MEMOIR: Temporal Behavioral Memory for Recommendation Across the Preference-Drift Spectrum
We propose MEMOIR, a framework that segments user interaction histories into temporal windows, generates semantic behavioral memory for each period using an LLM, and aggregates current state, evolution direction, and predicted future into a single user representation. On the Electronics and Clothing_Shoes_and_Jewelry categories of Amazon Reviews 2023, MEMOIR is statistically tied with UniSRec, the strongest baseline, on aggregate NDCG@10 (0.0643 vs. 0.0641), splitting the four reported metrics 2-2: MEMOIR leads NDCG@10 and MRR, UniSRec leads HR@10 and HR@20. An ablation study finds that no single architectural component - the evolution-preserving contrastive loss, its directional-consiste...
| Authors | Younggue Bae |
|---|---|
| Primary category | cs.IR |
| Published | 27 July 2026 |
| Last updated at source | 27 July 2026 |
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