Shoppable Ad Overlay with Relevance Ranking

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Solution Overview

Problem

Current image search technologies fail to provide users with interactive and informative shoppable advertisements, lacking direct interaction capabilities and additional product information such as price, store details, and purchasing options within the advertisement itself.

Innovation Solution

A computer-implemented method that receives a search query, retrieves images of purchasable products, calculates relevance scores, ranks products, and displays shoppable advertisements on a user device, including offer bubbles with product details, user reviews, and interactive indicators, allowing users to easily access purchasing information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If traditional image search is used to find products, then users can obtain image results, but users cannot directly interact with product advertisements or access purchasing information

Engineering Contradiction:
Improveproduct purchase interactionVSAvoidproduct information
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The patent merges the image search results with shoppable advertisement elements directly overlaying the image. Product information, pricing, and purchase options are combined into interactive indicators that users can click on the image itself, eliminating the need to separate search results from purchasing capabilities.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces interactive indicators as intermediaries between the user and product information. These indicators serve as clickable elements that mediate user interaction with the image search results, providing access to detailed product information and purchasing options without leaving the image context.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If text queries are used for product search, then users can input search requirements, but the accuracy of image results decreases

Engineering Contradiction:
Improveproduct search accuracyVSAvoidproduct details
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent replaces traditional text-based search mechanics with image-based visual search. Instead of relying on text query interpretation, the system allows users to search by uploading or selecting images, with AI algorithms matching visual features to product databases, thereby improving search accuracy while maintaining access to detailed product information through interactive indicators.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Loss of information

If multiple product information elements are displayed in advertisements, then user information needs are met, but the advertisement interface becomes cluttered

Engineering Contradiction:
Improveproduct information completenessVSAvoidadvertisement interface
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments product information into modular interactive indicators that can be independently clicked. Each indicator represents a specific product or feature, allowing users to selectively access information about individual items rather than presenting all information simultaneously. This segmentation maintains interface cleanliness while providing complete information access on demand.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11562409B2Shoppable ads with query relevant offers
Publication Date: 2023.01.24 GOOGLE LLC
  • US11562409B2 patent drawing
  • US11562409B2 patent drawing
  • US11562409B2 patent drawing

AI summary

A computer implemented method for displaying shoppable advertisements based on search query including receiving the search query from a user; retrieving an image comprising plurality of purchasable products related to the search query from a database; calculating a product relevance score for each of the plurality of products within each image based the search query; ranking each of the plurality products based on the product relevance score; selecting a subset of products based on the ranking; displaying the image comprising the plurality of products; and displaying the shoppable advertisements for the selected subset of products on a user device.