Location-Based Ad Selection Using Physical Zone Data

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Solution Overview

Problem

Conventional web and mobile advertisements lack effective personalization, as they often randomly select ads for users without considering their physical location activities, which can lead to irrelevant ad displays and reduced marketing effectiveness.

Innovation Solution

A method that generates candidate advertisements associated with specific physical zones and uses micro-location data, such as geo-fencing and BLE beaconing, to select and display ads based on user behavior, like dwell times, in physical venues, thereby personalizing ad displays according to user preferences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If advertisements are randomly selected for users, then device complexity is reduced, but advertisement personalization deteriorates

Engineering Contradiction:

Improveadvertisement selection system complexityVSAvoidadvertisement personalization

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The system pre-collects and stores user location data from physical venues before advertisement selection occurs. This preliminary data collection enables personalized ad selection without adding complexity to the real-time advertisement delivery system, as the location information is already available when ad selection is needed.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces location data as an intermediary element that connects user physical behavior with advertisement selection. This intermediary layer enables personalization by translating physical venue visits into relevant ad targeting, without requiring direct complex interactions between the advertisement system and user behavior tracking infrastructure.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If user location data is collected and processed, then advertisement personalization is improved, but device complexity increases

Engineering Contradiction:

Improveadvertisement personalizationVSAvoidadvertisement selection system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system uses a universal location data collection mechanism that serves multiple purposes: tracking user behavior for personalization, determining ad relevance, and enabling targeted marketing. This multi-functional approach reduces overall system complexity by consolidating data collection infrastructure rather than creating separate systems for each function.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Ease of operation

If conventional online behavior data is used for ad selection, then ease of operation is maintained, but advertisement relevance deteriorates

Engineering Contradiction:

Improveadvertisement selection processVSAvoidadvertisement relevance

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent adds a new dimension to advertisement targeting by incorporating physical location data alongside traditional online behavior data. This dimensional expansion enriches the user profile with offline behavior patterns, enabling more relevant ad selection while maintaining the simplicity of the selection process through automated multi-source data integration.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS10176499B2Advertisement selection by use of physical location behavior

Publication Date: 2019.01.08 BEIJING ZITIAO NETWORK TECH CO LTD

AI summary

Methods, computer program products, and systems are presented. The methods include, for instance: generating a set of one or more candidate advertisement to be displayed on a device of a user. Each candidate advertisement may be respectively associated with a relevant zone in physical venues.