Context-Sensitive Cross-Lingual Search System
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Solution Overview
Problem
Existing search engines lack cultural awareness when searching across different languages, leading to inaccurate and non-targeted search results for users, as they fail to incorporate cultural context into search queries translated across languages.
Innovation Solution
A computer-implemented method that generates a data structure embedding cultural context, translates search parameters and context into target languages, and executes searches on databases with contextual awareness, providing contextually sensitive results in the user's native language.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If search engines translate search queries across languages, then cross-lingual search capability is improved, but cultural context is lost leading to inaccurate results
Solution Approach 1:
The system performs preliminary actions by monitoring user computing activities before the search query is submitted. It analyzes browsing history, application usage, and other behavioral data to pre-identify cultural context elements and user preferences, storing them in a profile. This preliminary preparation ensures that when translation occurs, the cultural context is already captured and can be preserved throughout the translation and search process.
Solution Approach 2:
The patent introduces an intermediary mechanism that acts as a bridge between the translation process and cultural context preservation. This intermediary component extracts cultural context from user behavior data, attaches it to the translated query, and ensures it reaches the search engine. The intermediary prevents direct loss of cultural context by actively managing its transmission through the translation barrier.
2Measurement precision
If search engines provide personalized results using built-in algorithms, then search accuracy is improved, but user information is limited
Solution Approach 1:
The patent transitions from traditional one-dimensional search parameters (keywords, location) to multi-dimensional user profiling by incorporating behavioral data from multiple sources including browsing history, application usage patterns, and interaction metrics. This dimensional expansion allows the system to build comprehensive cultural context profiles that enhance search accuracy without being constrained by limited traditional user information.
Solution Approach 2:
The system performs preliminary analysis of user computing activities across multiple applications and platforms before search execution. By monitoring and analyzing user behavior patterns in advance, the system builds detailed cultural context profiles that enable more accurate personalized search results, overcoming the limitation of having only basic user information available at search time.
3Ease of operation
If autocomplete features are used to narrow search criteria, then search targeting is improved, but manual parameter entry is reduced
Solution Approach 1:
The system enables self-service by automatically monitoring and analyzing user computing activities without requiring manual input. It autonomously extracts cultural context from browsing history, application usage, and behavioral patterns, then integrates this context into search queries. This self-service approach eliminates the need for users to manually enter contextual parameters while preserving comprehensive contextual data.
Solution Approach 2:
The patent implements preliminary automated analysis of user behavior to extract cultural context before the search is executed. This preliminary action captures contextual information that would otherwise require manual user input, allowing the system to provide targeted search results while maintaining ease of operation. The contextual data is prepared in advance and attached to the search query automatically.
Data Source
AI summary
A method, computer program product, and system for providing cross-lingual search results that retain cultural context include a processor(s) monitoring (with user permission) computing activities performed by the user, via a client. The processor(s) analyzes the computing activities to identify data comprising elements relevant to the user and relationships between the elements and the user. The processor(s) generates a data structure comprising the data. The processor(s) generates a search interface for obtaining entries in a first language to perform a query; the entries are search parameters embedded with a portion of the elements. The processor(s) obtains an entry in the first language. The processor(s) extracts the portion of the elements from the entry (cultural context for the entry). The processor(s) determines target languages for data responsive to the query. The processor(s) translates the search parameters and the cultural context into the target languages and executes searches on databases.