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Since the advent of the Web, people have been flooded with a constant deluge of data ... documents, memos, files, Web sites, e-mail, databases, news feeds, and more. While new technologies have made large volumes of data available on-line, relevant information still has to be delivered to the user. Search engines based on advanced keyword matching have been the standard but deliver mixed results. MindServer Retrieval takes information retrieval to the next level by providing fast, accurate search results relevant to the user.
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Feature Overview Whether dealing with news articles, reports, presentations, or customer logs, MindServer Retrieval redefines the search experience. MindServer Retrieval provides:
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More Accurate and Relevant Search Results MindServer delivers real time results proven to be as accurate as human researchers, moving beyond inaccurate keyword and pattern-matching search systems. MindServer learns the organization’s content and extracts concepts to match a user query. It understands what users seek and guides them to the information they are looking for without needing to know exact keywords, taxonomy subjects, or vocabulary.
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Handles any Language, Format, or Source Most document collections are based on a very specific vocabulary and terminology, which are difficult to handle with linguistic search approaches. MindServer’s statistical approach to understanding text allows users to access information from across the organization, regardless of file format, language, domain, or location. Regardless of the subject or language, MindServer provide high quality retrieval “out of the box” without the need for rules, thesauri, or dictionaries.
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Search Results Grouped by Relevant Concepts MindServer groups search results in a manner that makes sense to the user. It integrates metadata (e.g. client, industry, document type, etc.) and categories familiar to a user and structures results accordingly. Result pages make sense and knowledge discovery becomes simple.
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Personalized Retrieval/ Expert Recommendations MindServer can optionally incorporate user preferences and interests into search and retrieve the most relevant results tailored to the user. MindServer can also take advantage of previous searches made by other users with whom a given individual shares common characteristics. This peer information then is used to re-rank the results and even retrieve additional results that others have found useful.
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Advanced Technology Improves Performance MindServer’s patent-pending semantic analysis technology is based on the most recent advances in statistical language processing, information retrieval and machine learning research conducted at MIT, UC Berkeley, and Brown University. In the background, MindServer analyzes the data collection and automatically extracts concepts, topics, and word contexts that reflect your data and your domain. MindServer’s engine then computes relevance scores that are used to rank results in a meaningful way. The most relevant and best matching hits are exactly where you want them to be, at the top of the list.
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Flexible, Scalable Architecture MindServer’s open Java APIs and CORBA/DCOM interfaces enable easy deployment and integration of MindServer into existing CRM, Supply Chain, Ecommerce, and Content Management applications. Recommind’s products are database agnostic, platform independent, and can scale to the 100’s of millions of documents. Recommind’s products can be run in single machine and distributed environments, better leveraging the existing infrastructure within your organization.
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