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This is base-line approach for building job recommendation engine

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Job Recommendation System base line approach

This is simple job recommendation system. A base line approach.

Dependencies

  • math
  • dill
  • pickel
  • scikit-learn
  • pdfminer
  • urllib2
  • requests
  • re
  • os
  • sys

Installation

* math:         By default installed 
* dill:         $ sudo pip install dill
* pickle:       $ sudo pip install pickle
* scikit-learn: $ sudo pip install sklearn
* pdfminer:     $ sudo pip install pdfminer
* urllib2:      By default installed for python 2.7 for python 3 use this: import urllib.request  as urllib2 
* requests:     $ sudo pip install requests
* re:           By default installed 
* os:           By default installed 
* sys:          By default installed 

Usage

  • I have already generated pixel file for dataset.

  • In order to run the scrip and generate the training score you need to run the script tfidf.py

  • indeed_scrap.py scrap the data and pdf_parse.py used to parse the pdf files.

credit

Credits for this code go to xyaoinum. I've merely created a wrapper to get people started.

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This is base-line approach for building job recommendation engine

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