About: Cold start (recommender systems)

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Cold start is a potential problem in computer-based information systems which involves a degree of automated data modelling. Specifically, it concerns the issue that the system cannot draw any inferences for users or items about which it has not yet gathered sufficient information.

Attributes	Values
rdfs:label	بداية باردة (ar) Arranque en frío (es) Cold start (recommender systems) (en) Cold start (it)
rdfs:comment	البداية الباردة (بالإنجليزية: [1]Cold start) هي إحدى المشاكل المحتملة عند بناء Recommender system، حيث عندما يقوم مستخدم جديد في استخدام النظام، غالبًا لا يعرف النظام أي شي عن هذا المستخدم حتى يتسنى له أن يبني الاقتراحات المناسبة له. (ar) Cold start is a potential problem in computer-based information systems which involves a degree of automated data modelling. Specifically, it concerns the issue that the system cannot draw any inferences for users or items about which it has not yet gathered sufficient information. (en) El arranque en frío (en inglés: cold start), es un problema potencial de los equipos basado en sistemas de información, que implican un grado de automatizado de datos de modelos. En concreto, se refiere a la cuestión donde el sistema no puede extraer inferencias para los usuarios o temas sobre los que aún no ha reunido suficiente información. (es) La cold start (partenza a freddo) è un problema cui sono soggetti gli algoritmi informatici dei sistemi informativi che si basano su modellazione dei dati, quali i sistemi di raccomandazione, che si verifica quando il sistema non è in grado di fare alcuna inferenza per utenti o articoli (libri, film, prodotti...) sui quali non ha ancora raccolto sufficienti informazioni. (it)
foaf:depiction
dcterms:subject	Collective intelligence Information systems
Wikipage page ID	9391536 (xsd:integer)
Wikipage revision ID	1100492904 (xsd:integer)
Link from a Wikipage to another Wikipage	Musician Personality E-commerce Inference Information retrieval Software agent User interface News Okapi BM25 Music Recommender systems Lois Maxwell Web page Collective intelligence Active learning (machine learning) Five factor model Item-item collaborative filtering Preference elicitation James Bond Five Factor Model Information systems Collaborative filtering Book Film Data modelling Information systems Information technology Recommender system Tf–idf User (computing) Image MovieLens Content-based filtering Information filtering dbr:Factorization_machines dbr:Matrix_factorization_(recommender_system) dbr:User-user_recommender
Link from a Wikipage to an external page	http://activeintelligence.org/research/al-rs/ http://activeintelligence.org/wp-content/papercite-data/pdf/Rubens-Active-Learning-RecSysHB2010.pdf https://web.archive.org/web/20110826092558/http:/activeintelligence.org/research/al-rs/
sameAs	Cold start (recommender systems) Cold start (recommender systems) Cold start (recommender systems) Cold start (recommender systems) Cold start (recommender systems) Cold start (recommender systems)
dbp:wikiPageUsesTemplate	dbt:! dbt:About dbt:Other_uses dbt:Reflist dbt:Webarchive dbt:Recommender_systems
thumbnail	wiki-commons:Special:FilePath/Popularity_distribution_Movielens_dataset.png?width=300
date	2011-08-26 (xsd:date)
url	https://web.archive.org/web/20110826092558/http:/activeintelligence.org/research/al-rs/
has abstract	البداية الباردة (بالإنجليزية: [1]Cold start) هي إحدى المشاكل المحتملة عند بناء Recommender system، حيث عندما يقوم مستخدم جديد في استخدام النظام، غالبًا لا يعرف النظام أي شي عن هذا المستخدم حتى يتسنى له أن يبني الاقتراحات المناسبة له. (ar) Cold start is a potential problem in computer-based information systems which involves a degree of automated data modelling. Specifically, it concerns the issue that the system cannot draw any inferences for users or items about which it has not yet gathered sufficient information. (en) El arranque en frío (en inglés: cold start), es un problema potencial de los equipos basado en sistemas de información, que implican un grado de automatizado de datos de modelos. En concreto, se refiere a la cuestión donde el sistema no puede extraer inferencias para los usuarios o temas sobre los que aún no ha reunido suficiente información. (es) La cold start (partenza a freddo) è un problema cui sono soggetti gli algoritmi informatici dei sistemi informativi che si basano su modellazione dei dati, quali i sistemi di raccomandazione, che si verifica quando il sistema non è in grado di fare alcuna inferenza per utenti o articoli (libri, film, prodotti...) sui quali non ha ancora raccolto sufficienti informazioni. (it)
prov:wasDerivedFrom	wikipedia-en:Cold_start_(recommender_systems)?oldid=1100492904&ns=0
page length (characters) of wiki page	29366 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Cold_start_(recommender_systems)
is Link from a Wikipage to another Wikipage of	Matrix factorization (recommender systems) Cold start Knowledge-based recommender system Cold start (computing) Collaborative filtering Recommender system First-time user experience MovieLens Cold-start
is Wikipage redirect of	Cold-start
is Wikipage disambiguates of	Cold start
is foaf:primaryTopic of	wikipedia-en:Cold_start_(recommender_systems)

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