A method and system for evaluating user data value
A user data and value evaluation technology, applied in product evaluation, data processing applications, instruments, etc., can solve the problems of difficult evaluation, delivery of user data assets, and low accuracy of evaluation results, and achieve the effect of accurate evaluation results
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Embodiment 1
[0050] see figure 1 As shown, Embodiment 1 of the present application provides a user data value evaluation system, including:
[0051] A cost determination module 11 , an adjustment weight determination module 12 , an adjustment factor determination module 13 and an evaluation module 14 .
[0052] A. The cost determination module 11 is configured to determine the acquisition cost of the data set to be evaluated, and the data set to be evaluated includes multiple pieces of user data.
[0053] In actual implementation, multiple pieces of user data included in the data set to be evaluated can be user operation data, such as: user search, browse, purchase, add to shopping cart, comment, click, like, bookmark, consume, etc. data. Acquisition of data sets includes data collection using network means, such as crawling with web crawlers, and data collection using non-network means, such as questionnaires, and data purchases. Therefore, the acquisition cost of the data set to be ev...
example 1
[0072] Example 1: Suppose there are labels A, B, and E; the corresponding label weights include: a, b, and e.
[0073] The user data includes: M1-M5, and the number of times the user data M1-M5 is used is 1; and
[0074] The labels of M1 are: A and B;
[0075] M2 has labels: A and E;
[0076] The labels of M3 are: B and E;
[0077] The labels of M4 are: A, B, E;
[0078] The label of M5 is: B;
[0079] The number of times tag A is used is 3; the number of times tag B is used is 4; the number of times tag E is used is 3.
[0080] Taking label A as an example, the user data covered by label A includes: M1, M2 and M4;
[0081] (1) When user data M1 is used, all tags it has are A and B, and the tag weights of tags A and B are: a and b, respectively;
[0082] Then, when the user data M1 is used this time, the usage weight of the label A possessed by it is:
[0083] (2) When user data M2 is used, all the tags it has are A and E, and the tag weights of tags A and E are: a an...
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