Difference between revisions of "RecSysWiki:About"
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* [http://www.trustlet.org/wiki/Main_Page TrustLet] (trust metrics on social networks) | * [http://www.trustlet.org/wiki/Main_Page TrustLet] (trust metrics on social networks) | ||
| + | == 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]] | [[Category:RecSys Wiki Information]] | ||
Revision as of 12:06, 23 September 2011
RecSys Wiki is an open platform for everything related to Recommender Systems.
Contact: admin [at] recsyswiki [dot] com
Edits and updates are tweeted from @rswikichanges
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)
