Microsoft Technology Licensing, LLC

Xiaoyuan Cui

Hang Li

Dmitriy Meyerzon

Ohil Krishnamurthy Manyam

Victor Poznanski

Avneesh Sud

Guangping Gao

Aidan C Crook

Xin Zou

Yunhua Hu

A system and method for enterprise search includes one or more computer-readable media storing computer-executable instructions that, when executed on one or more processors that perform acts including extracting one or more of term data, personal data and metadata from one or more predetermined resources; retrieving a set of information derived from the extracted term data, personal data and metadata responsive to a query; and receiving feedback responsive to the set of information, the feedback augmenting at least one of the one or more predetermined resources.

Enterprise search method and system

Simplified collaborative searching is provided by pattern recognition such as facial recognition, motion recognition, and the like to provide handsfree functionality. Users join a collaborative search by placing themselves within the field of view of a camera communicationally coupled to a computing device that performs facial recognition and identifies the users, thereby adding them to the collaboration. Users also join by performing simple movements with a portable computing device, such as the ubiquitous mobile phone. A collaboration component tracks the users in the collaboration and identifies them to a search engine, thereby enabling the search engine to perform a collaborative search. The collaboration component also disseminates the collaborative recommendations, either automatically or based upon explicit requests triggered by pattern recognition, including motion recognition and touch recognition. The collaboration component can utilize heuristics to identify individual collaborative sessions, or can utilize existing collaborative infrastructure.

Simplified collaborative searching through pattern recognition

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Beijing, China

Xiaoyuan Cui