1 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
SemSR: Semantics aware robust Session-based Recommendations
Jyoti Narwariya, Priyanka Gupta, Muskan Gupta +2
Session-based recommendation (SR) models aim to recommend items to anonymous users based on their behavior during the current session. While various SR models in the literature uti…
ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation
Reza Yousefi Maragheh, Pratheek Vadla, Priyank Gupta +7
Retrieval-Augmented Generation (RAG) has shown promise in enhancing recommendation systems by incorporating external context into large language model prompts. However, existing RA…
Guided Diffusion-based Counterfactual Augmentation for Robust Session-based Recommendation
Muskan Gupta, Priyanka Gupta, Lovekesh Vig
Session-based recommendation (SR) models aim to recommend top-K items to a user, based on the user's behaviour during the current session. Several SR models are proposed in the lit…