tlatkowski / neural-recommender
Neural recommender system implementation in TensorFlow.
☆15Updated last year
Alternatives and similar repositories for neural-recommender:
Users that are interested in neural-recommender are comparing it to the libraries listed below
- From Word Embeddings to Item Recommendation☆10Updated last year
- An offline evaluation framework for sequence-based recommender systems☆13Updated 5 years ago
- Session based Recommendation, RecSys, TensorFlow☆22Updated 6 years ago
- This is a new deep learning model for recommender system, which we called PHD☆32Updated 6 years ago
- GRu4Rec in TensorFlow☆14Updated 6 years ago
- Implementation of AutoSVD++ (SIGIR 2017)☆15Updated 6 years ago
- Our solution for Recsys Challenge 2017.☆20Updated 6 years ago
- This project demonstrates the use of generic bi-directional LSTM models for predicting importance of words in a spoken dialgoue for under…☆10Updated last year
- Incremental matrix factorization with incremental SGD algorithm [J. Vinagre, et al., 2014]☆18Updated 9 years ago
- Contextual Recommendation Implementation for Research Purposes☆19Updated 7 months ago
- Introduction Notebook to Extreme Multi-Label Classification problem (XML)☆22Updated 6 years ago
- ☆9Updated last year
- ☆27Updated 5 years ago
- Implentation of the Factorization Machine with Bayesian Personalize Ranking criterion☆8Updated 10 years ago
- Predict and recommend the news articles, user is most likely to click in real time.☆30Updated 6 years ago
- Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.☆53Updated 5 years ago
- Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial☆22Updated 7 years ago
- code for ResSys'18 paper: "Exploring Recommendations Under User-Controlled Data Filtering"☆23Updated 6 years ago
- Convolutional Neural Network for Click-Through Rate prediction.☆15Updated 8 years ago
- A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).☆60Updated 6 years ago
- Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"☆39Updated 7 years ago
- A neural text process python lib for context-based feature extraction on Seq-Tagging data.☆10Updated 6 years ago
- Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation in R and Python☆15Updated 7 years ago
- This is the libMF source files with comments in Chinses.☆29Updated 10 years ago
- CIKM 2019 E-Commerce AI Challenge - 超大规模推荐之用户兴趣高效检索☆11Updated 3 years ago
- ☆19Updated 6 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Updated 3 years ago
- This is a Tensorflow implementation of the End-to-End Memory Network applied to the Ubuntu Dialog Corpus. The model can be compared to a …☆11Updated 8 years ago
- Favorite AI papers☆16Updated 7 years ago
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆21Updated 3 years ago