Author

Kaushiki Nag

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#artificial intelligence Preprint Oct 2026

BehaveRec: When Does Long-Term Behavioral History Help Sequential Recommendation? A Study with Session, History, and Community Signals

This work proposes BehaveRec, a three-signal framework combining a causal session transformer, a bidirectional User History Encoder over a 90-day window, and a GraphSAGE module over a user-user graph built from behavioral embedding similarity rather than item co-occurrence; a learned gate blends the three signals per u...

Aysenur Inan, Reza Yousefi Maragheh, Jayesh Uddhav Kudase et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendation

This study evaluates survival models that predict time-to-repurchase directly, and adopts Exponential AFT for probability-consuming surfaces and Log-Normal for pure ranking, exposing a principled calibration-ranking trade-off within a single AFT family.

Akshay Kekuda, Shreeranjani Srirangamsridharan, Ishan Bhatt et al. · 1 citation