Action Indicators for Search Results Using Crowd-Sourced Badges
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Solution Overview
Problem
Current search systems face challenges in accurately predicting user actions from search results, making it difficult to determine which actions to facilitate with action indicators, and are prone to errors and resource-intensive machine learning processes.
Innovation Solution
The implementation of action indicators, or 'badges,' that provide users with information on frequently performed actions after selecting search operation output elements, using crowd-sourced user data to determine which indicators to display, based on aggregate user behavior, such as browsing, saving, or sharing, and comparing user action percentages to thresholds and standard deviations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If machine learning processes are used to predict user actions from search results, then prediction accuracy may be improved, but system complexity and resource consumption increase significantly
Solution Approach 1:
The patent extracts and displays specific action indicators (such as shopping, saving, sharing) directly on search result elements without requiring complex machine learning models. This extraction approach simplifies the system by focusing on displaying pre-identified action patterns rather than predicting all possible user behaviors through complex algorithms
Solution Approach 2:
The patent uses lightweight, simple action indicator badges that can be quickly generated and displayed without requiring heavy computational resources. These indicators are simple visual elements that convey action information without the need for continuous complex processing or retraining of machine learning models
2Measurement precision
If machine learning processes are used to predict user actions, then prediction capability is enhanced, but processing time and resource consumption increase
Solution Approach 1:
The patent performs preliminary analysis of user actions and prepares action indicators in advance, so that when a search query is executed, the system can quickly display pre-computed action indicators without requiring time-consuming machine learning inference during the actual query processing
3Loss of information
If action indicators are provided for all search operation output elements, then user information completeness is improved, but information overload and user confusion may occur
Solution Approach 1:
The patent applies action indicators selectively to specific search result elements based on their characteristics and the actions most relevant to each element type. Different visual indicators are used for different actions (shopping, saving, sharing), and indicators are displayed only where appropriate rather than uniformly across all elements
Solution Approach 2:
The patent uses different visual representations (such as colored icons or badges) to indicate different user actions. This visual differentiation helps users quickly understand the available actions without text overload, maintaining interface clarity while providing comprehensive action information
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving, responsive to a search query from a user device, search operation output elements based on a search operation performed in response to the search query, wherein each search operation output element is an element that can be displayed in a search results environment in which search operation output elements responsive to the search query are displayed to a user of the user device, and are each individually selectable by the user, determining whether to provide an action indicator for each search operation output element, and providing, to the user device for display in the search results environment, the search operation output elements, and for each search operation output element for which one or more action indicators are to be provided, action indicator data for the search operation output element.