I've recently discovered tons of content on Netflix that I've never seen because of recommandations. I've actually liked some items besides of keywords I would never have typed ! And I felt like I was stuck in a bubble where I'm surrounded of things that I'm sure I'd like (well, 98% sure) but without the hability to discover new areas/fields.
Is this kind of bubble assumed with your model?
@tom_sp well, Netflix recommender is great but the fundamental problem is that they will be biased since they are also a content creator. How many 98% recommended shows just happen to be Netflix Originals 🙄
Gusta can remain an unbiased recommender for everything, that’s the idea.
Love how fast and lightweight it is!
How are you going to beat the discovery and recommendation engines in the apps I already use? Like Yelp, Spotify, Podcaster/Breaker, Pocket/Nuzzel, IMDB, Metacritic etc.
@persak Thanks! One differentiator is on Gusta we can use your ratings in one category to recommend you stuff in another category. Your ratings on Music to integrate into your recommendations for Movies. Your ratings on Food Items to recommend you what to order at a restaurant. Your ratings on Books to recommend online articles. You get the point.
Also, Gusta's filters make ratings much more customizable, you can filter by user gender, age, location, etc. For example, what music do 20-25 year old females like. What Burritos do people in Los Angeles like the most.
@persak Also, as mentioned in previous comment, other services have some ulterior motives that Gusta currently avoids. Netflix has their own shows/movies. Yelp has paying restaurants/a delivery service that they want to promote.
Gusta
stoic.
Gusta
Gusta
Gusta