Notification Filtering via Personal Interest Profiles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for sharing data in computer systems often fail to notify users effectively about changes in shared repositories, leading to information overload due to manual subscription requirements and lack of filtering based on user interest, resulting in irrelevant notifications.
Innovation Solution
A system that automatically generates and filters notifications based on a user's personal interest profile, which includes keywords and important person identifiers, to provide relevant notifications only for accesses by important users to specific documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic subscriptions are implemented without filtering, then users receive comprehensive notifications about all document changes, but users experience information overload and inbox flooding
Solution Approach 1:
The notification system segments the monolithic notification stream into filtered subsets based on user profiles. Each user receives only notifications matching their interests, skills, and role-based criteria, dividing the comprehensive notification set into manageable, relevant portions
Solution Approach 2:
The system applies local quality by customizing notification content and delivery for each user based on their specific profile attributes. Different users receive different subsets of notifications tailored to their local needs, interests, and professional context
2Ease of operation
If manual subscription features are provided, then users can select specific notifications they want, but users lack time or awareness to configure subscriptions
Solution Approach 1:
The system performs self-service by automatically generating user profiles and configuring notification subscriptions without user intervention. The system monitors user behavior, extracts interests and skills, and autonomously sets up personalized notification filters
Solution Approach 2:
The system performs preliminary action by pre-configuring notification subscriptions based on user profiles before users need them. User behavior is monitored and analyzed in advance to prepare personalized notification settings
3Loss of information
If notifications are sent for all document accesses, then users are kept informed of all activity, but users receive irrelevant notifications from unknown users
Solution Approach 1:
The user profile acts as an intermediary between document access events and notification delivery. The profile filters and mediates which access notifications reach the user based on relevance criteria such as user interests, skills, and organizational role
4Extent of automation
If existing automatic subscription systems are used, then notifications are sent automatically when documents change, but no filtering or keyword-based notification generation is provided
Solution Approach 1:
The notification system becomes dynamic by continuously updating user profiles based on monitored behavior and changing interests. The filtering criteria adapt over time as the system learns from user interactions and updates notification preferences
Data Source
AI summary
A system and method for automatically generating and receiving notifications regarding accesses to documents in a shared repository, where the notifications are filtered such that they are only generated and/or received for accesses that match a personal interest profile of a local user. The personal interest profile of the local user includes a number of keywords determined to be of interest to the local user, as well as a number of important person identifiers associated with other users determined to be important to the local user. The system is operable to provide notifications in response to accesses by important other users to shared documents, including reading of those documents by the important other users.