Conceptual Search Result Clustering for Navigation Bottlenecks
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Solution Overview
Problem
Current search engines return large lists of search results that are difficult for users to navigate, as they often lack effective categorization or clustering, making it hard to quickly find relevant information, even with images and metadata, which do not reduce the number of search result entries and require users to scroll and skim through numerous pages.
Innovation Solution
A computer-implemented method and system that dynamically identifies common concepts associated with a search query, groups search results by these concepts, and constructs conceptual search result entries with multi-media content and descriptive text, allowing for rapid disambiguation and interactivity, using a network of content servers, databases, and a search server that processes and ranks web pages to provide visually illustrative search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search results are displayed as a large list of individual entries, then comprehensive search coverage is achieved, but user navigation and information retrieval become difficult
Solution Approach 1:
The patent segments the large list of search results into multiple conceptual categories or clusters based on shared characteristics, themes, or relationships among the results. This segmentation transforms a single overwhelming list into multiple organized groups, making navigation easier while preserving comprehensive coverage of all search results across the segments.
2Illumination intensity
If images are included in search results, then visual review is facilitated, but the number of search result entries remains large and requires scrolling
Solution Approach 1:
The patent merges multiple related search result entries into consolidated visual clusters or cards that display images along with aggregated information from multiple sources. This merging reduces the total number of discrete entries users must scroll through while maintaining rich visual content and comprehensive information coverage within each consolidated display unit.
3Productivity
If search results are categorized by concepts, then navigation efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where the system automatically performs concept extraction, categorization, and clustering of search results without requiring manual intervention. The system autonomously analyzes search result content, identifies conceptual relationships, and organizes results into navigable categories, thereby improving navigation efficiency while managing system complexity through automated processes.
Data Source
AI summary
A system and method for providing search results in visually illustrative concept format is disclosed. Concepts relating to a query term are identified. The search results comprise a conceptual search result entry for each identified concept. Each conceptual search result entry includes at least a visual content and textual content relating to its respective identified concept. The content for a given conceptual search result entry can come from different sources.