most citedTransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest

32 citations · 32 across the 3 of their papers we have counts for

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cs.IR2025

TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation

Xue Xia, Saurabh Vishwas Joshi, Kousik Rajesh +6

Modeling user action sequences has become a popular focus in industrial recommendation system research, particularly for Click-Through Rate (CTR) prediction tasks. However, industr…

cs.IR2023★ 32 cited

TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest

Xue Xia, Pong Eksombatchai, Nikil Pancha +7

Sequential models that encode user activity for next action prediction have become a popular design choice for building web-scale personalized recommendation systems. Traditional m…