RippleNet | This repository is a Tensorflow 2 implementation
kandi X-RAY | RippleNet Summary
kandi X-RAY | RippleNet Summary
RippleNet is a Python library. RippleNet has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
This repository is a Tensorflow 2 implementation of RippleNet (arXiv):. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems, Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo, The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018). RippleNet is a deep end-to-end model that naturally incorporates the knowledge graph into recommender systems. Ripple Network overcomes the limitations of existing embedding-based and path-based KG-aware recommendation methods by introducing preference propagation, which automatically propagates users' potential preferences and explores their hierarchical interests in the KG.
This repository is a Tensorflow 2 implementation of RippleNet (arXiv):. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems, Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo, The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018). RippleNet is a deep end-to-end model that naturally incorporates the knowledge graph into recommender systems. Ripple Network overcomes the limitations of existing embedding-based and path-based KG-aware recommendation methods by introducing preference propagation, which automatically propagates users' potential preferences and explores their hierarchical interests in the KG.
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RippleNet has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
RippleNet has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of RippleNet is current.
Quality
RippleNet has no bugs reported.
Security
RippleNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
RippleNet is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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RippleNet releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of RippleNet
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of RippleNet
RippleNet Key Features
No Key Features are available at this moment for RippleNet.
RippleNet Examples and Code Snippets
No Code Snippets are available at this moment for RippleNet.
Community Discussions
No Community Discussions are available at this moment for RippleNet.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install RippleNet
Tested using Python 3.7 and Tensorflow 2.2.0. You should setup the following virtual environment and install the required packages:.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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