RESEARCH INTO MECHANISMS FOR SEARCH AND RANKING OF EXPERTS BY MEANS OF ARTIFICIAL INTELLIGENCE (Q107911): Difference between revisions
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(Created claim: summary (P836): The project involves the implementation of the R & D work that will result in the development of a new methodology for the search and collection of data and subsequent profiling and recommendations of experts, critical for the global recruitment market. The new solution will be based on effective artificial intelligence algorithms to analyse different sources of expert data (competency) and employer’s needs/requirements (job offers). The impleme...) |
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| Property / summary | |||
The project involves the implementation of the R & D work that will result in the development of a new methodology for the search and collection of data and subsequent profiling and recommendations of experts, critical for the global recruitment market. The new solution will be based on effective artificial intelligence algorithms to analyse different sources of expert data (competency) and employer’s needs/requirements (job offers). The implementation of the project has been divided into four main tasks to be carried out in four separate steps: Step 1 Development of an expert profile model (IIW + Connectives) Step 2 Development of Internet of Internet algorithms and discovery of text data knowledge (IISE + Connectives) Step 3 Development of expert peer review (IISE + Connectives), Step 4 Elaboration of an expert recommendation system (Connectives), Development of a prototype of an expert recommendation system (Connectives), under the first three phases of the industrial research work. The work will be carried out in parallel by the R & D Connexs Unit created for this purpose and a team of scientists from the Institute of Informatics at the Warsaw School of Technology. Step 4 is the development. This step will be entirely carried out by the Applicant on its own. R & D will generate the algorithms that will be used to build a prototype of the Experts’ System to enhance the functionality currently used by the C C_C to match employers’ and IT experts’ requirements. It is a prototype solution working on a limited database and requiring the use of artificial intelligence mechanisms in order to cover as many experts as possible on the market and to improve the search and ranking of candidates for the work of the applicant. (English) | |||
| Property / summary: The project involves the implementation of the R & D work that will result in the development of a new methodology for the search and collection of data and subsequent profiling and recommendations of experts, critical for the global recruitment market. The new solution will be based on effective artificial intelligence algorithms to analyse different sources of expert data (competency) and employer’s needs/requirements (job offers). The implementation of the project has been divided into four main tasks to be carried out in four separate steps: Step 1 Development of an expert profile model (IIW + Connectives) Step 2 Development of Internet of Internet algorithms and discovery of text data knowledge (IISE + Connectives) Step 3 Development of expert peer review (IISE + Connectives), Step 4 Elaboration of an expert recommendation system (Connectives), Development of a prototype of an expert recommendation system (Connectives), under the first three phases of the industrial research work. The work will be carried out in parallel by the R & D Connexs Unit created for this purpose and a team of scientists from the Institute of Informatics at the Warsaw School of Technology. Step 4 is the development. This step will be entirely carried out by the Applicant on its own. R & D will generate the algorithms that will be used to build a prototype of the Experts’ System to enhance the functionality currently used by the C C_C to match employers’ and IT experts’ requirements. It is a prototype solution working on a limited database and requiring the use of artificial intelligence mechanisms in order to cover as many experts as possible on the market and to improve the search and ranking of candidates for the work of the applicant. (English) / rank | |||
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Revision as of 09:58, 9 March 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | RESEARCH INTO MECHANISMS FOR SEARCH AND RANKING OF EXPERTS BY MEANS OF ARTIFICIAL INTELLIGENCE |
Project in Poland financed by DG Regio |
Statements
1,674,738.55 zloty
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2,759,567.19 zloty
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68.17 percent
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1 May 2017
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30 September 2018
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CONNECTIS SP. Z O.O.
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52°14'1.3"N, 21°4'17.0"E
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Projekt obejmuje realizację prac B+R, których rezultatem będzie opracowanie nowej metodologii wyszukiwania i gromadzenia danych, a następnie profilowania i rekomendacji ekspertów, o przełomowym znaczeniu dla rynku rekrutacji na świecie. Nowe rozwiązanie zostanie opracowane w oparciu o skuteczne algorytmy sztucznej inteligencji służące do analizowania różnorodnych źródeł danych o ekspertach (kompetencjach) i potrzebach/wymaganiach pracodawcy (ofert pracy). Realizacja projektu została podzielona na cztery główne zadania, które zostaną zrealizowane w ramach czterech oddzielnych etapów: Etap 1 Opracowanie modelu profilu eksperta (IIPW+Connectis) Etap 2 Opracowanie algorytmów eksploracji internetu oraz odkrywania wiedzy z danych tekstowych (IIPW+Connectis) Etap 3 Opracowanie metod semantycznego wyszukiwania ekspertów (IIPW+Connectis) Etap 4 Opracowanie prototypu systemu rekomendacji eksperta (Connectis) W ramach trzech pierwszych etapów będą realizowane prace o charakterze badań przemysłowych. Prace będą realizowane równolegle przez utworzony w tym celu Dział B+R Connectis oraz zespół naukowców z Instytutu Informatyki na Wydziale elektroniki Politechniki Warszawskiej. Etap 4 to prace rozwojowe. Ten etap w całości będzie realizowany samodzielnie przez Wnioskodawcę. W wyniku prac B+R powstaną algorytmy, które zostaną wykorzystane do zbudowania prototypu Systemu Rekomendacji Ekspertów, który umożliwi poszerzenie funkcjonalności aktualnie wykorzystywanej przez Wnioskodawcę platformy C_C służącej kojarzeniu wymagań pracodawców i ekspertów IT. Jest to rozwiązanie prototypowe, pracujące na ograniczonej bazie danych i wymagające zastosowania mechanizmów sztucznej inteligencji, aby możliwe było objęcie zasięgiem jak największej liczby ekspertów występujących na rynku, a także wymagające usprawnienia mechanizmów wyszukiwania i rankingowania kandydatów do pracy wykorzystywanych w bieżącej działalności Wnioskodawcy. (Polish)
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The project involves the implementation of the R & D work that will result in the development of a new methodology for the search and collection of data and subsequent profiling and recommendations of experts, critical for the global recruitment market. The new solution will be based on effective artificial intelligence algorithms to analyse different sources of expert data (competency) and employer’s needs/requirements (job offers). The implementation of the project has been divided into four main tasks to be carried out in four separate steps: Step 1 Development of an expert profile model (IIW + Connectives) Step 2 Development of Internet of Internet algorithms and discovery of text data knowledge (IISE + Connectives) Step 3 Development of expert peer review (IISE + Connectives), Step 4 Elaboration of an expert recommendation system (Connectives), Development of a prototype of an expert recommendation system (Connectives), under the first three phases of the industrial research work. The work will be carried out in parallel by the R & D Connexs Unit created for this purpose and a team of scientists from the Institute of Informatics at the Warsaw School of Technology. Step 4 is the development. This step will be entirely carried out by the Applicant on its own. R & D will generate the algorithms that will be used to build a prototype of the Experts’ System to enhance the functionality currently used by the C C_C to match employers’ and IT experts’ requirements. It is a prototype solution working on a limited database and requiring the use of artificial intelligence mechanisms in order to cover as many experts as possible on the market and to improve the search and ranking of candidates for the work of the applicant. (English)
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Identifiers
RPMA.01.02.00-14-5716/16
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