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Reading long articles can be a drag, right? We're experimenting a new method

2 pointsby Keshini_shopynw8 months ago

1 comment

Keshini_shopynw8 months ago
Hi I’m Keshini, and together with my team, I’m building ‘Trendly: QnA based recommendation engine for content.<p>We’re trying to solve one of the biggest problems that is associated with content aggregators. “Reading Long articles for day-to-day updates. We figured out that people are now using content aggregators to cover their daily news apart from social media. Maybe that&#x27;s because of the dissemination of false information and manipulation.<p>Our solutions is a QnA based recommendation engine which extracts the essential information from the content and generates questions to cover the entire context within a couple of seconds. Readers can easily cover long form articles through generated questions. Additionally, we&#x27;re planning to implement a powerful recommendation engine to ensure users receive content according to their preferences.<p>We currently integrate this with RSS feeds and would love to hear your feedback. Also, we’re still in the formative stage and hoping to release many cool features in the future.<p>If you’re interested in trying it out, I’d really appreciate your thoughts on what works, what doesn’t, and any features you’d like to see.
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