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Build a prediction model to predict section ranks within category
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The idea of recommending sections to editors has arise as a possible strategy for expanding wikipedia stubs across languages. The main assumption behind this strategy is that for each type of article (i.e. biographies, countries, movies), there is a desirable structure (list of sections).

The aim of this work is i) to study the strength of the previous assumption, and ii) and rank sections names according to their predictive power for each article type.

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This comment was removed by diego.
leila renamed this task from Predict section ranks within category to Build a prediction model to predict section ranks within category.Sep 5 2017, 7:38 PM

@diego Dario likes to keep the tasks open and stacked in the Done lane, so he can use them at the time of quarterly review. For that purpose, I'm going to reopen this task and move it to Done.

leila moved this task from In Progress to Done (current quarter) on the Research board.