faizanahemad / Hybrid-Weighted-Embedding-Recommender
A Hybrid Recommendation system which uses Content embeddings and augments them with collaborative features. Weighted Combination of embeddings enables solving cold start with fast training and serving
☆17Updated 2 years ago
Alternatives and similar repositories for Hybrid-Weighted-Embedding-Recommender:
Users that are interested in Hybrid-Weighted-Embedding-Recommender are comparing it to the libraries listed below
- The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …☆70Updated 6 years ago
- Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python☆51Updated 7 years ago
- This is a new deep learning model for recommender system, which we called PHD☆32Updated 6 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 7 years ago
- some papers about the recommender system☆22Updated 6 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆93Updated 5 years ago
- Recommendation Models in TensorFlow☆46Updated 6 years ago
- TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation☆100Updated last year
- Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.☆53Updated 6 years ago
- DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System☆66Updated 2 years ago
- Temporal Collaborative Topic Regression for recommendation. Extends Collaborative Topic Modelling (Wang and Blei) to consider the tempora…☆11Updated 6 years ago
- A method collection for top-k recommendation☆63Updated 3 years ago
- Finding relevant source domain for a cross-domain recommendation system using Unified Content-based Collaborative Filtering (CCCFNet mode…☆19Updated 6 years ago
- Regularizing Matrix Factorization with User and Item Embeddings for Recommendation -- CIKM 2018☆46Updated 6 years ago
- Sequential User-based Recurrent Neural Network Recommendations☆9Updated 6 years ago
- Recommendation Alogrithms code by pytorch☆14Updated 6 years ago
- TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018☆147Updated 5 years ago
- Factorization Machine, Deep Learning, Recommender System☆18Updated 7 years ago
- ☆14Updated 5 years ago
- algorithms about recommender systems:probabilistic matrix factorization☆25Updated 7 years ago
- Session based Recommendation, RecSys, TensorFlow☆22Updated 7 years ago
- This is our implementation of ENSFM: Efficient Non-Sampling Factorization Machines (WWW 2020)☆35Updated 4 years ago
- deep learning for recommender system☆44Updated 6 years ago
- Implementation of AutoSVD++ (SIGIR 2017)☆15Updated 6 years ago
- The resources for the paper "User Modeling with Click Preference and Reading Satisfaction for News Recommendation"☆11Updated 4 years ago
- A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆76Updated 6 years ago
- SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset☆51Updated 7 years ago
- ☆73Updated 5 years ago
- Keras implementation of GRU4Rec session-based recommender system☆106Updated 8 months ago
- Item Silk Road: Recommending Items from Information Domains to Social Users, SIGIR2017☆39Updated 5 years ago