Dynamic Image Selection for Search Results Using Query Segmentation
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Solution Overview
Problem
Conventional search engines face challenges in presenting attractive search results, as they often return plain text or unattractive content items without suitable images, making it difficult to match appropriate images with content items effectively.
Innovation Solution
The system assigns a preselected preferred image to content items based on user interactions, with a portion of search queries randomly selecting image candidates and another portion using a predetermined preferred image, updating the preferred image based on user interactive scores to ensure relevance and attractiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional search engines return plain text content items without images, then the search process is simple and fast, but the presentation is unattractive and user engagement is low
Solution Approach 1:
The system pre-selects and stores preferred images for content items in advance, so that when search results are generated, attractive images are already available to be paired with content items, eliminating the need for complex real-time image matching while enhancing presentation
Solution Approach 2:
The patent introduces an intermediary image pairing mechanism that connects content items with relevant images. This intermediary layer allows the system to maintain simple search processing while adding visual appeal through pre-selected images that bridge the gap between text content and visual presentation
2Ease of operation
If the system randomly selects image candidates for all search queries, then image variety and user engagement may improve, but the complexity of image matching and processing increases
Solution Approach 1:
The system segments search queries into two portions: one portion receives randomly selected image candidates to explore and improve preferred image selections, while the other portion uses predetermined preferred images for efficient delivery. This segmentation allows the system to balance exploration and exploitation without overwhelming complexity
Solution Approach 2:
Instead of applying random image selection to all search queries, the system applies it only to a portion of queries. This partial action reduces the overall complexity and computational burden while still achieving the benefit of discovering and updating preferred images through user interaction feedback
3Productivity
If the system uses a predetermined preferred image for all content items, then processing is fast and simple, but the images may not remain relevant or attractive to users over time
Solution Approach 1:
The system implements a feedback mechanism where user interactions with image-content pairs are monitored and used to update preferred images. This feedback loop allows the system to maintain fast processing with predetermined images while adapting to user preferences over time, ensuring continued relevance and attractiveness
Solution Approach 2:
The system transitions from static predetermined images to dynamic preferred images that evolve based on user interactions. By allowing the preferred image assignments to change over time based on feedback, the system maintains both processing efficiency and adaptability to user needs
Data Source
AI summary
According to one embodiment, a content item is received that was identified in response to a search query received from a client. It is determined whether the search query is within a predetermined percentage of total search queries that yield the content item. In response to determining that the search query is within the predetermined percentage of the total search queries, a search is performed in an image store based on one or more keywords associated with the search query to identify a list of one or more images and one of the identified images is selected to be matched with the content item. Otherwise, a predetermined preferred image is selected to be matched with the content item. The content item is incorporated with the selected image to generate a composite content item to be transmitted to the client.