Real-time Search API
This release includes a new way to retrieve your ranked items or users based on their metadata attributes — all in real-time! This allows you to get more from your Shaped ranking models by giving you and your users more control over what items you want to be ranked.
The Search API can be used in many scenarios. For example, say you’ve created a Shaped ranking model for a movie recommendation system. You could use attributes like the genre, release-date or director to create category specific recommendation carousels.
This release gives your users more control to discover what they’re looking for. For example, imagine you’ve created a Shaped ranking model for accommodation marketplace recommendations. You could use the Search API to filter out listings based on attributes like: availability dates, guests, price, or location.
How to use the Search API
We index all categorical, numerical and binary features you provide when creating your Shaped Model. This means that if you’ve already mapped your features to use our contextual ranking models — it’ll work off-the-bat.
Below are some examples showing how you can use search with our retrieval query language. Note this works for both personalized and non-personalized requests.
1. Example: Search Predicates
2. Example: Personalized Search
For more information about what is possible with Shaped’s Search API, check out our docs here.
Real-time Session Ranking
If you’ve ever used TikTok, you’ll know how good it is at recommending personalized content that reacts to every like, comment, watch or click you make on the app. If you start interacting with cat videos within a session, TikTok is definitely going to show you more cat videos within that session. We’ve added the same technology to Shaped, allowing you to get the same reactive real-time recommendations that you see in leading social products.
As well as giving this dynamic feeling to the recommendations, session based recommendations are helpful for reaching all of your user base because they address the cold-start problem. That is, the problem of not having any user data whether they’re a new user to your platform or because your traffic is anonymous. Using Shaped’s session based ranking, you just need to provide the first few interactions that someone makes to serve relevant, highly engaging recommendations.
How to use Session Ranking
Session based ranking works with any of your Shaped models using the Rank API. Simply pass in the user’s previous interactions when calling rank and we’ll return the best rankings for that user and session journey.
For more information about using session ranking, check out our docs here.
Similar Items & Users
These two new endpoints allow you to retrieve similar items and users from a Shaped ranking model. You will often see something like a similar items recommendation on the side or bottom of a product or content detail page.
1. Similar Items
To retrieve similar items, provide an item_id from your connected data store.
2. Similar Users
To retrieve similar users, provide a user_id from your connected data store.
For more information about Shaped’s similar endpoints, check out our docs here.
The Future
Fundamentally, Shaped helps businesses build better understandings of their users, content and products. To do this, we’ve done all the machine-learning and data engineering work necessary to pull your data, organize it and analyze it. This understanding - so far - has helped our customers build better, personalized recommendation and ranking experiences into their products and they’re/we’re pretty happy with how it’s all going. However, we believe there’s a lot more value we can provide by making this understanding more accessible with new endpoints. This release is the start of several new understanding endpoints we’ll be adding in the next few months!
