Microsoft Technology Licensing, LLC

Mircea Neagovici-Negoescu

Dmitriy Meyerzon

Kyle G Peltonen

David J Lee

Roberta Cannerozzi

Kjetil Krogvig Bergstrand

Vladimir V Gvozdev

Niels Petter Rasch-Olsen

Kathrine Hammervold

Anund Lie

Liang Zheng

Michal Gideoni

Menton J Frable

Lars Kirkholt Melhus

Jørgen Løland

Documents in a local computing system are parsed for indexing and sent to a cloud-based computing system. The cloud-based search service indexes documents that are parsed on the local computing system, as well as documents that reside in the cloud-based computing system. When a user launches a search, the search is executed against a single search index in the cloud-based computing system, which includes an index of content sources from both the local computing system and the cloud-based computing system.

Hybrid search connector

An alert search mechanism is used with search engines such as a crawler to search for desired documents and/or resources. Particular documents are found by using search queries. The search mechanism track values of a set of relevant properties in queries. Whenever a document is searched for by the system, the values of these set of properties are matched with the old value. If there is no match, this is an indication that the document has changed.

Significant change search alerts

A process takes advantage of a structure of a server hosting a network site that includes a change log stored in a database to batch index documents for search queries. The content of the site is batched and shipped in bulk from the server to an indexer. The change log keeps track of the changes to the content of the site. The indexer incrementally requests updates to the index using the change log and batches the changes so that the bandwidth usage and processor overhead costs are reduced.

System and method for batched indexing of network documents

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Bellevue, WA, United States of America

Mircea Neagovici-Negoescu