Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293215616> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W4293215616 abstract "By analyzing traditional deep learning multimode retrieval methods, an optimized multimode retrieval model based on convolutional neural network is established. This article proposes an innovative semi-supervised social network user portrait analysis model (UPAM) based on user portrait model, which integrates users' social information and some known user attribute information (such as educational background and residence) into a unified topic model framework. Finally, a semi-supervised user portrait analysis method based on user social information and partial known user attribute information is proposed. According to the correlation of user attributes, the cross-validation method is used to train model prediction task and improve the prediction effect. In the first-level model, using a different model to extract the features in the user query, the basis of the second hierarchy model, Stacking is used to further integrate characteristics, finally realizing the attribute population forecast, and experimental verification showing the proposed model's effectiveness in various attributes of a population." @default.
- W4293215616 created "2022-08-27" @default.
- W4293215616 creator A5054396355 @default.
- W4293215616 creator A5063592070 @default.
- W4293215616 date "2022-08-24" @default.
- W4293215616 modified "2023-09-30" @default.
- W4293215616 title "Association between community psychological label and user portrait model based on multimodal neural network" @default.
- W4293215616 cites W1950831375 @default.
- W4293215616 cites W1970126173 @default.
- W4293215616 cites W1989056327 @default.
- W4293215616 cites W2235609260 @default.
- W4293215616 cites W2320263721 @default.
- W4293215616 cites W2396675581 @default.
- W4293215616 cites W2509482745 @default.
- W4293215616 cites W2614322724 @default.
- W4293215616 cites W2754741597 @default.
- W4293215616 cites W2792726473 @default.
- W4293215616 cites W2793709084 @default.
- W4293215616 cites W2805596213 @default.
- W4293215616 cites W2809000673 @default.
- W4293215616 cites W2933023894 @default.
- W4293215616 cites W2959006588 @default.
- W4293215616 cites W2969221148 @default.
- W4293215616 cites W3037217567 @default.
- W4293215616 cites W3162152762 @default.
- W4293215616 cites W3202500351 @default.
- W4293215616 cites W4213343841 @default.
- W4293215616 doi "https://doi.org/10.3389/fpsyg.2022.918274" @default.
- W4293215616 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36092110" @default.
- W4293215616 hasPublicationYear "2022" @default.
- W4293215616 type Work @default.
- W4293215616 citedByCount "0" @default.
- W4293215616 crossrefType "journal-article" @default.
- W4293215616 hasAuthorship W4293215616A5054396355 @default.
- W4293215616 hasAuthorship W4293215616A5063592070 @default.
- W4293215616 hasBestOaLocation W42932156161 @default.
- W4293215616 hasConcept C119857082 @default.
- W4293215616 hasConcept C124101348 @default.
- W4293215616 hasConcept C144024400 @default.
- W4293215616 hasConcept C149923435 @default.
- W4293215616 hasConcept C154945302 @default.
- W4293215616 hasConcept C162324750 @default.
- W4293215616 hasConcept C23123220 @default.
- W4293215616 hasConcept C2908647359 @default.
- W4293215616 hasConcept C31170391 @default.
- W4293215616 hasConcept C34447519 @default.
- W4293215616 hasConcept C41008148 @default.
- W4293215616 hasConcept C81363708 @default.
- W4293215616 hasConceptScore W4293215616C119857082 @default.
- W4293215616 hasConceptScore W4293215616C124101348 @default.
- W4293215616 hasConceptScore W4293215616C144024400 @default.
- W4293215616 hasConceptScore W4293215616C149923435 @default.
- W4293215616 hasConceptScore W4293215616C154945302 @default.
- W4293215616 hasConceptScore W4293215616C162324750 @default.
- W4293215616 hasConceptScore W4293215616C23123220 @default.
- W4293215616 hasConceptScore W4293215616C2908647359 @default.
- W4293215616 hasConceptScore W4293215616C31170391 @default.
- W4293215616 hasConceptScore W4293215616C34447519 @default.
- W4293215616 hasConceptScore W4293215616C41008148 @default.
- W4293215616 hasConceptScore W4293215616C81363708 @default.
- W4293215616 hasLocation W42932156161 @default.
- W4293215616 hasLocation W42932156162 @default.
- W4293215616 hasLocation W42932156163 @default.
- W4293215616 hasOpenAccess W4293215616 @default.
- W4293215616 hasPrimaryLocation W42932156161 @default.
- W4293215616 hasRelatedWork W2337926734 @default.
- W4293215616 hasRelatedWork W2978290780 @default.
- W4293215616 hasRelatedWork W3027997911 @default.
- W4293215616 hasRelatedWork W4287776258 @default.
- W4293215616 hasRelatedWork W4308353688 @default.
- W4293215616 hasRelatedWork W4311257506 @default.
- W4293215616 hasRelatedWork W4312501200 @default.
- W4293215616 hasRelatedWork W4313050734 @default.
- W4293215616 hasRelatedWork W4320802194 @default.
- W4293215616 hasRelatedWork W4366224123 @default.
- W4293215616 hasVolume "13" @default.
- W4293215616 isParatext "false" @default.
- W4293215616 isRetracted "false" @default.
- W4293215616 workType "article" @default.