4 papers
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 formulating it as a natural language task. Previous work has improved personalization by incorporatin…
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…
FinTRec: Transformer Based Unified Contextual Ads Targeting and Personalization for Financial Applications
Dwipam Katariya, Snehita Varma, Akshat Shreemali +3
Transformer-based architectures are widely adopted in sequential recommendation systems, yet their application in Financial Services (FS) presents distinct practical and modeling c…
TIMeSynC: Temporal Intent Modelling with Synchronized Context Encodings for Financial Service Applications
Dwipam Katariya, Juan Manuel Origgi, Yage Wang +1
Users engage with financial services companies through multiple channels, often interacting with mobile applications, web platforms, call centers, and physical locations to service…