Search History Segmentation for Personalized Query Refinement
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Solution Overview
Problem
Existing search systems fail to provide accurate search results for multiple users inputting the same keyword and classification items, as the results are not tailored to individual preferences, leading to decreased search accuracy.
Innovation Solution
An information processing apparatus and method that accumulates search conditions as search history for each search objective target, allowing for personalized search results by incorporating related search histories to refine search queries based on user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If search results are generated using the same keyword and classification items for multiple users, then the search system operates efficiently with uniform processing, but the search accuracy decreases because results are not tailored to individual user preferences
Solution Approach 1:
The patent segments the search history data by user ID, creating separate search history records for each user. This segmentation allows the system to retrieve and apply individual user preferences while maintaining efficient uniform processing for each user's search query, thereby resolving the contradiction between processing efficiency and search accuracy.
Solution Approach 2:
The patent applies local quality by customizing search results based on each user's specific search history and preferences. Instead of uniform treatment for all users, the system adjusts search parameters, classification items, and result presentation according to individual user characteristics, improving search accuracy without sacrificing overall system efficiency.
2Measurement precision
If search history is accumulated for each user, then personalized search results can be provided improving accuracy, but the system complexity increases due to additional data management requirements
Solution Approach 1:
The patent segments search history data by user ID, creating a structured format where each user's search history is independently stored and managed. This segmentation simplifies data retrieval and processing by allowing the system to focus on individual user histories, reducing the complexity of managing aggregate data while still providing personalized results.
Solution Approach 2:
The patent implements feedback mechanisms where search history is continuously accumulated and used to refine future search results for each user. This feedback loop automatically adjusts to user preferences over time, reducing the need for complex manual configuration while improving search accuracy through adaptive learning from user behavior patterns.
Data Source
AI summary
An information processing apparatus includes at least one processor, in which the processor receives a search objective target selected as a search objective from among a plurality of objective targets which are objective target subjects or objective target objects capable of being the search objective, receives a search condition designated for the search objective target, outputs a search result obtained by searching for a search target based on the search condition, and accumulates the search condition used for a search performed as the search objective target, as a search history, for each of the plurality of objective targets.