IoT Entity Ranking for More Relevant Search Results
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Solution Overview
Problem
Existing search technologies fail to effectively utilize data from Internet of Things (IoT) devices to enhance search relevance, leading to generic and less relevant search results.
Innovation Solution
An IoT enhanced search system that integrates IoT device data into a search engine's knowledge graph, processes and structures this data to identify entities and their popularity, and uses an IoT enhanced ranker to provide personalized and relevant search results by boosting confidence scores of documents containing matched IoT entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional search technologies are used, then search results are generated quickly, but the search results are generic and less relevant to user context
Solution Approach 1:
The patent merges traditional search technologies with IoT device data integration, combining existing search infrastructure with new data sources from IoT devices to enhance search relevance without completely replacing the existing system
Solution Approach 2:
The patent introduces an intermediary component that collects and processes IoT device data, acting as a bridge between IoT devices and the search engine, allowing relevant context to be incorporated without direct integration complexity
2Adaptability or versatility
If IoT device data is integrated into the search system, then search personalization and relevance improve, but data processing and system complexity increase
Solution Approach 1:
The patent segments the data processing into distinct modules: IoT device data collection, entity identification, and search result ranking enhancement. This modular approach allows each component to be optimized independently, managing overall system complexity while achieving personalization
Solution Approach 2:
The patent performs preliminary actions by pre-processing and structuring IoT device data before it reaches the search engine, including entity identification and relationship mapping, which reduces the processing burden during actual search operations
3Measurement precision
If entities from IoT device data are identified and used for ranking, then search result accuracy improves, but computational requirements and processing time increase
Solution Approach 1:
The patent applies partial action by selectively using IoT entity data only for specific search queries where relevant, rather than processing all searches with full IoT data integration. The system identifies when IoT context is applicable and applies enhancement only in those cases, reducing overall computational overhead
Data Source
AI summary
The discussion relates to providing more relevant search results to a user based upon information relating to IoT devices associated with the user. One example can receive search results for a search query associated with the user. The example can obtain entities from IoT devices associated with the user and rank the search results utilizing the entities from the IoT devices.