Visual Resume: Exploring developers’ online contributions for hiring

Kuttal, Sandeep Kaur; Chen, Xiaofan; Wang, Zhendong; Balali, Sogol; Sarma, Anita

doi:10.1016/j.infsof.2021.106633

Cited by 12 publications

(5 citation statements)

References 14 publications

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“…The decoder's hidden layer utilizes a past time context vector for measuring present input, so the data acquired in the past can utilized during calculation which strengthens the previous and present time relationship. At present time, to utilize source text data in previous and target generated text summary, two coverage vectors in attention mechanism are combined as per (11):…”

Section: Da-pn+cover Methodsmentioning

confidence: 99%

“…Most of the rapid research on recruiting has aimed heavily authenticity and validity of the company's selection activities and methods [10]. Enrolling is important and concerned with finding a suitable candidate pool, attracting candidates, and acquiring them to register for open postings [11]. Despite the focus on employer responses to hiring, it is equally, if not more, important to consider the job seeker's reactions to the recruitment process [12].…”

Section: Introductionmentioning

confidence: 99%

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Bidirectional recommendation in HR analytics through text summarization

Arandi,

Yeresime

2024

Bulletin EEI

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For over a decade, online job portals have been providing their services to both job seekers and employers in search of hiring opportunities. Because of the high demand for recruitment, it is insufficient to use conventional hiring methods to find a suitable candidate to fill the position. Validating resumes online is challenging due to the potential for manual errors, making the process inherently risky. The bidirectional method comprises named entity recognition (NER) for extracting the required resumes for recruiters. Cosine similarity shows the match percentage of resumes for the job requirements and vice versa. In an attempt to tackle an issue of unregistered words, a solution called decoder attention with pointer network (DA-PN) has been introduced. This method incorporates the use of coverage mechanism to prevent word repetition through generated text summary. DA-PN+Cover method with mixed learning objective (MLO) (DA-PN+Cover+MLO) is utilized for protecting grow of increasing faults in generated text summary. Performance of proposed method is estimated using evaluation indicator recall oriented understudy for gisting evaluation (ROUGE) and attains an average of 27.47 which is comparatively higher than existing methods.

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Section: Da-pn+cover Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bidirectional recommendation in HR analytics through text summarization

Arandi,

Yeresime

2024

Bulletin EEI

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“…Saat ini perekrut dan praktisi semakin mengandalkan kegiatan online developer untuk menemukan kandidat yang cocok saat membuat keputusan perekrutan. Dengan developer akan sangat membantu dalam mengevaluasi syarat peserta untuk teknis dan soft skill menjadi lebih efisien karena menyajikan pandangan agregat tentang kontribusi kandidat, memungkinkan pengeboran ke detail tentang kontribusi, dan memungkinkan perbandingan mudah kandidat melalui kartu yang dapat dipindahkan yang bisa menjadi diatur untuk mencocokkan kebutuhan peserta (Kuttal et al, 2021).…”

Section: Rq1 : Bagaimana Pengetahuan Tentangunclassified

“…Problem Solving (Lissillour & Sahut, 2022), (Speaker et al, 2022), (Yang et al, 2020), (Tuarob et al, 2021), (Rauwerdink et al, 2021), (Vogt & Hollenstein, 2021), (Rabin et al, 2020), (Lentferink et al, 2020), (Angeli & Valanides, 2020), (Kuttal et al, 2021), (Zaidi et al, 2022), (Mayweg-Paus et al, 2021), (Mian et al, 2022), (Marcu et al, 2022), (Lischka et al, 2021), (Whitson, 2020), (Becker & Kotter, 2022), (Luo et al, 2021), (Firmenich et al, 2022), (Castellacci et al, 2020) , (Brammer et al, 2021).…”

Section: Literature Jumlah Persentaseunclassified

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Systematic Literature Review Terhadap Interpersonal Skill Technology Developer

Fitroh,

Faaza Bil Amri,

Fahar Muharram Arizky

2023

SATIN

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Interpersonal Skill adalah keterampilan dasar yang harus dimiliki individu agar interaksi dapat berjalan lancar, termasuk dalam pelaksanaan pengembangan teknologi. Technology Developer merupakan seseorang yang mengembangkan suatu perangkat lunak dan aplikasi. Seiring perkembangan zaman teknologi semakin canggih yang membuat setiap technology developer harus semakin meningkatkan keterampilan yang dimilikinya agar dapat menyesuaikan dengan perkembangan dan memudahkan dalam pekerjaannya untuk pengembangan teknologi. Penelitian ini bertujuan untuk memberikan suatu informasi dengan melakukan Systematic Literature Review (SLR) terhadap penelitian-penelitian terkini terkait interpersonal skill terhadap technology developer dari tahun 2020 hingga 2022 sehingga dapat mengetahui perkembangan. Dalam penelitian ini peneliti menggunakan metode Systematic Literature Review (SLR) menggunakan Publish Or Perish, Mendeley, Zotero, Microsoft Excel, dan VOS Viewer dan mendapatkan 913 berupa jurnal dan buku dengan pencarian di Scopus dan peneliti memilih 64 jurnal pada quartile 1. Hasil yang diperoleh bahwa keterampilan interpersonal membantu developer dalam memahami dan menghargai orang lain, sehingga dapat membawa kesuksesan dalam pelaksanaan pengembangan teknologi. didapatkan 3 spesifikasi tertinggi yaitu Problem Solving dengan presentase 35,59%, Kolaboratif dengan presentase 25,42%, Inklusif serta Kritis dengan presentase 11,86%.

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Assisting Mentors in Selecting Newcomers’ Next Task in Software Product Lines: A Recommender System Approach

Medeiros

Díaz

2022

Advanced Information Systems Engineering

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Visual Resume: Exploring developers’ online contributions for hiring

Cited by 12 publications

References 14 publications

Bidirectional recommendation in HR analytics through text summarization

Bidirectional recommendation in HR analytics through text summarization

Systematic Literature Review Terhadap Interpersonal Skill Technology Developer

Assisting Mentors in Selecting Newcomers’ Next Task in Software Product Lines: A Recommender System Approach

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