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Journal of Intelligent Information Systems

Erschienen in:

28.11.2023 | Research

T-shaped expert mining: a novel approach based on skill translation and focal loss

verfasst von: Zohreh Fallahnejad, Mahmood Karimian, Fatemeh Lashkari, Hamid Beigy

Erschienen in: Journal of Intelligent Information Systems | Ausgabe 2/2024

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Abstract

Hiring knowledgeable and cost-effective individuals, who use their knowledge and expertise to boost the organization, is extremely important for organizations as they are the most valuable assets. T-shaped experts are the best option based on agile methodology. The T-shaped professional has a deep understanding of one topic and broad knowledge of several others. Compared to other types of professionals, T-shaped professionals are better communicators and cheaper to hire. Finding T-shaped experts in a given skill area requires determining each candidate’s depth of knowledge and shape of expertise. To estimate each candidate’s depth of knowledge in a given skill area, we propose a translation-based method that utilizes two attention-based skill translation models to overcome the vocabulary mismatch between skills and user documents. We also propose two new approaches based on binary cross-entropy and focal loss to determine whether each user is T-shaped. Our experiments on three collections of the StackOverflow dataset demonstrate the efficiency of our proposed method compared to the state-of-the-art approaches.

Vorheriger Artikel EqBal-RS: Mitigating popularity bias in recommender systems

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https://github.com/zfallahnejad/tshaped-expert-finding

https://github.com/zfallahnejad/tshaped-expert-finding/blob/main/skill_translation.xlsx

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Titel: T-shaped expert mining: a novel approach based on skill translation and focal loss
verfasst von: Zohreh Fallahnejad
Mahmood Karimian
Fatemeh Lashkari
Hamid Beigy
Publikationsdatum: 28.11.2023
Verlag: Springer US
Erschienen in: Journal of Intelligent Information Systems / Ausgabe 2/2024
Print ISSN: 0925-9902
Elektronische ISSN: 1573-7675
DOI: https://doi.org/10.1007/s10844-023-00831-y

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