recommender_system | scrapy framework to crawl Weibo data

by ywcmaike Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | recommender_system Summary

recommender_system is a Python library. recommender_system has no bugs, it has no vulnerabilities and it has low support. However recommender_system build file is not available. You can download it from GitHub.

Use the scrapy framework to crawl Weibo data and store it in mongodb, and use python libraries such as numpy/tensorflow to process the data (based on the transE algorithm) to form a recommendation system. Use the Springboot framework to realize the visualization of the system. There are different b

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Quality

Security

License

Reuse

Support

recommender_system has a low active ecosystem.

It has 15 star(s) with 10 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 1224 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of recommender_system is current.

Quality

recommender_system has 0 bugs and 0 code smells.

Security

recommender_system has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

recommender_system code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

recommender_system does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

recommender_system releases are not available. You will need to build from source code and install.

recommender_system has no build file. You will be need to create the build yourself to build the component from source.

recommender_system saves you 142 person hours of effort in developing the same functionality from scratch.

It has 355 lines of code, 10 functions and 10 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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recommender_system Key Features

No Key Features are available at this moment for recommender_system.

recommender_system Examples and Code Snippets

No Code Snippets are available at this moment for recommender_system.

Community Discussions

No Community Discussions are available at this moment for recommender_system.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install recommender_system

You can download it from GitHub.
You can use recommender_system like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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