WSKNN - Weighted Session-based K-NN recommender system
WSKNN - Weighted Session-based K-NN recommender system - Published in JOSS (2023)
https://github.com/recommenders-team/recommenders
Best Practices on Recommendation Systems
https://github.com/deeprec-ai/deeprec
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
https://github.com/ryanashcraft/collaborativefiltering
In-memory recommendation algorithm for Swift apps
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.
fashion-image-recommender
Image Recommendation via similarity retrieval through deep learning