Today we’re excited to announce the release of several APIs and features that help you get the most from your Shaped ranking and recommendation models.
OpenAI just released a new large language model fine-tuned for conversational AI based on gpt-3.5. We tried it out at https://chat.openai.com/chat and asked to write a blog post about itself, the results are amazing!
If you’ve ever browsed TikTok’s For You Page, Facebook Newsfeed, Instagram Reels, Youtube Shorts, or any “infinite” scrolling social feed you have been served personalized recommendations. These feeds use algorithms to find out what content will keep you browsing the feed. I’ve seen many people complain about how their personalized feeds get worse over time, recommending the same topic over and over, old content, or even things you already consumed.
What if I told you that your web browsing is being modeled as a language in most of the web pages you visit? Let me show you why and how.
The last day at RecSys 2022 started with a session on Sessions and Interaction, moved on to Models and Learning to finish with Large-Scale Recommendations. Here are our favorite 5 papers and talks of the day.
It’s been another fantastic day at RecSys 2022. Following the Women in RecSys Breakfast, the day started with a keynote from Catherine D’Ignazio and then throughout the day had the following sessions: Fairness & Privacy, Diversity & Novely, and Models and Learning I. Here are our favorite 5 papers and talks.
We just wrapped up a fantastic first day at Recsys2022 in Seattle. If you see the Shaped team come say hi. Here are our favorite 5 papers and talks of the day.
The field of artificial intelligence is growing at an extraordinary speed. Check out some selected topics that we think AI will affect and be a big factor in the upcoming years.
Introducing Shaped's "Model API". A configuration API to Shaped's multi-stage recommendation system.
Not sure about the differences between information retrieval systems and recommender systems? Don't worry, we got you covered.
This year’s recommender systems summit included a great set of speakers, each one sharing unique learnings on working with recommender systems.
Data quality and volume is what makes rankings algorithms at big-tech so seamless. How can you create the same experiences with the data you have? Data-centric AI may be the answer!