Image Appended Search String Refinement System
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Solution Overview
Problem
Current search systems require users to manually enter and submit search strings, leading to inefficiencies and increased resource usage, as users often need to repeatedly enter different strings to find desired results when unsure of the item's description or name.
Innovation Solution
A dynamic content delivery search system that allows users to enter search strings without submitting, with real-time matching and result queuing, enabling image selection to append keywords and refine searches, reducing the need for manual refinement and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually enter and submit search strings, then the search system can process queries, but user effort and time consumption increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically generating and queuing search results as the user types, before the user even submits the query. This eliminates the need for users to manually submit searches and wait, as results are prepared in advance and displayed automatically.
Solution Approach 2:
The search system serves itself by automatically processing queries, generating results, and displaying them without requiring user submission actions. The system monitors typing in real-time, performs searches automatically, and manages result display, freeing the user from manual operational steps.
2Reliability
If users repeatedly enter different search strings to find desired results, then comprehensive search coverage is achieved, but computing resource utilization increases
Solution Approach 1:
The system performs preliminary search operations as the user types, generating potential results in advance. This allows the system to identify and present the most relevant results before the user finalizes their query, reducing the need for multiple iterative searches and associated computational overhead.
Solution Approach 2:
The system provides continuous feedback by displaying preliminary search results as the user types, allowing users to refine their queries based on observed results. This feedback loop enables more accurate first-attempt searches, reducing the need for repeated searches and associated computational resource consumption.
3Productivity
If the system provides real-time matching and result queuing, then search efficiency improves, but system complexity increases
Solution Approach 1:
The search system is segmented into distinct functional modules: a typing monitor that detects input, a search processor that generates queries, a result generator that creates matches, and a queue manager that organizes and displays results. This modular segmentation enables real-time performance while managing complexity through clear separation of concerns.
4Ease of operation
If users can refine searches by selecting images, then ease of operation improves, but the interface complexity increases
Solution Approach 1:
Images serve as an intermediary between the user and complex search refinement operations. Instead of requiring users to understand and input complex keywords or filters, they simply select from visual representations, which the system then translates into appropriate search refinements automatically.
Data Source
AI summary
Example embodiments of the present disclosure include a system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for providing an image appended search string. In example embodiments, a selection of an image is received. The image is a search result from a plurality of search results obtained based on a matching process performed on a current search string. A keyword corresponding to the selected image is determined. The keyword corresponding to the selected image is appended to the current search string. The plurality of search results is refined based on the appending of the keyword. The refined search results are then caused to be presented.