SYSTEM AND METHOD FOR DETERMINING WEB PAGE QUALITY USING COLLECTIVE INFERENCE BASED ON LOCAL AND GLOBAL INFORMATION

Patent №

US 7,809,705

Granted

2010-10-05

Filed 2007

Owner

YAHOO! INC.

Lab

AI components

6

ml · vision · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11706025

An improved system and method is provided for determining web page quality using collective inference based on local and global web page information. A classification engine may be provided for classifying a web page using local features of a seed set of web pages and global web graph information about the seed set of web pages. A dual algorithm based on graph regularization formulated as a well-formed optimization solution may be used in an embodiment for applying collective inference for binary classification of the web page using the local web page information and global web graph information of a web page, the local web page information and global web graph information of an authoritative set of web pages, and the local web page information and global web graph information of a non-authoritative set of web pages.

AI classification

Machine learning1.00
Planning1.00
Knowledge representation1.00
AI hardware0.93
Vision0.90
Evolutionary computation0.59
Natural language0.25
Speech0.00

Ownership

YAHOO! INC.

assignment · 189970144

Assignors

DOM, BYRON EDWARD, POPESCUL, ALEXANDRIN, ZHANG, TONG

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

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