Change Details

Aim: Understand reading patterns of new users. What motivates users to create accounts. Note that this is a project as part of @MGerlach 's onboarding to become familiar more familiar with WMF-datasets. Here, the focus is on the webrequest logs. What: [] Identify new users. For example, new user is someone who clicked 'Create Account' button [] Extract reading visited pages before and after registration via webrequest logs [] Extract features of pages, e.g. namespace, topic, length, popularity [] Extract patterns of reading patterns - embedding in lower dimensional space - are there clsuters? - can we interpret the clusters? Begin with 1 (small) wiki-project.

Aim: Understand reading patterns of new users. What motivates users to create accounts. Note that this is a project as part of @MGerlach 's onboarding to become familiar more familiar with WMF-datasets. Here, the focus is on the webrequest logs. What: [x] Identify new users. For example, new user is someone who clicked 'Create Account' button [] Extract reading visited pages before and after registration via webrequest logs [] Extract features of pages, e.g. namespace, topic, length, popularity [] Extract patterns of reading patterns - embedding in lower dimensional space - are there clsuters? - can we interpret the clusters? Begin with 1 (small) wiki-project.

Aim: Understand reading patterns of new users. What motivates users to create accounts. Note that this is a project as part of @MGerlach 's onboarding to become familiar more familiar with WMF-datasets. Here, the focus is on the webrequest logs. What: [x] Identify new users. For example, new user is someone who clicked 'Create Account' button [] Extract reading visited pages before and after registration via webrequest logs [] Extract features of pages, e.g. namespace, topic, length, popularity [] Extract patterns of reading patterns - embedding in lower dimensional space - are there clsuters? - can we interpret the clusters? Begin with 1 (small) wiki-project.