Query Information Storage for Targeted Ad Selection

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Solution Overview

Problem

In online advertising, targeting advertisements to users is challenging due to limited information about user interests, leading to irrelevant ad placement, as opposed to traditional print media where market investigations can determine reader interests effectively.

Innovation Solution

A system that stores and utilizes query information from user searches to select and display relevant advertisements by matching user interests, using a search provider and advertisement server to provide targeted content based on previous search queries, even when users navigate to different pages within a website.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If advertisement targeting is based on general knowledge about readers, then advertising can be displayed without requiring detailed user information, but the targeting accuracy is insufficient and advertisements may not reach the intended audience

Engineering Contradiction:
Improveadvertising targeting accuracyVSAvoiduser information availability
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The system performs preliminary actions by storing query information from user searches before advertising needs to be targeted. This pre-collected data is then retrieved and used to match advertisements with user interests, resolving the contradiction by having information ready in advance without requiring real-time user data collection

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system creates copies of query information from user searches and stores them for later use. These copied data representations allow the system to target advertisements accurately without needing access to the original user information or real-time user data

Inventive Principle:
Principle #26Copying

2Reliability

If market investigations are performed to determine reader interests, then advertising targeting accuracy is improved, but the complexity and resources required increase

Engineering Contradiction:
Improveadvertising targeting accuracyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system enables self-service by automatically collecting, storing, and utilizing query information from user searches without requiring external market investigations. The user's own search queries serve as the data source, eliminating the need for complex separate research systems

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The query information storage system serves multiple functions: it records user interests, enables advertisement targeting, and supports content matching. This multi-functionality replaces the need for separate market investigation systems, reducing overall system complexity while maintaining targeting accuracy

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If query information is stored and utilized for advertisement selection, then advertisement relevance to user interests is improved, but the amount of data processing and storage requirements increase

Engineering Contradiction:
Improveadvertisement relevanceVSAvoiddata storage requirements
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The system extracts only the necessary query information from user searches that is relevant for advertisement targeting. By taking out only the essential data elements needed for matching advertisements with user interests, the system maintains high relevance while minimizing data storage requirements

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentEP2255301B1Providing content using stored query information
Publication Date: 2018.08.29 GOOGLE LLC
  • EP2255301B1 patent drawingFigure 1
  • EP2255301B1 patent drawingFigure 2
  • EP2255301B1 patent drawingFigure 3~4

AI summary

Among other disclosed subject matter, a computer-implemented method relating to providing content on a page includes receiving information for providing content for an access device in response to a navigation from a first page to a second page. The content is to be included in the second page. The method includes accessing query information stored on the access device, the query information based on a first query that was submitted from the access device to a search provider before navigating to the first page. The method includes providing the content for inclusion in the second page, the content selected using at least the received information and the accessed query information. A computer-implemented method can include recording search query information for a user; retrieving the search query information; and using the search query information to determine content for display to the user.