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
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Convncf | 107 | 5 years ago | Python | |||||||
| Experimental codes for paper "Outer Product-based Neural Collaborative Filtering". | ||||||||||
| Graph4cner | 43 | 4 years ago | 8 | Python | ||||||
| Source code for the paper "Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network" | ||||||||||
| Recommender Systems With Collaborative Filtering And Deep Learning Techniques | 19 | 4 years ago | mit | Jupyter Notebook | ||||||
| Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques | ||||||||||
| Neural_cf | 9 | 5 years ago | Jupyter Notebook | |||||||
| Comparing keras, pytorch and gluon using neural collaborative filtering | ||||||||||
| Hybrid Weighted Embedding Recommender | 9 | 3 years ago | 4 | mit | Python | |||||
| 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 | ||||||||||
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Python
Deep Learning
Tensorflow
Collaboration
Embeddings
Recommendation System