Hi Everyone,
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%.)
Apologies, a clarification about the time:
This will be at 11:30AM (PST) 19:30 UTC.
On Mon, Dec 11, 2017 at 4:21 PM, Lani Goto lgoto@wikimedia.org wrote:
Hi Everyone,
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%.)
-- Lani Goto Project Assistant, Engineering Admin
Hi Lani, I looked up precision and recall in the Wikipedia article, but could not work out what is meant by "The precision and recall at 10 is 80%" Cheers, Peter
-----Original Message----- From: Wikimedia-l [mailto:wikimedia-l-bounces@lists.wikimedia.org] On Behalf Of Lani Goto Sent: 12 December 2017 03:22 To: wikimedia-l@lists.wikimedia.org; analytics@lists.wikimedia.org; wiki-research-l@lists.wikimedia.org Subject: Re: [Wikimedia-l] December 2017 Research Showcase
Apologies, a clarification about the time:
This will be at 11:30AM (PST) 19:30 UTC.
On Mon, Dec 11, 2017 at 4:21 PM, Lani Goto lgoto@wikimedia.org wrote:
Hi Everyone,
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%.)
-- Lani Goto Project Assistant, Engineering Admin
-- Lani Goto Project Assistant, Engineering Admin _______________________________________________ Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and https://meta.wikimedia.org/wiki/Wikimedia-l New messages to: Wikimedia-l@lists.wikimedia.org Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, mailto:wikimedia-l-request@lists.wikimedia.org?subject=unsubscribe
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Hi everyone, the showcase will be starting in 30 minutes.
On Mon, Dec 11, 2017 at 5:22 PM, Lani Goto lgoto@wikimedia.org wrote:
Apologies, a clarification about the time:
This will be at 11:30AM (PST) 19:30 UTC.
On Mon, Dec 11, 2017 at 4:21 PM, Lani Goto lgoto@wikimedia.org wrote:
Hi Everyone,
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%.)
-- Lani Goto Project Assistant, Engineering Admin
-- Lani Goto Project Assistant, Engineering Admin
wikimedia-l@lists.wikimedia.org