Context-Aware Information Feed Aggregation System
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Solution Overview
Problem
Conventional methods fail to automatically aggregate and present relevant support information for users' products and services from various sources, requiring manual navigation and search across multiple web pages, forums, and social networks, lacking a unified view of the most relevant information.
Innovation Solution
A system generates a support information feed based on user contextual data, aggregating and weighting feed items from diverse sources such as social networks, blogs, and customer portals, to provide a unified view of support information relevant to the user's products and services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual navigation and search across multiple web pages, forums, and social networks is used to find support information, then users can access information from various sources, but users spend excessive time and effort navigating multiple sources without a unified view
Solution Approach 1:
The patent merges multiple information sources (web pages, forums, social networks) into a single unified information feed that is automatically generated and presented to users. This consolidation allows users to access comprehensive support information from diverse sources without manually navigating each source, thereby reducing time loss while maintaining information completeness.
Solution Approach 2:
The system automatically aggregates, filters, and prioritizes support information from multiple sources without requiring user intervention. The automated feed generation service continuously collects and processes information, delivering relevant content to users proactively, which eliminates the time users would otherwise spend manually searching across multiple sources.
2Loss of information
If support information is aggregated from multiple diverse sources, then the information becomes more relevant and useful to users, but the complexity of managing and processing information from these sources increases
Solution Approach 1:
The patent introduces an intermediary automated feed generation service that acts as a mediator between multiple information sources and users. This service automatically collects, processes, and consolidates information from diverse sources (web pages, forums, social networks) into a unified feed, managing the complexity of multi-source aggregation while delivering relevant information to users without exposing them to the underlying system complexity.
Solution Approach 2:
The automated feed generation service performs multiple functions within a single system: collecting information from various sources, filtering relevant content, prioritizing information based on user context, and delivering the consolidated feed. This multi-functional approach handles the complexity of managing diverse information sources while maintaining high information relevance.
3Ease of operation
If automated feed generation is implemented to consolidate information from multiple sources, then user time and effort are reduced, but the system requires significant resources for data collection, processing, and feed generation
Solution Approach 1:
The automated feed generation service implements partial action by selectively collecting and processing only the most relevant information from multiple sources based on user context and preferences. Rather than aggregating all available data, the system focuses on generating a curated feed of high-value content, reducing computational resource requirements while maintaining ease of operation for users accessing support information.
Data Source
AI summary
Disclosed are systems, apparatus, and methods for generating an information feed based on contextual data. User contextual data associated with a user is retrieved. The user contextual data identifies entities associated with the user. Data objects may be identified based on the retrieved user contextual data. Data object contextual data associated with the data objects may be retrieved. Feed items may be generated based on the data objects and the retrieved data object contextual data. A weight associated with each of the feed items may be generated. The weight may be generated based on the retrieved user contextual data and the retrieved data object contextual data. An information feed including at least some of the feed items may be generated. The information feed may arrange the at least some of the feed items based on the generated weight associated with each of the at least some of the feed items.