arunbhatg / Collaborative-Product-Recommendation-System-Using-users-Search-History

Its a Collaborative based Recommendation engine, that recommends product to the users by catching the product demand of users from their Search history data set and then using a collaborative engine with the other user's data set, it Recommends products, it used the concept of Concurrence matrix

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Collaborative-Product-Recommendation-System-Using-users-Search-History

Its a Collaborative based Recommendation engine, that recommends product to the users by catching the product demand of users from their Search history data set and then using a collaborative engine with the other user's data set, it Recommends products, it used the concept of Concurrence matrix #dataset It involved making of Sample Datset as well!

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Its a Collaborative based Recommendation engine, that recommends product to the users by catching the product demand of users from their Search history data set and then using a collaborative engine with the other user's data set, it Recommends products, it used the concept of Concurrence matrix


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Language:Jupyter Notebook 76.3%Language:Python 23.7%