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GitHub / 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
Stars: 13
Forks: 2
Open Issues: 17
License: mit
Language: Python
Repo Size: 1020 KB
Dependencies:
163
Created: over 4 years ago
Updated: over 1 year ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Topics: deep-learning, embeddings, hybrid-recommender-system, recommendation-system, recommender-system, tensorflow
Files
Dependencies
- Click ==7.0
- Cython ==0.29.13
- Deprecated ==1.2.6
- Jinja2 ==2.10.3
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.1.1
- MarkupSafe ==1.1.1
- MulticoreTSNE ==0.1
- Pillow ==6.2.1
- Pygments ==2.4.2
- Send2Trash ==1.5.0
- SudachiPy ==0.4.0
- Werkzeug ==0.16.0
- absl-py ==0.8.1
- appnope ==0.1.0
- astor ==0.8.0
- atomicwrites ==1.3.0
- attrs ==19.2.0
- backcall ==0.1.0
- beautifulsoup4 ==4.8.1
- bidict ==0.18.3
- bleach ==3.1.1
- blis ==0.4.1
- bpemb ==0.3.0
- certifi ==2019.9.11
- cffi ==1.13.1
- chardet ==3.0.4
- cloudpickle ==1.2.2
- cryptography ==2.8
- cycler ==0.10.0
- cymem ==2.0.2
- dartsclone ==0.6
- decorator ==4.4.0
- defusedxml ==0.6.0
- dgl ==0.4.2
- dill ==0.3.1.1
- editdistance ==0.5.3
- en-core-web-sm ==2.2.0
- entrypoints ==0.3
- fasttext ==0.9.1
- flair ==0.4.4
- future ==0.18.2
- gast ==0.2.2
- gensim ==3.8.1
- google-pasta ==0.1.7
- graphviz ==0.13.2
- h5py ==2.10.0
- hnswlib ==0.3.4
- hyperopt ==0.2.2
- idna ==2.8
- importlib-metadata ==0.23
- ipykernel ==5.1.2
- ipython ==7.6.1
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- jedi ==0.15.1
- jmespath ==0.9.4
- joblib ==0.14.0
- jsonschema ==3.0.2
- kiwisolver ==1.1.0
- kytea ==0.1.4
- langdetect ==1.0.7
- llvmlite ==0.29.0
- matplotlib ==3.1.1
- mistune ==0.8.4
- more-itertools ==7.2.0
- mpld3 ==0.3
- murmurhash ==1.0.2
- natto-py ==0.9.0
- nb-conda ==2.2.1
- nb-conda-kernels ==2.2.2
- nbconvert ==5.6.0
- nbformat ==4.4.0
- networkx ==2.4
- nltk ==3.4.5
- nmslib ==1.8.1
- notebook ==6.0.1
- numba ==0.45.1
- numpy ==1.17.3
- opt-einsum ==3.1.0
- optuna ==1.1.0
- packaging ==19.2
- pandas ==0.25.2
- pandocfilters ==1.4.2
- parso ==0.5.1
- patsy ==0.5.1
- pexpect ==4.7.0
- pickleshare ==0.7.5
- plac ==1.1.3
- pluggy ==0.13.0
- preshed ==3.0.2
- prometheus-client ==0.7.1
- prompt-toolkit ==2.0.10
- protobuf ==3.10.0
- ptyprocess ==0.6.0
- py ==1.8.0
- pyOpenSSL ==19.1.0
- pybind11 ==2.4.3
- pycparser ==2.19
- pydot ==1.4.1
- pymongo ==3.9.0
- pyparsing ==2.4.2
- pyrsistent ==0.15.4
- pytest ==5.2.2
- python-dateutil ==2.8.0
- pytidylib ==0.3.2
- pytz ==2019.3
- pyzmq ==18.1.0
- qtconsole ==4.5.5
- regex ==2019.8.19
- requests ==2.22.0
- s3transfer ==0.2.1
- sacremoses ==0.0.35
- scikit-learn ==0.21.3
- scikit-surprise ==1.1.0
- scipy ==1.3.1
- seaborn ==0.9.0
- segtok ==1.5.7
- sentencepiece ==0.1.83
- six ==1.12.0
- smart-open ==1.8.4
- sortedcontainers ==2.1.0
- soupsieve ==1.9.4
- spacy ==2.2.2
- spotlight ==1.0.7
- sqlitedict ==1.6.0
- srsly ==0.2.0
- stanfordnlp ==0.2.0
- statsmodels ==0.10.1
- tabulate ==0.8.5
- tensorflow ==2.1.0
- termcolor ==1.1.0
- terminado ==0.8.2
- testpath ==0.4.2
- thinc ==7.3.1
- tiny-tokenizer ==3.0.1
- tmdbsimple ==2.2.0
- torch ==1.3.1
- torch_optimizer *
- torchvision ==0.4.1
- tornado ==6.0.3
- tqdm ==4.36.1
- traitlets ==4.3.3
- transformers ==3.0.2
- umap-learn ==0.3.10
- urllib3 ==1.24.3
- wasabi ==0.3.0
- wcwidth ==0.1.7
- webencodings ==0.5.1
- widgetsnbextension ==3.5.1
- wrapt ==1.11.2
- zipp ==0.6.0