Personalized LoRA for Recommender Systems, A Study on the Impact of Query Understanding at Amazon, and More!

Vol.64 for Aug 05 - Aug 11, 2024

Stay Ahead of the Curve with the Latest Advancements and Discoveries in Information Retrieval.

This week’s newsletter highlights the following research:

1. Personalized Low-Rank Adaptation of LLMs for Scalable Recommendation Systems, from Zhu et al.

2. Enhancing RAG for Industrial Knowledge Bases through Reflection-Based Question Augmentation, from An et al.

3. Reasoning with Large Language Models for Personalized Recommendations, from Google

4. A Framework for Domain-Specific Evaluation of Retrieval-Augmented Generation Systems, from Zhu et al.

5. Enhancing LLM Robustness in Noisy Retrieval-Augmented Generation, from Kim et al.

6. Memory-Efficient Cross-Entropy Approximation for Large-Scale Sequential Recommenders, from Gusak et al.

7. A Comprehensive Survey of Embedding Compression Techniques in Recommender Systems, from Li et al.

8. A Year-Long Study on Query Understanding's Impact at Amazon Product Search, from Amazon

9. Standardizing Sequential Recommender Systems for Reproducible Research, from Betello et al.

10. A User-Centric Approach to Balancing Relevance and Diversity in Recommender Systems, from Coppolillo et al.