Image Keyword Mapping for Search Result Attractiveness
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Solution Overview
Problem
Conventional search engines face challenges in presenting search results attractively, as they often return plain text or unattractive content items without effectively matching images to the corresponding content.
Innovation Solution
A system is implemented to match images with content items by configuring query-image matching rules that map keywords to image identifiers, using analysis of user search activities to identify relevant images, and incorporating these images into search results based on keyword matching and ranking algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional search engines return plain text content items without image integration, then the search process remains simple and fast, but the search results are unattractive and less engaging for users
Solution Approach 1:
The system pre-configures query-image matching rules that map keywords to image identifiers before search execution. This preliminary preparation allows the search engine to quickly retrieve relevant images without complex real-time processing, thus improving search result attractiveness while controlling system complexity
Solution Approach 2:
The patent introduces an intermediary matching rule system that acts as a mediator between search queries and images. Instead of directly complex image processing, the system uses keyword-to-image mapping rules as an intermediate layer, simplifying the overall process while enhancing result quality
2Productivity
If the system integrates relevant images with content items based on keyword matching, then user engagement improves, but the processing time and computational resources increase
Solution Approach 1:
By pre-configuring the query-image matching rules and maintaining ready-to-use keyword to image identifier mappings, the system avoids time-consuming image analysis during actual search operations. Images are prepared and tagged in advance, enabling rapid retrieval and integration with search results
Solution Approach 2:
The system extracts only the essential keyword-to-image mapping information needed for matching, separating this from complex full-image processing. This extraction approach reduces computational overhead while maintaining the ability to improve user engagement through relevant image integration
Data Source
AI summary
According to one embodiment, in response to a search query received from a client device for searching content, one or more first keywords are determined from the search query. A lookup operation is performed in an image-to-keyword (image/keyword) mapping table based on the first keywords. The image/keyword mapping table includes a plurality of entries, each entry mapping an image identifier (ID) identifying an image to one or more second keywords. For each of images identified in the image/keyword mapping table, a matching degree is determined between the first keywords and the second keywords. A ranking process is performed based on matching degrees on a plurality of images identified in the image/keyword mapping table whose second keywords match at least a portion of the first keywords.