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
Ownership
YAHOO! INC.
assignment · 189970144
Assignors
DOM, BYRON EDWARD, POPESCUL, ALEXANDRIN, ZHANG, TONG
On an employer assignment, the assignors are typically the inventors.