Our system has several steps: First, we harness the Wikipedia knowl- edge graph to identify articles that exist in a source language but not in a target language. We then rank these missing articles by impor- tance. We do so by accurately predicting the potential future page view count of the missing articles.
The system involves identifying missing articles, ranking the missing articles according to their importance, and recommending important missing articles to ...
Apr 12, 2016 · The system involves identifying missing articles, ranking the missing articles according to their importance, and recommending important missing ...
This paper presents an end-to-end system for recommending articles for creation that exist in one language but are missing in an- other and finds that ...
General setup: ○ 12K emails were sent to French Wikipedia editors. ○ They each received five unique articles to create.
Apr 11, 2016 · The system involves identifying missing articles, ranking the missing articles according to their importance, and recommending important missing ...
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Duration: 7:48
Posted: Sep 30, 2016
Posted: Sep 30, 2016
Growing Wikipedia Across Languages via Recommendation Systems
upload.wikimedia.org › commons › Gro...
Growing Wikipedia Across Languages via Recommendation, Ellery Wulczyn, Robert West, Leila Zia, and Jure Leskovec. International World Wide Web (WWW) ...
We empirically validate our models in a controlled experiment involving 12,000 French Wikipedia editors. We find that personalizing recommendations increases ...
Duration: 49:02
Posted: Mar 15, 2017
Posted: Mar 15, 2017