A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Advertising Popularity Feature Collaborative Recommendation Algorithm Based on Attention-LSTM Model
2021
Security and Communication Networks
To accurately predict the click-through rate (CTR) and use it for ad recommendation, we propose a deep attention AD popularity prediction model (DAFCT) based on label recommendation technology and collaborative filtering method, which integrates content features and temporal information. First, we construct an Attention-LSTM model to capture the popularity trends and exploit the temporal information based on users' feedback; finally, we use the concatenate method to fuse temporal information
doi:10.1155/2021/9940232
fatcat:4aaqsvb5rvbcfahpombwild3qy