Deep Field-Aware Interaction Machine for Click-Through Rate Prediction
Modeling feature interactions is of crucial importance to predict click-through rate (CTR) in industrial recommender systems. Because of great performance and efficiency, the factorization machine (FM) has been a popular approach to learn feature interaction. Recently, several variants of FM are pro...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2021-01-01
|
| Series: | Mobile Information Systems |
| Online Access: | http://dx.doi.org/10.1155/2021/5575249 |