Telecom Promotional Offer Matching via User Preference Tagging
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Solution Overview
Problem
Telecom users face limitations in receiving promotional messages when roaming, as their preferences are typically restricted to the direct service boundary of their home network, preventing them from accessing local offers in roaming areas.
Innovation Solution
A computer-implemented method and system that extracts user preferences from service contracts, tags users accordingly, and matches promotional offers from both home and roaming areas, allowing users to receive targeted messages when entering either network, extending user preferences beyond the home network boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users are restricted to receiving promotional messages only within home network boundaries, then network service management is simplified, but user experience deteriorates when roaming
Solution Approach 1:
The system segments promotional message delivery by geographic region (home network area vs. roaming area) and user status. It maintains separate preference profiles for home and roaming scenarios, allowing simplified management within each segment while providing comprehensive coverage across both segments through the unified platform.
2Adaptability or versatility
If user preferences are extended to roaming areas, then user experience is enhanced, but data processing complexity increases
Solution Approach 1:
The system performs preliminary actions by extracting and storing user preferences from service contracts during the service setup phase, before roaming scenarios occur. User preferences are pre-tagged and organized, so when users roam, the system can quickly retrieve and apply the appropriate preferences without complex real-time processing.
Solution Approach 2:
The system introduces an intermediary layer (the preference management platform) that sits between the service providers and users. This intermediary pre-processes and tags promotional offers according to user preferences, then delivers matched offers during roaming. This mediator handles the complexity of matching logic centrally, keeping individual system components simpler.
3Loss of information
If real-time tracking of user location is implemented, then promotional message relevance is improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary actions by pre-tagging users with their preferences during service contract setup, and pre-classifying promotional offers by region and category. This preparation work is done in advance, so when users move between home and roaming areas, the system can quickly retrieve pre-prepared matched offers without requiring intensive real-time analysis, reducing energy consumption during actual roaming operations.
Data Source
AI summary
Promotional offers are presented to users by tagging users of the services with the user preferences. Promotional offers are received from vendors. The vendors are classified as being in a home area or roaming areas for the services. The users are tracked through movement of a device for the user that is receiving the services to determine whether the user is in the home area or the roaming areas. Promotional offers from the vendors are matched to the user preferences according to the tagging of the users, wherein the promotional offers are from the home area of the home network or the roaming area of the roaming network.


