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You searched for subject:(Recruitment semantic matching). Showing records 1 – 3 of 3 total matches.

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1. Carriço, Bruno Miguel Alves. e-Recruitment: descrição e inferência sobre oferta e procura.

Degree: 2014, Repositório Científico do Instituto Politécnico de Lisboa

Trabalho de Projeto para obtenção do grau de Mestre em Engenharia Informática e de Computadores

A procura pelo currículo que melhor responda às necessidades dos Recursos Humanos, bem como encontrar a proposta de trabalho que corresponda à expectativa de quem procura emprego, motivou a elaboração de um modelo que dêresposta eficiente a estas necessidades. O modelo é baseado em ontologia, para representação de informação, bem comopara consulta e troca desta, entre companhias e sistemas, numa forma clara eindependente de templates e formatos próprios. A opção por um modelo baseado em ontologia permite explorar a pesquisa na ontologia (TBox e ABox), através de equivalências semânticas entre conceitos (propostas de trabalho e candidatos). É proposto um método para explorar a pesquisa na ontologia (TBox e ABox),através de equivalências semânticas entre conceitos (propostas de trabalho e candidatos) e, para classificar os resultados. A equivalência semântica é obtida deduas formas: a) via equivalência formal pela lógica de descrição (DL), e b) pelacombinação entre a proximidade sintática e pela distância ao longo das relaçõesda ontologia. A última abordagem permite encontrar pares de conceitos, que estão perto o suficiente, para serem considerados (pelo sistema) como sugestões(para o utilizador) de conceitos que poderiam ser encontrados através de equivalência formal (DL). Foi desenvolvida uma interface cliente, onde a informação é apresentada numformato de Grafo Social, em que cada candidato ou proposta de trabalho é umnó. Os nós estão ligados entre si, com base na equivalência estabelecida entreeles. Desta forma, é possível ir expandindo os nós, e ter acesso aos seus pares, istoé a partir de uma proposta de trabalho expandem-se todos os nós de candidato que estão associados e, por sua vez, podem-se expandir os nós dos candidatospara se obterem-se as suas propostas de trabalho e assim por diante. O modelo pode ser testado e validado, para tal, foi criado um ambiente fechado,com uma base de conhecimento restrita, onde se pode interagir com o sistema.

The search for the best curriculum for the needs of the Human Resources, as well find job postings that matches the expectations of job seekers, motivated the development of a model that responds effectively to these needs. This is an ontology-based model for information representation, querying and exchange, among companies and systems, in a clear way and independent of proprietary formats and templates. The choice of an ontology-based model allows to explore searches in ontology (TBox and ABox) through semantic equivalences between concepts (job offers and job seekers). Is also proposed a method to explore the ontology (TBox and ABox) searching for the semantic matching between concepts (job postings and job seekers) and compute the ranking of results. The semantic matching is achieved in two major ways: a) via description logics (DL) formal equivalence, and b) via a combination of syntactic proximity and the distance from a path traversal through the ontology…

Advisors/Committee Members: Silva, Paulo Trigo.

Subjects/Keywords: HR-XML recruiting specification; OWL/DL description logic; Recruitment semantic matching

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Carriço, B. M. A. (2014). e-Recruitment: descrição e inferência sobre oferta e procura. (Thesis). Repositório Científico do Instituto Politécnico de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3746

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Carriço, Bruno Miguel Alves. “e-Recruitment: descrição e inferência sobre oferta e procura.” 2014. Thesis, Repositório Científico do Instituto Politécnico de Lisboa. Accessed June 25, 2019. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3746.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Carriço, Bruno Miguel Alves. “e-Recruitment: descrição e inferência sobre oferta e procura.” 2014. Web. 25 Jun 2019.

Vancouver:

Carriço BMA. e-Recruitment: descrição e inferência sobre oferta e procura. [Internet] [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2014. [cited 2019 Jun 25]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3746.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Carriço BMA. e-Recruitment: descrição e inferência sobre oferta e procura. [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2014. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3746

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

2. Melin, Oscar. Matching Performance Metrics with Potential Candidates : A computer automated solution to recruiting.

Degree: Information and Communication Technology (ICT), 2017, KTH

Selecting the right candidate for a job can be a challenge. Moreover, there are significant costs associated with recruiting new talent. Thus there is a requirement for precision, accuracy, and neutrality from an organization when hiring a new employee. This thesis project focuses on the restaurant and hotel industry, an industrial sector that has traditionally used a haphazard set of recruiting methods. Unlike large corporations, restaurants cannot afford to hire dedicated recruiters. In addition, the primary medium used to find jobs and job seekers in this industry often obscure comparisons between relevant positions. The complex infrastructure of this industry requires a place where both recruiter and job seeker can access a standardized overview of the entire labor market. Introducing automation in hiring aims to better address these complex demands and is becoming a common practice throughout other industries, especially with the help of internet based recruitment and pre-selection of candidates. These solutions also have the potential to minimize risks of human bias when screening candidates. This thesis aims to minimize inefficiencies and errors associated with the existing manual recruitment screening process by addressing two main issues: the rate at which applicants can be screened and the quality of the resulting matches. This thesis first discusses and analyzes related work in automated recruitment in order to propose a refined solution suitable for the target area. This solution –semantic matching of jobs and candidates - is subsequently evaluated and tested in partnership with Cheffle, a service industry networking company. The thesis concludes with suggestions for potential improvements to Cheffle´s current system and details the viability of recruiting with the assistance of an automated semantic matching application.

Att välja den rätta kandidaten för ett jobb kan vara en utmaning. Det finns dessutom betydliga kostnader i att rekrytera ny arbetskraft. På grund därav finns det ett behov för noggrannhet och neutralitet från en organisation vid rekrytering av ny personal. Detta examensprojekt fokuserar på restaurang och hotellbranschen. Denna branchsektor har traditionellt sett använt undermåliga rekryteringsmetoder. Till skillnad från stora företag så kan inte restauranger avvara resurser för egna rekryterare. Därtill så försvårar de primära medierna för rekrytering i sektorn jämförelser mellan relaterade lediga jobb. Denna komplexa infrastruktur skapar ett behov av en plats där både företag och arbetssökande har tillgång till en standardiserad översikt av hela arbetsmarknaden. Introduktionen av automatisering har som syfte att bemöta dessa komplexa krav och blir alltmer vanligt inom andra branscher. Speciellt med hjälp av internetbaserad rekrytering och förval av jobbkandidater. Dessa lösningar har även potentialen att minimera risken för mänsklig subjektivitet och opartiskhet vid förval av jobbkandidater. Detta examensprojekt har som syfte att minimera…

Subjects/Keywords: Automation; Recruitment; Semantic Matching; Service industry; Hotel; Restaurant; Automatisering; Rekrytering; Semantisk matchning; Serviceindustri; Hotell; Restaurang; Communication Systems; Kommunikationssystem

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Melin, O. (2017). Matching Performance Metrics with Potential Candidates : A computer automated solution to recruiting. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208311

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Melin, Oscar. “Matching Performance Metrics with Potential Candidates : A computer automated solution to recruiting.” 2017. Thesis, KTH. Accessed June 25, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208311.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Melin, Oscar. “Matching Performance Metrics with Potential Candidates : A computer automated solution to recruiting.” 2017. Web. 25 Jun 2019.

Vancouver:

Melin O. Matching Performance Metrics with Potential Candidates : A computer automated solution to recruiting. [Internet] [Thesis]. KTH; 2017. [cited 2019 Jun 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208311.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Melin O. Matching Performance Metrics with Potential Candidates : A computer automated solution to recruiting. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208311

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

3. Strand, Henrik. Automatiserad matchning vid rekrytering.

Degree: Health Informatics and Logistics, 2018, KTH

För små företag utan rekryteringsansvarig person kan det var svårt att hitta rätt personal. Brist på sådana resurser är en påfrestning som leder till stress och mindre lyckade rekryteringar. Målet med arbetet var att hitta en lösning för att automatisera matchning i en rekryteringsprocess genom att ge förslag på relevanta personer som tidigare sökt jobb hos företag via Cheffle:s tjänst. Det finns flera olika sätt att matcha uppsättningar av data. I det här fallet användes maskininlärning som lösningsmetod. Detta implementerades tillsammans med en prototyp som hämtade in data om jobbet och den arbetssökande. Maskininlärningsmodellerna Supportvektormaskin och Artificiella Neural Nätverk använde sig av denna data för att betygsätta de arbetssökande. Detta utifrån hur väl de matchade jobbannonsen. Arbetets slutsats är att ingen modell hade tillräckligt hög precision i sina klassificeringar för att användas i en verklig implementation, detta då endast små mängder testdata fanns tillgänglig. Resultatet visade att maskininlärningsmodellerna Supportvektormaskin och Artificiella Neurala Nätverk visade potential för att kunna användas vid denna typ av matchning, men för att fastställa detta krävs mer träningsdata

It can be hard for a small company with no dedicated HR-role to find suiting recruits. A lack of resources takes a toll on the existing employees and increase stress that further harms recruiting. The goal of this work was to find a solution to automate matching in a recruitment process by suggesting relevant applicants that have previously used Cheffle. There are multiple ways of matching data. In the case of this study, machine learning was used. A prototype was developed. It collected data about a job and its related applicants. The data was then used by the machine learning models Support vector machine and Artificial Neural Network to classify the applicants by how closely they match the job position. The conclusion made in this work is that no model had a precision high enough in its classification to be used in a final implementation. The low precision in classification is likely a result of the small amount of test data available. The result showed that the machine learning models Support vector machine and Artificial Neural Network had potential in this type of matching. To firmly determine this the models would need to be tested with more test data.

Subjects/Keywords: Recruitment; automation; machine learning; SVM; ANN; semantic matching; Rekrytering; automatisering; maskininlärning; SVM; ANN; semantisk matchning; Computer Sciences; Datavetenskap (datalogi)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Strand, H. (2018). Automatiserad matchning vid rekrytering. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229891

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Strand, Henrik. “Automatiserad matchning vid rekrytering.” 2018. Thesis, KTH. Accessed June 25, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229891.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Strand, Henrik. “Automatiserad matchning vid rekrytering.” 2018. Web. 25 Jun 2019.

Vancouver:

Strand H. Automatiserad matchning vid rekrytering. [Internet] [Thesis]. KTH; 2018. [cited 2019 Jun 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229891.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Strand H. Automatiserad matchning vid rekrytering. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229891

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.