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This research was partially funded by the H2020 project STAR - Novel AI technology for dynamic and unpredictable manufacturing environments (grant number 956573).

Analysis of institutional authors

Alonso, RubenCorresponding Author

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March 26, 2025
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A General and NLP-based Architecture to perform Recommendation: A Use Case for Online Job Search and Skills Acquisition

Publicated to:Proceedings Of The Acm Symposium On Applied Computing. 936-938 - 2023-01-01 (), DOI: 10.1145/3555776.3577844

Authors: Alonso, Ruben; Dessi, Danilo; Meloni, Antonello; Recupero, Diego Reforgiato

Affiliations

GESIS Leibniz Inst Social Sci, Knowledge Technol Social Sci Dept, Cologne, Germany - Author
R2M Solut Srl, Pavia, Italy - Author
Univ Cagliari, Dept Math & Comp Sci, Cagliari, Italy - Author

Abstract

Natural Language Processing (NLP) is crucial to perform recommendations of items that can be only described by natural language. However, NLP usage within recommendation modules is difficult and usually requires a relevant initial effort, thus limiting its widespread adoption. To overcome this limitation, we introduce FORESEE, a novel architecture that can be instantiated with NLP and Machine Learning (ML) modules to perform recommendations of items that are described by natural language features. Furthermore, we describe an instantiation of such architecture to provide a service for the job market where applicants can verify whether their curriculum vitae (CV) is eligible for a given job position, can receive suggestions about which skills and abilities they should obtain, and finally, can obtain recommendations about online resources which might strengthen their CVs.

Keywords

E-recruitmenNatural language processingRecommendationTransformers

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.18, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jul 2025)

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-07:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 4 (PlumX).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Germany; Italy.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (ALONSO HERNÁNDEZ, RUBÉN) .

the author responsible for correspondence tasks has been ALONSO HERNÁNDEZ, RUBÉN.