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https://github.com/jfkirk/tensorrec
A TensorFlow recommendation algorithm and framework in Python.
https://github.com/jfkirk/tensorrec
framework machine-learning python recommendation-algorithm recommendation-system recommender-system tensorflow
Last synced: about 1 month ago
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A TensorFlow recommendation algorithm and framework in Python.
- Host: GitHub
- URL: https://github.com/jfkirk/tensorrec
- Owner: jfkirk
- License: apache-2.0
- Created: 2017-02-28T18:51:11.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-05-22T21:34:54.000Z (about 1 year ago)
- Last Synced: 2024-02-29T22:22:23.048Z (3 months ago)
- Topics: framework, machine-learning, python, recommendation-algorithm, recommendation-system, recommender-system, tensorflow
- Language: Python
- Homepage:
- Size: 626 KB
- Stars: 1,249
- Watchers: 64
- Forks: 222
- Open Issues: 41
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Lists
- awesome-python - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python-cn - tensorrec
- Awesome-Python - TensorRec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - tensorrec - 2.0](https://api.github.com/licenses/apache-2.0)- A TensorFlow recommendation algorithm and framework in Python. (Awesome Python / Recommender Systems)
- Python-Awesome - TensorRec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- python-awesome-case1 - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- fucking-awesome-python - :octocat: tensorrec - :star: 1236 :fork_and_knife: 224 - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python-master - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- my-awesome-stars - jfkirk/tensorrec - A TensorFlow recommendation algorithm and framework in Python. (Python)
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- fucking-awesome-python - :octocat: tensorrec - :star: 1104 :fork_and_knife: 205 - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python-zh - tensorrec - TensorFlow中的推荐引擎框架。 (推荐系统)
- awesome-python - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python-resources - GitHub - 28% open · ⏱️ 04.02.2020): (推荐系统)
- awesome-python - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesomePython - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - TensorRec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python-master - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome_python_with_star - jfkirk/tensorrec
- awesome-python - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- git-github.com-vinta-awesome-python - TensorRec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- python-awesome - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - TensorRec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
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- awesome-python - TensorRec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- Mpaperlee-awesome-python - TensorRec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python-machine-learning-resources - GitHub - 28% open · ⏱️ 04.02.2020): (推荐系统)
- awesome_python - TensorRec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - TensorRec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - TensorRec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - TensorRec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - TensorRec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
- awesome-python - tensorrec - A Recommendation Engine Framework in TensorFlow. (Recommender Systems)
README
# TensorRec
A TensorFlow recommendation algorithm and framework in Python.[![PyPI version](https://badge.fury.io/py/tensorrec.svg)](https://badge.fury.io/py/tensorrec) [![Build Status](https://travis-ci.org/jfkirk/tensorrec.svg?branch=master)](https://travis-ci.org/jfkirk/tensorrec) [![Gitter chat](https://badges.gitter.im/tensorrec/gitter.png)](https://gitter.im/tensorrec)
## NOTE: TensorRec is not under active development
TensorRec will not be receiving any more planned updates. Please feel free to open pull requests -- I am happy to review them.
Thank you for your contributions, support, and usage of TensorRec!
-James Kirk, @jfkirk
For similar tools, check out:
[TensorFlow Ranking](https://github.com/tensorflow/ranking/)
[Spotlight](https://github.com/maciejkula/spotlight)
[LightFM](https://github.com/lyst/lightfm)
## What is TensorRec?
TensorRec is a Python recommendation system that allows you to quickly develop recommendation algorithms and customize them using TensorFlow.TensorRec lets you to customize your recommendation system's representation/embedding functions and loss functions while TensorRec handles the data manipulation, scoring, and ranking to generate recommendations.
A TensorRec system consumes three pieces of data: `user_features`, `item_features`, and `interactions`. It uses this data to learn to make and rank recommendations.
For an overview of TensorRec and its usage, please see the [wiki.](https://github.com/jfkirk/tensorrec/wiki)
For more information, and for an outline of this project, please read [this blog post.](https://medium.com/@jameskirk1/tensorrec-a-recommendation-engine-framework-in-tensorflow-d85e4f0874e8)
For an introduction to building recommender systems, please see [these slides.](https://www.slideshare.net/JamesKirk58/boston-ml-architecting-recommender-systems)
![TensorRec System Diagram](https://raw.githubusercontent.com/jfkirk/tensorrec/master/examples/system_diagram.png)
### Example: Basic usage
```python
import numpy as np
import tensorrec# Build the model with default parameters
model = tensorrec.TensorRec()# Generate some dummy data
interactions, user_features, item_features = tensorrec.util.generate_dummy_data(
num_users=100,
num_items=150,
interaction_density=.05
)# Fit the model for 5 epochs
model.fit(interactions, user_features, item_features, epochs=5, verbose=True)# Predict scores and ranks for all users and all items
predictions = model.predict(user_features=user_features,
item_features=item_features)
predicted_ranks = model.predict_rank(user_features=user_features,
item_features=item_features)# Calculate and print the recall at 10
r_at_k = tensorrec.eval.recall_at_k(predicted_ranks, interactions, k=10)
print(np.mean(r_at_k))
```## Quick Start
TensorRec can be installed via pip:
```pip install tensorrec```