A survey of job recommender systems

Abstract

The Internet-based recruiting platforms become a primary recruitment channel in most companies. While such platforms decrease the recruitment time and advertisement cost, they suffer from an inappropriateness of traditional information retrieval techniques like the Boolean search methods. Consequently, a vast amount of candidates missed the opportunity of recruiting. The recommender system technology aims to help users in finding items that match their personnel interests; it has a successful usage in e-commerce applications to deal with problems related to information overload efficiently. In order to improve the e-recruiting functionality, many recommender system approaches have been proposed. This article will present a survey of e-recruiting process and existing recommendation approaches for building personalized recommender systems for candidates/job matching.

Job Seekers' Acceptance of Job Recommender Systems: Results of an Empirical Study

“…Hence, the recommendation in the recruiting context is bilateral as recommendations can be made for both the job seeker and the organization. For both types of recommender systems several content-, collaborative-, knowledge-based, and hybrid recommendation algorithms have been investigated [14]. The majority of the literature investigates matching algorithms that address the bilaterally of the recommendation [12,13,15], the challenge of the various user characteristics that can be used to match job seekers with jobs [15][16][17], and the consideration of social networks for the matching process [13,15,18].…”

New Artificial Immune System Approach Based on Monoclonal Principle for Job Recommendation

“…It covered the job requirements such as user profiling and similarity measures. Additionally, we presented a comprehensive survey of job recommendation and listed the advantages and disadvantages of technical approaches in different job recommender systems [5]. Moreover, author of [7] determined that we must consider unary attributes such as individual skills, mental abilities and personality that control the fit between the individual and the tasks to be accomplished.…”

“…In recent years, much research has been conducted to discuss different issues related to the applying of recommender system technologies in job problem [5]. A survey of job recommender system was presented [6].…”

Open Source Resume

“…Social Network Service(SNS) has been one of the most popular topics around the world since the last decade [1]. As a result of the rapid increase in SNS users, some studies applied data mining techniques to analyze SNS for exploring trending topics and seeking desirable community for oneself  Content-based Recommendation The principle of a content-based recommendation is to suggest items that have similar content information to the corresponding users.…”