Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation

I Palomares, C Porcel, L Pizzato, I Guy… - Information …, 2021 - Elsevier
There exist situations of decision-making under information overload in the Internet, where
people have an overwhelming number of available options to choose from, eg products to …

e-Recruitment recommender systems: a systematic review

MN Freire, LN de Castro - Knowledge and Information Systems, 2021 - Springer
Recommender Systems (RS) are a subclass of information filtering systems that seek to
predict the rating or preference a user would give to an item. e-Recruitment is one of the …

Exposure inequality in people recommender systems: the long-term effects

F Fabbri, ML Croci, F Bonchi, C Castillo - Proceedings of the …, 2022 - ojs.aaai.org
People recommender systems may affect the exposure that users receive in social
networking platforms, influencing attention dynamics and potentially strengthening pre …

The effect of homophily on disparate visibility of minorities in people recommender systems

F Fabbri, F Bonchi, L Boratto, C Castillo - Proceedings of the International …, 2020 - aaai.org
Evaluating (and mitigating) the potential negative effects of algorithms has become a central
issue in computer science. While research on algorithmic bias in ranking systems has dealt …

A challenge-based survey of e-recruitment recommendation systems

Y Mashayekhi, N Li, B Kang, J Lijffijt… - ACM Computing Surveys, 2024 - dl.acm.org
E-recruitment recommendation systems recommend jobs to job seekers and job seekers to
recruiters. The recommendations are generated based on the suitability of job seekers for …

Community-based link prediction

A Biswas, B Biswas - Multimedia tools and applications, 2017 - Springer
This work proposes a community-based link prediction approach for identifying missing links
or the links that are likely to appear in near future. Earlier works on link prediction consider …

Hybrid occupation recommendation for adolescents on interest, profile, and behavior

A Ochirbat, TK Shih, C Chootong, W Sommool… - Telematics and …, 2018 - Elsevier
Young people in high school or college make critical decisions regarding what major to
study and which career path to pursue. But, many students enter post-secondary education …

Hybrid information filtering engine for personalized job recommender system

IA Heggo, N Abdelbaki - … on advanced machine learning technologies and …, 2018 - Springer
The recommendation system, also known as recommender system or recommendation
engine/platform, is considered as an interdisciplinary field. It uses the techniques of more …

Combining learning analytics with job market intelligence to support learning at the workplace

AM Berg, J Branka, G Kismihók - … Formal and Informal Learning with Digital …, 2018 - Springer
Numerous research articles are concerned with the issues surrounding the deployment of e-
portfolios. Without proper mentorship, well-designed e-portfolios and stable systems, the …

Integration and Recommendation System of Profiles based on Professional Social Networks

P Dayang, UM Bomda - EAI Endorsed Transactions on Context …, 2024 - publications.eai.eu
The aim of our investigation is to personalize bilateral recommendation of job-related
proposals based on existing professional social networks. In a context where the points of …