5 citations · 5 across the 1 of their papers we have counts for
4 papers
Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection
Zhikai Wang, Yanyan Shen, Zexi Zhang +4
Contrastive Learning (CL) enhances the training of sequential recommendation (SR) models through informative self-supervision signals. Existing methods often rely on data augmentat…
Frequency-aware Adaptive Contrastive Learning for Sequential Recommendation
Zhikai Wang, Weihua Zhang
In this paper, we revisited the role of data augmentation in contrastive learning for sequential recommendation, revealing its inherent bias against low-frequency items and sparse…
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
Zhikai Wang, Yanyan Shen
Recently, substantial research has been conducted on sequential recommendation, with the objective of forecasting the subsequent item by leveraging a user's historical sequence of…
Feature Staleness Aware Incremental Learning for CTR Prediction
Zhikai Wang, Yanyan Shen, Zibin Zhang +1
Click-through Rate (CTR) prediction in real-world recommender systems often deals with billions of user interactions every day. To improve the training efficiency, it is common to…