Creating a taxonomy of interests is expensive and human-effort intensive: not only do we need to identify nodes and interconnect them, in order to use the taxonomy, we must also connect the nodes to relevant entities such as users, pins, and queries. Connecting to entities is challenging because of ambiguities inherent to language but also because individual interests are dynamic and evolve. Here, we offer an alternative approach that begins with bottom-up discovery of $\mu$-topics called pincepts. The discovery process itself connects these $\mu$-topics dynamically with relevant queries, pins, and users at high precision, automatically adapting to shifting interests. Pincepts cover all areas of user interest and automatically adjust to the specificity of user interests and are thus suitable for the creation of various kinds of taxonomies. Human experts associate taxonomy nodes with $\mu$-topics (on average, 3 $\mu$-topics per node), and the $\mu$-topics offer a high-level data layer that allows quick definition, immediate inspection, and easy modification. Even more powerfully, $\mu$-topics allow easy exploration of nearby semantic space, enabling curators to spot and fill gaps. Curators' domain knowledge is heavily leveraged and we thus don't need untrained mechanical Turks, allowing further cost reduction. These $\mu$-topics thus offer a satisfactory "symbolic" stratum over which to define taxonomies. We have successfully applied this technique for very rapidly iterating on and launching the home decor and fashion styles taxonomy for style-based personalization, prominently featured at the top of Pinterest search results, at 94% precision, improving search success rate by 34.8% as well as boosting long clicks and pin saves.

While most job interviews were once face-to-face affairs, during the Covid-19 pandemic there was a surge in the number of interviews taking place online. Amid this rise, many companies started using AI tools to sift through candidates before they were interviewed by a human. These tools are marketed as unbiased against gender and ethnicity, with developers claiming they can help to improve diversity in the workplace. However, a new study has warned that using AI in hiring is little better than'automated pseudoscience'. Researchers from the University of Cambridge found that.

Save on everything from kitchen to the bedroom with these home deals. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. There's nothing I love more than a goo home decor sale. I mean, furniture and cooking gadgets can be quite expensive, and if you're going to buy one of these necessities anyway, you might as well save on them.

This week's sales run the gamut from home decor to Halloween costumes to kitchen tools, tech gadgets, and more. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. This week, the internet is chock full of incredible deals, from savings on tech gadgets and video games to top-notch cooking tools. We sifted through all of them to bring you the best of the best, including many of the best products we've ever tested as well as popular items you'll love and some great retail sales.

AI startup DigitalBridge has created an app, which is designed to help people visualise how their home would look with a new lick of paint or some new furniture before making a decision they might later regret. The idea for the app came from David Levine and his wife, who wanted to redecorate the dining room in their Manchester (UK) home, but couldn't picture how any of the designs would look on their walls. The technology uses GPU-accelerated machine learning and computer vision to let people visualise how wallpaper, a coat of paint, new furniture and other home decor would look in their own rooms. "I figured I wasn't the only person who couldn't imagine what wallpaper would look like in a room," Levine said. In an independent survey conducted for DigitalBridge, about a third of shoppers said they'd delayed or cancelled decorating projects because they couldn't picture how items would look in their own homes.

One of the things I've always wanted from technology is the ability to point my phone at something or take a screenshot, and have it say, here's what that thing is and here's where you can buy it. Well, my lavish consumerist dream is starting to come true, and Grokstyle is one company working to make it so -- in this case, automatically identifying furniture and home decor from just about any picture or angle. The basic idea is this: you open an app or web interface, and upload or take a picture of, say, a chair or lamp you like. The Grokstyle service immediately returns the closest matches, either including the object itself or ones very like it. That would of course be very handy for any interior decorator, but ordinary shoppers can make it work, too.

One of the things I've always wanted from technology is the ability to point my phone at something or take a screenshot, and have it say, here's what that thing is and here's where you can buy it. Well, my lavish consumerist dream is starting to come true, and Grokstyle is one company working to make it so -- in this case, automatically identifying furniture and home decor from just about any picture or angle. The basic idea is this: you open an app or web interface, and upload or take a picture of, say, a chair or lamp you like. The Grokstyle service immediately returns the closest matches, either including the object itself or ones very like it. That would of course be very handy for any interior decorator, but ordinary shoppers can make it work, too.