RELEVANCY-BASED DOMAIN CLASSIFICATION

Patent №

US 8,069,182

Granted

2011-11-29

Filed 2007

Owner

CAPTIVE TRAFFIC, LLC

+2 more

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11739611

A domain classifier develops and maintains relevance data about specific domains based on historical relevance data and source context data. Such data may be used to classify the user's interest in attempting to visit a specific domain and thereby redirect the user to a website expected to be aligned with the user's interest. In various implementations, the historical relevance data is derived from source context data and/or post-visit user behavior collected from previous attempts to visit a specific domain. The source context data collected from the current visit may also be used as source context-factors to influence domain classification. Based on such historical and current source context factors, as well as the domain address provided in the user's navigation request, a domain classifier consults the historical relevance data and provides the user with Web content that is identified as likely to be relevant to the user's interests.

AI classification

Natural language1.00
Planning1.00
Machine learning1.00
Knowledge representation1.00
AI hardware0.94
Vision0.23
Evolutionary computation0.00
Speech0.00

Ownership

CAPTIVE TRAFFIC, LLC

assignment · 198760232

PIEPER, KEITH

assignment · 260750714

WORKING RESEARCH, INC.

assignment · 260750821

Assignors

PIEPER, KEITH MERLE

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

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