Hierarchical Content Navigation Model for Search Efficiency
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Solution Overview
Problem
Users face difficulties in efficiently retrieving desired content from portable terminals due to the diversification and increase in stored contents, leading to prolonged search times and inefficiencies, especially when search history is not available.
Innovation Solution
An electronic device implements a content navigation model in a tree structure, hierarchically clustering keywords associated with contents, allowing users to search by inputting search words and providing categorized content suggestions in stages, facilitating quick access to desired content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users search for content by manually browsing through home screen pages, then all contents can be accessed, but the search time increases significantly when the number of contents is high
Solution Approach 1:
The system pre-generates a content navigation model by hierarchically clustering keywords associated with contents before the user performs a search. This preliminary organization of content into a tree structure with categories and subcategories allows users to quickly navigate to desired content without manually browsing through all contents, thereby reducing search time while maintaining accessibility.
2Productivity
If users input a search word to search for content, then search speed improves, but the search fails when the search word is not suitable or search history is not available
Solution Approach 1:
The system introduces a content navigation model as an intermediary between the user's search intent and the actual content retrieval. When a user inputs a search word, the system uses the pre-built navigation model to interpret the search intent, suggest relevant categories and contents, and guide the user through hierarchical navigation. This intermediary structure enables successful content retrieval even when the initial search word is not precise, by providing contextual suggestions and alternative navigation paths.
3Productivity
If a hierarchical content navigation model is created to improve search efficiency, then content retrieval speed increases, but the system complexity increases
Solution Approach 1:
The system segments the large set of contents into hierarchical clusters based on keyword associations, organizing them into a tree structure with categories and subcategories. This segmentation transforms an unmanageable large-scale content set into smaller, organized groups that are easier to navigate. The hierarchical clustering algorithm automatically performs this segmentation by identifying keyword co-occurrences and grouping related contents together, reducing the cognitive load on users while improving retrieval speed.
Data Source
AI summary
An electronic device is provided. The electronic device includes a display, a communication module, at least one processor operatively connected to the display and the communication module, and a memory operatively connected to the at least one processor, and the memory may store instructions which, when executed, cause the at least one processor to display, on the display, one or more keywords for searching for a content, to arrange and display, according to a designated criterion, one or more first categories among subordinate categories associated with the first keyword and one or more first contents associated with the first keyword, in response to identifying that a first keyword is selected among the one or more keywords, to arrange and display, according to the designated criterion, one or more second categories among subordinate categories associated with a selected category and one or more second contents associated with the selected category in the case that a selection input to one of the one or more first categories is identified, and to provide the selected content in the case that a selection input to one of the one or more first contents is identified.