Virtual Assistant Server for Intelligent Content Retrieval

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Solution Overview

Problem

Current browsing experiences, both on websites and software applications, are inefficient due to lack of intelligent content identification, relying on user expertise and non-intuitive interfaces, with virtual assistants offering limited functionality and reactive interactions.

Innovation Solution

A virtual assistant server determines user intent from textual input, identifies relevant views, and retrieves content to display through optimized graphical user interface layers, enhancing interaction intelligence and personalization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If traditional browsing interfaces are used, then users can access content through search bars and site maps, but content identification becomes difficult and time-consuming, especially for first-time visitors

Engineering Contradiction:

Improvecontent identificationVSAvoidtime to identify content

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The virtual assistant performs autonomous intent detection and content retrieval without requiring users to manually search or navigate. The system self-determines user intentions from conversational inputs and automatically retrieves relevant content, eliminating the need for users to spend time on site maps or search bars.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces mechanical search interfaces (search bars, site maps, menus) with conversational AI interaction. Instead of requiring users to manually navigate through structured interfaces, the system uses natural language processing to understand intentions and retrieve content, substituting mechanical navigation with intelligent automation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Loss of information

If websites display entire reward pages with multiple reward types, then all reward information is available, but users must read and parse through irrelevant content to find specific information

Engineering Contradiction:

Improvereward information availabilityVSAvoidcontent parsing effort

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The system extracts only the specific reward information relevant to the user's intent from the complete reward page content. Instead of displaying the entire reward page, the virtual assistant identifies and retrieves only the specific reward details needed, eliminating unnecessary content while preserving relevant information.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system performs partial content retrieval based on user intent rather than loading the complete reward page. By using conversational inputs to determine specific reward needs, the system retrieves only the necessary partial information, reducing the amount of content users must process while ensuring all needed information is available.

Inventive Principle:

Principle #16Partial or excessive action

3Stability of the object's composition

If websites provide the same reward content to all visitors, then content consistency is maintained, but personalization to individual user needs is lost

Engineering Contradiction:

Improvecontent consistencyVSAvoiduser personalization

Core Design Contradiction:

Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The system applies different content retrieval strategies based on individual user characteristics and intentions. Instead of uniform content delivery, the virtual assistant analyzes user profiles and conversational inputs to determine personalized reward information, creating locally optimized content experiences tailored to each user's specific needs while maintaining overall system consistency.

Inventive Principle:

Principle #3Local quality

4Ease of operation

If virtual assistants are integrated into applications to provide conversational interaction, then basic conversation functionality is improved, but the ability to conduct intelligent browsing and content identification remains limited

Engineering Contradiction:

Improveconversational interactionVSAvoidcontent identification efficiency

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The virtual assistant is designed to perform multiple functions: conversational interaction, intent detection, content retrieval, and personalized content presentation. By integrating these functions into a single system, the patent enables the virtual assistant to not only converse with users but also autonomously perform intelligent browsing and content identification, resolving the limitation of basic conversation functionality.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11775773B2Methods for conducting a conversation in an application enabled by a virtual assistant server and devices thereof

Publication Date: 2023.10.03 KORE AI INC

AI summary

A virtual assistant server determines at least one user intent based on an analysis of a received conversational user input. One or more of a plurality of views is identified based on the at least one user intent. Further, the virtual assistant server retrieves content based on the at least one user intent or the identified one or more views. The virtual assistant server determines one of a plurality of graphical user interface layers to display for each of one or more parts of the content and the identified one or more views based at least on one or more factors related to the content. Subsequently, the virtual assistant server outputs instructions based on the determined one of the graphical user interface layers in response to the received conversational user input.