Ask HN: What are the recommender systems papers from 2024-2025?
13 points
19 hours ago
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I’ve been keeping up with the classics (NCF, Wide & Deep, LightGCN), but the field seems to have shifted dramatically in the last 18–24 months toward LLM-based reasoning and graph-based retrieval at scale.

I’m looking for the "state of the art" in 2026. Specifically:

LLM4Rec: Beyond just using LLMs for feature engineering—who is doing generative recommendation well?

Retrieval vs. Ranking: Any new breakthroughs in the "Two-Tower" paradigm or vector database integration?

Real-world Scale: Papers that address the latency/cost trade-offs of these newer, heavier models.

What has been the most influential paper you’ve read recently that changed how you think about discovery?

ibgeek
7 hours ago
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The ACM Recommender Systems conference is one of the leading venues in the field. You might check out what papers were accepted for the 2024 and 2025 conferences:

https://recsys.acm.org/

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