WO2015067087A1

WO2015067087A1 - Attribute set recommendation method and device

Info

Publication number: WO2015067087A1
Application number: PCT/CN2014/084620
Authority: WO
Inventors: 盘学文; 贾西贝
Original assignee: 深圳市华傲数据技术有限公司
Priority date: 2013-11-05
Filing date: 2014-08-18
Publication date: 2015-05-14
Also published as: CN104252407A

Abstract

An attribute set recommendation method and device, the method comprising: acquiring an attribute value inputted by a user; recommending an attribute set according to the attribute value inputted by the user and the currently recorded attribute value; and acquiring the attribute value selected by the user in the attribute set. Recommending a stored attribute set to a user for selection reduces the possibility of the user inputting data in a wrong format, and improves the consistency of data formats.

Description

Attribute set recommendation method and device

Technical field

The present application relates to the field of data entry technologies, and in particular, to an attribute set recommendation method and apparatus.

Background technique

A large group holding company may have a head office and several subsidiaries scattered throughout the country. The main data systems of these group companies have a unified and strict data management mechanism. At the same time, as an example to improve the quality of basic data, reduce the difficulty of analysis and processing of business data, and improve the accuracy of business data, the company will carefully clean the main data. And maintenance. However, subordinate subsidiaries do not have such a comprehensive data management system. When each subsidiary enters and processes business data, it often has its own input method, which makes the data forms of different subsidiaries unable to be consistent. Even because different subsidiaries will eventually aggregate their business data into the main data, errors will be introduced into the main database during the data modification process.

Summary of the invention

The technical problem to be solved by the present application is to provide an attribute set recommendation method and apparatus that can make the data form consistent with the main data when the data is entered.

In order to solve the above problem, the present application discloses an attribute set recommendation method, including:

Get the user input attribute value;

Recommend a set of attributes based on user input attribute values and current recorded attribute values;

Obtaining the attribute value selected by the user in the recommended attribute set.

Further, the recommending the attribute set according to the user input attribute value and the currently recorded attribute value includes:

Calculates all attribute values associated with user input attribute values for the current record and recommends a set of attributes.

Further, the acquiring the attribute values selected by the user in the recommended attribute set includes:

Obtain the attribute value confirmed by the user in the recommended attribute set as the attribute value selected by the user.

Further, after the obtaining the attribute value selected by the user in the recommended attribute set, the method further includes:

The other attribute values to be input are repaired according to the attribute value selected by the user.

Further, after the repairing the other to-be-entered attribute values according to the attribute value selected by the user, the method further includes:

When the repair can determine the remaining attribute values, the remaining attribute values will be fixed;

When some of the attribute values cannot be determined by the repair reasoning, the recommended attribute set will be recalculated for the remaining attributes.

In order to solve the above problem, the present application also discloses an attribute set recommendation apparatus, including:

An attribute obtaining module, configured to obtain a user input attribute value;

a recommendation module, configured to recommend a set of attributes according to a user input attribute value and a current recorded attribute value;

The obtaining module is configured to obtain an attribute value selected by the user in the recommended attribute set.

Further, the recommendation module is further configured to:

Further, the selection acquisition module is further configured to:

Further, the device further includes:

The repair module is configured to repair other attribute values to be input according to the attribute value selected by the user.

Further, the repair module is further configured to:

When some of the attribute values cannot be determined by the repair reasoning, the recommendation module will recalculate the recommended attribute set for the remaining attributes.

Compared with the prior art, the present application includes the following advantages: by recommending the stored attribute set to the user selection, the possibility of the user inputting the wrong form data is reduced, and the data form consistency is improved.

DRAWINGS

1 is a flow chart of an embodiment of an attribute set recommendation method according to the present invention;

2 is a schematic diagram of a processing flow in an embodiment of an attribute set recommendation method according to the present invention;

FIG. 3 is a schematic structural diagram of an embodiment of an attribute set recommendation apparatus according to the present invention.

detailed description

The above described objects, features and advantages of the present application will become more apparent and understood.

Referring to FIG. 1, an attribute set recommendation method of the present application is shown, including:

In the embodiment of the present invention, the concept is defined as follows:

1. Determined attributes (Valid Attribute): Reasoning by a user or by using an acknowledgment attribute is the correct attribute in a piece of data.

2. Reference data (Main Data): The reference data is from the user's main system, and the embodiment of the present invention defaults the data to be authentic and trusted.

3. Rule: A rule is a revision rule that is formulated in advance and set in the system. It is associated with the schema structure of the main data and is implemented by the function dependency rule technique.

For example, a rule (A, Am)-> (B, Bm) || (C='1'), which means that when the value of attribute A and the value of Am (corresponding attribute in the reference data) are equal, the value of attribute B and the value of Bm in this data are also equal, provided that The value of attribute C of the data is '1', where the condition value can be empty.

4. Recommended attribute set: When interacting with the user, some attributes should be confirmed by the user (this is because if the user does not confirm any attribute value, the data cannot be inferred, and other attributes cannot be derived), if all attributes are Confirmation by the user will increase the burden on the user. For this reason, the user should be provided with a recommendation attribute set for the candidate, and the attribute user of the recommended attribute set can confirm the other attribute values after confirmation (because the reasoning process is based on the confirmation value and the main data) , so the reasoning value is a certain attribute).

Step S101: Acquire a user input attribute value;

When the system detects that the business system has data to be entered, the system is triggered.

Step S102: recommend an attribute set according to the user input attribute value and the currently recorded attribute value;

The system automatically calculates the recommended attribute set of the current record, and the user confirms the attribute value in the set. If the remaining attribute values can be determined through the repair inference, the remaining attribute values are repaired; if the repaired reasoning still has some attribute values, Determines the recommended attribute set for the remaining attributes.

There are many ways to determine the set of recommended attributes. The following is a greedy method.

Rules specify dependencies between attributes, such as rules (A, Am)-> (B, Bm)||() indicates that when the value of the A attribute of the data is determined, then the value of the B attribute can be obtained by using the main data, so if the value of the A attribute is provided to the user for confirmation, the value of the B attribute may not be provided. Using rules to know the dependencies between attributes, you can greedily get a set of attributes for user confirmation.

For example, there is a rule rule1: (A, Am)-> (B, Bm)||();rule2:(B,Bm)-> (C, Cm)||(), the mode of the data to be repaired is R=(A, B, C), then the rule can be found that A can determine B, B can determine C, and A is added to the recommended attribute set. C can be obtained by reasoning. The recommended attribute set is {A}.

The rule set and attribute set are defined before. The dependency graph of an attribute treats the attribute as a point, and the dependency between the attribute and the attribute is treated as a directed edge. The extended attribute collection is an extension to the recommended attribute set and will be used in the following process description.

Use rules to determine the dependency graph of an attribute by creating a directed edge between the left attribute (point) and the right attribute (point), such as rule1:(A,Am)-> (B, Bm)||() establishes the directed edge A-->B.

Greedy to add attributes to the recommended attribute set, the greedy strategy is to add the attributes referred to by the points with the least inbound edge, the largest outbound, and not in the extended attribute set to the recommended attribute set.

Calculate the extended attribute set and add attributes that satisfy the following conditions to the extended attribute set: 1) the attribute in the recommended attribute set, or 2) the point (attribute) where the entry edge exists and the entry point (attribute) is in the extended attribute set.

Step S103: Acquire an attribute value selected by the user in the recommended attribute set.

The invention establishes a set of quality assurance data system for data entry by monitoring and repairing the input information data, and ensures the consistency of the data form.

The attribute set recommendation apparatus provided by the embodiment of the present invention is an embodiment adopting the method corresponding to the embodiment of FIG. 1.

Specifically include:

The attribute obtaining module 21 is configured to obtain a user input attribute value.

The recommendation module 22 is configured to recommend a set of attributes according to the user input attribute value and the currently recorded attribute value;

The obtaining module 23 is configured to obtain an attribute value selected by the user in the recommended attribute set.

Further, the recommendation module 22 is further configured to:

Further, the selection obtaining module 23 is further configured to:

Further, the device further includes:

The repair module 24 is configured to repair other attribute values to be input according to the attribute value selected by the user.

Further, the repair module 24 is further configured to:

When the repaired reasoning still has some attribute values that cannot determine the remaining attribute values, the notification recommendation module 22 will recalculate the recommended attribute sets for the remaining attributes.

The recommendation module 22 calculates a recommended attribute set by using a preset rule. Rules specify dependencies between attributes, such as rules (A, Am)-> (B, Bm)||() indicates that when the value of the A attribute of the data is determined, then the value of the B attribute can be obtained by using the main data, so if the value of the A attribute is provided to the user for confirmation, the value of the B attribute may not be provided. Using rules to know the dependencies between attributes, you can greedily get a set of attributes for user confirmation.

For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

The various embodiments in the present specification are described in a progressive manner, and each embodiment focuses on differences from other embodiments, and the same similar parts between the various embodiments can be referred to each other.

The above is a further detailed description of the present invention in connection with the specific preferred embodiments, and the specific embodiments of the present invention are not limited to the description. A number of simple derivations or substitutions may be made by those skilled in the art without departing from the inventive concept.

Claims

An attribute set recommendation method, comprising:

Get the user input attribute value;

Recommend a set of attributes based on user input attribute values and current recorded attribute values;

Obtaining the attribute value selected by the user in the recommended attribute set.
The method according to claim 1, wherein the recommending the attribute set according to the user input attribute value and the currently recorded attribute value comprises:

Calculates all attribute values associated with user input attribute values for the current record and recommends a set of attributes.
The method according to claim 2, wherein the obtaining the attribute values selected by the user in the recommended attribute set comprises:

Obtain the attribute value confirmed by the user in the recommended attribute set as the attribute value selected by the user.
The method according to claim 2, wherein the obtaining the attribute value selected by the user in the recommended attribute set further comprises:

The other attribute values to be input are repaired according to the attribute value selected by the user.
The method according to claim 4, wherein the repairing the other attribute values to be input according to the attribute value selected by the user further comprises:

When the repair can determine the remaining attribute values, the remaining attribute values will be fixed;

When some of the attribute values cannot be determined by the repair reasoning, the recommended attribute set will be recalculated for the remaining attributes.
An attribute set recommendation device, comprising:

An attribute obtaining module, configured to obtain a user input attribute value;

a recommendation module, configured to recommend a set of attributes according to a user input attribute value and a current recorded attribute value;

The obtaining module is configured to obtain an attribute value selected by the user in the recommended attribute set.
The device according to claim 6, wherein the recommendation module is further configured to:

Calculates all attribute values associated with user input attribute values for the current record and recommends a set of attributes.
The device according to claim 7, wherein the selection acquisition module is further configured to:

Obtain the attribute value confirmed by the user in the recommended attribute set as the attribute value selected by the user.
The device according to claim 7, wherein the device further comprises:

The repair module is configured to repair other attribute values to be input according to the attribute value selected by the user.
The device according to claim 9, wherein the repair module is further configured to:

When the repair can determine the remaining attribute values, the remaining attribute values will be fixed;

When some of the attribute values cannot be determined by the repair reasoning, the recommendation module will recalculate the recommended attribute set for the remaining attributes.