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Method and device for data analysis and data query

A data analysis and expected data technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of not being able to accurately know the common preferences of multiple users, and achieve the effect of improving the utilization rate of computing resources and saving manpower

Inactive Publication Date: 2014-02-12
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present application provides a data analysis and data query method and device to solve the problem that the self-learning method in the prior art cannot accurately obtain the common preferences among multiple users, so as to improve the utilization efficiency of network resources

Method used

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  • Method and device for data analysis and data query
  • Method and device for data analysis and data query
  • Method and device for data analysis and data query

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] Such as figure 1 As shown, it is a schematic flow chart of a data analysis method provided in Embodiment 1 of the present application, including the following steps:

[0031] Step 101: Receive expected data, where the expected data includes event information and an expected result, where the expected result corresponds to the event represented by the event information.

[0032] The expected data may be data actively submitted by the user, data displayed to the user and actively triggered by the user, data displayed to the user and passively triggered, and may also be event information and expected results extracted by the Web server from Web log records expected data.

[0033] The expected data can also be obtained through user information collection and tracking software, such as flash, java virtual machine (JVM), and search engine tool bar.

[0034] Step 102: Count the number of the same expected results for the same event according to the expected data.

[0035] I...

Embodiment 2

[0040] In order to further accurately determine a certain user's personality preference, Embodiment 2 of the present invention optimizes the solution of Embodiment 1, and proposes a data analysis method, the flowchart of which is shown in figure 2 shown, including the following steps:

[0041] Step 201: Receive expected data, the expected data includes user identification, event information and expected results.

[0042] Step 202: Determine user information corresponding to the user identifier included in the received expected data according to the stored correspondence between the user identifier and user information.

[0043] In this step 202, the correspondence between the user identifier and the user information may be determined according to the registration data, transaction data, browsing data, evaluation data, etc. of the website visited by the user, and the determined correspondence shall be stored Locally, it is convenient to query the user information of the user ...

Embodiment 3

[0084] Embodiment 3 of the present application statistically analyzes the preferences of users in different regions, genders, ages, and occupations for gifts under different events to determine the common preference of users of the same user type for gifts when facing the same event.

[0085] The above-mentioned gift in the third embodiment is the expected result of the user corresponding to the user type in marriage or holidays, because the actual gift is a commodity when it is not obtained, and the commodity has certain attributes, such as: price range, brand, place of origin , color, material, etc., therefore, the expected result may be a commodity belonging to a certain category and having specific attributes.

[0086] In the third embodiment, the specific features are: region, gender, age group, occupation, then the same user type has the same region, gender, age group and occupation; the event is: marriage, holiday, and the expected result is to have attributes Commoditi...

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Abstract

The invention discloses a method and device for data analysis and data query. The method mainly comprises the steps of receiving expected data, enabling the expected data to comprise event information and expected results, and enabling the expected results to correspond to events expressed by the event information; calculating the number of identical expected results corresponding to the same event according to the expected data; and enabling the expected results with the number larger than a threshold value to serve as the expected results corresponding to the event. Due to the fact that plenty of expected data reflecting individual preferences of users are collected, calculated and analyzed, common preferences of the users for the same event are obtained, and the obtained common preferences reflecting the individual preferences can be utilized to determine the individual preferences of some user under the conditions that self-learning of behaviors of the user cannot be performed.

Description

technical field [0001] The present application relates to the field of statistical analysis of data, in particular to a method and device for data analysis and data query. Background technique [0002] With the development of network technology, websites can conduct self-learning based on information such as the webpages users visit during the surfing process, the keywords in the webpages, and the time they stay in the webpages, and obtain the user's personality preference information, and according to the obtained targeted The user's personality preference information actively collects relevant information in the network, and actively pushes the user's preference information to the user. [0003] For example: user A often visits webpages with the theme of military situation, stays on such webpages for a long time, keywords such as "advanced", "leadership", "plan", "nuclear weapons", "latest", etc. "Development", "secret", and "United States" appear more frequently, and the...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 张胜
Owner ALIBABA GRP HLDG LTD
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