explainable recommendations 1knowledge distillation 1large language models 1real-time recommendation 1scalable inference 1user personas 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.IR2026
Tokens are All You Need: Dual-purpose Semantic IDs for Achieving LLM-Level I/O Efficiency in recommendation systems
Baolei Li, Yiping Yuan, Yilin Zheng +6
Large-scale recommendation systems face "Memory Wall" bottlenecks due to massive, dense embedding tables. While generative retrieval uses discrete tokens for IDs, high-dimensional…
cs.IR2026
LLM-Based User Personas for Recommendations at Scale
Haoting Wang, Haokai Lu, Zheyun Feng +14
The paper presents a framework that uses large language models to generate natural-language user interest personas in real time for a large‑scale video recommendation system, emplo…
cs.IR2025
Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
Yuyan Wang, Cheenar Banerjee, Samer Chucri +4
It has become increasingly clear that recommender systems that overly focus on short-term engagement prevents users from exploring diverse interests, ultimately hurting long-term u…