What is Shaped?

Shaped is a platform that helps companies increase engagement for feeds, recommendations, and notifications using machine learning. It provides solutions for various sectors including marketplaces, social media, media platforms, e-commerce, and more.

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How to use Shaped?

To use Shaped, you need to connect your data to the platform, train your ranking models, and integrate them into your application. Shaped offers easy-to-use APIs and handles the complexities of data engineering, model training, and deployment. It allows you to personalize user sessions in real-time, adapt to cold-start scenarios, and utilize all your data for ranking. Shaped is designed with developers in mind, providing customizable and configurable options for experimentation.


Shaped's Core Features

The core features of Shaped include:
1. 'For You' Pages: Create personalized pages for your users.
2. Feeds: Customize feeds to show relevant content.
3. Search: Improve search results for better user experience.
4. Recommendations: Generate personalized recommendations for users.
5. Notifications: Personalize notifications to increase engagement.
6. Chat: Enhance user interactions with personalized chat experiences.
7. Similar: Provide similar item recommendations to users.
8. Real-time AI for personalization: Adapt to user preferences in real-time.
9. Infrastructure for recommendations, search, and user modeling: Utilize Shaped's infrastructure to handle these tasks easily.

Shaped's Use Cases

Shaped can be used for various personalization use-cases, such as:
1. 'For You' Pages: Create personalized landing pages for users based on their preferences.
2. Feeds: Customize news feeds, social media feeds, or product feeds to show relevant content to each user.
3. Top picks for you: Generate personalized recommendations of top items or content for users.
4. Trending news: Show trending news articles based on user interests.
5. Frequently bought together: Offer personalized recommendations of items frequently bought together.
6. Conquer the cold-start: Adapt to new users by personalizing their experience based on limited data.
7. Enhance search results: Improve the relevance and accuracy of search results.
8. Improve recommendation accuracy: Fine-tune recommendations to increase user satisfaction.

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