Multi-domain recommendation and multi-task recommendation have demonstrated their
effectiveness in leveraging common information from different domains and objectives for …

GPRec explicitly categorizes users into groups in a learnable manner and aligns them with
corresponding group embeddings. We design the dual group embedding space to offer a …

Data-driven techniques have greatly empowered recommender systems in different
scenarios. However, many mainstream algorithms rely on black-box models, making them …

Embedding techniques have become essential components of large databases in the deep
learning era. By encoding discrete entities, such as words, items, or graph nodes, into …

[This is a position paper and does not contain any empirical or theoretical results]
Recommender systems have become a cornerstone of personalized user experiences, yet …