{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/wikipedia-edit-number-prediction-based-on","title":"Wikipedia Edit Number Prediction based on Temporal Dynamics Only","arxiv_id":"1110.5051","date":"2011-10-23","proceeding":null,"authors":["Dell Zhang"],"abstract":"In this paper, we describe our approach to the Wikipedia Participation\nChallenge which aims to predict the number of edits a Wikipedia editor will\nmake in the next 5 months. The best submission from our team, \"zeditor\",\nachieved 41.7% improvement over WMF's baseline predictive model and the final\nrank of 3rd place among 96 teams. An interesting characteristic of our approach\nis that only temporal dynamics features (i.e., how the number of edits changes\nin recent periods, etc.) are used in a self-supervised learning framework,\nwhich makes it easy to be generalised to other application domains.","url_abs":"http://arxiv.org/abs/1110.5051v1","url_pdf":"http://arxiv.org/pdf/1110.5051v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"wikipedia-edit-number-prediction-based-on","repo_url":"https://github.com/MacroMayhem/WikiChallenge","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"prediction","task_name":"Prediction"},{"task_slug":"self-supervised-learning","task_name":"Self-Supervised Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}