65 citations
- Fudan UniversityCN3 papers
- Microsoft Research Asia (China)CN2 papers
- University of California, BerkeleyUS2 papers
- Adirondack Medical CenterUS1 paper
- American Astronomical SocietyUS1 paper
- Applied Science Associates (United States)US1 paper
- Atkins (United States)US1 paper
- ATUM (United States)US1 paper
- Berkeley CollegeUS1 paper
- Brazos Valley Museum of Natural HistoryUS1 paper
- Brookings InstitutionUS1 paper
- Buffalo BioLabsUS1 paper
Showing 2022 · cs.IRShow all
2 papers · 2 filters
cs.IR2022★ 65 cited
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Fangye Wang, Yingxu Wang, Dongsheng Li +4
Many Click-Through Rate (CTR) prediction works focused on designing advanced architectures to model complex feature interactions but neglected the importance of feature representat…
cs.IR2022★ 43 cited
Enhancing CTR Prediction with Context-Aware Feature Representation Learning
Fangye Wang, Yingxu Wang, Dongsheng Li +4
CTR prediction has been widely used in the real world. Many methods model feature interaction to improve their performance. However, most methods only learn a fixed representation…