UC-Filter

User-Content Filter Module via Statistical Analysis of User-Content Rating Matrix

Introduction

User-Content Filter is a implementation of aSTEAM Project (Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT). The function of this module is to downsize datasets with smaller system parameters, consisting of popular contents that were rated by active users, which thus alleviates the difficulty of analysis in mobile networks with large system parameters.

Requirements and Dependencies

• python >= 3.7

Instructions

• Prepare base data that contains a set of contents and a set of users who have reacted to some of the contents. (data format: ['id', 'user', 'content', 'rating'])
• Execute uc-filter.py

$ python uc-filter.py BASE_DATA_FILE OUTPUT_FILE USER_SIZE CONTENT_SIZE REMOVE_SIZE

BASE_DATA_FILE: base data file's path

OUTPUT_FILE: output file's path

USER_SIZE: user size of filtered user-content rating matrix

CONTENT_SIZE: content size of filtered user-content rating matrix

REMOVE_SIZE: removing the top-N to prevent matrix from becoming too dense