WO2017215242A1 - Procédé et dispositif permettant de rechercher des curriculum vitae - Google Patents

Procédé et dispositif permettant de rechercher des curriculum vitae Download PDF

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Publication number
WO2017215242A1
WO2017215242A1 PCT/CN2016/113140 CN2016113140W WO2017215242A1 WO 2017215242 A1 WO2017215242 A1 WO 2017215242A1 CN 2016113140 W CN2016113140 W CN 2016113140W WO 2017215242 A1 WO2017215242 A1 WO 2017215242A1
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WIPO (PCT)
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related word
keyword
resume
words
word
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PCT/CN2016/113140
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English (en)
Chinese (zh)
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李贤�
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广州视源电子科技股份有限公司
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Publication of WO2017215242A1 publication Critical patent/WO2017215242A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462—Approximate or statistical queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/242—Query formulation
    • G06F16/2425—Iterative querying; Query formulation based on the results of a preceding query

Definitions

  • the invention relates to the field of computer information retrieval, and in particular to a resume search method and device.
  • the user provides related words, increasing the amount of words input by the user, and the user experience is poor; on the other hand, since the related words are provided by the user, there is a possibility that the related words: Language is used and expanded by people, and the expansion of words will change with time. The related words expanded by keywords will also follow the change. If the related words have delays in aging, and the related words are related to the key It will also change with time, and the resume retrieved with this related word is likely to not meet the current employer's demand for talent.
  • the embodiment of the invention provides a resume search method, which provides an accurate related word for the user and improves the accuracy of the resume search.
  • the set of the related words of the keyword and the set of the related words of the to-be-tested related words in the to-be-tested word set are respectively obtained from the vocabulary database, and each of the A comparison word set of the related words to be tested is compared with the set of related words to be tested to obtain the correlation degree between the related word set and each related word in the related word set, specifically:
  • the term containing the inquisitive related word is obtained from the term database according to the inquiring related word, and the inquiring related words are obtained
  • the entry is subjected to word segmentation and screening, and the control word set of the related words to be tested is obtained;
  • the to-be-relevant related word is a related word of the keyword, and the related word set is obtained; Wherein the absolute value is used as the relevance of the related word to the keyword.
  • the weight value of the keyword and the weight value of each of the related words when performing the resume search are calculated, specifically:
  • Base score formula Calculating a reference score S i of the i-th related word in the related word set; wherein r i is a correlation degree of the i-th related word in the related word set; r min is all in the related word set The minimum value of the relevance of the related words; r max is the maximum value of the relevance of all related words in the related word set;
  • the method further includes:
  • the keyword, the weight value occupied by the keyword, each of the related words, and the weight value of each of the related words are submitted to a search engine to Search for a resume in the database, specifically:
  • the keyword and each of the related words included in the resume are displayed in a highlighted form.
  • an embodiment of the present invention further provides a resume search device, including:
  • a receiving module configured to receive keywords used for searching for a resume from a resume database
  • a related word set obtaining module configured to acquire, from the vocabulary database, a set of related words of the keyword to be tested and a control word set of each of the to-be-reviewed related words in the to-be-tested related word set according to the keyword, And comparing the comparison word set of each of the to-be-tested related words with the to-be-tested related word set to obtain a correlation degree between the related word set and each related word in the related word set; wherein the correlation degree is expressed as The degree of relevance of related words to the keywords;
  • a weight calculation module configured to calculate, according to the relevance of each related word, a weight value of the keyword and a weight value of each of the related words when performing a resume search
  • a search module configured to submit, by the keyword, a weight value occupied by the keyword, each of the related words, and a weight value of each of the related words to a search engine, to use the resume database Search for a resume.
  • the related word set obtaining module specifically includes:
  • the related word set unit is configured to obtain an entry including the keyword from the vocabulary database according to the keyword, and perform word segmentation and screening on the term to obtain a related word set to be tested;
  • a comparison word set unit configured to acquire, for each of the to-be-recognized related words in the to-be-tested related word set, an entry including the to-be-tested related word from the entry database according to the inquiring related word, and Performing word segmentation and screening on the words of the related words to be tested, and obtaining a control word set of the related words to be tested;
  • a determining unit configured to determine, when the absolute value of the intersection of the comparison word set of the to-be-tested related word and the to-be-tested related word set is greater than a screening threshold, the related word to be tested is a related word of the keyword Obtaining a related word set; wherein the absolute value is used as a relevance of the related word to the keyword.
  • weight calculation module specifically includes:
  • Benchmark score calculation unit for formulating a score based on a benchmark Calculating a reference score S i of the i-th related word in the related word set; wherein r i is a correlation degree of the i-th related word in the related word set; r min is all in the related word set The minimum value of the relevance of the related words; r max is the maximum value of the relevance of all related words in the related word set;
  • a sum calculation unit for summing the reference scores of all the related words to obtain a total score of the reference scores sum
  • a related word weight calculation unit configured to determine whether a reference score of the i-th related word is greater than W A /n; if yes, according to a second weight formula Calculating a weight value W i of the i-th related word when performing a resume search; if not, according to the third weight formula Calculating a weight value W i of the i-th related word when performing a resume search; wherein n is a weight coefficient, and k is the number of related words in the related word set.
  • the weight calculation module further includes:
  • a mean value calculation unit configured to: according to the mean value formula, before determining whether the reference score of the i-th related word is greater than W A /n Calculate the mean of the benchmark score among them, The average of the correlations of all related words in the related word set;
  • a determining unit configured to determine, for the i-th related word in the related word set, whether the reference score S i of the i-th related word is greater than the reference score mean
  • An update unit configured to: when determining that the reference score S i of the i-th related word is greater than the reference score mean By updating the formula Updating the reference score S i of the i-th related word.
  • searching module specifically includes:
  • a weight associating unit configured to associate, according to a weight association format of the search engine, a weight value occupied by the keyword and the keyword as a first combination, and a weight value occupied by each of the related words Corresponding related words are associated with the second combination;
  • Searching a display unit configured to submit the first combination and the second combination to a search engine, for the search engine to search for a resume from the resume database, and display according to a sorting algorithm built in the search engine The searched resume; wherein the keyword and each of the related words included in the resume are displayed in a highlighted form.
  • the user only needs to input a keyword, and can obtain relevant words related to the keyword, and determine the degree of relevance of the related word to the keyword, and satisfy the time-sensitive requirement of the related word. It is possible to avoid the appearance of resumes corresponding to outdated skills in the field corresponding to the keyword in the process of retrieving the resume.
  • the resumes matching the fields corresponding to the keywords can be more accurately found in the retrieval process, so that the retrieved resumes are more reasonable, that is, Improve the accuracy of your resume search.
  • FIG. 1 is a schematic flow chart of an embodiment of a resume search method provided by the present invention
  • FIG. 2 is a schematic flow chart of an embodiment of step S2 of the resume search method provided in FIG. 1;
  • FIG. 3 is a schematic structural diagram of an embodiment of a resume search device provided by the present invention.
  • FIG. 4 is a schematic structural diagram of an embodiment of a related word set obtaining module of a resume search device provided by the present invention
  • FIG. 5 is a schematic structural diagram of an embodiment of a weight calculation module of a resume search device provided by the present invention.
  • FIG. 6 is a schematic structural diagram of an embodiment of a search module of a resume search device provided by the present invention.
  • FIG. 1 is a schematic flowchart diagram of an embodiment of a resume search method provided by the present invention, where the method includes steps S1 to S4, as follows:
  • FIG. 2 is a schematic flowchart of an embodiment of the step S2 of the resume search method provided in FIG. 1, and the implementation manner of the above step S2 is specifically described:
  • the term containing the keyword Java and sorted before the Mth position is obtained from the paper database, for example, the first 50 pages of the abstract are used as entries, or, in the wiki, the wiki is searched for. Keywords the first 500 abstracts of Java;
  • Formatting the terms according to the standard entry format for example, unifying lowercase in the entry into uppercase, deleting extra spaces in the entry, punctuation in the unified entry, or formatting the entry in full-width or The half-width format is unified into one type.
  • the word segmentation tool is called; preferably, the word segmentation tool is a jieba word segmentation tool, but is not limited to this word segmentation tool.
  • Extracting the words belonging to the core words of the user dictionary from the first word set as the related words ⁇ a 1 , . . . , a n ⁇ to obtain the related words set A ⁇ a 1 ,...,a n ⁇ .
  • the user dictionary may be added through the word segmentation tool or through the resume search device, and the core word provided by the dictionary may be used to extract the core word from the first word set as the related word to be tested.
  • this step S22 is the same as the specific implementation process of the previous step S21, except that the keyword in the step S21 is changed to the related word ⁇ a 1 , . . . , a n ⁇ , and then the obtained word is obtained.
  • quarantine a i related words of the set of words associated quarantine B ai ⁇ b i1, ... , b in ⁇ as a control experiment to be the set of words associated word a i, and thus are not repeated here.
  • the related word set of the keyword is obtained, that is, the related words of the through keyword are compared and matched with the related words of the related words to select related words, and according to the matching value (The above absolute value is used to determine the relevance of the selected related words, which can filter out noise words that are not related to the keywords, and improve the efficiency of acquiring the lower related words.
  • the vocabulary database preferably the essay database, is updated in real time, the related words obtained from the vocabulary database are both immediacy and can be extended and described around the keywords.
  • step S3 is:
  • Base score formula Calculating a reference score S i of the i-th related word in the related word set; wherein r i is a correlation degree of the i-th related word in the related word set; r min is all in the related word set The minimum value of the relevance of the related words; r max is the maximum value of the relevance of all related words in the related word set;
  • the purpose of calculating the benchmark score of each related word in the related word set is to base the correlation degree of the related words on the same benchmark, and represent the degree of correlation between the related words and the keywords in the form of a score.
  • the reference value is preferably r max -r min +1; the first weight formula adopts a logarithmic formula, and when the total value of the benchmark score grows too fast, the weight value of the keyword still maintains a moderate growth, and thus, the relevant words can be In a relatively large number of cases, avoid the occurrence of excessive weight of keywords; when calculating the weight of related words, the second weight formula and the third weight formula are used respectively to calculate, considering the relevant words.
  • the weight value of the related word is greater than the weight value of the keyword, or is much smaller than the weight value of the keyword, that is, during the process of searching for the resume, It can avoid the situation that the relevant words are overwhelmed by keywords and the keywords are too prominent; the setting of the weight coefficient can be determined by the actual situation, and the value is generally 2 or 4.
  • the method further includes:
  • the correlation degree of the related words in the related word set is based on the same benchmark, and the benchmark is the same as the above benchmark, and the purpose is to represent the average correlation between the related word set and the keyword in the form of a score.
  • Degree when the degree of correlation between a related word and a keyword (ie, the benchmark score) is greater than the average degree of correlation (average score) between the related word set and the keyword, the degree of correlation between the related word and the keyword may be The difference between the correlation degree of the related word set and the average degree of relevance of the keyword is magnified 10 times as a reference score of the degree of relevance of the related word to the keyword; otherwise, the related word and the keyword are maintained The original benchmark score of the degree of relevance, which more accurately expresses the relevance of the related words to the keywords, making the relationship between related words and keywords more reasonable.
  • step S4 is:
  • the keyword and each of the related words included in the resume are displayed in a highlighted form.
  • the commonly used search engine is the solr search engine, and the above weight association format can be associated according to the following format: keyword ⁇ keyword weight, related word 1 ⁇ related word 1 weight, related word 2 ⁇ related words 2 weights...
  • the user only needs to input a keyword, and can obtain related words related to the keyword, and determine the degree of relevance of the related words to the keyword, and satisfy the timeliness requirement of the related words.
  • a resume corresponding to an outdated skill in the field corresponding to the keyword is avoided.
  • the resumes matching the fields corresponding to the keywords can be more accurately found in the search process, so that the retrieved resumes are more reasonable. That is to improve the accuracy of the resume search.
  • the resume search device can implement the entire flow of the resume search method, and the structure thereof is as follows:
  • the receiving module 10 is configured to receive keywords used for searching for a resume from a resume database
  • the related word set obtaining module 20 is configured to obtain, according to the keyword, a set of related words of the keyword to be tested and a set of related words of the to-be-tested related word in the to-be-tested related word set respectively from the entry database And comparing the comparison word set of each of the to-be-tested related words with the to-be-tested related word set to obtain a correlation degree between the related word set and each related word in the related word set; wherein the correlation degree is represented The degree of relevance of related words to the keywords;
  • the weight calculation module 30 is configured to calculate, according to the relevance of each related word, a weight value occupied by the keyword and a weight value of each of the related words when performing a resume search;
  • a search module 40 configured to use the keyword, a weight value occupied by the keyword, each of the related words, and the The weight value of each related word is submitted to the search engine to search for the resume from the resume database.
  • FIG. 4 it is a schematic structural diagram of an embodiment of a related word set obtaining module of the resume search device provided by the present invention.
  • the related word set obtaining module 20 specifically includes:
  • the related word set unit 21 is configured to obtain an entry including the keyword from the vocabulary database according to the keyword, and perform word segmentation and screening on the term to obtain a related word set to be tested;
  • a comparison word set unit 22 configured to acquire, for each of the to-be-recognized related words in the to-be-tested related word set, an entry including the to-be-recognized related word from the entry database according to the inquiring related word, And performing word segmentation and screening on the words of the related words to be tested, and obtaining a comparison word set of the related words to be tested;
  • the determining obtaining unit 23 is configured to: when determining that the absolute value of the intersection of the comparison word set of the to-be-tested related word and the inquiring related word set is greater than a screening threshold, the to-be-relevant related word is related to the keyword a word, obtaining a related word set; wherein the absolute value is used as a relevance of the related word to the keyword.
  • FIG. 5 it is a schematic structural diagram of an embodiment of a weight calculation module of the resume search device provided by the present invention.
  • the weight calculation module 30 specifically includes:
  • a reference score calculation unit 31 for using a reference score formula Calculating a reference score S i of the i-th related word in the related word set; wherein r i is a correlation degree of the i-th related word in the related word set; r min is all in the related word set The minimum value of the relevance of the related words; r max is the maximum value of the relevance of all related words in the related word set;
  • the sum calculation unit 32 is configured to sum the reference scores of all the related words to obtain a reference score total value sum
  • the related word weight calculation unit 34 is configured to determine whether the reference score of the i-th related word is greater than W A /n; if yes, according to the second weight formula Calculating a weight value W i of the i-th related word when performing a resume search; if not, according to the third weight formula Calculating a weight value W i of the i-th related word when performing a resume search; wherein n is a second weight coefficient, and k is the number of related words in the related word set.
  • weight calculation module 30 further includes:
  • the mean value calculating unit 35 is configured to: according to the mean value formula, before determining whether the reference score of the ith related word is greater than W A /n Calculate the mean of the benchmark score among them, The average of the correlations of all related words in the related word set;
  • the determining unit 36 is configured to determine, for the i-th related word in the related word set, whether the reference score S i of the i-th related word is greater than the reference score mean
  • the updating unit 37 is configured to: when determining that the reference score S i of the ith related word is greater than the reference score mean By updating the formula Updating the reference score S i of the i-th related word.
  • the search module 40 specifically includes:
  • the weight associating unit 41 is configured to associate, according to a weight association format of the search engine, a weight value occupied by the keyword with the keyword as a first combination, and a weight of each of the related words The value is associated with its corresponding related word as a second combination;
  • a search display unit 42 for submitting the first combination and the second combination to a search engine for the search engine to search for a resume from the resume database, and according to a sorting algorithm built in the search engine
  • the searched resume is displayed; wherein the keyword and each of the related words included in the resume are displayed in a highlighted form.
  • the resume search device provided by the embodiment of the present invention can obtain relevant words related to the keyword by inputting a keyword, and determine the degree of relevance of the related word to the keyword, and satisfy the timeliness requirement of the related word. It is possible to avoid the appearance of resumes corresponding to outdated skills in the field corresponding to the keyword in the process of retrieving the resume. In addition, by distinguishing the weight values of the keywords and related words in the resume search process, the resumes matching the keywords corresponding fields can be more accurately found in the search process, so that the retrieved resumes are more reasonable and the resume is improved. The accuracy of the search.
  • the storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

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Abstract

L'invention concerne un procédé pour rechercher des curriculum vitae, qui consiste : à recevoir des mots-clés destinés à être utilisés lors d'une recherche de curriculum vitae dans une base de données de curriculum vitae (S1) ; sur la base desdits mots-clés, à obtenir séparément, à partir d'une base de données d'entrée, un ensemble de mots relatifs aux mots-clés à vérifier et un ensemble de mots comparatifs pour chaque mot pertinent à vérifier dans ledit ensemble de mots à vérifier, puis à comparer chacun de ces ensembles de mots comparatifs pour chaque mot pertinent à vérifier audit ensemble de mots à vérifier et à obtenir ainsi le degré de pertinence de chaque mot pertinent dans chaque ensemble de mots associé (S2) ; sur la base du degré de pertinence de chaque mot pertinent, à calculer le poids de chaque mot-clé et le poids de chaque mot pertinent lors de la réalisation d'une recherche de curriculum vitae (S3) ; à transférer à un moteur de recherche les mots-clés et les poids de ces derniers, et les mots pertinents et les poids de ces derniers, afin de récupérer des curriculum vitae à partir d'une base de données de curriculum vitae (S4). La présente invention concerne également un dispositif de recherche de curriculum vitae correspondant. L'utilisation de la présente solution fournit aux utilisateurs des mots pertinents précis, améliorant ainsi la précision des recherches de curriculum vitae.
PCT/CN2016/113140 2016-06-17 2016-12-29 Procédé et dispositif permettant de rechercher des curriculum vitae WO2017215242A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112580336A (zh) * 2020-12-25 2021-03-30 深圳壹账通创配科技有限公司 信息校准检索方法、装置、计算机设备及可读存储介质

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106095982B (zh) * 2016-06-17 2019-03-29 广州视源电子科技股份有限公司 简历搜索方法及装置
CN106126589B (zh) * 2016-06-17 2018-05-22 广州视源电子科技股份有限公司 简历搜索方法及装置
CN106980961A (zh) * 2017-03-02 2017-07-25 中科天地互联网科技（苏州）有限公司 一种简历筛选匹配方法及系统
CN107220234A (zh) * 2017-05-17 2017-09-29 东莞市华睿电子科技有限公司 一种电子简历的筛选方法
CN107357917B (zh) * 2017-07-20 2020-04-07 北京拉勾科技有限公司 一种简历搜索方法及计算设备
CN107870976A (zh) * 2017-09-25 2018-04-03 平安科技（深圳）有限公司 简历识别装置、方法及计算机可读存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103425687A (zh) * 2012-05-21 2013-12-04 阿里巴巴集团控股有限公司 一种基于关键词的检索方法和系统
CN105045781A (zh) * 2015-08-27 2015-11-11 广州神马移动信息科技有限公司 查询词相似度计算方法及装置、查询词搜索方法及装置
CN105512101A (zh) * 2015-11-30 2016-04-20 北大方正集团有限公司 一种自动构建主题词的方法及装置
CN106126589A (zh) * 2016-06-17 2016-11-16 广州视源电子科技股份有限公司 简历搜索方法及装置

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104216931A (zh) * 2013-05-29 2014-12-17 酷盛(天津）科技有限公司 实时推荐系统及方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103425687A (zh) * 2012-05-21 2013-12-04 阿里巴巴集团控股有限公司 一种基于关键词的检索方法和系统
CN105045781A (zh) * 2015-08-27 2015-11-11 广州神马移动信息科技有限公司 查询词相似度计算方法及装置、查询词搜索方法及装置
CN105512101A (zh) * 2015-11-30 2016-04-20 北大方正集团有限公司 一种自动构建主题词的方法及装置
CN106126589A (zh) * 2016-06-17 2016-11-16 广州视源电子科技股份有限公司 简历搜索方法及装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112580336A (zh) * 2020-12-25 2021-03-30 深圳壹账通创配科技有限公司 信息校准检索方法、装置、计算机设备及可读存储介质

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