Selligent Cortex Expands to Deliver AI-Powered Content Recommendations

Natural Language Processing Engine to Activate Text-Based Similarity Algorithm for Improved Relevance Across Industries

SAN JOSE, Calif. and BRUSSELS, Belgium – Feb 5, 2020 – Selligent, the intelligent omnichannel marketing and experience cloud platform, today announced the addition of a text-based algorithm as part of the Smart Content functionality within its artificial intelligence (AI)-powered engine, Selligent Cortex. Unlike most marketing cloud solutions today that offer only product-based recommendations, Selligent’s new capability leverages Natural Language Processing (NLP) to enable companies to deliver recommendations based on text. Selligent’s text-based recommendations will empower marketers to drive deeper engagement, and deliver relevant and personalized experiences for a wide-range of industries that include media, entertainment & publishing, travel & hospitality, and financial services, among others.

“Many of our clients, especially in retail and ecommerce, have seen the tremendous value of surfacing precise AI-powered product recommendations based on rich user profile data and deep customer intelligence,” said Todd McCaslin, CTO of Selligent. “With text-based recommendations, we are extending this capability to empower companies across all industries -- beyond those that sell tangible products -- to deliver relevance in every customer touchpoint.”

Selligent’s text-based similarity engine actively looks at a customer’s content consumption behavior and recommends similar content they may be interested in viewing. Leveraging AI-powered content analytics, keywords in previously viewed text are rated and compared to keywords within the company’s larger content catalog. When there is a strong enough match, the relevant content is surfaced and recommended to the consumer in near real-time, not calculated overnight like many solutions.

Unlike the traditional one-size-fits all approach to recommendations, Selligent Cortex provides a white-box approach, which enables companies to apply their own business rules and logic and have full visibility and control over the resulting recommendations. Algorithms enable companies to display recommendations based on personalization factors such as behavioral metrics (e.g. clicks, page views, etc.) or more statistical based approaches such as Popular, Trending or Top Performing content. This means that the algorithms can be deployed immediately after the feature is activated without months of data collection to train recommendations, providing a faster return on investment.

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About Selligent

Selligent is an intelligent omnichannel marketing and experience cloud platform that empowers ambitious companies to maximize every moment they engage with connected consumers. With native AI capabilities, a robust data layer, and a powerful omnichannel execution engine, Selligent enables businesses to deliver ultra-personalized and highly relevant customer experiences that speed time to value swiftly and at scale. More than 700 global brands in retail, travel, automotive, publishing, and financial services trust Selligent to help deliver their programs. With offices across the United States and Europe and a global network of partners, Selligent serves over 30 countries with local, personalized service. Learn more at or connect with the team on TwitterLinkedIn, and our blog.





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