collaborators

1 paper

cs.IR2024

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling

Junzhe Jiang, Shang Qu, Mingyue Cheng +8

Recommender systems are indispensable in the realm of online applications, and sequential recommendation has enjoyed considerable prevalence due to its capacity to encapsulate the…