiments. Including but not limited to forms such as application installation packages published on websites, application stores, application plugins, applets that may run in certain applications, and the like.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps, after comprehending the spirit of the present invention.
The functional blocks shown in the above-described structural block diagrams, schematic block diagrams, and the like may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. The machine-readable medium may include non-transitory computer-readable storage media, including, for example, electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present invention are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based computer instructions which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The above embodiments are provided only for illustrating the present invention and not for limiting the present invention, and those skilled in the art can make various changes and modifications without departing from the scope of the present invention, and therefore, all equivalent technical solutions should fall within the scope of the present invention.
Claims (17)
1. A recruitment enterprise search method comprising:
acquiring enterprise name search words provided by job hunting users;
matching the recruitment enterprise name in the database for the enterprise name search term;
in response to the enterprise name search term being matched with a recruitment enterprise name, taking the recruitment enterprise name as a search result;
responding to that the enterprise name search word is not matched with the recruitment enterprise name, and matching a corresponding recruitment enterprise name synonym for the enterprise name search word in the recruitment enterprise name synonym group;
responding to the recruitment enterprise name synonym corresponding to the enterprise name search word, and inquiring a corresponding table of the recruitment enterprise name synonym and the recruitment enterprise name to obtain a corresponding recruitment enterprise name; and
and taking the recruitment enterprise name obtained by query as a search result.
2. The method of claim 1, wherein the obtaining of the business name search terms provided by the job hunting user further comprises one or more of the following:
cleaning the data format of the enterprise name search word, and filtering non-character characters from the enterprise name search word; and
and performing semantic analysis on the enterprise name search words, and identifying and removing abnormal characters/words or adding missing characters/words from the enterprise name search words.
3. The method of claim 1, wherein when the enterprise name search term includes city information and no corresponding recruitment enterprise name synonym is matched for the enterprise name search term, deleting the city information in the enterprise name search term to obtain a second search term; and
and matching the corresponding recruitment enterprise name synonym for the second search term in the recruitment enterprise name synonym group.
4. The method of claim 1, wherein when no recruitment enterprise name is matched for the enterprise name search term, a distractor is identified and removed from the enterprise name search term prior to matching a corresponding recruitment enterprise name synonym for the enterprise name search term from the recruitment enterprise name synonym group.
5. The method of claim 1, wherein the correspondence table of the recruitment enterprise name synonym and the recruitment enterprise name is a first correspondence table of the recruitment enterprise name synonym and a single recruitment enterprise name; or the correspondence table of the recruitment enterprise name synonym and the recruitment enterprise name comprises a second correspondence table of the recruitment enterprise name synonym and the recruitment enterprise group/general company name and a third correspondence table of the recruitment enterprise group/general company name and the subordinate enterprise/sub company name;
correspondingly, when the matched recruitment enterprise name synonym corresponding to the enterprise name search term is in the first corresponding table, querying the first corresponding table to obtain a recruitment enterprise name; and when the matched recruitment enterprise name synonym corresponding to the enterprise name search word is in the second corresponding table, further querying the third corresponding table to obtain a plurality of subordinate enterprise/subsidiary company names of the recruitment enterprise group/head company.
6. The method of any of claims 1-5, wherein when the enterprise name search term is matched in the recruiting enterprise name synonym group, a successful match is determined when the enterprise name search term is the same as the recruiting enterprise name synonym.
7. The method of claim 6, further comprising:
determining that the matching fails when the enterprise name search term is different from the recruitment enterprise name synonym;
responding to the matching failure, and performing fuzzy matching on the enterprise name search word and the recruitment enterprise name in the database; and
and taking one or more recruitment enterprise names with the highest matching degree as a search result.
8. The method of claim 6, further comprising:
collecting behavior data of enterprise search performed by job hunting users;
extracting enterprise name search words input by job hunting users and recruitment enterprise names determined by the job hunting users from the behavior data;
generating a synonym pair by the enterprise name search word and the recruitment enterprise name determined by the job hunting user;
counting the occurrence times of the synonym pairs in a counting period; and
and in response to the number of occurrences of the synonym pair in the statistical period being greater than or equal to a threshold, adding the synonym pair to a correspondence table of the recruitment enterprise name synonym and the recruitment enterprise name.
9. A recruitment enterprise search system comprising:
the system comprises a search term acquisition module, a search term acquisition module and a search term generation module, wherein the search term acquisition module is configured to acquire enterprise name search terms provided by job searching users;
the first matching module is connected with the search term acquisition module and is configured to match the recruitment enterprise name in the enterprise name search term matching database;
the second matching module is connected with the first matching module and is configured to match corresponding recruitment enterprise name synonyms for the enterprise name search words in the recruitment enterprise name synonym group when the first matching module does not match the recruitment enterprise name for the enterprise name search words;
the query module is connected with the second matching module and is configured to query the corresponding table of the recruitment enterprise name synonym and the recruitment enterprise name to obtain a corresponding recruitment enterprise name when the recruitment enterprise name synonym corresponding to the enterprise name search word is matched by the second matching module; and
and the search result output module is respectively connected with the first matching module and the query module and is configured to take the recruitment enterprise name obtained when the first matching module is successfully matched or the recruitment enterprise name obtained by the query of the query module as a search result.
10. The system of claim 9, wherein the search term acquisition module comprises:
the system comprises a receiving unit, a searching unit and a searching unit, wherein the receiving unit is configured to receive enterprise name searching words provided by job searching users;
a format cleaning unit connected with the receiving unit and configured to perform data format cleaning on the enterprise name search term and filter non-character characters from the enterprise name search term; and
the content cleaning unit is connected with the format cleaning unit, is configured to perform semantic analysis on the enterprise name search words, identifies and removes abnormal words/words or supplements corresponding words according to semantic analysis results, and sends the abnormal words/words or supplements corresponding words to the first matching module; and identifying and removing the interference words when the first matching module fails to match, and sending the interference words to the second matching module.
11. The system of claim 10, wherein the search term acquisition module further comprises:
and the search word adjusting unit is connected with the content cleaning unit and the second matching module, and is configured to delete the city information in the enterprise name search words to obtain second search words and send the second search words to the second matching module for matching when the second matching module fails in unit matching and the content cleaning unit identifies that the enterprise name search words comprise the city information.
12. The system of claim 9, wherein the query module further comprises:
the first query unit is used for querying a first corresponding table of the recruitment enterprise name synonym and a single recruitment enterprise name and a second corresponding table of the recruitment enterprise name synonym and a recruitment enterprise group/general company name based on the matched enterprise name synonyms, and sending the first corresponding table to the search result output module when the single recruitment enterprise name is obtained by querying the first corresponding table; and
the second query unit is connected with the first query unit and sends the recruitment enterprise group/general company name to the second query unit when the first query unit queries the second corresponding table to obtain the recruitment enterprise group/general company name; the second query unit queries a third corresponding table of the recruitment enterprise group/general company name and the subordinate enterprises/subsidiary company names thereof according to the recruitment enterprise group/general company name to obtain a plurality of subordinate enterprise/subsidiary company names of the recruitment enterprise group/general company, and sends the subordinate enterprise/subsidiary company names to the search result output module.
13. The system of claim 9, further comprising:
the third matching module is connected with the second matching module and is configured to perform fuzzy matching on the enterprise name search word and the recruitment enterprise names in the database to obtain one or more recruitment enterprise names with the highest matching degree when the second matching module fails to match;
correspondingly, the search result output module is connected with the third matching module, and one or more recruitment enterprise names with the highest matching degree are used as the search result.
14. The system of claim 9, further comprising a synonym collection module that includes at least:
the behavior data collection unit is configured to collect behavior data of enterprise search conducted by job hunting users;
a synonym pair extracting unit connected to the behavior data collecting unit, configured to extract an enterprise name search word input by the job hunting user and a recruitment enterprise name determined by the job hunting user from the behavior data, and generate a synonym pair by using the enterprise name search word and the recruitment enterprise name determined by the job hunting user;
a word frequency counting unit connected with the synonym pair extracting unit and configured to count the occurrence frequency of the synonym pair in a counting period; and
a synonym collection unit connected to the word frequency statistics unit and configured to add the synonym pair to a correspondence table of a recruitment enterprise name synonym and a recruitment enterprise name when the number of occurrences of the synonym pair in a statistics period is greater than or equal to a threshold.
15. An electronic device comprising a processor and a memory, the memory having a set of program instructions stored thereon that, when executed by the processor, implement the method of recruiting an enterprise to search as set forth in any of claims 1-8.
16. A computer readable storage medium having computer program instructions stored thereon which, when executed by a processor, implement the recruitment enterprise search method of any one of claims 1-8.
17. A computer program product comprising computer program instructions which, when executed by a processor, implement the recruitment enterprise search method of any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210944721.2A CN115329039B (en) | 2022-08-08 | 2022-08-08 | Recruitment enterprise searching method and system, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210944721.2A CN115329039B (en) | 2022-08-08 | 2022-08-08 | Recruitment enterprise searching method and system, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115329039A true CN115329039A (en) | 2022-11-11 |
| CN115329039B CN115329039B (en) | 2023-08-04 |
Family
ID=83921881
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210944721.2A Active CN115329039B (en) | 2022-08-08 | 2022-08-08 | Recruitment enterprise searching method and system, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115329039B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116089729A (en) * | 2023-03-31 | 2023-05-09 | 浙江口碑网络技术有限公司 | Search recommendation method, device and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110276580A1 (en) * | 2010-05-06 | 2011-11-10 | Salesforce.Com, Inc. | Synonym supported searches |
| CN106354871A (en) * | 2016-09-18 | 2017-01-25 | 长城计算机软件与系统有限公司 | Similarity search method of enterprise names |
| US20190026701A1 (en) * | 2017-07-20 | 2019-01-24 | Adp, Llc | Matching job postings to job seekers |
| US20190066055A1 (en) * | 2017-08-25 | 2019-02-28 | Human Capital Innovations LLC | Recruitment and networking mobile application |
| CN110033240A (en) * | 2019-04-17 | 2019-07-19 | 北京网聘咨询有限公司 | The customized recruitment service system of enterprise based on recruitment platform |
| US20200311112A1 (en) * | 2019-03-28 | 2020-10-01 | Microsoft Technology Licensing, Llc | Semantic matching of search terms to results |
| CN111783467A (en) * | 2020-07-21 | 2020-10-16 | 致诚阿福技术发展(北京)有限公司 | Enterprise name identification method and device |
| CN112597284A (en) * | 2021-03-08 | 2021-04-02 | 中邮消费金融有限公司 | Company name matching method and device, computer equipment and storage medium |
| CN112613299A (en) * | 2020-12-25 | 2021-04-06 | 北京知因智慧科技有限公司 | Method and device for constructing enterprise synonym library and electronic equipment |
| AU2021102839A4 (en) * | 2021-05-09 | 2021-07-15 | Meena Agrawal | Conceptual framework of Artificial Intelligence in Human Resource Management |
-
2022
- 2022-08-08 CN CN202210944721.2A patent/CN115329039B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110276580A1 (en) * | 2010-05-06 | 2011-11-10 | Salesforce.Com, Inc. | Synonym supported searches |
| CN106354871A (en) * | 2016-09-18 | 2017-01-25 | 长城计算机软件与系统有限公司 | Similarity search method of enterprise names |
| US20190026701A1 (en) * | 2017-07-20 | 2019-01-24 | Adp, Llc | Matching job postings to job seekers |
| US20190066055A1 (en) * | 2017-08-25 | 2019-02-28 | Human Capital Innovations LLC | Recruitment and networking mobile application |
| US20200311112A1 (en) * | 2019-03-28 | 2020-10-01 | Microsoft Technology Licensing, Llc | Semantic matching of search terms to results |
| CN110033240A (en) * | 2019-04-17 | 2019-07-19 | 北京网聘咨询有限公司 | The customized recruitment service system of enterprise based on recruitment platform |
| CN111783467A (en) * | 2020-07-21 | 2020-10-16 | 致诚阿福技术发展(北京)有限公司 | Enterprise name identification method and device |
| CN112613299A (en) * | 2020-12-25 | 2021-04-06 | 北京知因智慧科技有限公司 | Method and device for constructing enterprise synonym library and electronic equipment |
| CN112597284A (en) * | 2021-03-08 | 2021-04-02 | 中邮消费金融有限公司 | Company name matching method and device, computer equipment and storage medium |
| AU2021102839A4 (en) * | 2021-05-09 | 2021-07-15 | Meena Agrawal | Conceptual framework of Artificial Intelligence in Human Resource Management |
Non-Patent Citations (2)
| Title |
|---|
| 刘春;刘丽娇;: "基于关键词规则匹配的企业客户行业分类研究", 广东通信技术, no. 09 * |
| 陈菲琪;王珂;: "基于NLP技术的企业名称智能分类系统设计", 信息与电脑(理论版), no. 02 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116089729A (en) * | 2023-03-31 | 2023-05-09 | 浙江口碑网络技术有限公司 | Search recommendation method, device and storage medium |
| CN116089729B (en) * | 2023-03-31 | 2023-07-18 | 浙江口碑网络技术有限公司 | Search recommendation method, device and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115329039B (en) | 2023-08-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107229662B (en) | Data cleaning method and device | |
| AU2014201516A1 (en) | Resolving similar entities from a transaction database | |
| CN106909669B (en) | Method and device for detecting promotion information | |
| CN112035599B (en) | Query method and device based on vertical search, computer equipment and storage medium | |
| WO2017091985A1 (en) | Method and device for recognizing stop word | |
| CN110134777B (en) | Question duplication eliminating method and device, electronic equipment and computer readable storage medium | |
| CN110888981B (en) | Title-based document clustering method and device, terminal equipment and medium | |
| CN110032622B (en) | Keyword determination method, keyword determination device, keyword determination equipment and computer readable storage medium | |
| CN115329039B (en) | Recruitment enterprise searching method and system, electronic equipment and storage medium | |
| CN111538903B (en) | Method and device for determining search recommended word, electronic equipment and computer readable medium | |
| CN105447169A (en) | Document normalization method, document searching method and corresponding apparatus | |
| CN108446333B (en) | Big data text mining processing system and method thereof | |
| US8862586B2 (en) | Document analysis system | |
| CN108287850B (en) | Text classification model optimization method and device | |
| CN110688572A (en) | Method for identifying search intention in cold starting state | |
| CN108804550B (en) | Query term expansion method and device and electronic equipment | |
| CN111324705A (en) | System and method for adaptively adjusting related search terms | |
| CN112733006B (en) | User portrait generation method, device and equipment and storage medium | |
| CN112579781A (en) | Text classification method and device, electronic equipment and medium | |
| CN114430829A (en) | Fault case processing method, system and computer readable medium | |
| CN111651987B (en) | Identity discrimination method and device, computer readable storage medium and electronic equipment | |
| CN114090643A (en) | Recruitment information recommendation method, device, equipment and storage medium | |
| CN114117031A (en) | List screening method, device, equipment and computer storage medium | |
| CN111382265B (en) | Searching method, device, equipment and medium | |
| CN113468339A (en) | Label extraction method, system, electronic device and medium based on knowledge graph |
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 |