|
| Title | Reference | Selection criteria |
|
| Matching people and jobs: a bilateral recommendation approach | [9] | Highly cited (Table 2), seminal paper (Figure 5), cluster centrality (Figure 10(a), Figure 10(b)) |
| Extending the applicability of recommender systems: a multilayer framework for matching human resources | [23] | Highly cited (Figure 4), seminal paper (Figure 5) |
| Matching résumés and jobs based on relevance models | [8] | Highly cited (Table 2), seminal paper (Figure 5), cluster centrality (Figure 10(a), Figure 10(b)) |
| PROSPECT : a system for screening candidates for recruitment | [13] | Highly cited (Table 2), seminal paper |
| Job recommender systems: a survey | [19] | Review paper, highly cited (Table 2), influential paper (Figure 5) |
| A survey of job recommender systems | [10] | Review paper, highly cited (Table 2), influential paper (Figure 5) |
| Towards an automated system for intelligent screening of candidates for recruitment using ontology mapping (EXPERT) | [12] | Highly cited (Table 2), influential paper (Figure 5), cluster centrality (Figure 10(a)) |
| Application of machine learning algorithms to an online recruitment system | [38] | Highly cited in collection (Figure 4(b)), cluster centrality (Figure 10(b)) |
| A job recommender system based on user clustering | [11] | Highly cited (Table 2), influential paper (Figure 5) |
| RésuMatcher: a personalised résumé-job matching system | [15] | Highly cited (Table 2), influential paper (Figure 5), cluster centrality (Figure 10(a)) |
| JRC : a job post and resume classification system for online recruitment, analysis, and shortcomings of e-recruitment systems | [39, 40] | Recent timeline, authoring dynamics (Figure 3), highly cited in collection (Figure 4(b)) |
| Developing a framework for potential candidate selection, potential candidate selection using information ex-date selection using information extraction and skyline queries | [41, 42] | Recent timeline, authoring dynamics (Figure 3), ML or NLP keywords (Figure 6) |
| A domain-specific ESA method for semantic text matching | [43] | Recent timeline, authoring dynamics (Figure 3), ML or NLP keywords (Figure 6) |
| A vectorisation model for job matching application of a government employment service office | [44] | Recent timeline, authoring dynamics (Figure 3), ML or NLP keywords (Figure 6) |
| Competence-level prediction and resume and job description matching using context-aware transformer models | [45] | Recent timeline, authoring dynamics (Figure 3), ML or NLP keywords (Figure 6) |
|
