SYSTEMS AND METHODS FOR PREDICTING TRAFFIC ON INTERNET SITES

Patent №

US 6,801,945

Granted

2004-10-05

Filed 2001

Owner

YAHOOL INC.

+1 more

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09773471

Systems and methods are provided for predicting visitor traffic to a network of web site pages. The systems and methods are used, as an example, to predict the inventory of total available online advertisements available within the network for a forthcoming period. The visitor traffic includes page viewing, listening or transacting on web pages within a web site, wherein the web pages are categorized by subject, interest areas or specific user queries such as word or phrase searches. For each page whose traffic is being predicted, the system takes into account annual seasonality, day-of-week, holidays, special events, short histories, user demographics, user web behavior (viewing, listening and transacting) and parent and child web page characteristics.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06Q 30/02G06Q 10/04G06Q 10/06315G06Q 30/0202G06Q 30/0207G06Q 30/0256G06Q 30/0277G06Q 30/04

AI classification

Natural language1.00
Knowledge representation1.00
Planning1.00
Machine learning0.99
AI hardware0.98
Vision0.00
Evolutionary computation0.00
Speech0.00

Ownership

YAHOOL INC.

assignment · 117750326

YAHOO!, INC

correct · 126390122

Assignors

LIN, LONG-JI LIN, JUNG, DZ-MOU

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

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