4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.IR2026
TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems
Qingyun Liu, Bo Yan, Yang Liu +15
User modeling in industrial recommender systems typically produces dense embeddings, which suffer from representational constraints inherent to fixed-dimensional vectors. An emergi…
cs.IR2016★ 4 cited
Analyzing User Preference for Social Image Recommendation
Xianming Liu, Min-Hsuan Tsai, Thomas Huang
With the incredibly growing amount of multimedia data shared on the social media platforms, recommender systems have become an important necessity to ease users' burden on the info…