Offline Content Tagging with Context-Sensitive Search Keywords
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Solution Overview
Problem
Traditional media such as television and newspapers lack interactivity, making it difficult for viewers and readers to obtain additional context-sensitive information related to content they are exposed to, as existing search methods are context-insensitive and often return irrelevant results.
Innovation Solution
Tagging offline content with a service indicator icon and associated keyword, allowing users to submit the keyword to an information service provider's URL, which uses stored search-limiting criteria to refine search queries and return focused, context-sensitive search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional search engines are used to search for information related to offline content, then users can access a broad range of web pages containing query terms, but the search results include many irrelevant references that do not pertain to the specific context of the offline content
Solution Approach 1:
The patent applies preliminary action by pre-tagging offline content with metadata and context information before the search occurs. The tagging system预先 (in advance) associates context-sensitive keywords, content descriptors, and relevance markers with the offline content, so that when a user searches, the results are already filtered and ranked based on pre-established contextual relationships rather than requiring post-processing of broad search results
Solution Approach 2:
The patent introduces an intermediary tagging system that acts as a mediator between offline content and search queries. The tags serve as an intermediate layer that translates offline content characteristics into search-engine-compatible metadata, enabling context-sensitive matching without requiring the search engine itself to understand the nuanced context of offline content
2Productivity
If users manually enter query terms into a search engine portal, then they can initiate a search, but they must spend time formulating appropriate query terms and navigating through irrelevant results
Solution Approach 1:
The patent implements self-service by enabling the offline content itself to provide the search query terms and context automatically. The tagging system allows the content to self-describe through embedded metadata, so the search system can automatically generate and execute optimized queries without requiring user intervention for query formulation or result filtering
Solution Approach 2:
The patent applies feedback by using the tagged metadata from offline content to automatically refine and adjust search queries in real-time. The system receives feedback from the tagged content characteristics and dynamically adjusts the search parameters, query terms, and result ranking to optimize relevance and speed
3Loss of information
If enhanced data is included with cable and satellite television content, then viewers receive additional information about programs, but the information is brief due to bandwidth limitations and determined entirely by the content provider rather than viewers
Solution Approach 1:
The patent transitions from a single-dimension bandwidth-constrained enhanced data system to a multi-dimensional solution by separating the information delivery channels. The tagging system stores comprehensive context information in a database dimension, while the enhanced data provides only minimal triggers, allowing viewers to access extensive customized information through Internet-based search without constraining the original broadcast bandwidth
Data Source
AI summary
Techniques for providing information about “offline” content are provided. In one technique, content (e.g., televised or paper-printed content) is “tagged” with a service-associated icon and a keyword. A person seeing the icon in the content may submit the keyword to the service via his web browser. The service responsively submits search-limiting criteria, associated with the keyword, as query terms to a search engine. The search engine determines relevant web pages based on the query terms, dynamically generates search results and returns the search results to either the web browser or the service, which may dynamically generate and send to the web browser another web page containing the search results. Due to the automatic addition of the search-limiting criteria to the query terms, the set of web pages that the search engine determines to be relevant is narrower and more focused than the set otherwise would be.