Search Results for author: Yoosof Mashayekhi

Found 3 papers, 2 papers with code

ReCon: Reducing Congestion in Job Recommendation using Optimal Transport

1 code implementation18 Aug 2023 Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie

Recommenders are increasingly used in domains where items have limited availability, such as the job market, where congestion is especially problematic: Recommending a vacancy -- for which typically only one person will be hired -- to a large number of job seekers may lead to frustration for job seekers, as they may be applying for jobs where they are not hired.

Recommendation Systems

A challenge-based survey of e-recruitment recommendation systems

no code implementations12 Sep 2022 Yoosof Mashayekhi, Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie

The recommendations are generated based on the suitability of the job seekers for the positions as well as the job seekers' and the recruiters' preferences.

Collaborative Filtering Recommendation Systems

CSNE: Conditional Signed Network Embedding

2 code implementations19 May 2020 Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie

Experiments on a variety of real-world networks confirm that CSNE outperforms the state-of-the-art on the task of sign prediction.

Network Embedding

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