Movie Recommendation Chatbot
Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Movie Recommendation Chatbot | 35 | 3 months ago | mit | Jupyter Notebook | ||||||
| Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses. | ||||||||||
| Graph Based Recommendation System | 29 | 7 years ago | Python | |||||||
| building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each. | ||||||||||
| Movie Recommendation Netflix | 29 | 4 years ago | n,ull | gpl-3.0 | Jupyter Notebook | |||||
| 🔮Trying to find the best movie to watch on Netflix can be a daunting. Case Study for Recommendation System of movies in Netflix.🔧 | ||||||||||
| Movie Recommender Using Rbm | 16 | 6 years ago | 2 | mit | Python | |||||
| A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering. | ||||||||||
| Investigate_tmdb_movies | 13 | 2 years ago | HTML | |||||||
| Investigating Dataset contains information about 10,000+ movies collected from The Movie Database (TMDb) | ||||||||||
| Data Science Starting | 6 | 4 years ago | Jupyter Notebook | |||||||
| Data science starting ⚛️ | ||||||||||
| Moviehype | 5 | 3 years ago | 4 | mit | HTML | |||||
| A Python based movie recommender hosted using Flask | ||||||||||
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Python
Jupyter Notebook
Artificial Intelligence
Natural Language Processing
Slack
Chatbot
Pandas
Scikit Learn
Recommendation System
Watson
Imdb
Slack Api