Map-Based Snippets for Recognizable History Retrieval
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Solution Overview
Problem
Existing user interfaces fail to effectively retrieve and recognize previously viewed map-based content pages, particularly due to the lack of distinctive attributes in scaled-down thumbnails, making it difficult for users to recall and access previous map-based searches.
Innovation Solution
The method and apparatus generate map-based snippets that include semantically meaningful components, such as images and text, to facilitate recognition and retrieval of previous map-based searches, utilizing a content page analyzer, map server, and snippet generator to construct location-based and direction-based snippets that can be displayed in a history log interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If scaled-down thumbnails are used to display previously viewed content pages, then device memory and display space are conserved, but users cannot effectively recognize or recall map-based content
Solution Approach 1:
The content page is segmented into multiple components: a scaled-down thumbnail for space efficiency, plus additional semantically meaningful components (destination information, map images, directions) that are extracted and displayed separately to enable recognition without requiring the full original display space
Solution Approach 2:
Semantically meaningful components (destination information, map images, directions) are extracted from the full content page and presented as separate snippet elements. This allows users to recognize map-based content through these extracted features without displaying the entire original page, thus conserving display space while maintaining recognizability
2Loss of information
If full map content pages are displayed in history log, then users can easily recognize previous searches, but device memory and processing resources are consumed
Solution Approach 1:
Instead of storing and displaying full content pages, the system extracts only the essential semantically meaningful components (destination information, map images, directions) needed for recognition. This dramatically reduces memory consumption while preserving the ability to recognize and retrieve map-based content
Solution Approach 2:
The snippet displays different types of information with different levels of detail appropriate to their function: compact destination information for quick scanning, scaled map images for spatial recognition, and condensed directions for route identification. This local optimization of information density reduces overall memory requirements while maintaining recognizability
3Loss of information
If distinctive attributes are added to thumbnails to improve recognition, then user recall of map-based searches improves, but snippet complexity and processing requirements increase
Solution Approach 1:
The snippet structure is designed as a universal template that can represent different types of map-based content (destination information, map images, directions) using the same component framework. This multi-functionality allows the system to handle various content types without increasing structural complexity, as the same snippet architecture accommodates diverse information types
Data Source
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AI summary
Various methods for generating map-based snippets are provided. One example method includes determining that a content page identifier includes an indication that a content page includes a map. In this regard, data for rendering the content page may include at least destination information. The method may also include in response to determining that the content page identifier includes an indication that the content page includes a map, extracting the destination information from the content page. The example method may further include constructing a user interface snippet that is selectable for retrieving the content page, where the user interface snippet includes a component that is generated based at least in part on the destination information. Similar and related example methods and example apparatuses are also provided.