nXnfindTM
- Search: Querying unstructured text and structured databases
- Scoring: Patented method of evaluating every object to determine its overall fit
- Bidirectional matching: Scoring every object not just based on how it fits the query, but also based on how well the querying object fits it. For example on a jobs site, a successful match only occurs when a candidate meets a job's criteria and the job meets her criteria.
- Fusion: Merging and ranking search results from multiple sources
- Query augmentation: Dynamically refining a query based on user preferences and search results
- Dynamic clustering: Determining what makes groups of documents / objects similar
- Auto - classification: Automated categorization based on example documents
- Self-learning: Leveraging past behavior to sharpen focus
- Dynamic differentiation: Determining what makes documents / objects different
- Predictive analytics: Dynamic discovery of trends in large customer data sets
Finding relevance - exactly what you're looking for - drives everything we do. No matter what you're looking for amid the sea of information out there, nXnfindTM, nXn's intelligent search and matching software, returns relevant results.
For organizations with a need to make sense out of mountains of textual and structured data, nXn Tech. LLC's intelligent search software, nXnfindTM, creates a positive business impact by identifying the most relevant information.
nXnfindTM enables our customers to provide their employees and customers with results that make sense by looking at everything as a multi-dimensional object, using our patented scoring model, and dynamically analyzing every set of results to determine what options will best aid navigation.
One of the ways nXnfindTM puts content into context is by dynamically clustering search results into groups of similar content. People can better manage information overload and more easily navigate through search results by selecting relevant clusters, or content groups.
How we're different
- Search both structured and unstructured data
- Dynamically analyze results to permit easy navigation
- Fuse results from many sources while maximizing relevancy and quality
- Leverage past behavior to sharpen the focus of each search
Our software is used in knowledge management, document search, business intelligence, human capital management, retail e-commerce, logistics, and many other enterprise applications.
"Traditional search technology has focused on giving a few expert users the tools to structure precise and complex questions with specialized query languages." - Paul R. Hagen, "Must Search Stink?" Forrester Report, Jun 2000
