Trending Algorithms for Enterprise Feed Segmentation
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Solution Overview
Problem
Sales performance applications overwhelm users with excessive information from multiple feeds, making it difficult for business users to identify and prioritize relevant trends and activities within their organization.
Innovation Solution
Implementing a method to dynamically display a personal feed content stream alongside a trends window in the user interface, using trending algorithms to identify and rank trending topics based on business processes and scenarios, and allowing super-users to influence trends by inserting artificial items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a business user subscribes to multiple feeds to receive comprehensive information, then the information coverage is improved, but the personal feed content stream becomes cluttered and overwhelming
Solution Approach 1:
The patent segments the information stream by introducing a trends window that separates trending topics from the personal feed content stream. This division allows users to maintain subscriptions to multiple feeds for comprehensive coverage while the trends window filters and presents only the most relevant trending topics separately, preventing clutter in the personal feed stream
Solution Approach 2:
The trends window acts as an intermediary between multiple subscribed feeds and the user's personal feed stream. It processes information from multiple feeds, identifies trending topics using algorithms, and presents a filtered subset to the user, thereby maintaining information coverage while improving readability
2Measurement precision
If trending algorithms process all feed content items to identify trends, then the accuracy of trend identification is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by having trending algorithms process only a subset of feed content items rather than all items. The system identifies and processes content items that are likely to be trending based on initial metrics, applying full analysis only to these candidates. This approach maintains acceptable trend identification accuracy while significantly reducing processing time and computational resources
Data Source
AI summary
Aspects of trending and trend-influencing approaches usable in content feeds of business software frameworks are described. A trending topic can be created based on a plurality of feed content items generated by a plurality of feeds across at least a subset of a customer organization using a business software architecture. The creating can include identifying an activity relating to a business process or scenario of the customer organization that underlies the feed content items. In some options, a super-user can insert artificial trends.


