DiffNBR: A Spatiotemporal Diffusion and Information‑Bottleneck Approach for Next‑Basket Recommendation

DiffNBR introduces a dual‑path diffusion framework combined with an information‑bottleneck mechanism to jointly model spatial co‑occurrence and temporal evolution in next‑basket recommendation, achieving state‑of‑the‑art performance and effectively disentangling repetitive and exploratory purchase patterns.

DiffNBRdiffusion modelinformation bottleneck

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DiffNBR: A Spatiotemporal Diffusion and Information‑Bottleneck Approach for Next‑Basket Recommendation

DataFunSummit

Aug 18, 2023 · Artificial Intelligence

Survey of Recent Generative AI Approaches for Recommender Systems

This article reviews a series of recent research papers that explore how generative AI, especially large language models, can be integrated into recommender systems to improve next‑basket recommendation, instruction‑following, zero‑shot ranking, fairness evaluation, and generative retrieval paradigms.

Fairnessnext-basket recommendation

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Survey of Recent Generative AI Approaches for Recommender Systems