Michael P Bieniosek

8332426, Dec 11, 2012

Nov 23, 2010

12/953166

David Ahn - San Francisco CA, US
Michael Paul Bieniosek - Woodinville WA, US
Andrei Peter Makhanov - San Jose CA, US
Franco Salvetti - San Francisco CA, US
Giovanni Lorenzo Thione - San Francisco CA, US
Gianluca Donato - Sunnyvale CA, US

Microsoft Corporation - Redmond WA

G06F 7/00
G06F 17/30

707771, 707748

Referring expressions are identified for concepts by analyzing search query and result selection information. An ontology of concepts is identified, and at least one document is associated with each concept. The document associated with a concept is representative of the concept. Search query information from a search engine is analyzed to identify search queries that resulted in user selections of documents associated with the concepts. Referring expressions that refer to the concepts are identified based on the search queries that resulted in user selections of documents corresponding with the concepts. After identifying referring expressions for concepts, search queries may be mapped to referring expressions to identify concepts to which the search queries pertain, and search result pages may be generated based on knowledge of the concepts.

8364672, Jan 29, 2013

Nov 23, 2010

12/953139

David Ahn - San Francisco CA, US
Michael Paul Bieniosek - Woodinville WA, US
Andrei Peter Makhanov - San Jose CA, US
Franco Salvetti - San Francisco CA, US
Giovanni Lorenzo Thione - San Francisco CA, US

Microsoft Corporation - Redmond WA

G06F 7/00
G06F 17/30

707728, 707706

Concept disambiguation is provided for search queries by analyzing search results in conjunction with an ontology of concepts. An ontology of concepts is identified, and at least one document is associated with each concept. The document associated with a concept is representative of the concept and used to generate a concept signature. When a search query is received, it is processed to obtain search results. The search results are used to generate a search results signature, which is compared to the concept signatures to identify one or more concepts that are relevant to the search query.

20110173193, Jul 14, 2011

Jan 12, 2010

12/686128

DAVID DONGJAH AHN - SAN FRANCISCO CA, US
MICHAEL PAUL BIENIOSEK - SAN MATEO CA, US
IAN ROBERT COLLINS - SAN FRANCISCO CA, US
FRANCO SALVETTI - SAN FRANCISCO CA, US
TOBY TAKEO STERRETT - SAN FRANCISCO CA, US
GIOVANNI LORENZO THIONE - SAN FRANCISCO CA, US
GRIGOR SHIRAKYAN - KIRKLAND WA, US
HAMED ESFAHANI - KIRKLAND WA, US

MICROSOFT CORPORATION - REDMOND WA

G06F 17/30
G06F 3/048

707725, 707765, 715781, 707E17015, 707E17018

Computer-readable media and a computing device are described for providing geotemporal search and a search interface therefor. A search interface having a location portion and a timeline portion is provided. A geographic area is selected in the location portion by adjusting the visible area of a map. A temporal window is selected in the timeline portion by adjusting sliders along a timeline to a desired start and end time. The start and end times can be in the past, present, or future. A geotemporal search is executed based on the selected geographic area and temporal window to identify search results having associated metadata indicating a relationship to the selected geographic area and temporal window. One or more search terms are optionally provided to further refine the geotemporal search.

20110173210, Jul 14, 2011

Jan 8, 2010

12/684433

DAVID DONGJAH AHN - SAN FRANCISCO CA, US
MICHAEL PAUL BIENIOSEK - SAN MATEO CA, US
FRANCO SALVETTI - SAN FRANCISCO CA, US
GIOVANNI LORENZO THIONE - SAN FRANCISCO CA, US
IAN ROBERT COLLINS - SAN FRANCISCO CA, US
TOBY TAKEO STERRETT - SAN FRANCISCO CA, US

MICROSOFT CORPORATION - REDMOND WA

G06F 17/30

707748, 707755, 707756, 707E17008, 707E17018

The present technology is related to identifying, from within a corpus of documents, a subject (e.g., person, location, date, etc.) that is relevant to a topic and that is usable to enhance a topic-describing document. Documents within the corpus of documents share a link structure, such that some documents include hyperlinks that enable navigation to the topic-describing document, and the topic-describing document includes hyperlinks that enable navigation to other documents. Text of documents within the corpus is parsed to identify the subject, and a context of the subject suggests a degree of relevance of the subject to the topic. An enhancement type of the subject is determined, and a version of the topic-describing document is enhanced to include a presentation of the subject.

20110314018, Dec 22, 2011

Jun 22, 2010

12/820349

Michael Bieniosek - Woodinville WA, US
Franco Salvetti - San Francisco CA, US
Giovanni Lorenzo Thione - San Francisco CA, US

Microsoft Corporation - Redmond WA

G06F 17/30

707737, 707781, 707E17009, 707E17014, 707E17046

Summaries of entities (e.g., people, places, things, concepts, etc.) may provide additional useful information to user. For example, a search engine may provide a summary of an entity within search results. A category (e.g., “writer”, “politician”, etc.) of the entity that is short and concise may be advantageous to provide within a summary of the entity. The category may allow a user to quickly determine whether the information of the entity relates to the intended entity (e.g., search results of an entity as “a writer” vs. search results of an entity as “a politician”). Potential categories and summary text may be extracted from pre-labeled data. The potential categories and summary text may be intersected to determine a set of candidate categories that may be ranked. An entity category having a desired ranked may be determined as the entity category that describes the entity in a desired way.

20120150861, Jun 14, 2012

Dec 10, 2010

12/965326

GIOVANNI THIONE - SAN FRANCISCO CA, US
FRANCO SALVETTI - SAN FRANCISCO CA, US
MICHAEL BIENIOSEK - WOODINVILLE WA, US
DAVID AHN - SAN FRANCISCO CA, US
RICCARDO TURCHETTO - SAN FRANCISCO CA, US
MAX LANSING - SAN FRANCISCO CA, US
ALOK KUMAR AGARWAL - SAN FRANCISCO CA, US

MICROSOFT CORPORATION - REDMOND WA

G06F 17/30

707741, 707E17037

Answers to search queries are identified and highlighted in search result snippets for documents containing the answers. When a user submits a search query to a search engine, the search engine may query a search index to identify a set of documents as relevant search results for the search query. Additionally, an answer data store may be queried to determine if there is a short answer to the search query. If an answer is found, the answer may be used when generating search result snippets. As such, the search result snippets for documents containing the answer may include the answer. The answer may also be highlighted in the search result snippets.