Tootfinder

Gmail-App separiert Käufe und Paketverfolgung, stellt relevante Werbung heraus
Google spendiert allen Nutzern von Gmail zwei neue Funktionen. Käufe und Paketzustellungen sind im Menü zu finden, Werbung wird nach Relevanz sortiert.

TaoSR-SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevance
Pengkun Jiao, Yiming Jin, Jianhui Yang, Chenhe Dong, Zerui Huang, Shaowei Yao, Xiaojiang Zhou, Dan Ou, Haihong Tang
https://arxiv.org/abs/2510.07972

TaoSR-SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevance
Query-product relevance analysis is a foundational technology in e-commerce search engines and has become increasingly important in AI-driven e-commerce. The recent emergence of large language models (LLMs), particularly their chain-of-thought (CoT) reasoning capabilities, offers promising opportunities for developing relevance systems that are both more interpretable and more robust. However, existing training paradigms have notable limitations: SFT and DPO suffer from poor generalization on l…

Retentive Relevance: Capturing Long-Term User Value in Recommendation Systems
Saeideh Bakhshi, Phuong Mai Nguyen, Robert Schiller, Tiantian Xu, Pawan Kodandapani, Andrew Levine, Cayman Simpson, Qifan Wang
https://arxiv.org/abs/2510.07621

Retentive Relevance: Capturing Long-Term User Value in Recommendation Systems
Recommendation systems have traditionally relied on short-term engagement signals, such as clicks and likes, to personalize content. However, these signals are often noisy, sparse, and insufficient for capturing long-term user satisfaction and retention. We introduce Retentive Relevance, a novel content-level survey-based feedback measure that directly assesses users' intent to return to the platform for similar content. Unlike other survey measures that focus on immediate satisfaction, Retenti…

Putin says Alaska agreements with Trump on Ukraine still relevant: https://benborges.xyz/2025/10/10/putin-says-alaska-agreements-with.html

Der einzig relevante Jahresrückblick kommt natürlich von @…! 😁
Mein Podcast-Jahr 2025. #AntennaPodEcho
1. 11KM: der @…@…

#GNU findutils help:
> ‘environment is too large for exec’
>
> This message means that you have so many environment variables set (or such large values for them) that there is no room within the system-imposed limits on program command line argument length to invoke any program. This is an unlikely situation and is more likely result of an attempt to test the limits of xargs, or break it. Please try unsetting some environment variables, or exiting the current shell. You can also use ‘xargs --show-limits’ to understand the relevant sizes.
Okay, let's check:
$ xargs --show-limits
xargs: environment is too large for exec
🤦

Per Zufall bin ich über die #blogparade2025 gestolpert und da das Thema bei blogissimo interessant war, hab ich mal einen Beitrag geliefert. Hoffentlich #relevant

De maneira geral, as pessoas mostram como são burras em comentšrios sobre notícias em redes sociais. Mas parece que é ainda pior quando são notícias internacionais. Fica um espírito de jogo de futebol somado a um conhecimento nulo de geopolítica. E o cidadão médio parece entender ainda menos de geopolítica do que das outras coisas. Mesmo pessoas que costumam tecer comentšrios relevantes em política nacional comumente falam muita groselha quando assunto é política internacional.

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
Jianhui Yang, Yiming Jin, Pengkun Jiao, Chenhe Dong, Zerui Huang, Shaowei Yao, Xiaojiang Zhou, Dan Ou, Haihong Tang
https://arxiv.org/abs/2510.08048

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
Query-product relevance prediction is fundamental to e-commerce search and has become even more critical in the era of AI-powered shopping, where semantic understanding and complex reasoning directly shape the user experience and business conversion. Large Language Models (LLMs) enable generative, reasoning-based approaches, typically aligned via supervised fine-tuning (SFT) or preference optimization methods like Direct Preference Optimization (DPO). However, the increasing complexity of busin…