PDA | SIGIR 2021 paper `` Causal Intervention

by zyang1580 Python Version: Current License: No License

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

kandi X-RAY | PDA Summary

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

This is an implemention for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias in Recommendation" based on tensorflow. This work was completed when Yang Zhang was an intern at WeChat, Tencent.

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Quality

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License

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Support

PDA has a low active ecosystem.

It has 77 star(s) with 23 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 5 have been closed. On average issues are closed in 5 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PDA is current.

Quality

PDA has no bugs reported.

Security

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

License

PDA 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

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

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Load user data .
parse command line arguments
Perform batch sampling .
Perform batch sampling .
Generator for n_batch_with_pop .
Compute BPR loss for two users .
Sample one user .
This function is used for multiprocessing .
Pad a list of sequences .
Generate n_batch_with_temp

Get all kandi verified functions for this library.

PDA Key Features

No Key Features are available at this moment for PDA.

PDA Examples and Code Snippets

No Code Snippets are available at this moment for PDA.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install PDA

You can download it from GitHub.
You can use PDA 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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