Tootfinder

‘The ocean is spitting our rubbish back’: Italy’s museum of plastic pollution https://www.theguardian.com/environment/2025/aug/09/italy-museum-of-plastic-pollution-faded-items-beaches-ocean

X-iting: Local Governments Are Stepping Away from Musk’s Platform:
https://thetyee.ca/News/2025/09/10/X-iting-Local-Governments/?utm_source=mastodon&utm_medium=social&utm_campaign=editorial

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 403394 nodes and 3387388 edges.
Tags: Economic, Commerce, Unweighted

"Meme Marketing in Social Media: Ein medienpraxeografischer Vergleich von Memes und Werbung" http://omeka.buechner-verlag.de/items/show/38 #socialmedia

Detecting Legend Items on Historical Maps Using GPT-4o with In-Context Learning
Sofia Kirsanova, Yao-Yi Chiang, Weiwei Duan
https://arxiv.org/abs/2510.08385 https://

Detecting Legend Items on Historical Maps Using GPT-4o with In-Context Learning
Historical map legends are critical for interpreting cartographic symbols. However, their inconsistent layouts and unstructured formats make automatic extraction challenging. Prior work focuses primarily on segmentation or general optical character recognition (OCR), with few methods effectively matching legend symbols to their corresponding descriptions in a structured manner. We present a method that combines LayoutLMv3 for layout detection with GPT-4o using in-context learning to detect and …

We’re closing in on this month’s release of OmniFocus 4.7, with planned dates, mutually-exclusive tags, and improved repeats!
Updated test builds are now available, adding new settings for Forecast counts and summary dots, adding support for keyboard modifiers when using drag-and-drop in Forecast on iPad and visionOS (bringing parity with the support already on Mac), and making other improvements and bug fixes.

Generation and annotation of item usage scenarios in e-commerce using large language models
Madoka Hagiri, Kazushi Okamoto, Koki Karube, Kei Harada, Atsushi Shibata
https://arxiv.org/abs/2510.07885

Generation and annotation of item usage scenarios in e-commerce using large language models
Complementary recommendations suggest combinations of useful items that play important roles in e-commerce. However, complementary relationships are often subjective and vary among individuals, making them difficult to infer from historical data. Unlike conventional history-based methods that rely on statistical co-occurrence, we focus on the underlying usage context that motivates item combinations. We hypothesized that people select complementary items by imagining specific usage scenarios an…

Building a Runtime JAR inspector in 10 hours
https://devblogs.microsoft.com/java/building-a-runtime-jar-inspector-in-10-hours/

"Monopole im medienindustriellen Komplex? : Verwertungsgesellschaften gestern, heute, morgen" http://omeka.buechner-verlag.de/items/show/37 #GEMA

aus der reihe "amüsante buchtitel" heute: "»Vrummmummmmm FVISH!« : Soundscapes as Part of Constant Conversations in Action-Adventure Video Game Heterotopias" http://omeka.buechner-verlag.de/items/show/39