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Field intelligent guide service system and method with preliminary human thinking

A technology of service system and thinking, applied in the on-site intelligent guidance service system and field that has begun to have human thinking

Active Publication Date: 2012-10-24
张越峰
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] On the other hand, the website page tracking interest analysis system can provide users with more humanized commodity recommendation services based on historical data and keyword information provided by users when they use web browsers, but this system can only be applied to In terms of online marketing, there is still a certain gap with the intelligent shopping guide in real life

Method used

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  • Field intelligent guide service system and method with preliminary human thinking
  • Field intelligent guide service system and method with preliminary human thinking
  • Field intelligent guide service system and method with preliminary human thinking

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0032] In this implementation example, the system of the present invention includes a data mining module, an action executor and an input module. The action executor is an audio player, and the data mining module includes a data mining algorithm module and a database module. The input module is composed of sensors, and the input module can be translated into information data that the data mining module can understand and sent to the data mining module.

[0033]When the data mining module is implemented, it can be implemented in an online or offline manner. That is, in the online mode, after the data mining module receives the signal from the input module, it uses the data mining algorithm to train the database, and the input information queries the trained database to obtain output information. In the offline mode, the data mining algorithm is trained on the database before the input module is input, and the input signal of the input module directly queries the trained databa...

Embodiment 2

[0050] The improvement according to the first embodiment is as follows: the action actuator also includes a mechanical action actuator, and the intelligent system can be used on the shelves of the shopping mall.

[0051] The intelligent system of this embodiment is used in supermarkets. When a user passes by a shelf in the supermarket, the sensor near the shelf detects the identification card carried by the user, and transmits the parameter information of the user's identity to the data mining module for calculation. The user's shopping habits are obtained, and a list of recommended products for the user is given. The action executor plays the list through the audio player, or through the mechanical actuator, the shelf is rotated, the products recommended to the user are turned to the user, and the advertisement video of the recommended product is played.

[0052] When a user takes out a product from the shelf, the sensor detects what kind of product it is, and then sends it t...

Embodiment 3

[0057] The improvement according to the first embodiment is as follows: the input module further includes a sound pickup. The present embodiment is used on the intelligent robot in the supermarket. When the user selects a product from the robot through the pickup, the robot returns the recommended product list of the product through the data mining module and plays it through the audio player.

[0058] The data mining module transmits the list of recommended products to the mechanical actuator, and the mechanical actuator interprets and obtains the location of the recommended product, instructs the mechanical arm to point to the location of the recommended product, or instructs the head of the robot to turn to the position of the recommended product, or matches the product The corresponding robot gestures include facial expressions. Or fetch the video ad for the recommended product and play it. The multimedia display shows the map location where the recommended commodity is ...

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Abstract

The invention discloses a field intelligent guide service system and method with preliminary human thinking. The system comprises a data mining module and an action execution module, and also comprises a data acquisition module and a route planning module, wherein the data acquisition module is used for acquiring user data and inputting the data into the data mining module, and the data mining module is used for generating trained data according to the acquired data; and the route planning module is used for calculating the recommended route according to the trained data and a target address, and the recommended route is displayed by the action execution module. The method can be applied to various public service places, such as field shopping guide of shopping malls and supermarkets and field guide service of hospitals, railway stations, airports and the like, and users can be guided to find and buy required target commodities or target service items by various path guiding methods; and meanwhile, the system and the method also provide the users with various recommended commodities / service item information related to the target commodities or target service items as well as the guide paths of the recommended commodities / service items for selection.

Description

technical field [0001] The present invention relates to a system and method for mining data information to provide users with recommended information, specifically to design an on-site intelligent guidance service system and method with on-site shopping guide / guidance and recommendation functions that have begun to have human thinking. Background technique [0002] Existing data mining technology is usually used to analyze the sales data of shopping malls and supermarkets. The staff manually set the layout of commodities in shopping malls and supermarkets based on these data, and the commodities are passively accepted by users. Although the correlation can be artificially The products are displayed and sold together, but it is impossible to automatically adjust the display position of the products, and automatically recommend products through sound and video, that is, it is impossible to actively market the products. These data mining techniques generally extract useful data...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/00
Inventor 张越峰
Owner 张越峰
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