Online shopping is a complex multi-task, few-shot learning problem with a wide and evolving range of entities, relations, and tasks. However, existing models and benchmarks are commonly tailored to specific tasks, falling short of capturing the full complexity of online shopping. Large Language Models (LLMs), with their multi-task and few-shot learning abilities, have the potential to profoundly transform online shopping by alleviating task-specific engineering efforts and by providing users with interactive conversations.

Online kernel learning (OKL) is a flexible framework for prediction problems, since the large approximation space provided by reproducing kernel Hilbert spaces often contains an accurate function for the problem. Nonetheless, optimizing over this space is computationally expensive. Not only first order methods accumulate O( T) more loss than the optimal function, but the curse of kernelization results in a O(t) per-step complexity.

If you've ever booked a hotel or flight only to see the price drop the very next day, or have been putting your travel dreams on hold altogether because of the prices, your worries are over. OneAir is a members-only, all-in-one AI-powered travel platform built for modern travelers. Their intelligent search engine scans and tracks millions of flight and hotel deals from your home airport to leading global destinations. Members receive instant mobile and email alerts as soon as travel prices drop. A lifetime subscription is now available to new users for just 59.99 when you use code FLY30 at checkout.

Causality-based recommendation systems focus on the causal effects of user-item interactions resulting from item exposure (i.e., which items are recommended or exposed to the user), as opposed to conventional correlation-based recommendation. They are gaining popularity due to their multi-sided benefits to users, sellers and platforms alike. However, existing causality-based recommendation methods require additional input in the form of exposure data and/or propensity scores (i.e., the probability of exposure) for training. Such data, crucial for modeling causality in recommendation, are often not available in real-world situations due to technical or privacy constraints.

SAVE OVER 100: As of May 22, the Dyson Supersonic Nural hair dryer is on sale for 399 at Amazon. Dyson has a dedicated bunch of fans out there, so when they release a limited edition jasper plum colorway, it causes a big stir. So what do these fans do when presented with the opportunity to get their hands on this stylish new color? They wait for that first deal to drop. As of May 22, the Dyson Supersonic Nural hair dryer is on sale for 399 at Amazon.

In recent years, Google Search's shopping features have evolved to make Search a one-stop shop for consumers searching for specific products, deals, and retailers. Shoppers on a budget can scour Search's Shopping tab during major sale events to see which retailer offered the best deal and where. But often, consumers miss out on a product's most productive discount, paying more later because they don't want to wait again. During this year's Google I/O developer conference, Google aims to solve this problem with AI. Shopping in Google's new AI Mode integrates Gemini's capabilities into Google's existing online shopping features, allowing consumers to use conversational phrases to find the perfect product.

Online shopping has never been perfect. If I'm online scouting for a good deal on a pair of shoes, I have to sort through several options, sizes, colors, and price points to find what I want. And if I want to buy the shoes at a discount, I have to wait several weeks or months and come back when the price drops. At Google's annual developer event, Google IO, the tech giant is debuting an AI-powered solution to online shoppers' problems in the form of AI Mode. AI Mode offers online shoppers several options for finding exactly what they want, virtually trying on the clothing before they buy, and tracking prices to buy when a product is at its lowest.

Memorial Day is just around the corner, and you know what that means: Sales galore. As usual, Amazon is ahead of the game with up to 55% off select items from Amazon devices, kitchen items, home goods, electronics, and more, so shoppers can start prepping for summer. The sale started on May 16 and runs through Monday, May 26. Of course, these deals might get even better as the holiday gets closer. Here are some of the best Amazon Memorial Day sales you can shop now.

Scanners were great … in 2005. These days, who has time--or desk space--for a chunky machine that you no longer need? There's a document-scanner app that does the same thing your old hunk of beef does, but it does the job even better. You can dodge the app's subscription fees with our lifetime offering: Use code SCAN at checkout to get it for 24.99 through June 1 (reg. If you can take a photo, you can scan documents with iScanner.