Research Article
Feature Dual Supervision Model for the Searches of Online Advertising Audiences
Table 1
Notations for the proposed model FDSM.
| Symbol | Definition |
| | The instance contains user and ad characteristics on dataset | | The embedding matrix of instance | | The embedding vector of the th field about instance | / | The characteristics of user ’s and ad ’s | / | User ’s embedding matrix and ad ’s embedding matrix | / | User ’s embedding vector and ad ’s embedding vector | / | User ’s mean pooling vector and ad ’s mean pooling vector | / | Ad ’s supervision vector and user ’s supervision vector | | The output from the last hidden layer in the th fully connected network | / | User ’s multirepresentation and ad ’s multirepresentation from FEU | / | User ’s supervised weight vector and ad ’s supervised weight vector | / | User ’s feature expression vector and ad ’s feature expression vector | | The vector from bridge connection unit | | The prediction of CTR from FDSM |
|
|