Microsoft Technology Licensing, LLC

Lars Hagen

Michael James Taylor

Torbjorn Helvik

Oystein Fledsberg

Geir Inge Kristengård

Olaf Rene Birkeland

Indices or data structures used by an enterprise search system are stored across heterogenous storage devices. One or more characteristics associated with a data structure and one or more characteristics associated with a search query operator supported by the data structure are considered when determining which storage device should store each data structure.

Index storage across heterogenous storage devices

Users are most likely to search for documents 'around' them, such as documents which are created, read, or modified by other users they work closely or collaborate with, documents on sites the user frequents, and/or documents trending around them, in addition to documents they've created or interacted with themselves. Therefore, embodiments are directed to relevance ranking of query results based on external context. A search service may receive a query and an external context list, determine a relevance value for each entry in the external context list, and perform the query, where a search index comprising items may be returned in response to performance of the query. The search service may then match entries in the external context list against associated properties of the items, compute a score for the items based on the matching, and rank results of the query based on the score computed for the items.

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Oslo, Norway

Lars Hagen