With Shaped’s secure Segment connector, you can start leveraging real-time user behavior for personalized recommendations in under 5 minutes. https://lnkd.in/gwdACtRE
Shaped
Software Development
New York, New York 2,778 followers
The fastest path to relevant recommendations and search.
About us
Shaped is a fully managed search and recommendation system that simplifies deploying real-time personalization to production applications. We combine state-of-the-art model libraries with advanced features such as online evaluation tooling, a real-time feature store, and continuous training to improve engagement, conversion, and revenue while providing high performance and reliability at scale. No more hassles of complicated data engineering, benchmarking and tuning models or maintaining infrastructure. Whether you’re an expert in recommendation systems, a casual machine-learning practitioner or a novice developer, Shaped is built to be easy to use and as configurable as you need it to be, for developers and enterprises alike.
- Website
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https://shaped.ai
External link for Shaped
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- New York, New York
- Type
- Privately Held
- Founded
- 2021
- Specialties
- Auto-ML
Locations
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Primary
Get directions
New York, New York 11249, US
Employees at Shaped
Updates
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Shaped allows you to control exploration and diversity with ease 🧠
🔎 Is exploration the key to better user experiences? Researchers at Google Deepmind think so. In recommender systems, exploration refers to the process of introducing users to new or less familiar content, rather than just relying on their known preferences. This helps discover new user interests and prevents the system from repeatedly suggesting the same types of content, leading to a more diverse and engaging user experience in the long run.
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We're hiring!
Shaped is hiring! We're looking for great people in NYC to join us. Links to the job roles are in the comments. #datascience #recommendationssystem #ai #llm #design #productdesign #jobs #hiring
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Shaped connects directly to customer data platforms like Amplitude, so you can directly ingest your data without having to set up tedious logging infrastructure. https://lnkd.in/gJkqdmYw
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Setting up Shaped just got even easier 😱 Now you can easily upload your datasets and models directly to the dash. Try it here: https://lnkd.in/eaundxsr
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Good news! Shaped now supports ingesting data from Apache Iceberg tables. Read the docs here: https://lnkd.in/gAMpiYqj
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Diversity factor defines how much to trade-off relevance and attribute diversity when re-ranking results. We achieve this with a Maximal Marginal Relevance algorithm that chooses the most diverse item out of a set of maximally relevant items at each rank. https://lnkd.in/gD-EurqV
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🚨Have you got data drift? 🚨 👇 It might be due to more than just your machine learning models. But what exactly is data drift? Data drift is like a GPS that gradually becomes outdated. Imagine you're using a GPS to navigate a city, but the city is constantly changing—new roads are built, old ones are closed, and traffic patterns evolve. If your GPS doesn't update, it will give you wrong directions because it's relying on outdated information. Similarly, data drift happens when the data used to train a machine learning model changes over time. If the model isn't updated to reflect these changes, its predictions become less accurate, much like the GPS leading you astray When probability of sale scores started dropping at Stitchfix, the team scurried to dissect their models for answers, they needed to find what was broken fast. But after digging deeper, they realized the mismatch came from their marketing efforts, not their models. See our entire interview on building recommendation systems at scale with Jason Liu here: https://lnkd.in/gPDpA3TV #DataDrift #MachineLearning #AIinbusiness
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You can now directly connect your S3 buckets to a Shaped dataset, allowing you to flexibly ingest data in a variety of formats automatically. https://lnkd.in/gV_xGCqC
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📼 Video feeds like Instagram Reels and TikTok are made or broken by their ability to deliver highly personalized content in real time. For video commerce apps like sune, a livestream shopping app by QVC, personalization is just as, if not more important, as users already have an expectation of the types of content and products they'd like to see. Instead of hiring an entire team to build a recommendation system from scratch, sune partnered with Shaped to bring a highly personalized shopping experience to their 'For You' feed in less than one sprint. Read our latest case study on Sune here: https://lnkd.in/gG-QDtTx
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