Interactive Information List Building With Natural Language Queries

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Solution Overview

Problem

Existing cloud-based information platforms require substantial user engagement for query adjustments and actions, making it inconvenient and inefficient to identify a user's desired product service and matching information items.

Innovation Solution

A system utilizing natural language processing to generate and update information lists based on user queries, allowing users to interact through natural language inputs, generating candidate items, and updating lists accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If cloud-based information platforms rely solely on user-entered queries and actions to identify user's desired product service, then the platform can operate with basic interface functionality, but user engagement becomes inconvenient and inefficient

Engineering Contradiction:

Improveuser engagement convenienceVSAvoidefficiency of identifying user's desired product service

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The system enables self-service by automatically analyzing user behavior data, inferring user intent, and generating candidate information items without requiring explicit user queries. The platform serves itself by processing user actions (clicks, views,停留时间) to automatically update information lists, reducing the need for users to manually adjust queries or navigate through multiple interfaces.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual user interaction mechanisms with automated natural language processing and machine learning systems. Instead of requiring users to manually enter queries and adjust parameters, the system uses AI models to process user behavior data and generate relevant information items automatically, substituting mechanical user actions with intelligent automated processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If the platform requires substantial user engagement for query adjustments and actions, then it can maintain basic interface functionality, but the process becomes inefficient and inconvenient for users

Engineering Contradiction:

Improveefficiency of list building operationsVSAvoiduser interaction complexity

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The system performs preliminary actions by proactively generating candidate information items based on user behavior patterns before users explicitly request them. The platform continuously analyzes user actions and pre-processes data to create updated information lists, so when users do interact, the work is already partially completed, reducing the number of steps users must take.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback loops where user actions are continuously monitored and fed back into the natural language processing model. This feedback mechanism allows the system to learn from user behavior patterns and automatically adjust information lists in real-time, creating an efficient cycle that reduces the need for repeated user adjustments and manual query modifications.

Inventive Principle:

Principle #23Feedback

3Productivity

If the platform uses natural language processing to automatically generate candidate information items, then user engagement efficiency improves, but the system complexity increases

Engineering Contradiction:

Improveefficiency of information list managementVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces natural language processing models and machine learning algorithms as intermediaries between user behavior data and information list management. These intermediary systems process raw user actions, extract meaningful patterns, and generate structured candidate information items, thereby automating complex tasks while maintaining a relatively simple user interface and reducing the need for direct user-system complexity management.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20260004335A1Systems and methods for interactive list building

Publication Date: 2026.01.01 WALMART APOLLO LLC

AI summary

This application is directed to systems and methods for building information lists interactively on a cloud-based information platform. In some embodiments, a disclosed method includes obtaining one or more query messages having a natural language format and processing the one or more query messages to generate basic item information and a user request for modifying a target information list with the basic item information. The disclosed method further includes, in response to the user request, generating one or more candidate information items representing a subset of a plurality of information lists available to the first user; while presenting the candidate information items, receiving a user input selecting a target information item representing the target information list; updating the target information list based on the basic item information; and storing the target information list updated based on the basic item information in the memory.