Divyanshu169 / IT556_Worthless_without_coffee_DA-IICT_Final_ProjectLinks
This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.
☆17Updated 5 years ago
Alternatives and similar repositories for IT556_Worthless_without_coffee_DA-IICT_Final_Project
Users that are interested in IT556_Worthless_without_coffee_DA-IICT_Final_Project are comparing it to the libraries listed below
Sorting:
- Movie recommendation system built with factorization machines and deep learning☆10Updated 6 years ago
- 4 different recommendation engines for the MovieLens dataset.☆445Updated 6 years ago
- building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe t…☆68Updated 8 years ago
- ☆123Updated 7 years ago
- Recommendation System using ML and DL☆517Updated 3 years ago
- A news recommendation system tailored for user communities☆208Updated 8 years ago
- Movie Recommendation System using the MovieLens dataset☆19Updated 7 years ago
- Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html☆251Updated 8 years ago
- Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python☆52Updated 7 years ago
- A pure Python implement of Collaborative Filtering based on MovieLens' dataset.☆184Updated 5 years ago
- From the Kindle Store Reviews on Amazon, sentiment analysis and book recommendation. Used Keras, FastText from Torch, and BERT. For recom…☆30Updated 5 years ago
- Hands-On Recommendation Systems with Python published by Packt☆272Updated 2 years ago
- Build Book Recommendation System based on user-based and item-based collaborative filtering approaches.☆17Updated 7 years ago
- Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems☆499Updated last year
- A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.☆34Updated 7 years ago
- Book recommender system using collaborative filtering based on Spark☆390Updated 8 years ago
- Data exploration of MovieLens and IMDb datasets to create Movinder. Movie recommendation system for a group of people.☆34Updated 5 years ago
- GHRS: Graph-based hybrid recommendation system with application to movie recommendation☆36Updated last year
- Course project for Programing Machine Learnings Applications class☆12Updated 9 years ago
- SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset☆51Updated 7 years ago
- Build a Book Recommendation System using Goodreads data (10k books)☆13Updated 2 years ago
- Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference☆19Updated 6 years ago
- ☆63Updated 3 years ago
- Recommendation Models in TensorFlow☆47Updated 7 years ago
- A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative fi…☆31Updated 7 years ago
- Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.☆53Updated 6 years ago
- implement this paper "Collaborative Deep Learning for Recommender Systems" by python☆15Updated 7 years ago
- Implemented Item, User and Hybrid based Collaborative Filtering☆159Updated 10 years ago
- A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF☆47Updated 5 years ago
- 本项目使用两种算法来实现一个电影推荐系统,一个是CNN,另一个是矩阵分解的协同过滤。☆136Updated 7 years ago