4 papers · 1 filter
DP-Rec: Towards Dynamic Patching for Efficient Long-Sequence Recommendation
Dwipam Katariya, Thomas Caputo, Akshat Shreemali +6
Transformers have redefined sequential recommendation by effectively modeling dynamic user behaviors and long-range dependencies. However, they remain inherently inefficient: stand…
A Systematic Benchmark of Explainable Methods for Temporal Attribution in Sequential Recommendation Systems
Akash Pandey, Kanisha Shah, Addrish Roy +5
Sequential RecSys are central to modern personalization, exploiting user's historical interaction sequences to drive next-step decisions. Deep learning models, particularly CNN and…
REPREC: Representation Driven Parameter-Efficient Recommendation System
Harshini Kavuru, Dwipam Katariya, Giri Iyengar +3
Large language models (LLMs) have been applied to sequential recommendation by incorporating collaborative signals through input conditioning or model adaptation. However, existing…
From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations
Dianjing Fan, Yao Li, Kyaw Hpone Myint +4
Sequential user behavior modeling is widely adopted in industrial recommender systems; however, significant gaps remain in financial services, where pre-login web interactions and…