http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111988744-B

Outgoing Links

Predicate Object
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W4-021
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W4-029
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-22
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-9537
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-9537
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W4-029
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W4-021
filingDate 2020-08-31-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-04-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-04-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-111988744-B
titleOfInvention A Location Prediction Method Based on User Movement Patterns
abstract The invention relates to a position prediction method based on a user's movement pattern, and belongs to the field of machine learning. The methods are as follows: use the Apriori algorithm to mine the individual movement patterns of each user, and find out the internal factors that affect the user's check-in; use the dynamic time warping algorithm DTW to calculate the similarity between the individual movement patterns of the users; Group the modes, get the central mode of each group, and find the external factors that affect the check-in; use the individual movement mode and the overall movement mode to train the Markov model; train the Markov chain model based on IMP and AMP to predict the user's Next position; consider the influence of external weather, create general weather characteristics; use Gaussian kernel function to calculate the similarity between the weather at the current location and the weather at other locations, and revise the predicted results; set evaluation standards and benchmark methods. The present invention makes the predicted results more realistic.
priorityDate 2020-08-31-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID428402166
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID71311703

Total number of triples: 21.