Top Information Retrieval Papers of the Week recsys.substack.com

A weekly curated newsletter about the latest research papers in the Information Retrieval domain, including Recommender Systems, Search, Retrieval, and Ranking.

Bridging Multi-Vector and Learned-Sparse Retrieval, A Diagnostic Framework for Robust Semantic IDs, and More!

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Ranking Millions of Candidates with LLMs via Aggregated Embeddings, Converting Single-Vector Retrievers into Multi-Vector Models Without Retraining, and More!

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Context Engineering as a Recommendation Problem, Collaborative Retrieval for Personalized RAG, and More!

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Is BM25 Enough for Agentic Deep Research?, Replacing Decoders with MLPs in Generative Recommendation, and More!

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Eliciting Retrieval from Frozen Encoder-Decoder Models, Frontier Search Agents on an Academic Budget, and More!

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Rethinking Semantic–Collaborative Integration in Recommenders, Efficient Token-Aware Clustering for Multivector Retrieval, and More!

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Rethinking Personalization for the Agent Era, Semantic Recall for Vector Search, and More!

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A Late Chunking Approach for Visual Documents, Does Agentic Search Make GraphRAG Obsolete? and More!

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Rethinking Negative Sampling for Knowledge Distillation in Retrieval, A Distillation Recipe for Small Language Model Search Agents, and More!

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On Strengths and Limitations of Single-Vector Embeddings, A Blueprint for Self-Evolving Multi-Agent Recommender Systems, and More!

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Disentangling the Strengths of Semantic ID and Item ID Recommendation, Efficient Graph-Based Indexing for Multi-Vector Retrieval, and More!

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A Production System for Podcast Discovery, A Fully Open-Source Frontier Search Agent, and More!

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Deep Research for Recommender Systems, Improving Search Agent with One Line of Code, and More!

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Bringing the Muon Optimizer to Large-Scale Recommender Systems, Decoupling Memory Reasoning from LLM Inference, and More!

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Benchmarking Retrieval and Re-Ranking in Deep Research, Optimizing Verbalization of User Logs for LLM-Based Recommendation, and More!

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The Case for Multi-Vector Contrastive Pre-Training, Eliminating Approximate Nearest Neighbor Search in Large-Scale Recommendation, and More!

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Semantic Search At LinkedIn, LLM-Driven Autonomous Optimization for Industrial-Scale Recommendation Systems, and More!

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The Case for Semantic Tokens in Modern Ranking Systems, How Embedding Size Affects Dense Retrieval, and More!

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Empirical Patterns in Real-World Agentic Search Sessions, How Many Dimensions Do You Really Need for Top-k Retrieval?, and More!

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Closing the Retriever Gap in Agentic Search Systems, Offline Negative Item Filtering at Scale, and More!

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