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The SmileSuggest Bookmarking Tool Automatically Saves Pages That Make You Happy

You probably already save the sites that make you laugh or smile the most, but this bookmarking tool automates the process for you. Google Chrome extension SmileSuggest uses your computer webcam and facial recognition software to automatically bookmark pages that make you smile or laugh. The browser add-on essentially watches you as you view different websites.

Created by Martin McAllister, the bookmarking tool uses the javascript-based clmtrackr emotion detecting program to determine when you see something that makes you happy. You can customize the settings by choosing the size your smile has to be for SmileSuggest to save a page. You can then browse through the saved sites and go a step further my recommending them to your friends and followers via social media.

Instead of facial recognition technology being used to identify ads and help marketers, SmileSuggest ensures users are the only ones who benefit.
Trend Themes
1. Automated Bookmarking Tools - SmileSuggest is an example of an automated bookmarking tool that uses facial recognition software to save pages that make users smile or laugh.
2. Facial Recognition in Web Browsing - The use of facial recognition technology in web browsing, as demonstrated by SmileSuggest, allows for a more personalized and intuitive browsing experience.
3. Social Sharing of Bookmarked Content - SmileSuggest enables users to share their bookmarked content with friends and followers on social media platforms, providing an opportunity for viral content discovery and engagement.
Industry Implications
1. Web Browsers - Automated bookmarking tools like SmileSuggest can disrupt the web browser industry by enhancing the user experience and providing a unique selling point.
2. Social Media - The integration of automated bookmarking tools with social media platforms, as seen with SmileSuggest, presents an opportunity for increased content sharing and engagement.
3. Facial Recognition Technology - The application of facial recognition technology in web browsing, exemplified by SmileSuggest, offers potential for further innovation in areas such as personalized advertising and user tracking.

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