[HN Gopher] Ask HN: What are the recommender systems papers from...
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       Ask HN: What are the recommender systems papers from 2024-2025?
        
       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?
        
       Author : haensi
       Score  : 3 points
       Date   : 2026-01-20 14:50 UTC (8 hours ago)
        
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       (page generated 2026-01-20 23:01 UTC)