Personal Channel Search String Generator for Non-Linear Content
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Solution Overview
Problem
Conventional recommender systems struggle to integrate non-linear content items into personal channels due to the lack of structured metadata and the high volume of irrelevant search results when using metadata character strings, leading to low precision in recommendations.
Innovation Solution
An apparatus that generates specified search strings by combining metadata pieces with predefined search strings, controlled by a transceiver to retrieve semantically related non-linear content items, and provides electronic recommendations to users, with the ability to update search strings based on frequent search results and user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If metadata character strings are used to search for non-linear content items, then the search process is simple, but the precision of search results is low due to high volume of irrelevant results
Solution Approach 1:
The search string is segmented into multiple components: at least one metadata piece from the personal channel and at least one predefined search string from the search string memory. This segmentation allows the system to combine specific user preferences with general search terms, improving precision while maintaining operational simplicity through automated composition.
Solution Approach 2:
The apparatus acts as an intermediary between the user's metadata and the search engine. It automatically generates composite search strings by combining metadata pieces with predefined search strings, serving as a mediator that translates user preferences into effective search queries without requiring direct user involvement in the search process.
2Device complexity
If conventional recommender systems use metadata to find similar content, then the system structure is simple, but the ability to integrate non-linear content items is limited
Solution Approach 1:
The apparatus is designed to handle both linear and non-linear content items through a universal interface. The search string generator and transceiver work together to retrieve content from diverse sources (broadcasting and internet) and integrate them into the personal channel, making the system versatile without requiring fundamentally different structures for different content types.
Solution Approach 2:
The system performs self-service by automatically generating search strings and retrieving relevant non-linear content items without requiring manual intervention. The transceiver autonomously controls the search engine using generated search strings, and the apparatus automatically integrates retrieved content into the personal channel, reducing complexity while enhancing adaptability.
3Reliability
If users manually add content to personal channels, then content relevance is high, but the time and effort required is significant
Solution Approach 1:
The system performs preliminary actions by pre-defining search strings in the search string memory and pre-processing metadata from the personal channel. When a user requests content, the apparatus automatically combines these pre-prepared elements into search queries, retrieving relevant non-linear content items without requiring users to manually search or evaluate multiple sources, thus saving time while maintaining relevance.
Solution Approach 2:
The system incorporates feedback mechanisms where the transceiver controls the search engine with generated search strings and the apparatus evaluates retrieved content for relevance to the personal channel. This feedback loop ensures that only highly relevant non-linear content items are selected for integration, maintaining content reliability while automating the selection process to reduce user time and effort.
Data Source
AI summary
The invention relates to an apparatus (100), a video system, a method and a corresponding computer program and a computer readable medium for managing a personal channel (210) of a user (200). The apparatus (100) is configured to control a search engine (300) with a specified search string (132) that the apparatus (100) has generated by combining a predefined search string (122) and a metadata piece (214). Thereby, the apparatus (100) retrieves a non-linear content (314) item being similar to a specific linear content item being referenced by the metadata piece and causes a recommendation (152) to the user (200) to add the retrieved non-linear content item to his personal channel (210).