#recsys

The latest AI and developer news about #recsys, with the original source and a short summary.

Meta Engineers Detail TLX: A Hardware-Native GPU Compiler Extension for Production ML

The Triton Low-Level Extensions (TLX) framework enables explicit warp-group orchestration, delivering up to 2x forward speedup in GDPA kernels and reducing RecSys inference latency by up to two-thirds.

·2026.11.11 01:00

Meta Unveils IKBO for RecSys Inference Optimization

Meta has unveiled IKBO technology that eliminates the redundant data duplication overhead occurring during recommendation model inference.

·1·2026.07.13 22:00

Meta Adaptive Ranking Model: Rewriting the Inference Scaling Curve to Bring LLM-Scale Models to Ads

Meta scaled ad ranking to LLM scale through request routing and hardware co-design.

·2·2026.04.01 01:00

Kakao Community Data Center Recommendation Team Introduces Large-Scale Recommendation System Construction and Technical Culture

The Recommendation Team under Kakao's Community Data Center introduced the development of recommendation algorithms for services such as Melon and KakaoTalk, as well as its organizational culture.

·1·2020.06.23 00:00

Tech Talk: RecSys 2022

Upstage will host 'Upstage Talks,' inviting RecSys 2022 paper authors to share the latest trends in AI recommendation technology.

Upstage Achieves Top Performance Among Korean Companies at RecSys 2022

Upstage ranked 12th overall at the ACM RecSys Challenge 2022, the highest result among Korean companies.