Leila and Lani,
The Article Expansion Recommendation System is an absolutely
spectacular project, which will clearly very substantially improve the
encyclopedia in ways that perhaps no other single effort has come near
to being able, so I can't wait to learn more about it. But I might not
be able to make the live-stream time, so I want to get in this
question in advance:
Are you using or do you plan to use ORES quality predictions, the
upcoming article importance predictions, and pageview statistics to
rank article expansion recommendations?
The next Research Showcase will be live-streamed this
Wednesday, December
13, 2017 at 11:15 AM (PST) 18:15 UTC.
YouTube stream:
https://www.youtube.com/watch?v=OoVwus1Owtk
As usual, you can join the conversation on IRC at #wikimedia-research. And,
you can watch our past research showcases here.
This month's presentation:
"The State of the Article Expansion Recommendation System"
By Leila Zia
Only 1% of English Wikipedia articles are labeled with quality class Good
or better, and 37% of the articles are stubs. We are building an article
expansion recommendation system to change this in Wikipedia, across many
languages. In this presentation, I will talk with you about our current
thinking of the vision and direction of the research that can help us build
such a recommendation system, and share more about one specific area of
research we have heavily focused on in the past months: building a
recommendation system that can help editors identify what sections to add
to an already existing article. I present some of the challenges we faced,
the methods we devised or used to overcome them, and the result of the
first line of experiments on the quality of such recommendations (teaser:
the results are really promising. The precision and recall at 10 is 80%.)