Action-Based Deeplinks for Search Relevance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users often face the challenge of finding relevant information or performing specific actions on search engine results, as the provided links may not directly lead to the desired content, requiring additional browsing within the website.
Innovation Solution
The implementation of action-based deeplinks that categorize web pages and identify common actions within a category, using social data to analyze user actions and provide consistent deeplinks across similar web pages, allowing users to quickly access and perform desired tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional search engine results provide links to landing pages, then users can access web pages within a website, but the landing pages may not contain the specific relevant information users are seeking, requiring additional browsing
Solution Approach 1:
The system performs preliminary analysis of social data to identify actions and URLs before users search. This pre-processing creates a database of action-URL associations that can be quickly retrieved during search operations, eliminating the need for users to browse multiple pages to find relevant information.
Solution Approach 2:
The patent introduces an intermediary layer between traditional search results and web pages. This intermediary system analyzes social networking data to extract action-URL pairs and inserts them into search results, serving as a mediator that directs users more precisely to relevant content without requiring them to navigate through the target website's structure.
2Loss of time
If search results provide direct links to specific web pages, then users can quickly access desired content, but the system requires analysis of social data to identify actions and corresponding URLs
Solution Approach 1:
The system segments the complex task of finding relevant web pages into two distinct phases: (1) offline analysis of social networking data to extract action-URL associations and build a database, and (2) online retrieval of pre-processed action-URL pairs during search operations. This segmentation reduces online processing complexity while maintaining comprehensive analysis capabilities.
3Adaptability or versatility
If the system analyzes social data to identify user actions and URLs, then it can provide personalized deeplinks for search results, but this requires accessing and processing data from social networking services
Solution Approach 1:
The system creates a universal database of action-URL associations from social networking data that serves multiple functions: (1) generating personalized deeplinks for individual users, (2) providing action-based categorization for all search results, and (3) enabling consistent action identification across different websites. This multi-functional approach maximizes the value extracted from social data analysis while avoiding redundant processing.
Data Source
AI summary
Social data is used to extract actions that end users perform in order to provide deeplinks for search results. Social data from social networking services may be accessed and analyzed to identify actions performed by end users. Additionally, the social data may be analyzed to identify URLs of web pages at which the actions may be performed. Information regarding the actions and corresponding URLs is stored for use by a search engine service to provide deeplinks for search results returned in response to user search queries.