User-Specific Working Sets for Enterprise Search
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Solution Overview
Problem
Providing fast and reliable search services across enterprise environments is challenging due to the large volume of information spread across various applications, requiring improved methods to facilitate user-specific content retrieval.
Innovation Solution
An enhanced service environment utilizing user-specific working sets, where working set agents in application services communicate event signals to a working set service to nominate and include relevant events in a user-specific working set, indexed for efficient searching, incorporating both content and social graph data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If enterprise search services crawl and index all content across multiple applications, then search completeness is improved, but search speed and reliability deteriorate
Solution Approach 1:
The patent extracts only the most relevant content items into user-specific working sets based on contextual signals (recently viewed items, shared items, calendar events, contact information) rather than indexing all enterprise content. This selective extraction maintains search completeness for relevant items while dramatically improving search speed and reliability by working with a smaller, curated subset of data.
Solution Approach 2:
The system performs preliminary actions by proactively assembling working sets in advance based on user behavior patterns and contextual signals before search queries are submitted. Events are nominated and added to working sets based on user activity, so when a search is performed, the results are already prepared and optimized for that specific user context, eliminating the need for real-time crawling and indexing.
2Measurement precision
If search results are personalized to individual users, then search relevance is improved, but system complexity increases
Solution Approach 1:
The patent segments the enterprise content into multiple user-specific working sets, each tailored to individual users based on their contextual signals and behavior patterns. Instead of maintaining a single complex personalized search system for all users, the content is divided into separate working sets that can be independently managed and optimized, reducing overall system complexity while maintaining high personalization.
Solution Approach 2:
The patent introduces working set agents as intermediary components that bridge the gap between raw enterprise content and personalized search results. These agents monitor user activity, nominate relevant events, and assemble working sets based on working set models, thereby simplifying the personalization process by delegating it to specialized intermediary components rather than requiring complex integration across the entire search system.
3Measurement precision
If working set models are updated based on user behavior, then personalization accuracy is improved, but processing overhead increases
Solution Approach 1:
The patent implements periodic updates to working set models based on user behavior rather than continuous real-time updates. Working set agents monitor user activity and periodically nominate events for addition to working sets based on accumulated behavioral signals. This periodic approach maintains high personalization accuracy by capturing meaningful user patterns while reducing processing overhead by avoiding constant model retraining and updates.
Data Source
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AI summary
Systems, methods, and software are disclosed herein for implementing enhanced search environments. In one implementation, an enhanced service environment includes a working set service that receives event signals initiated by working set agents in various application services. The working set agents communicate the event signals to nominate events occurring in the application services for inclusion in a working set of information specific to a user. The nominations may be based at least in part on a working set model specific to the user. In response to receiving the event signals, the working set service determines which of the events qualify for inclusion in the working set of information based at least in part on the working set model. For each event that qualifies for inclusion, the working set is modified to include at least the event.