Dynamic Service Recommendation via User Behavior Analysis

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Solution Overview

Problem

Conventional smart TV service systems fail to accurately determine user state, leading to unsatisfactory service recommendations due to reliance on static methods, physical sensors, and models not specific to individual users, resulting in low conversion rates and increased costs.

Innovation Solution

A service providing method and apparatus that determines the validity of current service interfaces based on user operation information, triggering a preset service when a predefined condition is met, using a behavior tree to manage nodes and relationships, and calculating trigger parameter values to identify invalid service instances and provide targeted recommendations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If static recommendation methods are used, then system complexity is reduced, but recommendation accuracy and user satisfaction deteriorate

Engineering Contradiction:

Improvesystem complexityVSAvoidrecommendation accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent implements dynamic recommendation by continuously monitoring user operation behaviors (clicking, browsing,停留 time) and adjusting recommendations in real-time based on current state, transforming the static recommendation system into a dynamic one that adapts to user needs without requiring complex hardware additions

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system establishes a feedback loop where user operations are collected, analyzed to determine user state, and used to adjust subsequent recommendations. This feedback mechanism enables the system to learn from user interactions and improve recommendation accuracy iteratively

Inventive Principle:

Principle #23Feedback

2Measurement precision

If physical sensors and facial recognition are used to detect user state, then user state detection capability is improved, but system cost and device complexity increase

Engineering Contradiction:

Improveuser state detection accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

Instead of using physical sensors to directly detect user state, the patent creates a virtual model (user operation model) that copies and simulates user state based on operation behavior data. This behavioral copy replaces the need for expensive physical sensing hardware while achieving comparable detection accuracy

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical/physical sensing system (sensors, cameras) with an information-processing system that analyzes operation logs and behavioral data. This substitution eliminates hardware complexity while maintaining the functional capability of user state detection

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Speed

If pre-established user operation models are used, then recommendation speed is improved, but recommendation accuracy for individual users deteriorates

Engineering Contradiction:

Improverecommendation speedVSAvoidrecommendation accuracy

Core Design Contradiction:

SpeedVSMeasurement precision

Solution Approach 1:

The patent performs preliminary actions by pre-establishing a framework model structure and pre-collecting operation data, but leaves the specific model parameters to be dynamically adjusted based on individual user behavior. This allows fast model matching while maintaining individualization through real-time parameter adaptation

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system applies different levels of model specificity to different aspects: uses a general pre-established model framework for speed, but applies user-specific behavioral parameters locally to individual recommendation decisions, achieving both speed and accuracy through differentiated model application

Inventive Principle:

Principle #3Local quality

4Device complexity

If unified fixed content recommendation is used, then system complexity is reduced, but user satisfaction and service effectiveness deteriorate

Engineering Contradiction:

Improvesystem complexityVSAvoidservice effectiveness

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The patent changes the parameters of recommendation by dynamically adjusting recommendation content based on user operation parameters (browsing history, click patterns, 停留 time). This parameter-based adaptation enables the system to provide personalized recommendations without fundamentally changing the system architecture

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10306320B2Providing service based on user operation behavior

Publication Date: 2019.05.28 BANMA ZHIXING NETWORK HONGKONG CO LTD

AI summary

A service providing method based on user operation behavior including determining whether a current service interface provides a valid service according to received operation information; and when the valid service is not provided, performing the following operation: providing a preset service for a user when a preset service trigger condition is met. The present disclosure also provides a service providing apparatus based on user operation behavior. By use of the method provided in the present disclosure, the techniques of the present disclosure relatively accurately identify whether the user is in a browsing state without a determined target, and timely provide a preset service for the user, thereby increasing user loyalty of a user service system and improving use experience of the user.