Blocking Application for Proximity Marketing Data Regulation
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Solution Overview
Problem
Users face annoyance from receiving unsolicited advertising content from proximity marketing devices, such as Bluetooth broadcasting devices, which lack effective regulation mechanisms to filter or block unwanted data.
Innovation Solution
A computer-implemented method and system that initializes a blocking application on a messaging device to detect and block incoming data based on user-set settings, including general, keyword, time, and location filters, using a security module to manage data receipt from proximity messaging devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If proximity marketing devices transmit advertising content to mobile devices, then marketing effectiveness is improved, but user annoyance increases due to unsolicited content
Solution Approach 1:
The patent introduces a blocking module as an intermediary between the proximity marketing device and the mobile device. This module intercepts incoming data transmissions and applies filtering rules to determine whether to block or allow the content. The blocking module acts as a mediator that enables marketing transmissions to reach users who want to receive them, while filtering out unwanted content, thus maintaining marketing effectiveness while reducing user annoyance.
2Ease of operation
If a blocking application is implemented to filter incoming data, then user control is improved, but device complexity increases
Solution Approach 1:
The patent segments the data filtering functionality into distinct, modular components within the blocking application. The filtering rules are divided into separate categories (general blocking, keyword-based blocking, location-based blocking, time-based blocking), each handled by independent logic modules. This segmentation allows users to control each aspect separately through simple interface options, maintaining ease of operation while managing complexity through modular design.
Solution Approach 2:
The blocking application implements self-service functionality by automatically applying the filtering rules that users configure. Once users set their preferences for blocking certain keywords, locations, or time periods, the system autonomously processes incoming data transmissions and applies the appropriate filters without requiring user intervention for each individual message, thus maintaining ease of operation.
3Measurement precision
If multiple filtering settings are provided for data regulation, then filtering precision is improved, but device complexity increases
Solution Approach 1:
The patent divides the filtering functionality into distinct modular components, each handling a specific filtering criterion. The blocking application contains separate logic for general blocking, keyword-based blocking, location-based blocking, and time-based blocking. This segmentation allows each filtering mechanism to be implemented independently with precise control, improving filtering precision while managing complexity through modular architecture.
Solution Approach 2:
The patent implements multiple filtering settings that may be more than a single filtering mechanism would provide. By offering general blocking, keyword filtering, location-based filtering, and time-based filtering as separate optional layers, the system achieves high filtering precision through the combination of multiple partial filtering actions, rather than relying on a single complex filtering system.
Data Source
AI summary
A computer-implemented method for regulating the receipt of data transmitted from a messaging device is described. A security application that includes a blocking application is initialized. At least one setting for the blocking application is initialized. Incoming data transmitted from the messaging device are detected. At least a portion of the incoming data is blocked based on the initialized at least one setting for the blocking application.


