http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10706439-B1

Outgoing Links

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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q30-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00
filingDate 2017-11-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2020-07-07-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fc383c00a99c7e6d1e6d10c3a16ca76c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e212d3ac6bfcf757d53bfe14e2034526
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_96d0ee6b6658c2a79e925b43810cb1cb
publicationDate 2020-07-07-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-10706439-B1
titleOfInvention Predictive recommendation system using tiered feature data
abstract In general, embodiments of the present invention provide systems, methods and computer readable media for a predictive recommendation system using predictive models derived from tiered feature data.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11301525-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11200587-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022058513-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11436284-B1
priorityDate 2014-07-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 28.