Research Article

Feature Dual Supervision Model for the Searches of Online Advertising Audiences

Table 1

Notations for the proposed model FDSM.

SymbolDefinition

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