Privaterec: Differentially private model training and online serving for federated news recommendation
Federated recommendation can potentially alleviate the privacy concerns in collecting
sensitive and personal data for training personalized recommendation systems. However, it …
sensitive and personal data for training personalized recommendation systems. However, it …
FedCTR: Federated native ad CTR prediction with cross-platform user behavior data
Native ad is a popular type of online advertisement that has similar forms with the native
content displayed on websites. Native ad click-through rate (CTR) prediction is useful for …
content displayed on websites. Native ad click-through rate (CTR) prediction is useful for …
Userbert: Pre-training user model with contrastive self-supervision
User modeling is critical for personalization. Existing methods usually train user models from
task-specific labeled data, which may be insufficient. In fact, there are usually abundant …
task-specific labeled data, which may be insufficient. In fact, there are usually abundant …
PTUM: Pre-training user model from unlabeled user behaviors via self-supervision
User modeling is critical for many personalized web services. Many existing methods model
users based on their behaviors and the labeled data of target tasks. However, these …
users based on their behaviors and the labeled data of target tasks. However, these …
Userbert: Contrastive user model pre-training
User modeling is critical for personalized web applications. Existing user modeling methods
usually train user models from user behaviors with task-specific labeled data. However …
usually train user models from user behaviors with task-specific labeled data. However …
PrivateRec: Differentially private training and serving for federated news recommendation
Collecting and training over sensitive personal data raise severe privacy concerns in
personalized recommendation systems, and federated learning can potentially alleviate the …
personalized recommendation systems, and federated learning can potentially alleviate the …
Fedctr: Federated native ad ctr prediction with multi-platform user behavior data
Native ad is a popular type of online advertisement which has similar forms with the native
content displayed on websites. Native ad CTR prediction is useful for improving user …
content displayed on websites. Native ad CTR prediction is useful for improving user …