Built for the future of content discovery
Bibblio's AI engine recognizes any content written in a Latin-based alphabet. Our natural language processing understands each of your content items and quickly relates them all, thanks to our super-efficient streaming indexer.
The engine's machine learning constantly figures out and improves these connections, at scale, making it the most effective content recommender of its kind.
Use Bibblio's algorithms to show results based on the content's semantics, audience behavior or personalization data. Use these discretely or as a blend to produce recommendations for different business purposes.
Our API endpoints give you unrestricted access to the Bibblio backend, so you can incorporate our algorithm stack into your existing framework.
If your budget is tight or you've limited tech resources, you can reduce bottleneck and accelerate time-to-value with Bibblio’s plug and play integrations.
Developed with content publishing in mind, Bibblio’s personalization algorithm is designed to tackle most of the issues encountered in this space: user cold-start, a fast growing number of content items, accelerated decay of content item relevance, shifts in user preferences, etc.
Applying a deep learning framework enables us to combine anonymised user and content IDs in order to generate highly meaningful connections using inputs such as history of clicked items, time, device, recency, and popularity.
Bibblio supports a fully customizable data schema for users, allowing you to pass us your most valuable user data to personalize the recommendations even further.
It's easy to get going with Bibblio. Copy and paste a code snippet onto your site, or opt for the freedom of full API access. There's even a WordPress plugin approved by WPEngine, getting you live in a couple of clicks.
Whichever method is best for you, our Support Center is open to quickly get you going. Our technical support team is also on hand to assist.
<link rel="stylesheet" type="text/css" href="https://cdn.bibblio.org/rcm/4.7/bib-related-content.min.css">
<script id="bib--rcm-src" src="https://cdn.bibblio.org/rcm/4.7/bib-related-content.min.js" data-auto-ingestion="true" data-recommendation-key="INSERT_YOUR_KEY_HERE"/>
data-style-classes="bib--row-3 bib--hover bib--recency-show">
WordPress developers can run recommendations across posts in a few clicks. Your posts are indexed automatically, leaving you to just choose a module layout. Too easy.