Personalized History Answer Service for Search Result Re-finding
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Solution Overview
Problem
Users often struggle to re-find information from previous search sessions due to memory issues with search terms and rank changes in search results, making it difficult to recognize previously seen results.
Innovation Solution
A personalized history answer service that records and associates search queries, results, and user selections with a user history profile, inferring user intent to re-find previous information and displaying relevant results when a similar query is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users rely on memory to recall search terms from previous sessions, then no additional system complexity is introduced, but users fail to re-find information due to memory limitations and rank changes
Solution Approach 1:
The system performs preliminary actions by recording and storing search queries, results, and user selections in a history profile during previous search sessions. This pre-stored information is then retrieved and presented when users conduct new searches, eliminating the need for users to rely on memory and enabling automatic re-finding of previously viewed information regardless of rank changes.
2Measurement precision
If the system records and stores detailed search history information, then user intent can be accurately inferred and relevant results displayed, but system complexity and data management burden increase
Solution Approach 1:
The system extracts only the essential elements needed for re-finding information (search queries, result identifiers, and user selection data) and stores them in a streamlined history profile structure. This selective extraction approach enables accurate user intent detection while avoiding the complexity of managing complete search session data, focusing only on the critical components required for effective result retrieval.
3Ease of operation
If traditional search results are displayed without history integration, then search result presentation remains simple, but users cannot recognize previously seen results due to rank changes and lack of contextual information
Solution Approach 1:
The system implements feedback by analyzing user selections from previous search sessions and using this information to prioritize and highlight relevant results in current searches. When users conduct new searches, the system retrieves previously selected results and presents them with contextual indicators, enabling users to quickly recognize and re-access information they have previously viewed, thereby compensating for rank changes and memory limitations.
Data Source
AI summary
A system, method, and medium are provided for providing a personalized answer to a user-defined search query by utilizing the user's search history. A search session is instantiated, and search queries, search results, user selections of search results, and other information is recorded. A search query is received and analyzed to determine whether the query reflects user intent to re-find a search result that the user previously was presented in response to a previously issued search query. Search results pages provided to the user in response to queries include a personalized history answer that represents a previously viewed search result that the user may be attempting to re-find.