Microsoft Technology Licensing, LLC

Silviu Petru Cucerzan

Eric David Brill

Gaurav Sareen

Girish Kumar

Janine Crumb

Bhuvan Middha

Jason Douglas

In a method of forming a target error model to facilitate correcting or suggesting corrections to misspelled input text related to a target data collection, a source query log containing user queries to at least one source data collection is provided. Next, target relational data is generated based on the source query log including corrective substring suggestions that relate to the target data collection and corresponding misspelled substrings extracted from the source query log. A target error model is then built using the target relational data. The target error model includes target statistical occurrence data for the substrings of the target relational data derived from the source query log. Finally, the target error model is stored on a computer readable medium. Additional embodiments of the invention are directed to a system configured to implement the method.

Error model formation

A context based search and document retrieval application is disclosed. The application uses context data that is generated by a document analysis component based upon context information from various sources, including for example, document collections available on the world wide web. The context data is provided to a search query generator. The search query generator is configured to generate a contextually annotated search query based upon a user query and context data. Bookmarks having an associated context are generated for documents retrieved in response to the contextually annotated search query. The application then provides access to the bookmarked documents when the user is browsing other documents with similar contexts to the context of the original document for which the context based search was executed and the bookmark created. The bookmarked documents are hyperlinked to terms in the browsed document.

Context based search and document retrieval

Computerized methods and systems for generating a suggested query list with suggested search terms displayed as highlighted text utilizing a user-defined query are provided. Query search terms are received by a user-interface display. Upon inputting query search terms, the user-interface automatically generates a suggested query list. The suggested query list is associated with the query search term and the suggested query list is comprised of at least one suggested search term. A query suggestion architecture determines if the query search term and the suggested search term are a match, and if so, highlights the suggested search term that is not a match. The user interface displays the highlighted terms to assist in refining a search. The present invention further provides a stemming algorithm that extracts the root form of the query search term.

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Redmond, WA, United States of America

Silviu Petru Cucerzan