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Quality-driven fair data market platform, trading system and method

A data market and data technology, applied in the field of data services, can solve problems such as unfairness and low efficiency, and achieve the effect of avoiding deception and protecting data pricing

Active Publication Date: 2022-02-01
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, under the query-based pricing framework, the price of data depends on the submitted query and should be calculated online, which is relatively inefficient
Moreover, this framework also leads to unfair issues, as the quality factor is distributed, buy-side users can pay a relatively low price for the required data

Method used

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  • Quality-driven fair data market platform, trading system and method
  • Quality-driven fair data market platform, trading system and method
  • Quality-driven fair data market platform, trading system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Such as figure 1 As shown, a quality-driven fair data market platform 200 provided by an embodiment of the present invention includes a receiving module 201, a query module 202, an evaluation module 203, a pricing module 204, and an encryption module 205, specifically:

[0045] The receiving module 201 is used for receiving the inquiry request sent by the buyer, and sending the inquiry request to the inquiry module 202 .

[0046]Preferably, the query request includes query information and quality weight information. Since there are different aspects of data quality, buyer users can emphasize certain aspects through different quality weight information. By obtaining the quality weight information given by buyer users, the data market platform 200 can set prices according to the requirements of buyer users , to assign different weights to factors of different quality.

[0047] The query module 202 is configured to execute a query according to the query request, and retu...

Embodiment 2

[0100] Such as figure 2 As shown, Embodiment 2 of the present invention provides a quality-driven fair data trading system, including a buyer 400 and any of the above-mentioned quality-driven fair data market platforms 200, specifically:

[0101] The buyer 400 is used to send a query request to the data market platform 200;

[0102] The data market platform 200 is used to establish an encrypted buyer account 401 for the buyer 400, receive the query request sent by the buyer 400, execute the query, evaluate the quality of the query data results according to a number of predetermined evaluation indicators, calculate the final price of the data, and generate a price information, sent to the buyer 400;

[0103] The buyer 400 is also used to determine whether to conduct a transaction after receiving the price information, and if the transaction is to be carried out, generate a transaction request agreement and send it to the data market platform 200;

[0104] The data market pla...

Embodiment 3

[0109] Embodiment 3 of the present invention provides a quality-driven fair data transaction method, which is executed by any quality-driven fair data transaction system as described above, including the following steps:

[0110]Inquiry, the buyer 400 sends a query request to the data market platform 200; the data market platform 200 is used to receive the query request sent by the buyer 400, execute the query, evaluate the quality of the query data results according to a number of predetermined evaluation indicators, and calculate the final price of the data , and generate price information, and send it to the buyer 400 .

[0111] After receiving the price information, the transaction and buyer 400 judge whether to carry out the transaction. If the transaction is carried out, the transaction request agreement is generated and sent to the data market platform 200; the data market platform 200 receives the transaction request agreement, executes the data transaction, and generat...

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Abstract

The present invention relates to the technical field of data services, in particular to a quality-driven fair data market platform, trading system and method; wherein, the data market platform includes: a receiving module for receiving query requests sent by buyers, and sending the query requests to Query module; the query module is used to execute the query according to the query request, and return the query data result to the evaluation module; the evaluation module is used to evaluate the quality of the query data result according to a number of predetermined evaluation indicators, and send the quality evaluation result to the pricing module; the pricing module is used to calculate the final price of the data based on the quality evaluation results and the query price, and send the final price of the data to the encryption module; the encryption module is used to generate price information according to the final price of the data, and send the price information to the buyer; where the price Information includes price ranges and crypto prices. The present invention adopts a quality-based pricing strategy and a fair guarantee mechanism to avoid potential fraud.

Description

technical field [0001] The invention relates to the technical field of data services, in particular to a quality-driven fair data market platform, transaction system and method. Background technique [0002] Data transaction is an effective way to demonstrate the value of big data. The online data market trading system provides a platform for data transactions. In the data market, data pricing is an essential step, and data quality is an important factor to be considered in the data pricing process. Data quality refers to the suitability of data to meet business needs. Low-quality data often requires additional "cleaning", which means spending a lot of money and time. Data cleaning doesn't come cheap. It is estimated that data cleaning accounts for 30% to 80% of development time in data projects. Data quality greatly affects the availability of data and the additional spending of buy-side users. [0003] Low quality reduces the value of the data. To show the impact of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q30/02G06Q40/04
CPCG06Q10/06395G06Q30/0283G06Q40/04
Inventor 王宏志丁小欧张丹
Owner HARBIN INST OF TECH
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