Search Result Framed Structure Layout for User Engagement
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Solution Overview
Problem
Conventional search result presentation methods, such as listing items linearly, can lead to low user engagement and are time-consuming, especially on small screens, as users may lose interest quickly and struggle to find relevant content.
Innovation Solution
A method and system that generate a search result using a framed structure with sub-components, where content items are arranged based on their relevance and interest to the user, utilizing machine learning to predict user engagement and optimize content placement within frames of varying sizes and positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If search results are presented as a linear list, then the presentation is simple and easy to implement, but user engagement decreases and users spend more time scrolling to find relevant content
Solution Approach 1:
The patent segments the search results into multiple framed structures with different sizes and positions, rather than presenting them as a single linear list. Each frame can contain different types of content items (e.g., sponsored links, organic links, images, videos) organized in a grid layout, allowing users to see multiple relevant items simultaneously without extensive scrolling.
Solution Approach 2:
The patent transitions from a one-dimensional linear list to a two-dimensional framed grid structure. Search results are arranged in frames with varying sizes positioned in different spatial locations on the screen, enabling users to access diverse content types across multiple dimensions rather than sequentially down a single list.
2Ease of operation
If search results are presented as a linear list, then the implementation is straightforward, but user engagement is low as users lose interest after viewing top items
Solution Approach 1:
The search result page is divided into multiple framed structures, each containing specific types of content items. This segmentation allows different content types (sponsored links, organic links, images, videos) to be visually separated and organized, enhancing user engagement by presenting diverse information in an structured, easily navigable format.
Solution Approach 2:
Different frames are assigned different sizes and positions based on the importance and type of content they contain. For example, sponsored links may be placed in prominent positions with larger frames, while other content types occupy different spatial configurations. This local differentiation optimizes user engagement by strategically positioning relevant content.
3Productivity
If content items are arranged in a framed structure with varying sizes and positions, then user engagement and click-through rates increase, but the system complexity increases
Solution Approach 1:
The system pre-establishes multiple framed structures with defined sizes and positions before populating them with content items. This preliminary arrangement of the framework allows for efficient content placement and reduces the complexity of real-time layout calculations, while still enabling high user engagement through the structured presentation.
Solution Approach 2:
The system dynamically adjusts parameters such as frame sizes, positions, and content item selections based on relevance scores, user preferences, and engagement predictions. By changing these parameters systematically rather than using complex adaptive algorithms, the system achieves high click-through rates while maintaining manageable system complexity.
Data Source
AI summary
The present teaching relates to providing a search result. In one example, a search request is received from a user. A plurality of content items is determined based on the search request. One or more content items are selected from the plurality of content items. A framed structure having at least one sub-component is generated. A correspondence is determined between the one or more content items and the at least one sub-component. Each of the one or more content items is arranged with respect to a corresponding sub-component. A search result is generated based on the one or more content items and the framed structure. The search result is provided.