Alternatives and similar repositories for Restaurant-Recommendations-with-Yelp

Users that are interested in Restaurant-Recommendations-with-Yelp are comparing it to the libraries listed below

• sukeshsangam / Deep-Learning-Model-for-Hybrid-Recommendation-Engine
  A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative fi…
  ☆32Updated 6 years ago
• saurabhmathur96 / movie-recommendations
  Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference
  ☆19Updated 5 years ago
• Chinmayrane16 / Recommender-Systems-with-Collaborative-Filtering-and-Deep-Learning-Techniques
  Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques
  ☆62Updated 4 years ago
• ChenBoSyun / implement-Collaborative-Deep-Learning-for-Recommender-Systems
  implement this paper "Collaborative Deep Learning for Recommender Systems" by python
  ☆15Updated 6 years ago
• alexvlis / movie-recommendation-system
  Movie Recommendation System using the MovieLens dataset
  ☆19Updated 7 years ago
• colby-j-wise / Deep_Learning_Recommender_System
  Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python
  ☆52Updated 7 years ago
• tangrizzly / 3RecommendationSystemAlgorithms
  SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset
  ☆51Updated 7 years ago
• ashishrana160796 / online-course-recommendation-system
  Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.
  ☆46Updated 6 years ago
• nnimish19 / hybrid-recommender-system
  uses collaborative and content based filtering techniques
  ☆14Updated 8 years ago
• csaluja / JupyterNotebooks-Medium
  ☆124Updated 6 years ago
• xiaoouzhang / Collaborative-Deep-Learning-for-Recommender-Systems
  The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …
  ☆71Updated 6 years ago
• nhemanthrao23 / bigdataproject
  Analyzing yelp reviews using topic modelling and aspect mining
  ☆15Updated 7 years ago
• bhavik08 / Group-movie-recommender-system
  Matrix Factorization based Movie Recommender System for group of users.
  ☆14Updated 8 years ago
• harshraj11584 / Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix
  [Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky
  ☆30Updated 6 years ago
• revantkumar / Collaborative-Filtering
  Implemented Item, User and Hybrid based Collaborative Filtering
  ☆158Updated 9 years ago
• maitray16 / Movie-Recommendation-using-LightFM
  This example uses the lightfm recommender system library to train a hybrid content-based + collaborative algorithm that uses the WARP los…
  ☆9Updated 8 years ago
• deepakshankar94 / Movie-Recommendation-System
  Movie recommendation system built with factorization machines and deep learning
  ☆10Updated 6 years ago
• jyu-theartofml / Collaborative_filtering
  Recommendation system for music.
  ☆15Updated 2 years ago
• dvgodoy / YelpDatasetChallenge
  Restaurant recommendations and review text-based quality predictions
  ☆20Updated 8 years ago
• RuidongZ / Deep_Matrix_Factorization_Models
  Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
  ☆208Updated 6 years ago
• u128str / Netflix-Movie-Recommendation-System
  A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
  ☆39Updated 6 years ago
• yxtay / recommender-tensorflow
  Recommendation Models in TensorFlow
  ☆46Updated 6 years ago
• TaihuaLi / Movielens-Recommender
  Course project for Programing Machine Learnings Applications class
  ☆12Updated 8 years ago
• piyushpathak03 / Recommendation-systems
  Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory:…
  ☆192Updated 10 months ago
• artem-oppermann / Deep-Autoencoders-For-Collaborative-Filtering
  Using Deep Autoencoders for predictions of movie ratings.
  ☆113Updated 2 years ago
• AaronHeee / Neural-Attentive-Item-Similarity-Model
  TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018
  ☆147Updated 6 years ago
• mandeep147 / Amazon-Product-Recommender-System
  Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
  ☆246Updated 7 years ago
• thanhdtran / RME
  Regularizing Matrix Factorization with User and Item Embeddings for Recommendation -- CIKM 2018
  ☆46Updated 6 years ago
• chandan-u / graph-based-recommendation-system
  building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe t…
  ☆64Updated 8 years ago
• viyatgandhi / content-based-recommendation-system
  content-based recommendation system using numpy and scipy
  ☆11Updated 8 years ago