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Simple Model which Ranks the relevancy of objects for a given search

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SONAIII/SearchRelevancyPredictionModel

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Search Relevancy Ranking Model

Just a simple try to implement the model which finds out the probability of click for each search_id

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Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

Installing

  1. Clone the Repository

    git clone https://github.com/SONAIII/SearchRelevancyPredictionModel.git
  2. Build the Docker Image

    cd SearchRelevancyPredictionModel
    docker build -t search_rel_model .
  3. Run the Docker Container

    docker run -p 4000:80 search_rel_model

Built With

  • Numpy, Pandas, Matplotlib
  • Scikit-Learn - Machine learning library for Python.
  • Docker - Containerization platform.

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Simple Model which Ranks the relevancy of objects for a given search

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