Content Ranking via Entity Type Analysis
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Solution Overview
Problem
Content providers face challenges in accurately promoting relevant content items, as irrelevant or misleading items often rank higher in search results due to matching names or partial queries, leading to user dissatisfaction.
Innovation Solution
A method and system that analyze search queries by determining entity types associated with content items, promoting relevant results based on shared entity types and intent analysis, and inhibiting or demoting irrelevant items by using a hardware processor to generate and rank search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content providers promote content items by placing them at the top position of search results, then visibility and accessibility of promoted content is improved, but irrelevant or misleading content items may be incorrectly promoted leading to user dissatisfaction
Solution Approach 1:
The patent replaces simple name-matching mechanisms with entity type analysis and intent detection systems. Instead of relying solely on keyword matching that promotes knockoff movies, the system uses entity type determination (e.g., identifying whether search results are authoritative movie content) and analyzes shared entities across multiple search results to detect user intent, thereby substituting a more sophisticated information processing mechanism to improve promotion accuracy.
Solution Approach 2:
The system implements feedback loops by analyzing multiple criterion including whether search results share common entity types and whether the query intent aligns with the content class. This multi-criterion feedback mechanism allows the system to continuously evaluate and adjust content promotion decisions, ensuring that only content meeting multiple validation criteria is promoted to the top position.
2Productivity
If the system promotes content items based on name matching with search queries, then relevant content can be quickly identified, but knockoff or imitation movies with matching names are incorrectly promoted
Solution Approach 1:
The patent applies preliminary action by determining entity types and analyzing shared entities across search results before finalizing content promotion decisions. The system pre-processes search results to identify authoritative content, detect user intent through entity analysis, and validate multiple criterion before promoting content, thereby preventing knockoff movies from being incorrectly promoted while maintaining efficient content identification.
3Reliability
If the system analyzes multiple criterion including entity types and shared entities to determine query intent, then content promotion accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the content analysis process into distinct modular components: entity type determination, shared entity analysis, intent detection, and multi-criterion validation. Each module handles a specific aspect of the analysis independently, making the overall complex system more manageable and maintainable while achieving high accuracy in query intent detection and content promotion.
Data Source
AI summary
Methods, systems, and media for ranking content items using topics are provided. In some embodiments, a method for ranking video content is provided, comprising: receiving a search query; generating a plurality of search results in response to the search query; determining one or more entity types associated with a content class within the plurality of search results; determining whether the search query is a query for content belonging to the content class based on a plurality of criterion that includes: (i) determining whether at least one of the plurality of search results is associated with the one or more determined entity types and (ii) determining whether entities shared between the plurality of search results include the one or more determined entity types; and in response to determining that the plurality of criterion have been met, promoting at least one search result of the plurality of search results belonging to the content class.