• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: MeeMix     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:SocialGroup107950920, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)

Type: Thingcompanyschema:Organizationdul:Agentdul:SocialPersonagentwikidata:Q24229398OrganizationBusiness enterpriseyago:WikicatCompaniesEstablishedIn2006yago:Abstraction100002137yago:Company108058098yago:Group100031264yago:Institution108053576yago:Organization108008335yago:WikicatInternetCompaniesyago:YagoLegalActoryago:YagoLegalActorGeoyago:YagoPermanentlyLocatedEntityorganisationyago:SocialGroup107950920 New Facet based on Instances of this Class

MeeMix Ltd is a company specializing in personalizing media-related content recommendations, discovery and advertising for the telecommunication industry, founded in 2006. On January 1, 2008, MeeMix launched meemix.com, a public personalized internet radio serving as an online testbed for the development of music taste-prediction technologies. Subsequently, MeeMix released in 2009 a line of Business-to-business commercial services intended to personalize media recommendations, discovery and advertising. MeeMix hybrid taste-prediction technology relies on integrating machine learning algorithms, digital signal processing, behavior analysis, metadata analysis and collaborative filtering, and is provided via API web service.