Movies/TV Recommender.
Recommends Movies, TV Shows, Actors, Directors, Writers.
Create file API_KEY and paste your TMDB API key in it.
Install requirements:
pip install requirements.txt
streamlit run recommender.py
QRec is a Python framework for recommender systems (Supported by Python 3.7.4 and Tensorflow 1.14+) in which a number of influential and newly state-of-the-art recommendation models are implemented.
concierge A continuous learning collaborative filter1 deployed with a light web server2. Distributed updates are live (real time pubsub + delta traini
FairGo WWW2021 Learning Fair Representations for Recommendation: A Graph-based Perspective As a key application of artificial intelligence, recommende
PUP This is the official implementation of our ICDE'20 paper: Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin, Price-aware Recommendation with Gr
Annoy Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given quer
KHGT Code for KHGT accepted by AAAI2021 Please unzip the data files in Datasets/ first. To run KHGT on Yelp data, use python labcode_yelp.py For Movi
Citing fastFM The library fastFM is an academic project. The time and resources spent developing fastFM are therefore justified by the number of citat
This repo contains a tensorflow implementation of RecoGCN and the experiment dataset Running the RecoGCN model python train.py Example training outp
Recommendation-Systems-for-IBM-Watson-Studio-platform Project Overview In this project, I analyze the interactions that users have with articles on th
TorchRec (Experimental Release) TorchRec is a PyTorch domain library built to provide common sparsity & parallelism primitives needed for large-scale
A library of Recommender Systems This repository provides a summary of our research on Recommender Systems. It includes our code base on different rec
MKM-SR Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation Paper data and code This is the
recommendersystem Recommendation System to recommend top books from the dataset Introduction The recom.py is the main program code. The dataset is als
News-Recommendation-system-using-Bert4Rec-model Bert4rec for news Recommendation
Explainable Mutual Fund Recommendation Data Please see 'DATA_DESCRIPTION.md' for mode detail. Recommender System Methods Baseline Collabarative Fiilte
This project is based on cloud services to create data lake, ETL process, train and deploy learning model to implement a recommendation system.
Collaborative Variational Bandwidth Auto-encoder The codes are associated with the following paper: Collaborative Variational Bandwidth Auto-encoder f
DANSER-WWW-19 This repository holds the codes for Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recom
Bundle Graph Convolutional Network This is our Pytorch implementation for the paper: Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin and Yong Li. Bun
Books-Recommendation Business Problem During the last few decades, with the rise
1.4k Dec 27, 2022
16 Nov 07, 2022
39 Oct 26, 2022
3 Oct 30, 2022
10.6k Jan 01, 2023
32 Nov 29, 2022
1k Dec 24, 2022
30 Nov 25, 2022
1 Jan 21, 2022
1.3k Jan 05, 2023
980 Jan 05, 2023
38 Dec 05, 2022
1 Nov 15, 2021
2 Feb 04, 2022
2 May 19, 2022
1 Feb 02, 2022
14 Dec 11, 2022
78 Dec 10, 2022
55 Dec 25, 2022
7 Mar 12, 2022