http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-104077351-B

Outgoing Links

Predicate Object
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-2457
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-30
filingDate 2014-05-26-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2017-01-25-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2017-01-25-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-104077351-B
titleOfInvention Heterogeneous information network based content providing method and system
abstract The invention discloses a heterogeneous information network based content providing method. When users subscribe to a recommendation service, content is recommended to the users through an optimal prediction matrix, a similarity matrix of the users and a similarity matrix of projects are obtained by an element path based similarity calculation method according to a heterogeneous information network through the optimal prediction matrix, the fusion is performed on two or three of the user similarity matrix, a user and project evaluation matrix and the project similarity matrix to obtain the internal relation between the users and the projects, the prediction is performed by a collaborative filtering based matrix decomposition prediction method, and results are combined to obtain the optimal prediction matrix. According to the heterogeneous information network based content providing method, the recommendation accuracy is effectively improved, the results which are accord with the will of the users can be recommended to the users through limited time calculation on the basis of the existing data, the cold start problem is partially solved, and the interpretability of the recommended results is improved.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109543893-A
priorityDate 2014-05-26-04:00^^<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/compound/CID25572
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197

Total number of triples: 14.