Man-Machine Dialogue System for Multi-Item Shopping Efficiency
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Solution Overview
Problem
Existing man-machine dialogue systems are inefficient for online shopping, as they require multiple dialogue processes for each commodity, leading to low shopping efficiency when users need to purchase multiple items.
Innovation Solution
A method and apparatus that manage multiple commodities through a pre-order data structure, allowing a single dialogue process to handle multiple items by determining semantic information, establishing target slot positions, and performing ordering operations when a keyword indicating ordering is input, thereby eliminating the need for separate dialogue processes for each commodity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a separate dialogue process is used for each commodity, then the ordering accuracy for each item is ensured, but the shopping efficiency deteriorates when multiple items need to be purchased
Solution Approach 1:
The patent merges multiple separate dialogue processes into a single unified dialogue process that can handle multiple commodities simultaneously. The system maintains a pre-order data structure that accumulates multiple items during one dialogue session, allowing users to order multiple commodities without initiating separate dialogue processes for each item, thereby improving shopping efficiency and reducing time loss.
Solution Approach 2:
The pre-order data structure is designed to be universal, capable of storing and managing multiple different commodity types within a single structure. This multi-functional approach allows the system to handle diverse shopping needs (different categories, specifications, and quantities) through one dialogue process, eliminating the need for commodity-specific dialogue routines.
2Productivity
If multiple commodities are managed in a single dialogue process, then shopping efficiency is improved, but the complexity of managing the ordering process increases
Solution Approach 1:
The patent segments the pre-order data structure into distinct fields for different commodity attributes (commodity name, specification, quantity, etc.). This segmentation allows the system to manage multiple commodities systematically by treating each commodity as a structured record with defined fields, reducing the complexity of managing diverse information within a single dialogue process.
Solution Approach 2:
The pre-order data structure acts as an intermediary between the user's dialogue inputs and the final ordering execution. It serves as a buffer that accumulates, organizes, and validates multiple commodity selections before the actual order is placed, simplifying the overall process by decoupling the dialogue phase from the execution phase.
3Loss of time
If a single dialogue process handles multiple items, then the number of dialogue processes is reduced, but the difficulty of tracking ordering status for each commodity increases
Solution Approach 1:
The patent divides the tracking of multiple commodities into separate, structured fields within the pre-order data structure. Each commodity's status (added, modified, removed, confirmed) can be tracked independently through its own record, making it easy to monitor the ordering status of each item without confusion, even though all items are processed within a single dialogue process.
Data Source
AI summary
A man-machine dialogue method, includes: for each round of a plurality of rounds of dialogue wherein each round includes dialogue information input by a user, determining semantic information corresponding to the dialogue information; determining a target slot position corresponding to an item indicated by the semantic information, establishing a new pre-order data structure including the target slot position when there is no established pre-order data structure including the target slot position; outputting reply information responsive to the dialogue information, wherein the reply information is configured to guide the user to input new dialogue information in a subsequent round of dialogue; and in a case that the dialogue information input by the user in the subsequent round includes a keyword for indicating ordering, performing an ordering operation according to a finally-established pre-order data structure.