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 Personal Assistant Systems


Who Is Jay Clayton, Trump's Pick for Director of National Intelligence?

TIME - Tech

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U.K. to Ban Under-16s From Social Media. Here's What Apps Are Included and When It Is Set to Start

TIME - Tech

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40b5237c3e025c72c02dd8b6716dac76-Paper-Conference.pdf

Neural Information Processing Systems

Graph-based recommender systems have achieved remarkable effectiveness by modeling high-order interactions between users and items. However, such approaches are significantly undermined by popularity bias, which distorts the interaction graph's structure--referred to as topology bias. This leads to overrepresentation of popular items, thereby reinforcing biases and fairness issues through the user-system feedback loop. Despite attempts to study this effect, most prior work focuses on the embedding or gradient level bias, overlooking how topology bias fundamentally distorts the message passing process itself. We bridge this gap by providing an empirical and theoretical analysis from a Dirichlet energy perspective, revealing that graph message passing inherently amplifies topology bias and consistently benefits highly connected nodes. To address these limitations, we propose Test-time Simplicial Propagation (TSP), which extends message passing to higher-order simplicial complexes. By incorporating richer structures beyond pairwise connections, TSP mitigates harmful topology bias and substantially improves the representation and recommendation of long-tail items during inference. Extensive experiments across five real-world datasets demonstrate the superiority of our approach in mitigating topology bias and enhancing recommendation quality. The implementation code is available at https://github.com/sotaagi/TSP.


'I Love Movies Because of Women.' How John Early Pulled Off Maddie's Secret

TIME - Tech

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Turkey's Erdogan Is Running Out of Tricks

TIME - Tech

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Why Fines Alone Won't Make Social Media Safer For Kids

TIME - Tech

If courts want to reduce harm, they must focus on product design choices, measurable safety outcomes, and governance, write Peter Chapman, Ravi Iyer, and Meetali Jain.


Why You Should Seek Out a Few Minutes of Awe Every Day

TIME - Tech

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Feeding Kids Eggs Early in Life Helps Prevent Food Allergy, New Study Says

TIME - Tech

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TIME Reveals the Inaugural 2026 TIME Visionaries List

TIME - Tech

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The Gun-Safety Advocate Bringing Communities Together Across America

TIME - Tech

Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Gun violence is the leading cause of death for children in the United States. Each year, more than 4,400 children and teens are shot and killed, and over 17,000 are shot and wounded--an average of 60 per day .