Difference between revisions of "RecSysWiki:About"
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| − | RecSys Wiki is an open platform for everything related to Recommender Systems. | + | RecSys Wiki is an open platform for everything related to [[Recommender System|Recommender Systems]]. |
| − | + | ||
| − | Contact: admin [at] recsyswiki [dot] com | + | Contact: admin [at] recsyswiki [dot] com ([[User:Alan]]) |
| − | [http://recsyswiki.com/wiki/ | + | |
| + | [[RecSysWiki:Copyrights|Copyright Policy]] | ||
| + | |||
| + | * [http://recsyswiki.com/mediawiki/index.php?title=Special:RecentChanges&feed=atom Edits and updates] are tweeted from [http://twitter.com/#!/RSWikiChanges @rswikichanges] | ||
| + | * [http://www.twitter.com/recsyswiki RecSysWiki on Twitter] | ||
| + | * [http://www.facebook.com/pages/RecSysWiki/227567743970059 RecSysWiki on Facebook] | ||
| + | |||
| + | == Which kind of content should be in this wiki? == | ||
| + | # Of course it makes no sense to replicate all Wikipedia articles about recommender systems here. | ||
| + | # We should rather write short, concise articles explaining terms that are often used in the recommender systems literature. | ||
| + | # Wherever possible, link to existing WP articles, research papers, and other resources available on the web. | ||
| + | # Content-wise, a role model could be the [http://aclweb.org/aclwiki/ ACL Wiki]. | ||
| + | # Entities we could try to collect here: | ||
| + | ## algorithms (where described, how they perform, implementations, etc.) | ||
| + | ## existing (academic/commercial/...) recommender systems (which techniques they use, statistics, sources) | ||
| + | ## [[:Category:Evaluation measure|evaluation measures]] | ||
| + | ## [[:Category:Evaluation protocol|evaluation protocols]] | ||
| + | ## [[:Category:Dataset|datasets]] | ||
| + | ## recommendation tasks/scenarios | ||
| + | ## problems in recommender systems: [[Cold-Start Problem]], [[Harry Potter Effect]], [[Portfolio Effect]] | ||
| + | ## companies using/developing recommender systems (... that may want to hire recommender system specialists) | ||
| + | ## [[:Category:Software|recommender system software]] | ||
| + | ## RecSys [[:Category:Conference|conferences]], [[:Category:Workshop|workshops]], [[:Category:Journal|journals]] | ||
| + | ## [[:Category:Research group|research groups]] in the field | ||
| + | |||
| + | == Other Research and Practice Wikis == | ||
| + | * [http://aclweb.org/aclwiki/ ACL Wiki] (computational linguistics, natural language processing) | ||
| + | * [http://www.trustlet.org/wiki/Main_Page TrustLet] (trust metrics on social networks) | ||
| + | * [http://www.kaggle.com/wiki Kaggle Data Science Wiki] | ||
| + | |||
| + | == Open Research Resources == | ||
| + | * [[Wikipedia: Open Access]] | ||
| + | * [http://www.doaj.org/ Directory of Open Access Journals] | ||
| + | |||
| + | == Free/Open Source Software == | ||
| + | * [[Wikipedia: Free software]] | ||
| + | * [http://mloss.org machine learning open source software] | ||
| + | * [http://neuro.debian.net/ Debian Neuroscience repository] | ||
| + | * http://www.openusability.org/ | ||
| + | |||
| + | [[Category:RecSys Wiki Information]] | ||
Latest revision as of 18:25, 22 September 2014
RecSys Wiki is an open platform for everything related to Recommender Systems.
Contact: admin [at] recsyswiki [dot] com (User:Alan)
- Edits and updates are tweeted from @rswikichanges
- RecSysWiki on Twitter
- RecSysWiki on Facebook
Contents
Which kind of content should be in this wiki?
- Of course it makes no sense to replicate all Wikipedia articles about recommender systems here.
- We should rather write short, concise articles explaining terms that are often used in the recommender systems literature.
- Wherever possible, link to existing WP articles, research papers, and other resources available on the web.
- Content-wise, a role model could be the ACL Wiki.
- Entities we could try to collect here:
- algorithms (where described, how they perform, implementations, etc.)
- existing (academic/commercial/...) recommender systems (which techniques they use, statistics, sources)
- evaluation measures
- evaluation protocols
- datasets
- recommendation tasks/scenarios
- problems in recommender systems: Cold-Start Problem, Harry Potter Effect, Portfolio Effect
- companies using/developing recommender systems (... that may want to hire recommender system specialists)
- recommender system software
- RecSys conferences, workshops, journals
- research groups in the field
Other Research and Practice Wikis
- ACL Wiki (computational linguistics, natural language processing)
- TrustLet (trust metrics on social networks)
- Kaggle Data Science Wiki
