METHOD AND SYSTEM FOR RANKING SEARCH CONTENT

Patent №

US 11,675,795

Granted

2023-06-13

Filed 2015

Owner

YAHOO! INC.

Lab

AI components

6

ml · nlp · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14959122

The present teaching relates to ranking search content. In one example, a plurality of documents is received to be ranked with respect to a query. Features are extracted from the query and the plurality of documents. The plurality of documents is ranked based on a ranking model and the extracted features. The ranking model is derived to remove one or more documents from the plurality of documents that are less relevant to the query and order remaining documents based on their relevance to the query. The ordered remaining documents are provided as a search result with respect to the query.

AI classification

Natural language1.00
Machine learning1.00
Planning1.00
Knowledge representation0.98
AI hardware0.96
Evolutionary computation0.71
Vision0.09
Speech0.00

Ownership

YAHOO! INC.

assignment · 372090761

Assignors

YIN, DAWEI, WANG, PENGYUAN, OUYANG, HUA, CHANG, YI, LANGLOIS, JEAN-MARC

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

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