Blinkist connects people with powerful ideas from the world’s leading thinkers to help them grow their knowledge, broaden their perspectives, make better decisions, and thrive in all areas of life. Used by over 25 million people worldwide, Blinkist finds the most relevant, impactful books and podcasts and distills them down to their key ideas, which can be read or listened to in 15-minute explainers called Blinks. The platform features over 6,000 titles, making it the most comprehensive library of its kind. Blinkist members can also be guided through inspiring topics in personal and professional growth with their expert-led Guides.
As I listened to a BLINK as a 7 book at a time guy. I was sold, it was sort of like talking to an intresting friend, about what they have learnt from something. Loads of stimulating ideas. I just have to put my mony up now and have my empty 5mins during the day filled with real brain tickling.
Based on our record, Taste should be more popular than Blinkist. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I've always read them, just starting to use growth.me and blinkist.com but I'm curious what others think of them. Source: over 3 years ago
Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: almost 2 years ago
On a social website (taste.io) I read a comment complaining about ‘bi- and homophobia sprinkled throughout [Elementary]’. The site doesn’t allow to react to comments so I couldn’t ask the person, but their comment got me thinking and I would like to hear people’s opinion: Do you think the show has some problematic moments in regards to lgbt+ representation and if yes, can you provide concrete examples? Source: over 2 years ago
It's John from taste.io, I think it depends on the method you want to use and where you're able to retrieve data to train the model. With a short amount of time and limited resources, you won't have the luxury of creating a collaborative filtering model....content-filtering is possible if you can also be resourceful with APIs + build crawlers. But, the results might be mediocre...meaning, the recommendations... Source: almost 3 years ago
I have been asked to build a recommender system for TV shows at large scale, meaning thousands of users across the entire libraries of services like Netflix, Hulu and Amazon Prime. Something like taste.io but completely focussed on TV shows and not movies. My main concern is the complexity of this project, I have read up on recommender systems, and they seem fairly straightforward, its the scale that scares me. Source: almost 3 years ago
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