Answerly is a blockchain based Q&A platform that rewards the users up to $1 (in Answerly tokens) for posting high quality answers on different questions. Users can easily search for the topics that they're interested in and answers to it. Users can also tip answers that they found helpful.
Taste might be a bit more popular than Answerly. We know about 4 links to it since March 2021 and only 4 links to Answerly. 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.
Know more about : https://answerly.app/. Source: almost 2 years ago
We would really appreciate Stellar community's feedback on answerly.app. Source: almost 2 years ago
At the same time, I think its much better to at least go through our project (answerly.app) and understand how it works before having a negative opinion about it. Source: about 2 years ago
Answerly platform - https://answerly.app/ :. Source: about 2 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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