Real-Time Breaking News Tokenization Across Content Providers
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Solution Overview
Problem
Current online news service providers lack the ability to inter-relate breaking news headlines with news stories from multiple content providers, often resulting in incomplete or inaccurate information, which can lead to user disengagement due to the lack of depth and breadth in coverage.
Innovation Solution
A method and apparatus that dynamically tokenize breaking news headlines and news stories to identify matching tokens, allowing for real-time analysis and mapping of related news stories across multiple content providers, enabling a comprehensive presentation of developing stories alongside the breaking news headline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional content matching algorithms are used to identify related news stories, then comprehensive information coverage is achieved, but processing time and computational overhead increase significantly
Solution Approach 1:
The patent segments news articles into discrete tokens (words or phrases) and creates separate token lists for breaking news headlines and candidate news stories. This segmentation transforms the complex task of comprehensive content matching into a simpler token comparison problem, where the system only needs to identify overlapping tokens rather than analyzing entire articles, thereby reducing processing time while maintaining information completeness.
Solution Approach 2:
The patent changes the parameter of comparison from full-text content matching to token-based matching. By transforming the matching criterion from comparing entire articles to comparing sets of tokens, the system achieves faster processing while still capturing the essential semantic relationship between breaking news and related stories through token overlap.
2Reliability
If news stories from multiple content providers are aggregated and analyzed, then user engagement and information depth improve, but system complexity and processing overhead increase
Solution Approach 1:
The patent simplifies system complexity by segmenting the analysis task into independent token-level operations. Instead of implementing complex algorithms to analyze relationships between multiple news articles, the system simply tokenizes each article and compares token sets, making the multi-provider aggregation process more manageable and scalable.
Solution Approach 2:
The patent introduces tokens as an intermediary representation between the raw news content and the matching logic. By converting news articles into token sets as an intermediate form, the system simplifies the comparison process and reduces the complexity of directly analyzing relationships between multiple content providers' articles.
3Speed
If real-time tokenization and matching is implemented, then news delivery speed improves, but computational resources and processing overhead increase
Solution Approach 1:
The patent applies partial action by performing tokenization and matching only on the essential elements (tokens) of news articles rather than analyzing the complete content. This partial processing approach enables real-time news delivery speed while reducing computational resource requirements compared to full-article analysis.
Solution Approach 2:
The patent changes the processing parameter from full-content analysis to token-based matching, which requires fewer computational resources. By transforming the matching task into a set-based token comparison problem, the system achieves real-time performance with reduced energy and computational overhead.
Data Source
AI summary
Methods and systems for relating breaking news stories across content providers include receiving a breaking news headline for a breaking news from a content provider. The breaking news headline is tokenized in substantial real time by identifying a plurality of headline tokens. A plurality of news stories is received from a plurality of content providers. Each of the plurality of news stories is tokenized to identify a plurality of story tokens. The plurality of headline tokens and story tokens are analyzed to determine if one or more of the news stories are related to the breaking news headline. Based on the analysis, one or more of the news stories are mapped to the breaking news headline. The mapping enables presentation of the one or more news stories from one or more of the content providers while rendering the breaking news headline.