Hongyu Lu

Standing in Your Shoes: External Assessments for Personalized Recommender Systems

2021

The evaluation of recommender systems relies on user preference data, which is difficult to acquire directly because of its subjective nature. Current recommender systems widely utilize users' historical interactions as implicit or explicit feedback, but …

Cross-Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction

2024

Lifelong sequential modeling (LSM) has significantly advanced recommendation systems on social media platforms.Diverging from single-domain LSM, cross-domain LSM involves modeling lifelong behavior sequences from a source domain to a different target domain.In this paper, we …

Between Clicks and Satisfaction

2018

Click signal has been widely used for designing and evaluating interactive information systems, which is taken as the indicator of user preference. However, click signal does not capture post-click user experience. Very commonly, the user …