Structured Search Query Context Generation for Content Relevance
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Solution Overview
Problem
Existing search query systems lack context, leading to irrelevant content item placement, as subsequent search queries often lack the context provided by initial queries, resulting in less relevant ad displays.
Innovation Solution
A method and system that generate structured search queries by determining relationships between multiple search queries, incorporating content identifiers and geographic location identifiers to provide context to subsequent queries, and providing these structured queries to content publishers for more relevant content item selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If structured search queries with context identifiers are generated and provided to content publishers, then content relevance is improved, but device complexity increases
Solution Approach 1:
The search query processing system is segmented into distinct functional components: a search query analysis module that generates structured queries with context identifiers, and a content publisher module that receives and processes these structured queries. This segmentation allows the complexity to be distributed and managed separately while improving overall content relevance through specialized processing at each stage.
Solution Approach 2:
A structured search query format acts as an intermediary between the user's original search query and the content publisher's selection process. This intermediary structure includes context identifiers that bridge the gap between query intent and relevant content, enabling more accurate content matching without requiring direct complex interactions between all system components.
2Measurement precision
If multiple search queries are analyzed to determine relationships and generate structured queries, then content targeting precision is improved, but processing time increases
Solution Approach 1:
The system performs preliminary analysis of search queries to identify relationships and generate structured formats with context identifiers before content selection occurs. By pre-processing the queries and establishing their relationships in advance, the system reduces the computational burden during the actual content matching phase, thereby improving targeting precision while minimizing additional processing time.
Solution Approach 2:
The search query is transformed from a simple text string into a structured format with additional parameters such as context identifiers and relationship tags. This parameter enrichment enables more precise content targeting by providing additional dimensions for matching, while the structured format allows for efficient processing through standardized data structures that can be quickly parsed and evaluated.
Data Source
AI summary
Systems and methods of evaluating search query terms in a computer network environment are provided. A data processing system can obtain, from a computing device via a computer network, a first search query and a second search query, and can determine a relationship between the first search query and the second search query. The data processing system can generate a structured search query representative of the first search query and the second search query, and can select, based on the structured search query, a content item for display by the computing device. The data processing system can receive an indication of a click on the content item, and can provide, to a content publisher computing device, a representation of the structured search query and the indication of the click on the content item.