Search Service Query Management via Segmented Boosting
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Solution Overview
Problem
Current search services lack the ability to personalize search queries dynamically, leading to suboptimal user experiences in client applications, as they rely on predefined search queries that do not adapt to individual user preferences or behaviors.
Innovation Solution
A method is introduced where a search service manages search queries by receiving a first search query with boosting factors, executing it, and automatically generating a second search query with user-defined specifications, which are then executed to provide personalized search results, allowing users to personalize their search-based applications without requiring code updates or developer intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If predefined search queries are used in search services, then the system structure remains simple and maintenance is easier, but the user experience deteriorates due to lack of personalization and adaptability to individual user preferences
Solution Approach 1:
The search query is divided into two distinct parts: a first search query with boosting factors for personalization, and a second search query with user-defined specifications for content retrieval. This segmentation allows the system to handle personalization and content search separately, improving adaptability while managing complexity through structured division of functions.
Solution Approach 2:
The system performs preliminary processing by executing the first search query with boosting factors before the second search query. The boosting factors are pre-calculated based on user profiles, preferences, and behaviors, allowing the search service to personalize results without adding complexity to the core search mechanism during runtime.
2Ease of operation
If dynamic personalization of search queries is implemented, then user experience and user confidence improve, but maintenance and support costs increase due to additional query management requirements
Solution Approach 1:
Users can directly modify search queries through a user interface control component without requiring developer intervention or code updates. This self-service capability allows users to personalize their search experience dynamically, improving ease of operation while reducing maintenance costs by eliminating the need for developer support for personalization changes.
Solution Approach 2:
The search query system is made dynamic by allowing boosting factors to be adjusted based on user profiles, preferences, and behaviors that change over time. This dynamic adaptation improves user experience without requiring complex manual maintenance, as the system automatically updates personalization parameters based on user interactions and feedback.
3Loss of information
If a two-stage search query execution is implemented, then search result personalization is achieved, but the execution time and processing overhead increase
Solution Approach 1:
The first search query with boosting factors is executed beforehand to determine personalized parameters before executing the second search query for content retrieval. This preliminary action ensures that personalization information is retained and applied correctly, while the pre-computed boosting factors reduce the processing overhead during the final content search phase.
Solution Approach 2:
Different parts of the search process are optimized for different purposes: the first search query focuses on personalization with boosting factors, while the second search query focuses on efficient content retrieval. This local optimization allows each stage to be executed with appropriate parameters, minimizing overall execution time while maintaining personalization quality.
Data Source
AI summary
The invention relates to a method for managing search queries of a search service. A first search query is received from a client application and executed by a search service. A content item of a search query type of a search index of the search service is provided as a first search result of the first search query. A search query with a user-defined search specification provided by the first search result is automatically executed as a second search query and one or more content items of the search index are provided as a second search result of the second search query by the search service. The second search result is sent as a search result of the received first search query to the client application.