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cs.IR2023★ 1 cited
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
Hao Zhang, Mingyue Cheng, Zhiding Liu +1
Sequential recommender systems (SRS) have gained increasing popularity due to their remarkable proficiency in capturing dynamic user preferences. In the current setup of SRS, a com…
cs.IR2023
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…