About: Knowledge-based recommender system

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Knowledge-based recommender systems (knowledge based recommenders) are a specific type of recommender system that are based on explicit knowledge about the item assortment, user preferences, and recommendation criteria (i.e., which item should be recommended in which context). These systems are applied in scenarios where alternative approaches such as collaborative filtering and content-based filtering cannot be applied.

Attributes	Values
rdfs:label	Knowledge-based recommender system (en)
rdfs:comment	Knowledge-based recommender systems (knowledge based recommenders) are a specific type of recommender system that are based on explicit knowledge about the item assortment, user preferences, and recommendation criteria (i.e., which item should be recommended in which context). These systems are applied in scenarios where alternative approaches such as collaborative filtering and content-based filtering cannot be applied. (en)
dcterms:subject	Artificial intelligence
Wikipage page ID	43274058 (xsd:integer)
Wikipage revision ID	944338290 (xsd:integer)
Link from a Wikipage to another Wikipage	Case-based reasoning Artificial intelligence Conversation Cold start (recommender systems) Constraint satisfaction Knowledge-based configuration Knowledge acquisition Collaborative filtering Guided selling Recommender system
Link from a Wikipage to an external page	http://www.aaai.org/Papers/AAAI/2007/AAAI07-274.pdf http://kdd.ics.uci.edu/databases/entree/entree.data.html http://www.myproductadvisor.com http://www.weevis.org
sameAs	Knowledge-based recommender system Knowledge-based recommender system Knowledge-based recommender system
has abstract	Knowledge-based recommender systems (knowledge based recommenders) are a specific type of recommender system that are based on explicit knowledge about the item assortment, user preferences, and recommendation criteria (i.e., which item should be recommended in which context). These systems are applied in scenarios where alternative approaches such as collaborative filtering and content-based filtering cannot be applied. A major strength of knowledge-based recommender systems is the non-existence of cold start (ramp-up) problems. A corresponding drawback is a potential knowledge acquisition bottleneck triggered by the need to define recommendation knowledge in an explicit fashion. (en)
gold:hypernym	Type
prov:wasDerivedFrom	wikipedia-en:Knowledge-based_recommender_system?oldid=944338290&ns=0
page length (characters) of wiki page	7859 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Knowledge-based_recommender_system
is Link from a Wikipage to another Wikipage of	Knowledge based recommender
is Wikipage redirect of	Knowledge based recommender
is foaf:primaryTopic of	wikipedia-en:Knowledge-based_recommender_system

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