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README.md

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# Recommender-System
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# Hyybrid Recommendation System
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This project is implementation of a hybrid recommender system:
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* Model-based Collaborative-filtering technique in PyTorch
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* Bayesian Average method.
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the Model-based Collaborative-filtering technique uses non-negative matrix factorization and is applied for existing users. In case of adding new user to database without any historical data (cold start), the Bayesian Average has been applied.

recsys.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# **Recommendation system**\n",
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"here we will build a hybrid recommender system using Model-based Collaborative-filtering tecnique in PyTorch and Bayesian average method."
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"# **Recommendation system**"
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]
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{

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