FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction

MLA

Wang, Hangyu, et al. FLIP: Fine-Grained Alignment between ID-Based Models and Pretrained Language Models for CTR Prediction. 2023. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2310.19453&authtype=sso&custid=ns315887.

APA

Wang, H., Lin, J., Li, X., Chen, B., Zhu, C., Tang, R., Zhang, W., & Yu, Y. (2023). FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction.

Chicago

Wang, Hangyu, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, and Yong Yu. 2023. “FLIP: Fine-Grained Alignment between ID-Based Models and Pretrained Language Models for CTR Prediction.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2310.19453&authtype=sso&custid=ns315887.