TINQ VS Taste

Compare TINQ VS Taste and see what are their differences

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Taste

Get movie suggestions based on personal taste.

Landing page //
2022-01-30

Landing page //
2023-05-08

Tinq Timesheet Reports

Taste videos

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2018 MRE Pepperoni Pizza MRE Review Meal Ready to Eat Ration Taste Testing

Category Popularity

0-100% (relative to TINQ and Taste)

Taste

Movie Reviews

46 46%

Movie Reviews

54% 54

Movies

40 40%

Movies

60% 60

iPhone

52 52%

iPhone

48% 48

Movie Ratings

38 38%

Movie Ratings

62% 62

User comments

Share your experience with using TINQ and Taste. For example, how are they different and which one is better?

Social recommendations and mentions

Based 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.

TINQ mentions (0)

We have not tracked any mentions of TINQ yet. Tracking of TINQ recommendations started around Mar 2021.

Taste mentions (4)

Letterboxd Dating App
Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: almost 2 years ago
In-show bi- and homophobia?
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: about 2 years ago
How difficult would it be to build a recommender system for TV shows at scale?
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: over 2 years ago
How difficult would it be to build a recommender system for TV shows at scale?
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: over 2 years ago