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Taste might be a bit more popular than EzCater. We know about 4 links to it since March 2021 and only 3 links to EzCater. 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.
I used the site ezcater.com for my son's birthday last year. It basically connects you with local restaurants that will cater, in an easy to visualize format. I found it helpful! Congrats on your upcoming wedding! Source: about 1 year ago
Plenty of restaurants cater for as few as 15 people. Check out ezcater.com and filter by number of people. Source: over 1 year ago
I'd post in your local bride/wedding group and explain what's going on. Luckily you're in a major metro area so there will likely be a lot of caterers, including restaurants, and someone is bound to have availability. I found ezcater.com to be a solid resource - you can just get a list of caterers in the area and reach out one by one. Source: about 2 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
Eat Club - Mobile and web platforms for employees to order freshly-prepared lunches from selected local restaurants.
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
ZeroCater - Make food simple for your company
IMDb - Internet Movie Database
Caviar - Food Delivery Plus Fastbite Meals From Your Favorite Restaurants
And Chill - andchill is a new way of enjoying movies and videos with your friends.