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Leveraging collaborative filtering and machine learning techniques, this platform offers personalized job recommendations based on user preferences and improved job search experiences.

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Muhammad-Mahir157/Job-Recommender-System

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Job-Recommender-System

Overview

A job recommender based on collaborative filtering which will provide recommendation to a user when the user searches something through a query. The recommender system would be built on a given data and a GUI would be implemented to display the results. The model would be based on the Collaborative Filtering ML technique that identifies the relationship between pieces of data.

Scope:

  1. The objective of this recommender system is to provide recommendations based on recorded information on the user’s preference.
  2. This system uses information filtering techniques to process information and provide the user with more relevant data to their specific needs.
  3. The recommender system would be based on the collaborative filtering that uses similarities between users and items simultaneously to provide recommendations. It works in a way that even a recommendation would be provided to a user A based on another user B having similar interests

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Leveraging collaborative filtering and machine learning techniques, this platform offers personalized job recommendations based on user preferences and improved job search experiences.

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