Primal is a semantic engine

Vertical and Enterprise Search

A more personalized search drives increased customer transactions and improved content productivity.

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The Problem

Companies and organizations that deliver content online, including publishers and customer support organizations, are struggling to deliver the right information to the right people at the right time.

Consumers communicate their interests using sparse keywords. Rarely is there a literal match between their requests and the content; each side speaks in different terms. Consequently, it’s often difficult for consumers to find the information they need even when relevant content exists.

Search solutions that are focused on content lack the ability to fully address the unique interests and perspective of each user. Technologies that make the content more descriptive do little to address the broad interests of consumers. Consequently, many searches return sparse or low quality results.

Primal’s Solution: Information Discovery

Primal’s personalized search and discovery solution surfaces the interests of individual consumers and connects them with the best available content, even in environments with a limited number of documents and a very broad set of user interests.

Primal’s solution makes existing search engines (like Microsoft’s FAST, Google Search Appliance, and Lucene) more personalized by expanding, in real-time, each individual query into a much more expressive, machine-readable representation of that consumer’s interests. Primal can incorporate many discrete content sources into a single search experience, including content from the open Web.

With a better understanding of their interests, Primal then interfaces with existing search engines to retrieve the most relevant content. This integration with existing search and content management infrastructure makes the integration painless and highly resilient to changes in underlying content.

Primal’s discovery solution helps create a smarter and more personalized search experience by expanding consumers’ requests to include related interests. These interests go beyond the literal keywords to represent the meaning behind the requests.

These interests are also used to create unique navigation paths for each individual user on-the-fly. These can be used to provide supplemental navigation and topic discovery to users. This dynamic navigation system can be guided through existing taxonomy and controlled vocabulary assets.

By making their requests more expressive and the search response more descriptive, Primal reduces the distance between consumers and content, creating a more productive online experience.