BUILDING USER PROFILES BY RELEVANCE FEEDBACK

Patent №

US 10,698,967

Granted

2020-06-30

Filed 2017

Owner

YAHOO HOLDINGS, INC.

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15831189

A method is provided, including: detecting interactions by a plurality of users with a plurality of content items, each content item having an associated content item vector; for a given user, identifying interactions occurring during a current time period, including identifying positive interactions with a first set of the content items, and negative interactions with a second set of the content items; processing a first set of the content item vectors that are associated with the first set of the content items to determine a positive interaction vector; processing a second set of the content item vectors that are associated to the second set of the content items to determine a negative interaction vector; for the given user, generating a current user profile vector for the current time period, using the positive interaction vector, the negative interaction vector, and a prior user profile vector for a prior time period.

AI classification

Natural language1.00
Knowledge representation1.00
AI hardware0.98
Vision0.98
Machine learning0.97
Planning0.83
Evolutionary computation0.22
Speech0.00

Ownership

YAHOO HOLDINGS, INC.

assignment · 443210415

Assignors

SHEN, RAO, SONI, AKSHAY, CHEVALIER, TROY, WU, XUE, YANG, PIERCE

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

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