Difference between revisions of "A Clustering Approach to Infer Wikipedia Contributors' Profile"
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| + | {{Infobox work | ||
| + | | title = A Clustering Approach to Infer Wikipedia Contributors' Profile | ||
| + | | date = 2018 | ||
| + | | authors = [[Shubham Krishna]]<br />[[Romain Billot]]<br />[[Nicolas Jullien]] | ||
| + | | doi = 10.1145/3233391.3233968 | ||
| + | | link = http://www.eurekaselect.com/160750 | ||
| + | | plink = http://arxiv.org/pdf/1803.09461.pdf | ||
| + | }} | ||
'''A Clustering Approach to Infer Wikipedia Contributors' Profile''' - scientific work related to [[Wikipedia quality]] published in 2018, written by [[Shubham Krishna]], [[Romain Billot]] and [[Nicolas Jullien]]. | '''A Clustering Approach to Infer Wikipedia Contributors' Profile''' - scientific work related to [[Wikipedia quality]] published in 2018, written by [[Shubham Krishna]], [[Romain Billot]] and [[Nicolas Jullien]]. | ||
== Overview == | == Overview == | ||
Recent studies have improved knowledge about the different types or profiles of online contributors, from casual to very involved ones, through focused people. But they use very complex methodologies, making their replication by the practitioners limited. Authors show on both Romanian and Danish wikis that using only the edit and their distribution over time to feed clustering techniques, allows to build these profiles with good accuracy and stability. This suggests that light monitoring of newcomers may be sufficient to adapt the interaction with them and to increase the retention rate. | Recent studies have improved knowledge about the different types or profiles of online contributors, from casual to very involved ones, through focused people. But they use very complex methodologies, making their replication by the practitioners limited. Authors show on both Romanian and Danish wikis that using only the edit and their distribution over time to feed clustering techniques, allows to build these profiles with good accuracy and stability. This suggests that light monitoring of newcomers may be sufficient to adapt the interaction with them and to increase the retention rate. | ||
Revision as of 08:54, 10 October 2019
Authors | Shubham Krishna Romain Billot Nicolas Jullien |
|---|---|
Publication date | 2018 |
DOI | 10.1145/3233391.3233968 |
Links | Original Preprint |
A Clustering Approach to Infer Wikipedia Contributors' Profile - scientific work related to Wikipedia quality published in 2018, written by Shubham Krishna, Romain Billot and Nicolas Jullien.
Overview
Recent studies have improved knowledge about the different types or profiles of online contributors, from casual to very involved ones, through focused people. But they use very complex methodologies, making their replication by the practitioners limited. Authors show on both Romanian and Danish wikis that using only the edit and their distribution over time to feed clustering techniques, allows to build these profiles with good accuracy and stability. This suggests that light monitoring of newcomers may be sufficient to adapt the interaction with them and to increase the retention rate.
