Name
Abstract | ||
|---|---|---|
The advent of the Web brought about major changes in the way people search for jobs and companies look for suitable candidates. As more employers and recruitment firms turn to the Web for job candidate search, an increasing number of people turn to the Web for uploading and creating their online resumes. Resumes are often the first source of information about candidates and also the first item of evaluation in candidate selection. Thus, it is imperative that resumes are complete, free of errors and well-organized. We present an automated resume evaluation tool called "CareerMapper". Our tool is designed to conduct a thorough review of a user's LinkedIn profile and provide best recommendations for improved online resumes by analyzing a large number of online user profiles. |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | resume, recommendation, LinkedIn |
DocType | Volume | ISSN |
Conference | abs/1611.05339 | Proceedings of the IEEE International Conference on Big Data (IEEE
BigData 2016) |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vivian Lai | 1 | 6 | 3.11 |
| Kyong Jin Shim | 2 | 67 | 13.91 |
| Richard Jayadi Oentaryo | 3 | 80 | 10.00 |
| Philips Kokoh Prasetyo | 4 | 73 | 10.52 |
| Casey Vu | 5 | 0 | 0.34 |
| Ee-Peng Lim | 6 | 5889 | 754.17 |
| David Lo | 7 | 5346 | 259.67 |