TREND BASED DISTRIBUTION PARAMETER SUGGESTION

Patent №

US 9,449,052

Granted

2016-09-20

Filed 2014

Owner

GOOGLE INC.

AI components

4

ml · nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14159671

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content are disclosed. In one aspect, a method includes accessing data specifying a plurality of search queries. Content distribution campaigns (“campaigns”) in which distribution of at least one content item is conditioned on a distribution parameter matching one of the search queries are identified. Two or more similar campaigns are identified, and a search query that matches a distribution parameter in at least one of the similar campaigns is identified as a candidate content distribution parameter. A trend score for the candidate content distribution parameter is determined based on a change in a submission rate of search queries that match the candidate distribution parameter. Suggestion data suggesting the candidate content distribution parameter as an additional content distribution parameter for at least one of the similar campaigns is provided based on the trend score.

Machine learningNatural languageKnowledge representationPlanningG06F 16/245G06F 16/24578G06F 16/9535G06Q 30/0244G06Q 30/0256

AI classification

Planning1.00
Natural language1.00
Machine learning0.99
Knowledge representation0.96
Evolutionary computation0.36
AI hardware0.08
Vision0.00
Speech0.00

Ownership

GOOGLE INC.

assignment · 320360738

Assignors

RIVARD, MATTHEW, MORRIS, ERIC, RIVARD, MATTHEW, MORRIS, ERIC

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

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