Smart content discovery for online book retailers, traditional publishers, and self-published authors

An AI-driven content discovery and recommendation system. The Intellogo platform leverages advanced machine learning algorithms to analyze and understand large volumes of text, enabling highly personalized content recommendations.

The Intellogo recommendation engine appliеs supervised statistical machine learning methods for content-based search, recommendation, and categorization. Intellogo’s recommendation engine parses a book’s or article’s content and applies an internal statistical model in order to compare pairs of content for similarity or compatibility.

Intellogo is able to categorize new, previously unseen content in order to determine attributes such as genre and author style (e.g., “in the voice of Ernest Hemingway”). For example, one or more editors at a publisher or book distributor might be searching for “classic” science fiction literature to bring to market. Intellogo would allow for the search of compatible as-of-yet untagged content.

Astea Solutions was Intellogo’s sole technology partner since Intellogo’s inception – from the initial exploratory analysis and proof-of-concept to designing and implementing the full distributed content recommendation system. Astea Solutions also provided business analysis and QA services.