Intellogo is an AI-driven content-discovery and recommendation system that helps publishers and retailers connect readers with the stories they’ll love. Using advanced machine-learning algorithms, Intellogo analyzes and understands vast volumes of text to deliver highly personalized content recommendations.

The system’s recommendation engine applies supervised statistical machine-learning methods for content-based search, recommendation, and categorization. By parsing a book’s or article’s content, it builds internal statistical models to assess compatibility and similarity between works. Intellogo can also categorize previously unseen content to determine attributes such as genre, tone, or authorial style (for example, in the voice of Ernest Hemingway). A publisher searching for “classic” science-fiction titles can instantly surface compatible, untagged manuscripts.

Astea has been Intellogo’s sole technology partner from inception — leading exploratory analysis, proof-of-concept, and the design and implementation of the full distributed recommendation system, along with business-analysis and QA support.