Hacker News with Generative AI: Recommendation Systems

Foundation Model for Personalized Recommendation (netflixtechblog.com)
Netflix’s personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including “Continue Watching” and “Today’s Top Picks for You.” (Refer to our recent overview for more details). However, as we expanded our set of personalization algorithms to meet increasing business needs, maintenance of the recommender system became quite costly.
Machine Learning, Recommendation Systems, Netflix, Personalization, Optimization
7 points by benocodes 25 days ago | 0 comments
BeeFormer: CF and CBF hybrid approach for recommendation systems (github.com/recombee)
This is the official implementation provided with our paper beeFormer: Bridging the Gap Between Semantic and Interaction Similarity in Recommender Systems.
Recommendation Systems, Machine Learning, Artificial Intelligence, Computer Science
44 points by klaussilveira 34 days ago | 0 comments
Improving recommendation systems and search in the age of LLMs (eugeneyan.com)
Recommendation systems and search have historically drawn inspiration from language modeling. For example, the adoption of Word2vec to learn item embeddings (for embedding-based retrieval), and using GRUs, Transformer, and BERT to predict the next best item (for ranking). The current paradigm of large language models is no different.
Recommendation Systems, Search, Artificial Intelligence
408 points by 7d7n 34 days ago | 93 comments
Jagged Flash Attention Optimization (shaped.ai)
Meta researchers have introduced Jagged Flash Attention, a novel technique that significantly enhances the performance and scalability of large-scale recommendation systems.
Artificial Intelligence, Recommendation Systems, Optimization, Research
24 points by tullie 38 days ago | 3 comments
Show HN: Fashion Shopping with Nearest Neighbors (vibewall.shop)
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Fashion, E-commerce, Recommendation Systems, Machine Learning
76 points by unixpickle 42 days ago | 22 comments
Prediction Games (argmin.net)
In 2006, Netflix launched an open competition that would transform machine learning practice. They offered a million dollars to anyone who could improve upon their in-house recommendation system by 10%.
Machine Learning, Competitions, Recommendation Systems
69 points by todsacerdoti 80 days ago | 16 comments
Unifying Generative and Dense Retrieval for Sequential Recommendation (arxiv.org)
Sequential dense retrieval models utilize advanced sequence learning techniques to compute item and user representations, which are then used to rank relevant items for a user through inner product computation between the user and all item representations.
Generative AI, Recommendation Systems, Machine Learning, Information Retrieval
4 points by ashvardanian 116 days ago | 0 comments
ByteDance's Recommendation System (github.com/bytedance)
Recommendation Systems, Artificial Intelligence, Software, ByteDance
64 points by tim_sw 127 days ago | 55 comments
Learning Category Trees for ID-Based Recommendation: Differentiable VQ (arxiv.org)
Category information plays a crucial role in enhancing the quality and personalization of recommender systems. Nevertheless, the availability of item category information is not consistently present, particularly in the context of ID-based recommendations.
Recommendation Systems, Machine Learning, Category Trees, Differentiation, VQ
4 points by RicoElectrico 194 days ago | 0 comments
Show HN: An app where you suggest me your vet, I suggest you my babysitter (play.google.com)
Community, Apps, Services, Recommendation Systems
4 points by Giarty 198 days ago | 3 comments
Meta's Trillion Parameter Recommendation System (shaped.ai)
Meta, Recommendation Systems, AI
11 points by tullie 325 days ago | 0 comments
Ask HN: AI for Music Discovery (ycombinator.com)
AI, Music, Recommendation Systems
17 points by noashavit 358 days ago | 11 comments
Show HN: Shepherd 3.0 – Like wandering the aisles of your favorite bookstore (ycombinator.com)
Software, Bookstores, AI, Search Engines, Recommendation Systems
102 points by bwb 372 days ago | 40 comments