UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2305430


Registration ID:
515487

Page Number

e199-e204

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Title

Skill Based Job Recommendation System

Abstract

Data science’s subfield of machine learning focuses on creating algorithms that can learn from and make predictions based on the data. By suggesting jobs based on a candidate’s skill set, recommender systems can be extremely useful in helping college graduates realize their career goals. There are many websites today that offer a ton of information on work opportunities, but this chore is very time consuming for students because they must sift through a lot of material to find the appropriate job. And many students are unaware of the types of jobs that would be best for them. These days, the Technology industries are booming. This study looks at the users resume, compares the degree knowledge, soft skills, hard skills, and projects he has completed, and only then does the system suggest jobs for that user.

Key Words

Recommender System, Support Vector Machine (SVM), Machine Learning etc.

Cite This Article

"Skill Based Job Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.e199-e204, May-2023, Available :http://www.jetir.org/papers/JETIR2305430.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Skill Based Job Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppe199-e204, May-2023, Available at : http://www.jetir.org/papers/JETIR2305430.pdf

Publication Details

Published Paper ID: JETIR2305430
Registration ID: 515487
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: e199-e204
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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