http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10719854-B2
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a9ea74cc4857e47359bfd38c9510a453 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-01 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q30-0269 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N7-005 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N7-01 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q30-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N7-00 |
| filingDate | 2016-02-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2020-07-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_eb170395e28e22be58eef2147786b459 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7e8122dec2f34738ce7697267ee7e32f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7253eb5f47417ec2d30051dcf7cba756 |
| publicationDate | 2020-07-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | US-10719854-B2 |
| titleOfInvention | Method and system for predicting future activities of user on social media platforms |
| abstract | The disclosed embodiments illustrate a method and a system for predicting future activities of a user on a social media platform. The method includes extracting a first time series of one or more historical activities performed by the user from a social media platform server. The method further includes receiving a second time series of one or more future events from a requestor-computing device. The method further includes determining a first set of forecast values and a second set of forecast values based on the first time series and/or the second time series, wherein the first set of forecast values is determined using an ARIMA technique, and the second set of forecast values is determined using a regression modelling technique. The method further includes predicting the future activities of the user based on the first set of forecast values and the second set of forecast values. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023104218-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11113615-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022067559-A1 |
| priorityDate | 2016-02-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 30.