Contextual Knowledge Panels for Ranked Entity Information
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing search engines fail to provide contextually relevant information in knowledge panels, limiting the user's ability to access detailed and targeted information about entities based on context terms included in search queries.
Innovation Solution
A system that receives search queries including entity identifiers and context terms, determines relevant knowledge elements, assigns rank scores, and presents them in a knowledge panel within search results pages, optimizing the information based on context terms to enhance relevance and user interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional search engines provide general search results, then information coverage is broad, but context relevance is insufficient
Solution Approach 1:
The patent segments the search result presentation into two distinct components: traditional search results and a knowledge panel. The knowledge panel is further segmented into multiple knowledge elements (KEs) that can be independently selected and ranked based on context terms. This segmentation allows the system to provide contextually relevant information without completely replacing the traditional search interface.
Solution Approach 2:
The patent introduces context terms as intermediary elements that bridge the user's search query and the knowledge elements. These context terms act as mediators to select and rank appropriate knowledge elements from the knowledge base, enabling the system to filter and prioritize information based on the specific context of the search query.
2Quantity of substance
If the system includes all knowledge elements in the knowledge panel, then information completeness is high, but information overload increases
Solution Approach 1:
The patent applies local quality by differentiating the presentation and ranking of knowledge elements based on their relevance to specific context terms. Each knowledge element is assigned a rank score based on its relationship to the context terms in the search query, allowing the system to prioritize locally relevant information while maintaining access to the broader knowledge base.
Solution Approach 2:
The patent changes the parameter of information presentation by introducing rank scores that dynamically adjust the visibility and positioning of knowledge elements. This parameter change allows the system to control information density in the knowledge panel, presenting only the most relevant elements first while maintaining the ability to access additional information if needed.
3Measurement precision
If the system ranks knowledge elements based on context terms, then context precision improves, but processing time increases
Solution Approach 1:
The patent implements preliminary action by pre-processing and indexing knowledge elements with their associated context terms and relationships. This pre-processing allows the system to quickly retrieve and rank relevant knowledge elements during the search operation, rather than analyzing all possible information from scratch each time a search is performed.
4Adaptability or versatility
If the knowledge panel is customized based on context terms, then user engagement increases, but system complexity increases
Solution Approach 1:
The patent achieves universality by designing a knowledge panel framework that can adapt to different types of entities and context terms using the same underlying structure. The system uses a universal set of context terms and ranking mechanisms that work across diverse domains (people, places, things, events), allowing the knowledge panel to be customized for different search queries without requiring separate systems for each entity type.
Data Source
AI summary
Methods, systems, and apparatus for generating user interface elements for an entity in response to a search query. The method includes receiving a request that includes the entity and one or more context terms. In response to determining to provide the search results page including knowledge elements, the method identifies knowledge elements for the entity that include facts relating to the entity and identifies content in at least one knowledge element of the knowledge elements for the entity that relates to data identifying the entity and the one or more context terms. The method generates the user interface elements for at least some of the knowledge elements, including generating a user interface element for the knowledge element that includes a change of appearance of the content. The user interface elements are provided in the search results page in response to the request.