Taste
Letterboxd
IMDb
MovieLens
TasteDive
And Chill
Criticker
Simkl
PackageX Receive
DelivApp
Envoy Deliveries
AfterShip
PAQATO
Threadbeast
Notifii
Orderwerks
Our package management software uses machine vision and AI to automate your mailroom and front desk operations. PackageX Receive is easy to use, highly scalable, and works across industries, including:
Simply snap a photo of any package or delivery label (even handwritten! ✍️), and our package management software will: 🌟 Automatically extract all relevant information, 🌟 Match deliveries to the correct recipients, 🌟 Manage notifications, 🌟 Send alerts and reminders to all recipients, 🌟 Collect proof of pickups, and 🌟 Keep track of every item that enters and leaves your mailroom
👉 Trusted by smart teams at WeWork, DelVal, and more in 210+ cities worldwide 👉 100% powered by the cloud. No specialized hardware needed! 👉 Scan packages and notify recipients with the click of a single button 👉 Painless inbound and outbound package tracking 👉 Quick and powerful search: search by carrier, retailer, sender, sender address, or recipient 👉 Users can assign a designated pickup person to collect all of their business's packages 👉 Real-time data and insightful analytics for smarter mailroom operation management 👉 Custom branding features to personalize email communication 👉 Access to our "Virtual Mailroom" features. Convenient call to action buttons within your notification emails.
PackageX ReceiveBased 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: about 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: over 2 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: over 2 years ago
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
DelivApp - Software for managing online ordering, delivery and loyalty for multi-unit restaurants
IMDb - Internet Movie Database
Envoy Deliveries - Manage office deliveries simply by snapping a photo.
MovieLens - MovieLens helps you find non-commercial, personalized movie recommendations.
AfterShip - AfterShip is the shipment tracking API for ecommerce businesses and marketplaces.