On E-commerce stores, there are rich recommendation content to help shoppers shopping more efficiently. However given numerous products, it's crucial to select most relevant content to reduce the burden of information overload. We introduced a content ranking service powered by a linear causal bandit algorithm to rank and select content for each shopper under each context. The algorithm mainly leverages aggregated customer behavior features, and ignores single shopper level past activities. We study the problem of inferring shoppers interest from historical activities. We propose a deep learning based bandit algorithm that incorporates historical shopping behavior, customer latent shopping goals, and the correlation between customers and content categories. This model produces more personalized content ranking measured by 12.08% nDCG lift.

The week after Memorial Day can sometimes be a little sleepy on the deals front, but this week we saw a good number of sales, particularly on audio equipment. The headliner deal, a rare sale at Sonos, takes up to 25 percent off some of the brand's most popular speakers. JBL is discounting a few of its better Bluetooth speakers, Sony's new WH-CH720N headphones are down to $128 and Apple's AirPods Pro have dropped back to $200. Solo Stove carried over its holiday sale to this week, in which you can save up to 45 percent on the brand's mostly smokeless fire pits or get $120 off one of our recommended pizza ovens. Here are the best tech deals from this week that you can still get today. Sonos' high-end Dolby Atmos soundbar is down to a surprisingly low price.

There is high demand for online fashion recommender systems that incorporate the needs of the consumer's body shape. As such, we present a methodology to classify human body shape from a single image. This is achieved through the use of instance segmentation and keypoint estimation models, trained only on open-source benchmarking datasets. The system is capable of performing in noisy environments owing to to robust background subtraction. The proposed methodology does not require 3D body recreation as a result of classification based on estimated keypoints, nor requires historical information about a user to operate - calculating all required measurements at the point of use. We evaluate our methodology both qualitatively against existing body shape classifiers and quantitatively against a novel dataset of images, which we provide for use to the community. The resultant body shape classification can be utilised in a variety of downstream tasks, such as input to size and fit recommendation or virtual try-on systems.

Avoiding manual floor maintenance is a lovely thing, but a good robot vacuum will cost you. Our current favorite pick for a mop and vac combo, iRobot's Roomba j7 usually sells for $1,099 but Wellbots will knock $300 off the list price when you use the code 300ENGADGET at checkout. That beats a $200 discount we saw earlier this year and represents an all-time low for a gadget that "earned its place" in on of our senior editors' smart home. Wellbots has a few other vacs on sale too, also with discount codes, listed below. Our top pick for a mop and vacuum combo is $300 off right now when you use the code 300ENGADGET at checkout.

In retail (e.g., grocery stores, apparel shops, online retailers), inventory managers have to balance short-term risk (no items to sell) with long-term-risk (over ordering leading to product waste). This balancing task is made especially hard due to the lack of information about future customer purchases. In this paper, we study the problem of restocking a grocery store's inventory with perishable items over time, from a distributional point of view. The objective is to maximize sales while minimizing waste, with uncertainty about the actual consumption by costumers. This problem is of a high relevance today, given the growing demand for food and the impact of food waste on the environment, the economy, and purchasing power. We frame inventory restocking as a new reinforcement learning task that exhibits stochastic behavior conditioned on the agent's actions, making the environment partially observable. We make two main contributions. First, we introduce a new reinforcement learning environment, RetaiL, based on real grocery store data and expert knowledge. This environment is highly stochastic, and presents a unique challenge for reinforcement learning practitioners. We show that uncertainty about the future behavior of the environment is not handled well by classical supply chain algorithms, and that distributional approaches are a good way to account for the uncertainty. Second, we introduce GTDQN, a distributional reinforcement learning algorithm that learns a generalized Tukey Lambda distribution over the reward space. GTDQN provides a strong baseline for our environment. It outperforms other distributional reinforcement learning approaches in this partially observable setting, in both overall reward and reduction of generated waste.

To paraphrase the problematic classic movie Love, Actually: It's Memorial Day, and this is the season when we will tell the truth. The truth is, you've been dreaming of a new air fryer, haven't you? If the price tag has been scaring you away from finding your next great kitchen or home device, these Memorial Day sales are right up your alley. Don't see anything you like here? We already have some outdoor Memorial Day deals, with more to come over the weekend.

Doctors believe Artificial Intelligence is now saving lives, after a major advancement in breast cancer screenings. A.I. is detecting early signs of the disease, in some cases years before doctors would find the cancer on a traditional scan. Artificial intelligence may seem like an emerging technology bound for regular use by humans in the distant future, but there are various machine learning products that millions of people already use in their daily lives. Machine learning technology is featured in a variety of everyday technologies, such as search engines, online shopping algorithms, navigation systems, and smartphones. Popular AI products can help you get from one destination to the next, search for facts about your favorite movie, or help you shop for a particular product online.

Whether it's turning off lights when not using them or bringing a reusable water bottle instead of buying a plastic one, many of us try to take measures to reduce our carbon footprint. Now, Sainsbury's has opened a new store that even makes your weekly food shop more eco-friendly. The'ground-breaking' store in Hook, Hampshire, is Sainsbury's most energy-efficient supermarket yet. It has several impressive features, including doors on chilled cabinets, 700 solar panels on the roof and even floor sensors that adjust the LED lights in response to natural light. 'This is a really proud moment for Sainsbury's as we launch a brilliant new supermarket that puts our commitment to reducing our impact on the environment into clear focus,' said Ryan Cox, Sainsbury's Hook Store Manager.

Amazon.com Inc. plans to bring ChatGPT-style product search to its web store, rivaling efforts by Microsoft Corp. and Google to weave generative artificial intelligence into their search engines. The e-commerce giant's ambitions appear in recent job postings reviewed by Bloomberg News. One listing seeking a senior software development engineer says the company is "reimagining Amazon Search with an interactive conversational experience" designed to help users find answers to questions, compare products and receive personalized suggestions. "We're looking for the best and brightest across Amazon to help us realize and deliver this vision to our customers right away," the company said in the listing, which was posted on its jobs board last month. "This will be a once in a generation transformation for Search."

The biggest news in tech this week came from Google's annual developer conference on Wednesday. They announced three new devices: The Pixel 7a smartphone, the Pixel Tablet and the Pixel Fold. Discounts on brand new products don't happen often, but both Amazon and Google were quick to bundle Pixel 7a orders with a $50 Amazon gift card, or a free pair of Pixel Buds, respectively -- not sales per se, but free stuff is still compelling for anyone already planning on getting a new phone. Of course, there were deals unrelated to Google too, like savings on Amazon devices including the Fire TV Stick 4K Max, Echo speakers, and nearly all Kindle models. Here are the best tech deals from this week that you can still get today.