A New Step from Google to Redesign Smart Search Results - Jordan News
'Web Guide' represents a new step in enhancing the online search experience, offering a smarter way to organize results using AI. It is now available as a trial within Search Labs, and is expected to roll out more broadly over time—helping users access information in a clearer, more efficient way, and offering a deeper search experience that allows for multi-angle exploration of complex or open-ended queries.
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A New Step from Google to Redesign Smart Search Results - Jordan News
Google has announced the launch of a new experimental feature within its research program Search Labs, called 'Web Guide.' This feature aims to redesign the online search experience by organizing results using artificial intelligence instead of displaying a traditional list of links. This launch represents a major update to Google Search and a significant step toward evolving how information is presented, in line with the shift toward AI-driven, more accurate and structured search results. اضافة اعلان 'Web Guide' Feature 'Web Guide' is powered by Google's Gemini AI model and uses a technique known as Query Fan‑out, in which multiple related sub-queries are sent out simultaneously. The algorithm then gathers and classifies the results into topic-based groups to make exploration and discovery easier. One of its standout features is the smart categorization of results—pages are shown under organized subheadings such as 'Comprehensive Guide' or 'Community Experiences.' This makes it easier for users to access relevant, structured content. Rather than just showing traditional links, this approach broadens discovery to include various sources such as niche websites and platforms like YouTube and Reddit, offering users a wider perspective on the topics they search for. This is particularly helpful for complex queries that require multi-faceted answers, such as step-by-step processes or informed decision-making. Differences and Additional Features In terms of how it compares to other Google Search features: Web Guide reorganizes real internet results into structured topic clusters to help users browse content more clearly and purposefully. AI Overviews offers a concise summary generated directly by the AI model, based on multiple sources, without necessarily showing clear link references. AI Mode provides a more interactive experience, allowing users to directly engage with the system and get instant responses via text or voice. Each feature offers a distinct way of presenting information—ranging from structured browsing to quick summaries and real-time interaction—catering to different user needs. Web Guide does not replace these features but complements them, focusing on making actual search results clearer and more objective. Accessing the Experience The feature is currently available to users enrolled in Search Labs and can be activated through the Web tab in the search interface. Users can switch at any time between the traditional view and the categorized version. Google has confirmed that this experience will eventually be integrated into the official search tab once the testing phase ends and user feedback is analyzed. 'Web Guide' represents a new step in enhancing the online search experience, offering a smarter way to organize results using AI. It is now available as a trial within Search Labs, and is expected to roll out more broadly over time—helping users access information in a clearer, more efficient way, and offering a deeper search experience that allows for multi-angle exploration of complex or open-ended queries.
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Google has officially launched its AI-powered virtual try-on feature for users in the United States. First unveiled at the Google I/O conference in May, this feature is part of the tech giant's 'Shopping Graph' initiative, based in Mountain View. It is now available in Google's AI Search experience, Google Shopping, and product listings within Google Images. With just a few steps, users can virtually try on a wide range of clothing items. The company has also updated its price tracking feature. اضافة اعلان Google Enables Virtual Clothing Try-On for Users In a blog post, Google announced the rollout of its virtual try-on feature in the U.S., allowing users to try on billions of clothing items listed in the Shopping Graph. The feature is integrated into AI-powered search, Google Shopping, and product results within Google Images. Users with access to the feature can go to Google Shopping and click on any product. In AI Search and Google Images, they'll need to search for a particular style or outfit and select one from the results. If the feature is available, a "Try it on" icon will appear. Clicking it will prompt the user to upload a full-body photo of themselves. Once uploaded, Google's AI will render how the item would look on their body. The virtual try-on feature also allows users to browse previous outfits they've tried, save favorites, and share looks with friends. It is powered by a custom fashion-focused generative image model that understands the human body and how fabric folds, stretches, and flows across various body types. Updated Price Alerts and Product Discovery In addition, Google is enhancing its price alert system with a new version of its price tracking feature, also available in the U.S. The updated version allows users to set alerts based on a specific size and color of a product, as well as a desired price. This means the tracker won't notify users unless the item becomes available in the exact variant they're looking for. Google is also developing a product discovery feature that will allow users to enter AI Search mode and request outfit inspiration or a look tailored for a specific occasion. The chatbot will then scan relevant products across the Shopping Graph and, using its visual matching technology, surface curated product listings the user may like. This feature is expected to become available in the U.S. later this year.
