arXivDigest | accelerating pace at which scientific knowledge

by iai-group Python Version: Current License: MIT

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

kandi X-RAY | arXivDigest Summary

arXivDigest is a Python library. arXivDigest 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.

Motivated by the accelerating pace at which scientific knowledge is being produced, we aim to provide a recommendation service that helps researchers to keep up with scientific literature. Based on their interest profiles, researchers can receive a personalized email digest of the most recent papers published at arXiv at regular intervals. Further, users can give explicit feedback (by saving articles) to improve future recommendations.

Support

Quality

Security

License

Reuse

Support

arXivDigest has a low active ecosystem.

It has 17 star(s) with 0 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 91 have been closed. On average issues are closed in 10 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of arXivDigest is current.

Quality

arXivDigest has no bugs reported.

Security

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

License

arXivDigest is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

arXivDigest 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.

Top functions reviewed by kandi - BETA

kandi has reviewed arXivDigest and discovered the below as its top functions. This is intended to give you an instant insight into arXivDigest implemented functionality, and help decide if they suit your requirements.

Find the author candidates by score
Computes the edit distance between the given suggestion
Get statistics for a system
Returns True if user is the owner of a system
Generate suggestions for each user
Write suggestions to file
Find author candidates by frequency
Get feedback topics for given ids
Get database connection
Return a dictionary of user feedback articles
Return a dict of users
Get all ARX records by date
Parses the XML file into a dictionary
Set the recommended feedback for an article
Check to see if an article is recommended
Get feedback for a given system
Inserts a user into the database
Fetch a list of OpenAI - CIRs
Insert feedback
Get article statistics
Get all users statistics
Inserts the given meta data into the database
Calculates normalized rewards for a given date range
Count the article feedback amounts
Signup a user
Activate a system

Get all kandi verified functions for this library.

arXivDigest Key Features

No Key Features are available at this moment for arXivDigest.

arXivDigest Examples and Code Snippets

No Code Snippets are available at this moment for arXivDigest.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install arXivDigest

You can download it from GitHub.
You can use arXivDigest 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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