Met Gala rocked as staff make revolting discovery hidden inside museum just hours before fashion's biggest night Shark Tank star Lori Greiner issues warning to 1.8bn Gmail users over hidden email setting I took an identical grocery list to Costco, Walmart and Target. The price difference for everyday items will shock you... but here's why I don't think the cheapest store is worth it Kobe Bryant's widow Vanessa speaks out on pregnancy and remarriage rumors six years on from Lakers legend's death America's fashion queen revealed as DailyMail+ unveils the Power List that humiliates Hollywood royalty, stuns Washington's elite... and leaves Lauren Sanchez reeling Britney Spears pleads guilty in DUI case and is sentenced to 12 months' probation as lawyer appears in court on her behalf Buc-ee's makes major rule change that leaves gas station fans furious My husband built a $250m empire but made me feel worthless. Our marriage was all but over... but my selfish act has deepened our intimacy in unimaginable ways Bianca Censori goes completely nude under sheer catsuit to visit med spa and leaves with noticeably fuller lips... while Kanye West waits in the car Trump threatens Iran will be'blown off the face of the earth' as missiles and drones target US ships.... and hits critical allies Warning as deadly venomous insect imported from China invades 20 US states... is your hometown at risk? Unsavory behaviors that risk toppling socialites from the front row... and how others stay on top Loyal McDonald's customer sipping his daily sweet tea spits drink out after feeling something SQUIRM through his straw US Open golf chief gives update on Tiger Woods' participation in the wake of DUI crash, arrest and rehab stint Innocent teen plunged into'sugar daddy' nightmare after posting video of her high school graduation ceremony online Shark Tank star Lori Greiner issues warning to 1.8bn Gmail users over hidden email setting A Shark Tank star has issued a stark safety warning to Gmail users about a default setting enabling Google to scan'every single' email. Lori Greiner, famous for her investments in products like Scrub Daddy and Squatty Potty, posted a video on her Instagram, urging users to block Google's AI in their accounts. 'Google doesn't want you to know this, but they've been allowing AI to scan every single one of your emails,' she said, adding that it includes'financial documents, tax information and personal conversations.'

Some users view AI chatbots as indispensable for helping run their affairs. But it can come at a cost. Some users view AI chatbots as indispensable for helping run their affairs. But it can come at a cost. AI chatbot fraud: the'gift card' subcription that may cost you dear After subscribing to the Claude chatbot, mystery payments started to appear on one family's credit card bill.

This paper presents a novel value-aware approach to product recommendation that simultaneously addresses the high dimensionality and sparsity of user-item data while explicitly incorporating the contribution of each product and user to overall sales revenue. The proposed framework encodes revenue contributions in the user-item matrix and computes customer similarity directly on this basis using suitable distance measures. This enables the segmentation of users according to the revenue-based similarity of their purchase baskets and supports recommendations aligned with profitability objectives. We compare conventional similarity metrics with a novel alternative tailored to high-dimensional contexts and propose three recommendation strategies based on revenue share, product popularity, and expected profit generation. The effectiveness of the proposed method is validated through simulation experiments and a real-world application using the UCI Online Retail dataset.

The Kentucky-based builder shows how carpentry and a spark of creativity can go a long way. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. PSA: Basic sailing technique and safety precautions are needed for safe homemade ships. Breakthroughs, discoveries, and DIY tips sent six days a week. It traditionally takes years of training and apprenticeship before shipbuilders truly master the art of handcrafting wooden vessels .

Rapid model validation via the train-test paradigm has been a key driver for the breathtaking progress in machine learning and AI. However, modern AI systems often depend on a combination of tasks and data collection practices that violate all assumptions ensuring test validity. Yet, without rigorous model validation we cannot ensure the intended outcomes of deployed AI systems, including positive social impact, nor continue to advance AI research in a scientifically sound way. In this paper, I will show that for widely considered inference settings in complex social systems the train-test paradigm does not only lack a justification but is indeed invalid for any risk estimator, including counterfactual and causal estimators, with high probability. These formal impossibility results highlight a fundamental epistemic issue, i.e., that for key tasks in modern AI we cannot know whether models are valid under current data collection practices. Importantly, this includes variants of both recommender systems and reasoning via large language models, and neither naïve scaling nor limited benchmarks are suited to address this issue. I am illustrating these results via the widely used MOVIELENS benchmark and conclude by discussing the implications of these results for AI in social systems, including possible remedies such as participatory data curation and open science.

More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. We may earn revenue from the products available on this page and participate in affiliate programs. Pools are great for relaxing, which is part of why cleaning them feels so laborious. I want to float on my back with a Coke Zero on my stomach, not scoop scum. Robotic pool vacuums can simplify the cleaning process, but the cord causes problems.

Extreme multi-label text classification (XMC) seeks to find relevant labels from an extreme large label collection for a given text input. Many real-world applications can be formulated as XMC problems, such as recommendation systems, document tagging and semantic search. Recently, transformer based XMC methods, such as XTransformer and LightXML, have shown significant improvement over other XMC methods. Despite leveraging pre-trained transformer models for text representation, the fine-tuning procedure of transformer models on large label space still has lengthy computational time even with powerful GPUs. In this paper, we propose a novel recursive approach, XR-Transformer to accelerate the procedure through recursively fine-tuning transformer models on a series of multi-resolution objectives related to the original XMC objective function. Empirical results show that XRTransformer takes significantly less training time compared to other transformerbased XMC models while yielding better state-of-the-art results. In particular, on the public Amazon-3M dataset with 3 million labels, XR-Transformer is not only 20x faster than X-Transformer but also improves the Precision@1 from 51% to 54%. Our code is publicly available at https://github.com/amzn/pecos.

Gear Home Walmart's massive spring sale has electric and gas-powered yard tools dropped to clearance prices Greenworks 60V mowers are $150 off, the Mammotion LUBA 2 robot mower is $260 off, and a 3,500 PSI gas pressure washer is half price at Walmart this week. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Crab grass doesn't stand a chance. We may earn revenue from the products available on this page and participate in affiliate programs. Walmart is running a big outdoor power equipment sale as part of its Patio & Garden event, and there are more than 150 mowers, trimmers, blowers, pressure washers, and chainsaws hanging around their lowest prices of the year.

Get ready for summer with discounts on robot pool cleaners from Beatbot. National Pool Opening Day is tomorrow, April 25, and summer is almost here, which means pool owners everywhere are getting ready to unveil the horrors of whatever happened during the off-season. Most of the Beatbot lineup is on sale at Amazon and Beatbot's own storefront, with prices starting at $499. Beatbot makes many of the best pool-cleaning robots we've tested, and we've highlighted our top picks below. Note that the discounts are scheduled to end on April 26, though items may sell out sooner.

A shrinking market is a ubiquitous challenge faced by various industries. In this paper we formulate the first formal model of shrinking markets in multi-item settings, and study how mechanism design and machine learning can help preserve revenue in an uncertain, shrinking market. Via a sample-based learning mechanism, we prove the first guarantees on how much revenue can be preserved by truthful multi-item, multi-bidder auctions (for limited supply) when only a random unknown fraction of the population participates in the market. We first present a general reduction that converts any sufficiently rich auction class into a randomized auction robust to market shrinkage. Our main technique is a novel combinatorial construction called a winner diagram that concisely represents all possible executions of an auction on an uncertain set of bidders. Via a probabilistic analysis of winner diagrams, we derive a general possibility result: a sufficiently rich class of auctions always contains an auction that is robust to market shrinkage and market uncertainty. Our result has applications to important practically-constrained settings such as auctions with a limited number of winners. We then show how to efficiently learn an auction that is robust to market shrinkage by leveraging practically-efficient routines for solving the winner determination problem.