Taste
Letterboxd
And Chill
IMDb
MovieLens
Criticker
Simkl
TasteDive
Userlane
UserGuiding
Appcues
Usetiful
WalkMe
Userpilot
Stonly
Product Fruits
Tools are created to serve our own purposes and technology needs to add value to our lives without creating friction.People should not adapt to technology. Technology needs to adapt to people. We don't need to teach people how to interact with software but train software to interact with people. Software adoption relies on people learning how to navigate through a user interface. But this causes resistance and hinders productivity. We close the knowledge gap between humans and machines by allowing anybody to operate any software instantly. For Software providers that need to sell their product the ability to guide users in real time translates into higher engagement, activation, conversion, and retention. Companies that implement on-screen interactive guidance in the applications their staff needs to work with, solve all the logistic problems connected to staff training and see an increase in productivity that derives from a workforce which is fully operative in any software application from the get-go.
UserlaneBased 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
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
UserGuiding - Create in-app experiences with the most straightforward product adoption platform — quick implementation, lasting user engagement.
And Chill - andchill is a new way of enjoying movies and videos with your friends.
Appcues - Improve user onboarding, feature activation & more — no code required! Stop waiting on dev and start increasing customer engagement today. Try it for free.
IMDb - Internet Movie Database
Usetiful - Fight user churn with great user onboarding. Interactive product tours and smart tips significantly improve your user retention.