METHOD AND SYSTEM FOR MULTI-PHASE RANKING FOR CONTENT PERSONALIZATION

Patent №

US 10,102,307

Granted

2018-10-16

Filed 2013

Owner

YAHOO! INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13839169

Embodiments of the present teachings disclose method, system, and programs for a multi-phase ranking system for implementation with a personalized content system. The disclosed method, system, and programs utilize a weighted AND system to compute a dot product of the user profile and a content profile in a first phase, a content quality indicator in the second phase and a rules filter in a third phase.

AI classification

Natural language1.00
Knowledge representation1.00
Machine learning1.00
Planning1.00
AI hardware0.61
Evolutionary computation0.22
Speech0.00
Vision0.00

Ownership

YAHOO! INC.

assignment · 317020449

Assignors

HAN, YIPING, LANGLOIS, JEAN-MARC, LIM, JIN, GAFFNEY, SCOTT, FERNANDEZ-RUIZ, BRUNO M.

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

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