Personalized Search via User Profile Segmentation
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Solution Overview
Problem
Current online search engines and marketplaces fail to provide search results specific to individual users, despite advances in searching services, as they do not adequately utilize user prior action history and profile information to personalize search results.
Innovation Solution
Implementing personalized search services that contextualize user queries by incorporating user-specific data from action history and profiles, either by augmenting queries with preferred terms or scoring results based on user preferences, to provide more relevant search results tailored to individual users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If general search mechanisms are used to serve the public as a whole, then search coverage and accessibility are improved, but search result personalization and relevance to individual users deteriorate
Solution Approach 1:
The patent segments the search system into multiple independent components: a profile manager that handles user data collection and storage, a search engine that processes queries, and a personalization module that integrates user profiles with search results. This segmentation allows each component to specialize in one function, improving personalization capability without proportionally increasing overall system complexity.
Solution Approach 2:
The patent introduces user profiles as an intermediary layer between the search engine and search results. The profiles store user preferences, behavior patterns, and demographic information, acting as a mediator that translates generic search queries into personalized results without requiring fundamental changes to the underlying search engine architecture.
2Measurement precision
If user-specific data is collected and processed to personalize search results, then search relevance to individual users is improved, but data processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by pre-collecting and storing user profile information, including demographics, preferences, and behavior patterns, before search queries are submitted. User histories and preferences are maintained in advance in profile records, so that when a search is performed, the personalization can be applied quickly without extensive real-time data collection and analysis.
Solution Approach 2:
The patent changes parameters by transforming user profile data into weighted scoring criteria that can be efficiently applied during search result ranking. Instead of processing raw user data during search execution, the system converts user preferences into predefined parameters and weights that accelerate the personalization calculation process.
Data Source
AI summary
Some embodiments provide personalized search services. The personalized search services operate to contextualize what is being searched for and to provide at least some search results in that context that are specific to the user to whom the results are to be provided.