Paper Key : IRJ************056
Author: Md Al Mamun
Date Published: 08 Oct 2023
Abstract
The personalized recommender system, which is extensively used in many domains, is suggested as a solution to the information overload issue. Recently, and with great speed, the area of job recommender systems for recruiting has arisen. The user profiles and recommendation technologies of the job recommender system have attracted attention, have undergone academic study, and have been implemented for various use cases in industries.. Based on the available research, we present some fundamental user profile concepts as well as some popular recommendation technologies in this paper. Across many areas, adaptive recommender systems are becoming more widespread. Regardless of the domain, personalized recommendations are a great method to enhance user experience, but they must be implemented properly within the interaction context. By limiting the search area to items associated with the user's profile and alerting the user to those items most likely to suit their interests, adaptive recommender systems basically give users a more intelligent way to traverse and explore complex information landscapes. Customized recommender systems have recently piqued the interest of firms that serve job seekers.
DOI LINK : 10.56726/IRJMETS45047 https://www.doi.org/10.56726/IRJMETS45047