Verity updates its enterprise search engine

The latest version of an enterprise data search and classification engine gives administrators and content managers detailed statistics to fine-tune search results.

Verity K2 Enterprise 5.5 also suggests relevant documents based on a user's most recent queries instead of a static user profile, said Andrew Feit, senior vice president of marketing for Verity Inc. of Sunnyvale, Calif.

The product is designed for enterprise content management and knowledge management systems, Feit said.

Traditional Web analytics tools show only the results of searches, he said. One new K2 Enterprise feature, Advanced Query Analytics, uses 28 metrics to analyze queries over time. It also shows whether users click on the search results they receive.

The feature can help content managers identify where to make improvements, such as adding metadata or introducing synonyms, Feit said.

Another new feature, event-driven indexing, pushes updated information and new documents out to the search engine so that end users can gather the most recent data, he said.

The product's new session-based recommendation tool, similar to the recommendation services on some large e-commerce sites, suggests documents based on an end user's searches within the same online session.

Query-based summaries will extract the most relevant part of a document and present it to the searcher as a summary with query terms highlighted, Feit said. An organization can customize the K2 Enterprise database of spelling suggestions with their own names, acronyms and special phrases.

K2 Enterprise 5.5 is a separate product from Verity's basic search engine, Ultraseek, and doesn't require Ultraseek in order to run, Feit said. K2 Enterprise 5.5 searches almost 300 document types and runs on all major platforms.

Pricing starts at $50,000, with a typical implementation running $150,000 depending on features.


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