Network Server Adaptive Recommendation Scoring
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Solution Overview
Problem
Existing online shopping mall services face challenges in enhancing advertisement effectiveness due to irrelevant or low-relevance advertisement messages being displayed to users, which decreases user engagement and purchase likelihood.
Innovation Solution
A network server and method that provides adaptive recommendation messages to user terminals by scoring user interactions and object relevance, selecting appropriate message types and objects based on user convertibility points, and displaying them in a manner that increases user interest and purchase probability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If advertisement messages are provided to increase information to users, then purchase need may increase, but if the advertisement messages are irrelevant or have low relation with the user, advertisement effect decreases
Solution Approach 1:
The patent applies local quality by customizing advertisement messages according to individual user characteristics. The server determines user attributes (age, gender, location, browsing history) and selects advertisement messages that are locally optimized for each user's profile, ensuring that the information provided is both quantity-rich and relevance-high simultaneously
Solution Approach 2:
The patent changes parameters by dynamically adjusting advertisement message selection based on user attributes and browsing history. The system modifies which advertisements are displayed by changing the selection criteria according to real-time user data, thereby maintaining both information quantity and advertisement effectiveness
2Ease of manufacture
If generic advertisement messages are displayed to all users, then implementation is simple, but user engagement and purchase likelihood decrease
Solution Approach 1:
The patent applies dynamics by transitioning from static generic advertisements to dynamic personalized advertisements. The system continuously updates advertisement selections based on real-time user attributes and browsing history, making the advertisement delivery system adaptive and responsive to user behavior changes
Solution Approach 2:
The patent implements feedback by using user browsing history and interaction data to refine advertisement selections. The system analyzes user responses to advertisements and adjusts future advertisement messages based on this feedback, creating a closed-loop system that improves engagement while maintaining implementation feasibility
Data Source
AI summary
A network server for providing web pages to user terminals which access through user identifications (IDs) may include: a communicator connected to a network; and a processor configured to communicate with the user terminals through the communicator. The processor may be configured to score first convertibility points corresponding to the respective user IDs, according to whether actions of the user terminals on the web pages are matched with predetermined user events, select one of the plurality of message types according to whether the first convertibility point of one user ID among the user IDs is higher than a threshold value, when the one user ID accesses through a user terminal, and provide the selected message type including the selected object to the user terminal of the one user ID.