Search Interface Content Selection Using Explore-Exploit Ranking
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Solution Overview
Problem
Current systems for generating user interfaces fail to identify content elements with higher relevancy to users and struggle to balance exposure to a broad range of content with presentation of relevant content elements, providing only a broad match between search results and additional content.
Innovation Solution
A system utilizing a content selection model that includes a trained similarity model, exploration model, and exploitation model to select content elements based on similarity and relevancy scores, generating a balanced interface with both high-relevance and exploratory content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content elements are selected from predefined sets and presented in predetermined portions, then the interface generation process is simple and fast, but the match between content elements and user queries is only broad and not highly relevant
Solution Approach 1:
The content selection process is divided into multiple stages: initial content campaigns are selected based on category matching, then filtered through similarity scoring, and finally ranked using exploration-exploitation strategies. This segmentation allows the system to achieve high content relevancy through multiple refinement steps while managing complexity by breaking down the selection process into manageable stages.
Solution Approach 2:
The system performs preliminary actions by pre-categorizing content campaigns and pre-computing similarity metrics before the actual content selection. This allows the interface generation process to quickly retrieve and rank relevant content without performing complex computations in real-time, thus improving content relevancy while controlling processing complexity.
2Adaptability or versatility
If the system presents only search results, then the content is highly relevant to the query, but users are not exposed to a broad range of content elements
Solution Approach 1:
The system dynamically adjusts the exploration-exploitation balance parameter based on the user's query and interaction history. By changing this parameter, the system can control the proportion of diverse content versus highly relevant content presented to the user, thus achieving adaptability in content diversity while maintaining appropriate levels of relevancy through the exploration-exploitation framework.
3Measurement precision
If the system uses only exploitation strategy to select content, then highly relevant content is presented, but exposure to diverse content elements is limited
Solution Approach 1:
The system dynamically balances exploitation and exploration strategies based on the specific context of each user query and the desired content diversity level. By making the content selection strategy dynamic rather than static, the system can adapt to different scenarios: emphasizing exploitation when high relevancy is prioritized, and incorporating exploration when content diversity is needed, thus resolving the contradiction between relevancy and diversity.
Data Source
AI summary
Systems and methods of generating an interface are disclosed. A request for an interface including a search query is received and a set of search results are generated via a search engine. A set of initial content campaigns are selected based on a category associated with the search query and are filtered based on a similarity score generated for the search query and each content campaign to generate a set of candidate content campaigns. The set of candidate content campaigns is filtered based on an exploration content score and an exploitation content score to generate a set of final content campaigns. An interface is generated including at least one content element selected from the set of final content campaigns and at least one content element selected from the set of search results. The interface is transmitted to the requesting system, which is configured to display the interface on a display.