Ashok K Ponnuswami

20120143794, Jun 7, 2012

Dec 3, 2010

12/959402

Tapas Kanungo - Redmond WA, US
Kuansan Wang - Bellevue WA, US
Ran Gilad-Bachrach - Bellevue WA, US
Kieran McDonald - Seattle WA, US
Kumaresh Pattabiraman - Redmond WA, US
Christopher Meyers - Kirkland WA, US
Ashok Ponnuswami - Redmond WA, US
Luke Simon - Redmond WA, US

Microsoft Corporation - Redmond WA

G06F 15/18

706 12

This patent application pertains to answer model comparison. One implementation can determine a first frequency at which an individual answer category appears in an individual slot on a query results page when utilizing a first model. The method can ascertain a second frequency at which the individual answer category appears in the individual slot on the query results page when utilizing a second model. The method can calibrate the second model so that the second frequency approaches the first frequency.

20140067816, Mar 6, 2014

Aug 29, 2012

13/597596

Tapas Kanungo - Redmond WA, US
Ashok Ponnuswami - Kirkland WA, US

MICROSOFT CORPORATION - Redmond WA

G06F 17/30

707740, 707769, 707737, 707E17014, 707E17089

In an effort to enhance computer user engagement with a search results page, systems and methods are presented which are configured to identify an entity as being the subject matter of a user's search query. If the entity is a known entity, i.e., entity information is stored in an entity store for the identified entity, a subset of entity attributes are identified and a representative entity attribute question is obtained for each of the attributes in the subset of entity attributes. The representative entity attribute questions are identified according to the probability that they are formed linguistically correct. The representative entity attribute questions are included in a search results page that is generated in response to the user's search query.

20140372441, Dec 18, 2014

Jun 18, 2013

13/920291

- Redmond WA, US
ASHOK PONNUSWAMI - Kirkland WA, US
RICHARD JUNGIANG QIAN - Redmond WA, US

G06F 17/30

707737

Systems, methods, and computer-readable storage media are provided for conflating entities using a persistent entity index. Information (including attributes) pertaining to a plurality of entities is received. The received information is either matched with one or more existing entities in the persistent entity index or, if no match is found, selected for addition to the persistent entity index. The persistent entity index includes entity-attribute pairs associated therewith. Attributes associated with matching entities for which information is received are aggregated and/or reconciled with the entity-attribute pairs associated with existing entities included in the persistent entity index. The persistent entity index may be incrementally updated at predetermined time intervals to insure the accuracy and freshness of the information associated therewith.