Jonathan Joseph Hart

US Patent:

20080313165, Dec 18, 2008

Filed:

Jun 15, 2007

Appl. No.:

11/763539

Inventors:

Kai Wu - Beijing, CN
Daniel Takacs - Redmond WA, US
Tong Yao - Beijing, CN
Jiyu Zhang - Beijing, CN
Hua Yang - Beijing, CN
Ji-Rong Wen - Beijing, CN
Jonathan R.M. Hart - Kirkland WA, US
Eric Anthony Reel - Seattle WA, US

Assignee:

MICROSOFT CORPORATION - Redmond WA

International Classification:

G06F 7/06
G06F 17/30

US Classification:

707 5, 707E17014

Abstract:

Aspects of the subject matter described herein relate to matching product information to products. In aspects, a product matching component receives product information. The product matching component normalizes the product information and obtains keywords from the product information. By querying a database of recognized products, the keywords are used to obtain a list of products that potentially match the product information. A confidence level is assigned to each of the potential matches in the list. A match may be returned for the highest matched product or for a selectable number of products whose confidence level(s) exceed a selectable threshold.

US Patent:

20110251973, Oct 13, 2011

Filed:

Apr 8, 2010

Appl. No.:

12/756994

Inventors:

Yanqing Chen - Bellevue WA, US
Jason S. Wodicka - Seattle WA, US
Jonathan R. Hart - Kirkland WA, US

Assignee:

MICROSOFT CORPORATION - Redmond WA

International Classification:

G06Q 99/00

US Classification:

705347

Abstract:

Reviews of products may be analyzed, and statements about the products may be made based on the analysis. Non-professional reviews (e.g., reviews of products written by ordinary consumers of those products) are often difficult to interpret, because different reviewers may apply different standards. When a large number of reviews are available, the reviews can be analyzed statistically to make comparative statements about the products or services reviewed. Sentiments expressed in the reviews may be assigned numerical values. These numerical values for specific products, or classes of products, may be analyzed statistically to determine how the sentiments about a specific product compare with the sentiments about a larger class of products. Using this analysis, a statement can be made, such as, “This television has very good picture quality compared with other televisions of the same price.”