Visual Spam Probability Representation on Mobile Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing spam filtering systems on mobile devices struggle to effectively distinguish between legitimate and suspected spam messages, often allowing unwanted messages to pass through, which can lead to increased bandwidth usage and charges for users, especially on wireless devices.
Innovation Solution
A method and system that visually represents the probability of a message being spam within the message list on a mobile communication device, using shading or icons to indicate the percentage downloaded and the spam probability, allowing users to easily identify likely spam messages and manage them accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If traditional spam filtering is used, then some spam messages are blocked, but legitimate messages may also be prevented from getting through
Solution Approach 1:
The patent replaces traditional binary spam filtering (block/allow) with a visual probability representation system. Instead of mechanically blocking messages based on threshold rules, the system uses visual indicators (shading, icons) to represent spam probability, allowing users to make informed decisions about each message while maintaining reliable delivery of legitimate messages.
Solution Approach 2:
The patent changes the parameter representation from binary (spam/not spam) to continuous probability visualization. By displaying spam probability as a visual spectrum rather than a simple classification, the system allows users to assess risk levels and make nuanced decisions, improving both spam filtering effectiveness and legitimate message delivery reliability.
2Ease of operation
If all messages are downloaded to mobile devices, then users have access to all messages, but bandwidth usage and charges increase
Solution Approach 1:
The patent applies preliminary action by providing visual spam probability indicators in the message list before messages are fully downloaded or opened. Users can assess spam likelihood based on visual representations and choose whether to download or view full messages, preventing unnecessary bandwidth consumption while maintaining easy access to legitimate messages.
Solution Approach 2:
The system implements partial action by allowing users to view message metadata and spam probability indicators without downloading the complete message content. This partial access approach reduces bandwidth usage significantly while still providing sufficient information for users to identify and prioritize legitimate messages.
3Productivity
If visual representation of spam probability is added to message lists, then users can quickly identify spam messages, but device complexity increases
Solution Approach 1:
The patent uses color changes and visual shading to represent spam probability levels. By encoding complex probability data into simple visual cues (such as shading intensity or color gradients), the system enables rapid spam identification without adding significant interface complexity, as users can intuitively interpret visual differences without additional controls or settings.
Data Source
AI summary
There is disclosed a system and method for visually representing the probability of spam messages on a mobile communication device. In an embodiment, the method comprises: obtaining a probability that a message is spam; and for each of one or more messages in a message list, visually representing the probability that a message is spam such that any differences in the probabilities as between messages are discernable from the visual representation. In another embodiment, the method further comprises: determining the percentage of the message downloaded to the mobile communication device; and displaying for each of one or more messages appearing in the message list an object or icon visually representing at least one of the probability that the message is spam, or the percentage of the message downloaded to the mobile communication device.