Dynamic Concept List for Search Result Navigation
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Solution Overview
Problem
Online product search engines lack an effective way to enhance user browsing experience by providing relevance information for search results, as they do not adequately utilize concept hierarchies and user behavior data to rank and present search results.
Innovation Solution
The implementation of an enhanced concept list within search results that includes lower-level concept information, preselects the most relevant concept, and utilizes user interaction data to dynamically rank and group items by relevance, allowing users to better understand the relevance of search results and navigate through hierarchical taxonomies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional product search engines return summary information for products matching user queries, then users can obtain basic product information, but users cannot effectively understand the relevance and hierarchical classification of search results
Solution Approach 1:
The patent segments search results by hierarchical concept levels (e.g., top-level concepts, sub-concepts, and specific products). Each concept level is presented as a separate navigable category, allowing users to understand the hierarchical structure and relevance of products without overwhelming complexity. This segmentation preserves relevance information while organizing it in a manageable format.
Solution Approach 2:
The patent adds a hierarchical concept dimension to traditional flat search results. By introducing multiple concept levels (top-level concepts, sub-concepts, and individual products) as an additional organizational dimension, the system enables users to navigate and understand product relevance through hierarchical relationships without increasing overall system complexity.
2Adaptability or versatility
If product search engines provide hierarchical catalog navigation, then users can browse products by category, but users cannot dynamically adapt the navigation to their specific search context and behavior
Solution Approach 1:
The patent implements a dynamic concept list that automatically adapts to user search context and behavior. The system generates concept hierarchies specific to each search query and updates the displayed concepts based on user interactions, such as hovering over or selecting products. This dynamic adaptation enhances versatility while maintaining ease of operation through automatic, context-aware adjustments.
Solution Approach 2:
The patent incorporates feedback mechanisms where user interactions with search results (hovering, clicking, selecting) are captured and used to refine and update the concept list. The system learns from user behavior patterns and adjusts the hierarchical concept presentation to better match user preferences and search intent, making the navigation both adaptive and easy to use.
3Ease of operation
If search results present all matching products without concept hierarchy, then users see complete results, but users cannot efficiently navigate or understand product relevance
Solution Approach 1:
The patent segments the flat list of matching products into hierarchical concept groups (top-level concepts, sub-concepts, and individual products). This segmentation organizes products by relevance and category, enabling efficient browsing while preserving complete product information. Users can navigate through structured concept levels without losing access to all matching products.
Solution Approach 2:
The patent adds a hierarchical concept dimension to the flat search results, organizing products into multiple levels of categorization. This additional dimensional structure enables users to efficiently navigate and understand product relevance by exploring organized concept groups while still accessing the complete set of matching products through the hierarchical navigation.
Data Source
AI summary
Disclosed are various embodiments providing an enhanced concept list for browsing within item search results. A pool of items is generated in a computing device in response to a search query. A plurality of relevant concepts is determined. The relevant concepts are those relevant to the search query. At least one network page is encoded for rendering by a client. The at least one network page includes a concept list and at least a portion of a plurality of items. The items in the plurality of items are responsive to the search query. The concept list corresponds to the plurality of relevant concepts. Each of the relevant concepts in the concept list operates to limit a view of the plurality of relevant items to items located in the respective relevant concept.