Keyword Manager for Multi-Source Content Personalization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
User devices in telecommunications networks lack the ability to provide highly personalized content based on diverse information sources, leading to a suboptimal user experience due to reliance on single-source information.
Innovation Solution
A method and system that utilize a keyword manager to analyze data from multiple sources, including user input and behavior, to generate a prioritized list of keywords, which are then used to select customized content for the user device, incorporating an information extractor, behavioral engine, temporal profile, general profile, and application profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content selection relies on single-source information, then system complexity is reduced, but content personalization and relevance deteriorate
Solution Approach 1:
The system segments information processing by creating separate functional modules: an information extractor that collects data from multiple sources, a behavioral engine that analyzes user actions, and a keyword manager that synthesizes keywords into prioritized lists. This segmentation allows complex multi-source analysis while maintaining manageable system architecture through clear separation of concerns.
Solution Approach 2:
The keyword manager acts as an intermediary component that receives keywords from both the information extractor and behavioral engine, analyzes their relative importance, and produces a unified prioritized keyword list. This intermediary approach integrates multiple information sources without requiring direct complex interactions between all components, thus managing system complexity while achieving personalized content selection.
2Measurement precision
If keywords are analyzed from multiple sources, then content relevance is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by continuously extracting information and generating keywords from multiple sources in the background, maintaining ready-to-use keyword lists that reflect current user interests. This preliminary processing ensures that when content selection is needed, the system can quickly retrieve and apply pre-analyzed keywords rather than performing time-consuming analysis at the moment of content delivery.
Solution Approach 2:
The keyword manager employs self-service mechanisms by automatically analyzing the importance and relevance of keywords from different sources without requiring external intervention. It autonomously prioritizes keywords based on their significance to user interests, enabling rapid content selection while maintaining high relevance through continuous self-updating of keyword priorities based on new information.
Data Source
AI summary
A system for selecting customized content for a user device is provided. The system includes a processor and an information extractor that, when executed by the processor, is configured to obtain at least one keyword from analyzing data entered into the user device. The system includes a behavioral engine that, when executed by the processor, is configured to obtain at least one keyword from analyzing a behavior of a user of the user device. The system also includes a keyword manager that, when executed by the processor, is configured to receive at least two keywords from the information extractor and/or the behavioral engine and to analyze the at least two keywords to obtain a prioritized list of keywords and to provide the prioritized list of keywords to a component that is configured to select customized content for the user device based on the prioritized list of keywords.