Search Results Pruning System for Relevance Filtering
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Solution Overview
Problem
Users face inefficiencies in search engines and online shopping due to high irrelevant search results, requiring multiple queries and increased latency, as there is no mechanism to exclude unwanted items or entities until search results are provided, leading to a poor user experience.
Innovation Solution
Implementing a search results pruning system that includes a processor-based filtering unit to receive user filtering requests, filter search results, and provide updated results, allowing users to exclude specific entities or keywords, reducing irrelevant content and improving search efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search engines provide comprehensive search results without filtering mechanisms, then the quantity of search results is high, but the relevance quality deteriorates and users experience poor search quality
Solution Approach 1:
The system performs preliminary filtering actions by providing filter options to users before they submit their search queries. Users can pre-select categories or entities they want to exclude from search results, and the search engine applies these filters in advance when processing the query, thereby improving result relevance without requiring multiple sequential searches
Solution Approach 2:
The system extracts and removes unwanted categories or entities from search results based on user-specified filters. By allowing users to identify and exclude specific items or entities they are not interested in, the system separates relevant results from irrelevant ones, improving overall search quality while maintaining comprehensive coverage of desired content
2Reliability
If users perform multiple successive search operations to exclude unwanted items, then the relevance quality improves, but the time consumption and latency increase
Solution Approach 1:
The system allows users to configure filter preferences in advance before submitting search queries. By pre-selecting categories or entities to exclude, users avoid the need to perform multiple successive searches to filter out unwanted results, thereby reducing time consumption while maintaining high relevance quality in a single search operation
Solution Approach 2:
The system incorporates feedback mechanisms where user interactions with search results (such as marking items as unwanted) are used to automatically update and refine filter settings. This feedback loop enables the system to learn from user behavior and improve result relevance over time without requiring users to manually perform multiple search operations
3Device complexity
If search engines lack filtering mechanisms until results are provided, then the system complexity is low, but the ease of operation deteriorates as users cannot exclude unwanted items
Solution Approach 1:
The system segments the search process into distinct components: filter configuration, query submission, and result display. By separating the filtering functionality into a distinct module that operates independently from the core search engine, the system maintains low overall complexity while providing users with easy-to-use filtering capabilities through a user-friendly interface
Solution Approach 2:
The system provides self-service filtering capabilities where users can independently configure their own filter settings based on their preferences. The filtering mechanism automatically applies user-defined criteria without requiring complex system configuration or administrator intervention, thereby improving ease of operation while maintaining system simplicity
Data Source
AI summary
The present teaching relates to methods, systems, and programming for information retrieval. A search result associated with a search query is obtained and provided to a user. Upon receiving a filtering request from the user, the search result is filtered based on the filtering request to generate an updated search result. The updated search result is provided to the user in response to the filtering request.