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The Wikimedia Foundation has recently observed that newly joining editors onWikipedia are increasingly failing to integrate into the Wikipedia editors'community, i.e. the community is becoming increasingly harder to penetrate. Tosustain healthy growth of the community, the Wikimedia Foundation aims toquantitatively understand the factors that determine the editing behavior, andexplain why most new editors become inactive soon after joining. As a steptowards this broader goal, the Wikimedia foundation sponsored the ICDM (IEEEInternational Conference for Data Mining) contest for the year 2011.  The objective for the participants was to develop models to predict thenumber of edits that an editor will make in future five months based on theediting history of the editor. Here we describe the approach we followed fordeveloping predictive models towards this goal, the results that we obtainedand the modeling insights that we gained from this exercise. In addition,towards the broader goal of Wikimedia Foundation, we also summarize the factorsthat emerged during our model building exercise as powerful predictors offuture editing activity.

Insights from the Wikipedia Contest (IEEE Contest for Data Mining 2011)