Based on our record, OwnTracks should be more popular than Taste. It has been mentiond 38 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.
The only private alternatives are going to be self hosted and will require some technical skill. See owntracks for details. Source: about 1 year ago
On your side, you need some way to be tracked. Easy solution is an app on your phone, I like OwnTracks as a privacy-respecting option. Source: over 1 year ago
Sounds like owntracks with a android headunit https://owntracks.org/. Source: over 1 year ago
OwnTracks is app people can install on their phones that you can setup to send live gps coordinates back to your web server. Source: over 1 year ago
One container where this would have been an issue for me is OwnTracks recorder. Probably could have got it working on ARM if I wanted to compile the program then create a container around it, but didn't want to spend the time and instead just used the free tier x86_64 VM. Source: over 1 year ago
Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: about 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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