Temporal Search Query Personalization via Time-Oriented Profiles
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Solution Overview
Problem
Current search engines fail to accurately reflect users' information needs by not considering temporal factors in search queries, leading to irrelevant results due to the lack of integration with users' browsing behaviors over time.
Innovation Solution
A time-oriented profile is created based on users' monitored browsing behaviors, allowing for the adjustment of search queries to include temporal components, which enables search engines to provide results that account for the user's recent interests and activities, thereby enhancing the relevance of search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search engines provide search results based solely on current search queries without considering temporal factors, then the search engine operation remains simple and fast, but the relevance and accuracy of search results deteriorate
Solution Approach 1:
The system performs preliminary actions by monitoring and storing user browsing behaviors in a time-oriented profile before the search query is processed. This allows the search engine to retrieve relevant temporal information quickly during search result generation without requiring complex real-time analysis, thus improving relevance while managing complexity through pre-processing.
Solution Approach 2:
The search engine segments the search process into distinct components: retrieving current query information, accessing time-oriented profile data, filtering based on temporal components, and generating search results. This segmentation allows each component to operate independently and efficiently, improving overall system performance while maintaining high result relevance.
2Measurement precision
If search engines integrate temporal factors and user browsing behaviors into search results, then search result accuracy improves, but the processing time and system complexity increase
Solution Approach 1:
User browsing behaviors are monitored and stored in advance in a time-oriented profile structure. When a search query arrives, the system can quickly retrieve relevant temporal information from the pre-organized profile without performing complex real-time analysis, significantly reducing processing time while maintaining high accuracy.
Solution Approach 2:
The system changes the parameter organization by structuring user behavior data with temporal components as key attributes. This allows for efficient filtering and retrieval of relevant information based on time frames, reducing the computational overhead associated with analyzing unstructured behavioral data in real-time.
3Adaptability or versatility
If search engines monitor and store user browsing behaviors in time-oriented profiles, then search result personalization improves, but data storage requirements and system complexity increase
Solution Approach 1:
The time-oriented profile stores browsing behavior data with specific temporal qualities and characteristics relevant to each user. By organizing data locally with appropriate temporal metadata, the system enables precise personalization without requiring complex global analysis mechanisms, thus improving adaptability while managing storage and system complexity efficiently.
Data Source
AI summary
A user is made able to configure a search query to be responsive to temporal factors in order to adjust the search query to more accurately reflect the user's true information need. By adjusting the search query in this way, the user is more likely to receive satisfactory search results.