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Algorithmic curation

Algorithm curation is the selection of online media by technologies such as recommender systems and personalized search. Curation entails the selective sharing of online content and recommendations based on inferred interests. Curation algorithms implement different filter approaches, such as collaborative filtering and content-based filtering. Examples…

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16 related topics

History

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AI contribution

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Social media and potential impact

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History

AI contribution

Social media and potential impact

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Algorithmic curation

Nodes27
Edges26
Triples28
Avg. degree1.93
Density0.074074
Components1

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Algorithmic curation

Top relations

related to AI contribution · 5
Algorithmic curation → AI-driven, Artificial, In, Techniques, This

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Important terminology

content users user media filtering curation systems social search based personalized content-based platforms similar recommendations algorithmic may interests algorithms feeds

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
recommender systemsinstance ofAlgorithm curation is the selection of online media by technologies0.80text
personalized searchinstance ofAlgorithm curation is the selection of online media by technologies0.80text
the Twitter feedinstance ofExamples include search engine and social media products0.80text
Facebook's News Feedinstance ofExamples include search engine and social media products0.80text
and Google Personalized Searchinstance ofExamples include search engine and social media products0.80text
tasteinstance ofand can account for complex attributes0.80text
quality that are difficult to represent explicitly.Content-based filteringContent-based filteringinstance ofand can account for complex attributes0.80text
Bayesian classifiersinstance ofand can be computed using techniques0.80text
cluster analysisinstance ofand can be computed using techniques0.80text
decision treesinstance ofand can be computed using techniques0.80text
and artificial neural networksinstance ofand can be computed using techniques0.80text
with the goal of estimating the probability that a user will engage with a suggested iteminstance ofand can be computed using techniques0.80text

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