An Innovative Recommendation System for a Knowledge Transfer Matchmaking Platform

被引：0
|
作者：
Rus, Gabriela [1 ]
Nae, Laurentiu [2 ]
Gherman, Bogdan [1 ]
Vaida, Calin [1 ]
Deriaz, Michel [3 ]
Oprea, Eduard [2 ]
Pisla, Doina [1 ]
机构：
[1] Tech Univ Cluj Napoca, Memorandumului 28, Cluj Napoca, Romania
[2] Digital Twin, Bd Mircea Voda 24, Bucharest, Romania
[3] Yumytech, 38 Route Ambilly, CH-1226 Thonex, Switzerland
来源：
ICT FOR HEALTH, ACCESSIBILITY AND WELLBEING, IHAW 2022 | 2023年 / 1799卷
基金：
欧盟地平线“2020”;
关键词：
Active Ageing; Knowledge Transfer; Recommendation System; Matchmaking System; Machine Learning; Semantic Similarity;
D O I：
10.1007/978-3-031-29548-5_11
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The phenomenon of aging, which has become more prevalent in our society in recent decades, has raised a number of concerns about the well-being of the elderly. Studies show that a significant percentage of retired seniors suffer from depression as a result of inactivity and a poor social environment. In order to provide seniors an opportunity to reintegrate into a healthy work environment, a knowledge transfer platform was created, with the goal of allowing seniors to share their knowledge with organizations that required the experience of a specialist. The paper presents a hybrid system that can recommend mentors for a certain assignment to companies, based on their abilities. Using AI agents, a combination of a matchmaking system and a collaborative filter calculates the similarity between the corporate profile and candidate profiles. The functionality of the system has been tested on different scenarios.
引用
收藏
页码：162 / 176
页数：15
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