Persistent Search Aggregation Across Multiple Queries
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Solution Overview
Problem
Conventional Internet search technologies treat each search separately, leading to distinct sets of results and requiring users to perform multiple searches to find desired content, resulting in an inefficient user experience.
Innovation Solution
A system and method for persistent searches that allows users to save and display items from previous search results alongside new results, using a client-server architecture with enhanced search engines and portal servers to combine and display tagged items across multiple searches, improving user experience by streamlining results and reducing memory requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional search technology treats each search separately, then each search returns distinct results, but users must perform multiple searches and switch between pages to compare results, increasing time and operational complexity
Solution Approach 1:
The patent merges multiple separate search results into a single unified display by maintaining a persistent collection of tagged items across searches. The system combines current search results with previously tagged items from prior searches, allowing users to compare all relevant results in one interface without switching pages or performing separate search operations.
Solution Approach 2:
The patent implements preliminary action by allowing users to tag items during intermediate search results before finalizing their selection. Users can mark items for accumulation during the search process, and these tagged items are automatically preserved and displayed alongside subsequent search results, eliminating the need to revisit previous search pages.
2Loss of information
If users perform multiple successive searches to find desired content, then they can accumulate relevant results, but they must switch between pages and manage multiple result sets, increasing device memory requirements and interface complexity
Solution Approach 1:
The patent merges multiple separate search results into a single unified display by maintaining a persistent collection of tagged items across searches. The system combines current search results with previously tagged items from prior searches, allowing users to compare all relevant results in one interface without switching pages or performing separate search operations.
Solution Approach 2:
The patent extracts only the essential information (tagged items) from multiple search results and maintains them in a persistent collection. Instead of requiring users to manage complete result sets from multiple searches, the system extracts and preserves only the marked items, displaying them alongside new results in a simplified unified interface.
3Adaptability or versatility
If users perform multiple searches with different criteria, then they can explore various content options, but conventional technology provides distinct result sets that require separate page displays, reducing productivity
Solution Approach 1:
The patent implements dynamics by making the search result display adaptive and flexible. The interface dynamically adjusts to accommodate multiple search criteria by allowing users to tag items from different searches and automatically combining them in a unified persistent display. This dynamic approach maintains versatility in search exploration while improving productivity through streamlined result comparison.
Solution Approach 2:
The patent creates a universal interface that handles multiple search criteria and result sets through a single persistent search function. The system provides multi-functionality by allowing the same interface to display results from various search operations, tag items from different queries, and combine them all in one unified view, eliminating the need for separate page displays for each search type.
Data Source
AI summary
Various systems, methods, and programs embodied in computer-readable mediums are provided for saving search results. A representative example includes receiving an indication of a selected first search result. The selected first search result included in a first plurality of search results matching a first search criteria. This example also includes aggregating the selected first search result and a second plurality of search results matching a second search criteria, and providing the aggregated search results.