On this week I was make the following issues: - Fix repository scripts: This repository contains the scripts to helper the work with AppRecommender and the popularity-contest data, one of these scripts, its the script to generate clusters of popularity-contest data. link to repository: https://gitlab.com/TCC-AppRecommender/scripts
- Change save popcon clusters method: Before the data generated by the script was saved with python-pickle, now this data is saved with text on files, to be used with any language - Update AppRecommender load popcon clusters: The AppRecommender was updated to read the files without pickle, but with text on files, with this the tests have also been updated. - Optimize memory consumption on collect popcon data: Before the script was consuming more than 7% of the memory for read 1300 submissions. Now the script is consuming better than 1.4% of the memory for read 1300 submissions. The memory of my PC is 8GB Link for the issues of week 2: https://gitlab.com/AppRecommender/AppRecommender/milestones/2 For the next week the focus is continue improving the memory consumption, and if possible improve the time for read the popularity-contest submissions and research about the security of users data Link for the issues of the week 3: https://gitlab.com/AppRecommender/AppRecommender/milestones/5
