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UniFormer: A Unified Model-Centric Scaling Framework for Industrial Recommendation Systems

Recently, substantial progress has been made in industrial recommendation through component-centric model scaling, where individual components such as behavior modeling, feature interaction, or task modeling are independently scaled to improve model capac

Insighttechnologysciencemachine learning

arxiv.org·Tech by Flipboard·22d ago·2 min read

Tubi's Shallow-RHS: An Asymmetric Graph Architecture for Cold-Start Item Recommendation

Collaborative filtering and graph-based recommendation models are highly effective because they leverage observed user interactions, but this dependence creates a fundamental cold-start challenge when newly added content has no interaction history. In Tub

Insighttechnologyscience

Shared by @reachsumit.com ↗

arxiv.org1mo ago

SilverTorch: A Unified Retrieval Architecture for Scalable Recommendation Systems

Insighttechnologydesign

Shared by @nbartley.bsky.social ↗

engineering.fb.com1mo ago

LinkedIn cuts GPU training hours by 65% with Generative Recommender system optimizations

Newstechnologymachine learning

Shared by @startuphub.bsky.social ↗

startuphub.ai1mo ago

Seekeasy MCP: Restaurant Recommendations Based on Social Media Creator Content

Explore Seekeasy's data with our MCP which returns recommendations for restaurants based on social media creator content. Understand the shape and trends of social media through the eyes of your favorite creators.

Producttechnologyfoodsocial media

Product Hunt — The best new products, every day·1y ago·5 min read