bhavik08 / Group-movie-recommender-systemLinks
Matrix Factorization based Movie Recommender System for group of users.
☆14Updated 8 years ago
Alternatives and similar repositories for Group-movie-recommender-system
Users that are interested in Group-movie-recommender-system are comparing it to the libraries listed below
Sorting:
- Implementation of the "Deep Matrix Factorization Models for Recommender Systems"☆209Updated 7 years ago
- Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python☆52Updated 8 years ago
- Attentive Group Recommendation☆136Updated 5 years ago
- ☆101Updated 5 years ago
- SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset☆51Updated 7 years ago
- The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …☆73Updated 7 years ago
- TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018☆149Updated 6 years ago
- This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation☆51Updated last year
- Several sequential recommended models implemented by tenosrflow1.x☆119Updated 4 years ago
- Code and Dataset intruction for our paper "Where Could We Go? Recommendations for Groups in Location-Based Social Networks" presented at …☆17Updated 2 years ago
- implement this paper "Collaborative Deep Learning for Recommender Systems" by python☆15Updated 7 years ago
- Next location prediction based on Theano☆94Updated 5 years ago
- Movie recommendation system built with factorization machines and deep learning☆10Updated 6 years ago
- This repository contains some datasets that I have collected in Recommender Systems.☆359Updated 5 years ago
- Code to reproduce paper "Exploring Longitudinal Effects of Session-based Recommendations" in RecSys 2020☆15Updated 3 years ago
- Python implementation of "Factorizing Personalized Markov Chains for Next-Basket Recommendation"☆99Updated 9 years ago
- Autorec (Autoencoders Meet Collaborative Filtering)☆137Updated 7 years ago
- A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)☆108Updated 3 years ago
- A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF☆47Updated 5 years ago
- Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference☆19Updated 6 years ago
- Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous informatio…☆191Updated 7 years ago
- ☆74Updated 6 years ago
- TensorFlow implemenation of GRu4Rec model☆219Updated 6 years ago
- TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings☆22Updated 7 years ago
- KDD2019☆30Updated 5 years ago
- implementation for the paper "FISM: Factored Item Similarity Models for Top-N Recommender Systems" by Tensorflow 1.2☆22Updated 7 years ago
- Item Silk Road: Recommending Items from Information Domains to Social Users, SIGIR2017☆39Updated 6 years ago
- Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".☆139Updated 6 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆93Updated 6 years ago
- The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the proble…☆119Updated 6 years ago