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.
Description
how to use:
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.
Core freatures:
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.
Use case:
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.
FAQ list:
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