RANKING SEARCH RESULT DOCUMENTS BASED ON USER ATTRIBUTES

Patent №

US 9,436,742

Granted

2016-09-06

Filed 2014

Owner

GOOGLE INC.

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14213984

Methods and apparatus for ranking search result documents for a query of a user based on one or more attributes of the user that are associated with one or more of the search result documents. User attributes of the user's user profile may be matched to user attributes of a search result document and the search result document ranked based at least in part on bias measures associated with the matched user attributes. Some implementations are directed to determining, for each of a plurality of documents, multiple user attributes and associated bias measures to associate with the document. A user attribute and associated bias measure for the document may be determined based on indicated interactions with the document by a set of users associated with the user attribute.

AI classification

Natural language1.00
Planning1.00
Knowledge representation0.99
Machine learning0.99
AI hardware0.83
Evolutionary computation0.22
Vision0.00
Speech0.00

Ownership

GOOGLE INC.

assignment · 324510401

Assignors

HAMMAD, MOUSTAFA, SIVAKUMAR, DANDAPANI, TIWARI, PRANAV KUMAR, SANGHAI, SUMIT KUMAR, DAVE, SHACHI, MAHALINGAM, SELVAM, RAGHUWANSHI, DEEPAK

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

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