Usetiful bridges the gap between users and digital systems. Guided tours and smart tips allow users to master any software system from day one.
Usetiful provides interactive product tours and smart tips into your application, improving user adoption and conversions instantly.
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It was easy to get started - I have registered the free plan and created the first tour in approximately 15 minutes. Since then I have been improving on the experience.
Part of my application is a single-page app. It was quite techy to get this part running. Kudos for the customer support that walked me through!
I use Usetiful for various clients' projects that require product tours. Everyone was satisfied so far. Web editor allows me to quickly update the content and browser extension to preview the tours. Reports provide enough detail.
Based on our record, Taste seems to be more popular. 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.
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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