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  Published Paper Details:

  Paper Title

Worker Recommendation System

  Authors

  Sanjivani Shinde,  Rutuja Nirmal,  Indrayani Pawar,  Rutuja Sutar,  Sakshi Mote

  Keywords

Worker Recommendation System

  Abstract


Recommendation System are software application that provide or suggest item to user these System use filtering techniques to provide recommendation. The Purpose of this recommendation System provide services to small or part time Workers. It has been observed by the team that Recommendation System that are studied have not focused on small wokers like electrician and carpenters, plumber, mechanics but the corporate people.The recommendation system has been implemented in the android programming language.The results obtained were quite accurate which helps to recommend jobs to workers and workers to customers in the required work field.Where a job seeker applies to a job by creating a profile on a job portal by providing all his/her work preferences.These work preferences of each user can be collected from each user and provide worker recommendation based on their preference.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2403484

  Paper ID - 252529

  Page Number(s) - e14-e17

  Pubished in - Volume 12 | Issue 3 | March 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sanjivani Shinde,  Rutuja Nirmal,  Indrayani Pawar,  Rutuja Sutar,  Sakshi Mote,   "Worker Recommendation System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.e14-e17, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT2403484.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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