A comprehensive survey of artificial intelligence techniques for talent analytics
In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …
organizations to rethink how to make talent-related decisions in a quantitative manner …
A survey on semantic processing techniques
Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …
era of powerful pre-trained language models and large language models, the advancement …
A challenge-based survey of e-recruitment recommendation systems
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 …
recruiters. The recommendations are generated based on the suitability of job seekers for …
Knowledge graphs in education and employability: A survey on applications and techniques
Studies on the relationship between education and employability are of paramount
importance for policy makers, training institutions, companies and students. The availability …
importance for policy makers, training institutions, companies and students. The availability …
Transferrable framework based on knowledge graphs for generating explainable results in domain-specific, intelligent information retrieval
In modern industrial systems, collected textual data accumulates over time, offering an
important source of information for enhancing present and future industrial practices …
important source of information for enhancing present and future industrial practices …
Data science for job market analysis: A survey on applications and techniques
The job market is evolving continuously due to changes in economic landscapes,
technological improvements, and skill requirements. In the era of digitalization, a wealth of …
technological improvements, and skill requirements. In the era of digitalization, a wealth of …
UISA: User Information Separating Architecture for Commodity Recommendation Policy with Deep Reinforcement Learning
A Xu, L Jian, Y Yin, N Zhang - ACM Transactions on Recommender …, 2024 - dl.acm.org
Commodity recommendation contributes an important part of individuals' daily life. In this
context, deep reinforcement learning methods have demonstrated substantial efficacy in …
context, deep reinforcement learning methods have demonstrated substantial efficacy in …
A Co-design Study for Multi-stakeholder Job Recommender System Explanations
Recent legislation proposals have significantly increased the demand for eXplainable
Artificial Intelligence (XAI) in many businesses, especially in so-called 'high-risk'domains …
Artificial Intelligence (XAI) in many businesses, especially in so-called 'high-risk'domains …
Recall, expand and multi-candidate cross-encode: Fast and accurate ultra-fine entity typing
Ultra-fine entity typing (UFET) predicts extremely free-formed types (eg, president, politician)
of a given entity mention (eg, Joe Biden) in context. State-of-the-art (SOTA) methods use the …
of a given entity mention (eg, Joe Biden) in context. State-of-the-art (SOTA) methods use the …
[PDF][PDF] Semantic Approaches Survey for Job Recommender Systems.
A Brek, Z Boufaida - RIF, 2022 - ceur-ws.org
Newly, the e-recruitment phenomenon has been widely spread, which led to the increase of
job descriptions online and caused a remarkable growth in the number of jobs seekers …
job descriptions online and caused a remarkable growth in the number of jobs seekers …