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Apr 16, 2024 - Jupyter Notebook
movielens-movie-recommendation
Here are 14 public repositories matching this topic...
Recommendation Systems (Collaborative Filtering) Experiments on MovieLens Datasets
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Feb 1, 2024 - Jupyter Notebook
Movies Recommendation Systems with Personalization
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Sep 17, 2023 - Jupyter Notebook
Recommendation Engine powered by Matrix Factorization.
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Jul 26, 2023 - Python
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
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Mar 30, 2023 - Jupyter Notebook
This is a project made as a part of my data science master's program to analyze and draw inference from Movielens data.
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Aug 31, 2022 - Jupyter Notebook
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Aug 4, 2022 - Jupyter Notebook
.Personalized recommendation system built on top of a multiplicative LSTM.
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May 1, 2022 - Jupyter Notebook
The repository consists of a recommendation engine that suggests movies to the users based on the genre and ratings previously received. Under the hood, a neural collaborative filtering technique has been implemented
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Aug 1, 2021 - Jupyter Notebook
This project involves using Pyspark to create a recommendation system on the Google Cloud Platform
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Jan 10, 2021 - Jupyter Notebook
Data analysis and movie recommendation of OpenMovie dataset by using the shell, Python, Cosine Similarity algorithm, Apache PySpark, and Apache Hadoop.
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Dec 23, 2020 - Python
Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
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Dec 21, 2020 - Jupyter Notebook
Amazon Personalize / MovieLens inference utility/demo scripts
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Nov 6, 2020 - Python
Movie Recommended System- From Movielens dataset we need to recommend the most rated movie as well as the average rating of the movie.
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Mar 30, 2019 - Jupyter Notebook
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