2 citations · 8 across the 4 of their papers we have counts for
4 papers
Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation
Jiyuan Yang, Yuanzi Li, Jingyu Zhao +8
Sequential Recommenders have been widely applied in various online services, aiming to model users' dynamic interests from their sequential interactions. With users increasingly en…
Improving Transformer-based Sequential Recommenders through Preference Editing
Muyang Ma, Pengjie Ren, Zhumin Chen +4
One of the key challenges in Sequential Recommendation (SR) is how to extract and represent user preferences. Traditional SR methods rely on the next item as the supervision signal…
Mixed Information Flow for Cross-domain Sequential Recommendations
Muyang Ma, Pengjie Ren, Zhumin Chen +4
Cross-domain sequential recommendation is the task of predict the next item that the user is most likely to interact with based on past sequential behavior from multiple domains. O…
Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations
Wenchao Sun, Muyang Ma, Pengjie Ren +5
Sequential recommendation is a task in which one models and uses sequential information about user behavior for recommendation purposes. We study sequential recommendation in a par…