Extra-Rich Metadata Generator for Language Variation Search
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Solution Overview
Problem
Traditional content search systems in the television broadcasting industry face challenges in handling language variations and regional/copyright restrictions, leading to inconsistent and inaccurate search results, especially in languages like Chinese with different written formats and dialects, and geographic limitations.
Innovation Solution
An extra-rich content metadata generator system that retrieves and stores metadata from various sources, including language variations, and uses Pinyin mappings and shortcuts to enhance search capabilities, while considering user behavior and regional/copyright restrictions, to provide accurate and personalized search results across different platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional content search systems are used, then the system structure is simple, but the search accuracy and consistency deteriorate due to inability to handle language variations and regional restrictions
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing multiple language variations, Pinyin mappings, and regional metadata for all content items before search operations. This includes creating advance indexes with language tags, Pinyin conversions, and regional availability markers, so that during actual search operations, the system can quickly retrieve accurate results without performing complex real-time transformations.
Solution Approach 2:
The patent introduces intermediary components including a language variation database, Pinyin mapping layer, and regional restriction mediator. These intermediaries translate between different language representations and mediate between user search queries and content metadata, handling language conversions and regional filtering without requiring the core search engine to be complex.
2Adaptability or versatility
If multiple language variations and external metadata sources are integrated, then the search capability is enhanced, but the data storage and processing complexity increases
Solution Approach 1:
The system segments metadata processing into distinct modular components: language variation handlers, Pinyin conversion modules, regional restriction filters, and external source integrators. Each segment processes specific aspects of metadata independently, allowing the system to handle multiple language variations and external sources without creating monolithic complexity. The segmentation enables parallel processing and independent optimization of each metadata aspect.
Solution Approach 2:
The patent creates universal metadata structures that can handle multiple languages, regions, and content types through a single unified framework. The metadata schema is designed to be multi-functional, supporting Chinese characters, Pinyin representations, English translations, and regional availability markers within the same data structure, eliminating the need for separate processing systems for each language or region.
3Measurement precision
If language variations and regional restrictions are considered, then the search relevance is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary indexing of all language variations, Pinyin forms, and regional restrictions during content ingestion and metadata collection phases. Search indexes are pre-computed with multi-language support and regional filtering rules already applied, so that during actual user searches, the system only needs to perform simple lookups rather than complex real-time language processing and regional filtering.
Data Source
AI summary
In one embodiment, a method includes receiving content metadata related to content items provided by a content provider; retrieving additional metadata from one or more external sources, the additional metadata including language variations of the content metadata; storing the content metadata with the additional metadata in a storage device, wherein the content metadata is stored in association with the additional metadata; receiving a search request from a user, the search request including one or more search terms expressed in a first language variation; identifying, among the content metadata or the additional metadata, relevant metadata matching the one or more search terms; identifying additional relevant metadata stored in association with the relevant metadata, the additional relevant metadata including language variations of the relevant metadata; and adding one or more additional search terms to the search request, the one or more additional search terms corresponding to the additional relevant metadata.