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Taste might be a bit more popular than Condens.io. We know about 4 links to it since March 2021 and only 3 links to Condens.io. 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.
Https://dovetailapp.com/ and https://condens.io/ (both excellent and specifically focused on user research). Source: about 2 years ago
Other options include EnjoyHQ, Aurelius, and Condens. Out of those 3, I tried Condens last year and gave up on it, because the transcription quality was sub-par. When we were considering which tool to use earlier this year, the video montage option and the ability to do the analysis fully from the tool swayed us, and we ended up picking Dovetail. So it really depends on what you want the repository to do, support... Source: over 2 years ago
Look at Condens. We demo’d it last year. I like it a lot as a tool to aid in synthesis. Didn’t end up going with it because it didn’t meet all of our requirements as a team, but I was still very impressed. 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
Dovetail - Mobile Cloud-Based Dental Software
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
EnjoyHQ - A customer research platform for product teams
IMDb - Internet Movie Database
UserBit - A full-stack qualitative research platform for UX & product teams.
And Chill - andchill is a new way of enjoying movies and videos with your friends.