Modifying Search Result Ranking Based on a Temporal Element of User Feedback

Patent №

US 9,092,510

Granted

2015-07-28

Filed 2007

Owner

GOOGLE INC.

AI components

5

ml · nlp · kr · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11742447

In general, the subject matter described in this specification can be embodied in a method that includes: obtaining user feedback associated with quality of an electronic document; adjusting a measure of relevance for the electronic document based on a temporal element of the user feedback; and outputting the measure of relevance to a ranking engine for ranking of search results, including the electronic document, for a search for which the electronic document is returned. Obtaining the user feedback can include receiving user selections of documents presented by a document search service, the method can include evaluating the user selections in accordance with an implicit user feedback model to determine the measure of relevance, and adjusting the measure of relevance can include adjusting the measure of relevance in accordance with the implicit user feedback model.

AI classification

Natural language1.00
Knowledge representation1.00
Machine learning0.99
Planning0.93
Evolutionary computation0.57
AI hardware0.38
Vision0.06
Speech0.03

Ownership

GOOGLE INC.

assignment · 192390896

Assignors

STETS, ROBERT J., PASKIN, MARK ANDREW

On an employer assignment, the assignors are typically the inventors.

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