The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 02, 2016
Filed:
Dec. 15, 2010
Girish Kumar, Kirkland, WA (US);
Sanaz Ahari, Bellevue, WA (US);
Farid Hosseini, Redmond, WA (US);
Nazan Khan, Bellevue, WA (US);
Ahmad Abdulkader, San Jose, CA (US);
Ankur Gupta, Redmond, WA (US);
Giridhar Kumaran, Issaquah, WA (US);
Vijay Nair, Redmond, WA (US);
Girish Kumar, Kirkland, WA (US);
Sanaz Ahari, Bellevue, WA (US);
Farid Hosseini, Redmond, WA (US);
Nazan Khan, Bellevue, WA (US);
Ahmad Abdulkader, San Jose, CA (US);
Ankur Gupta, Redmond, WA (US);
Giridhar Kumaran, Issaquah, WA (US);
Vijay Nair, Redmond, WA (US);
Other;
Abstract
Computer-readable media, computer systems, and computing methods are provided for classifying search results as either of good quality or of poor quality. Initially, a portion of the search results, such as the highest ranked documents, are selected for evaluation. A level of quality for each of the selected search results is determined using a classification process that includes the following steps: targeting features demonstrated by the selected search results to be evaluated; evaluating the selected features to generate a level-of-quality score for each of the selected search results; comparing the score against a predefined threshold value; and, based on the comparison, assigning each of the selected search results an absolute measurement. The absolute measurement indicates poor quality when the score is less than the threshold value. Upon recognizing that the selected search results are of poor quality, automatically executing a corrective action that reformulates the issued search query.