CN106934679B - Information matching method and device - Google Patents

Information matching method and device Download PDF

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CN106934679B
CN106934679B CN201511016889.3A CN201511016889A CN106934679B CN 106934679 B CN106934679 B CN 106934679B CN 201511016889 A CN201511016889 A CN 201511016889A CN 106934679 B CN106934679 B CN 106934679B
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item information
information set
clustering
matched
item
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CN106934679A (en
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皇甫庆彬
梁佳
刘迪
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Hefei Youquan Information Technology Co ltd
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Youxinpai Beijing Information Technology Co ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0623Item investigation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0623Item investigation
    • G06Q30/0625Directed, with specific intent or strategy
    • G06Q30/0627Directed, with specific intent or strategy using item specifications

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Abstract

The embodiment of the disclosure provides an information matching method and device, wherein the method comprises the following steps: acquiring first item information in a first item information set containing item information to be matched; searching a second item information set associated with the first item information in a preset storage area; and determining the item information in the searched second item information set as candidate item information matched with the item information to be matched. The method provided by the disclosure can automatically determine the candidate item information matched with the item information to be matched, is convenient for a user to perform operations such as selection, confirmation and the like according to the candidate item information, avoids the complex operation that the user selects the item information set to which the item information to be matched belongs step by step during information matching, is simple and convenient to operate, and is convenient for the user to use.

Description

Information matching method and device
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to an information matching method and apparatus.
Background
At present, the brands of automobiles are various, each brand can be divided into a plurality of automobile systems according to different production year generation modes and the like, and each brand can be divided into a plurality of automobile types according to displacement modes and the like, so that the information quantity of the internet is continuously expanded along with the development of information technology, and the information of the brands, manufacturers, automobile systems, automobile types and the like of the automobiles is generally recorded by utilizing an automobile type library when the automobiles are sold.
However, since the manufacturer, consumer and dealer may call different vehicles and models of a certain brand, in the statistics of sales of new vehicles and used vehicles, it is necessary to unify these non-uniform information into the same vehicle model library so as to count the information such as the price and quantity of sales records of a single vehicle model. In actual application, tens of thousands of pieces of vehicle type information may need to be corresponded to another tens of thousands of pieces of vehicle type information, the data volume is very large, and along with the increase of the number of brand vehicle series and vehicle types, when the vehicle of a specific vehicle type in a vehicle type library to be matched needs to be matched into a target matching vehicle type library, the brand, the vehicle series and the vehicle type need to be selected step by step, because the brand, the vehicle series and the vehicle type are numerous, the brand items, the vehicle series items and the vehicle type items expanded by a selector are also numerous, the checking and the screening are needed one by one, the operation process is very complicated and tedious, and time and labor are wasted.
Disclosure of Invention
In order to overcome the problems in the related art, the present disclosure provides an information matching method and apparatus.
According to a first aspect of the embodiments of the present disclosure, there is provided an information matching method, including:
acquiring first item information in a first item information set containing item information to be matched;
searching a second item information set associated with the first item information in a preset storage area;
and determining the item information in the searched second item information set as candidate item information matched with the item information to be matched.
Optionally, the method further comprises:
when a user selects any one candidate item information in a second item information set, acquiring the second item information set;
determining the item information to be matched as first item information;
and storing the first item information, the second item information set and the association relationship of the first item information and the second item information set in a preset storage area.
Optionally, the searching for the second item information set associated with the first item information in the preset storage area includes:
acquiring first item information stored in a preset storage area;
clustering the acquired first item information to obtain at least one clustered item information set;
judging whether the number of clustering item information sets obtained by clustering is larger than a preset threshold value or not;
when the number of the clustered project information sets obtained through clustering is larger than a preset threshold value, counting the number of first project information belonging to each clustered project information set;
acquiring a second item information set associated with first item information in a clustering item information set containing the maximum quantity of first item information;
and determining the acquired second item information set as the searched second item information set associated with the first item information.
Optionally, the searching, in a preset storage area, a second item information set associated with the first item information further includes:
and when the number of the clustered item information sets obtained by clustering is less than or equal to a preset threshold value, directly acquiring a second item information set associated with the first item information in a preset storage area.
Optionally, the method further comprises:
searching a third item information set to which the second item information set belongs;
simulating and receiving the operation of selecting the third item information set and the second item information set by the user;
and displaying the third item information set and the second item information set.
According to a second aspect provided by an embodiment of the present disclosure, there is provided an information matching apparatus, including:
the system comprises a first acquisition module, a second acquisition module and a matching module, wherein the first acquisition module is used for acquiring first item information in a first item information set containing item information to be matched;
the first searching module is used for searching a second item information set related to the first item information in a preset storage area;
and the first determining module is used for determining the item information in the searched second item information set as candidate item information matched with the item information to be matched.
Optionally, the apparatus further comprises:
the second acquisition module is used for acquiring a second item information set when a user selects any one candidate item information in the second item information set;
the second determining module is used for determining the item information to be matched as the first item information;
and the storage module is used for storing the first item information, the second item information set and the association relationship between the first item information and the second item information set in a preset storage area.
Optionally, the first lookup module includes:
the first acquisition submodule is used for acquiring first item information stored in a preset storage area;
the clustering submodule is used for clustering the acquired first item information to obtain at least one clustering item information set;
the judgment submodule is used for judging whether the number of the clustering item information sets obtained by clustering is larger than a preset threshold value or not;
a statistic submodule for counting the second cluster item information sets when the number of cluster item information sets obtained by clustering is greater than a preset threshold
The quantity of a project message;
the second obtaining submodule is used for obtaining a second item information set related to the first item information in the clustering item information set containing the largest quantity of the first item information;
and the determining submodule is used for determining the acquired second item information set as the searched second item information set associated with the first item information.
Optionally, the first lookup module further includes:
and the third obtaining sub-module is used for directly obtaining a second item information set associated with the first item information in a preset storage area when the number of the clustered item information sets obtained by clustering is less than or equal to a preset threshold value.
Optionally, the apparatus further comprises:
the second searching module is used for searching a third item information set to which the second item information set belongs;
the simulation module is used for simulating and receiving the operation of selecting the third item information set and the second item information set by the user;
and the display module is used for displaying the third item information set and the second item information set.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
according to the method and the device, the first item information in the first item information set containing the item information to be matched is obtained, the second item information set related to the first item information is searched in the preset storage area, and the searched item information in the second item information set can be determined as the candidate item information matched with the item information to be matched.
The method provided by the disclosure can automatically determine the candidate item information matched with the item information to be matched, is convenient for a user to perform operations such as selection, confirmation and the like according to the candidate item information, avoids the complex operation that the user selects the item information set to which the item information to be matched belongs step by step during information matching, is simple and convenient to operate, and is convenient for the user to use.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a flow chart illustrating a method of information matching according to an exemplary embodiment;
FIG. 2 is another flow diagram illustrating a method of information matching in accordance with an exemplary embodiment;
FIG. 3 is a flowchart of step S102 in FIG. 1;
FIG. 4 is another flow chart illustrating a method of information matching in accordance with an exemplary embodiment;
fig. 5 is a block diagram illustrating an information matching apparatus according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
As shown in fig. 1, in one embodiment of the present disclosure, there is provided an information matching method including the following steps.
In step S101, first item information in a first item information set including item information to be matched is acquired.
In the embodiment of the present disclosure, the first item information set may refer to a brand and a train, such as a snowdrop dragon segja Cross, where the item information to be matched and at least one first item information may be included, and the item information to be matched may be vehicle type information, for example: the first item information may be 2013, 1.6L manual, 2013, 1.6L automatic, and the like.
In this step, a first item information set to which the item information to be matched belongs may be searched first, and then all or part of the first item information except the item information to be matched is searched in the first item information set, and the range may be set according to specific situations.
In step S102, a second item information set associated with the first item information is searched in a preset storage area.
In the embodiment of the present disclosure, the preset storage area may be configured to store a pair of already associated first item information and second item information sets, and the preset storage area stores at least a pair of already associated first item information and second item information sets, where the association may refer to an association relationship established between the first item information and the second item information set after a user matches the first item information with item information in the second item information set, the second item information set may be a vehicle series in a target matching vehicle type library, and the item information in the second item information set may be a vehicle type in the vehicle series.
In this step, the acquired first item information may be compared with first item information in the preset storage area, and when the acquired first item information is the same as any one of the first item information in the preset storage area, it may be determined that the matched first item information and a second item information set associated with the first item information have been stored in the preset storage area.
In step S103, the item information in the searched second item information set is determined as candidate item information matching the item information to be matched.
In this step, the item information in the second item information set may include item information that matches the first item information and item information that does not match the first item information, or may also include item information that does not match the first item information, where matching may refer to any item information that is selected by the user from all candidate item information according to the information to be matched, so that a matching relationship may be formed between the information to be matched and the item information selected by the user, for example, the second item information set includes a and B that match the first item information, and the second item information set may be { a, B }, where B may be used alone as candidate item information, or a and B may be used together as candidate item information, and may be specifically set according to actual needs.
The method provided by the embodiment of the disclosure can automatically determine the candidate item information matched with the item information to be matched, is convenient for a user to perform operations such as selection, confirmation and the like according to the candidate item information, avoids the complex operation of selecting the item information set to which the item information to be matched belongs step by step when the user performs information matching, is simple and convenient to operate, and is convenient for the user to use.
In yet another embodiment of the present disclosure, as shown in fig. 2, the method further comprises the following steps.
In step S201, when the user selects any one of the candidate item information in the second item information set, the second item information set is acquired.
In this step, it may be first detected whether the user has selected candidate item information in the second item information set, and when it is detected that the user has selected any one of the candidate item information, the second item information set is acquired.
In step S202, the item information to be matched is determined as first item information.
In step S203, the first item information, the second item information set and the association relationship between the first item information and the second item information set are stored in a preset storage area.
In this step, the first item information and the second item information set may be stored in a table manner, or the like.
According to the method provided by the embodiment of the disclosure, the associated first item information and second item information sets can be stored in the preset storage area, so that the associated second item information sets can be conveniently searched according to the first item information.
As shown in fig. 3, in a further embodiment of the present disclosure, the step S102 includes the following steps.
In step S301, first item information stored in a preset storage area is acquired.
In practical application, after a user matches information of an item to be matched with information of a candidate item for multiple times, a plurality of associated sets of first item information and second item information are stored in a preset storage area, so that all first item information in the preset storage area can be acquired.
In step S302, the acquired first item information is clustered to obtain at least one clustered item information set.
In this step, the first item information in the preset storage area may be divided into at least one cluster item information set in a clustering manner.
In step S303, it is determined whether the number of clustered item information sets obtained by clustering is greater than a preset threshold.
In the embodiment of the present disclosure, since the first item information set may include a plurality of pieces of first item information, as the number of matching times increases, the number of pieces of first item information already associated in the first item information set increases, the number of pieces of first item information that can be found in the preset storage area increases accordingly, so that a situation that the preset storage area includes a plurality of pieces of first item information occurs, and the preset threshold may be 1, and the like.
In this step, the number of the clustered item information sets may be counted, and compared with a preset threshold.
When the number of clustered item information sets obtained by clustering is greater than a preset threshold, in step S304, the number of first item information belonging to each clustered item information set is counted.
For example, if the cluster item information set a includes the first item information O, P and Q, the number of the first item information in the cluster item information set a is 3.
In step S305, a second item information set associated with the first item information in the clustered item information set containing the largest amount of the first item information is acquired.
In this step, the clustered item information set containing the largest amount of first item information may be found first, for example: the number of the first item information in the clustering item information set A is 3, the number of the first item information in the clustering item information set B is 5, the number of the first item information in the clustering item information set B is the largest, then any one of the first item information in the clustering item information set containing the largest number of the first item information is obtained, and then a second item information set related to the first item information is searched.
In step S306, the obtained second item information set is determined as the found second item information set associated with the first item information.
When the number of clustered item information sets obtained by clustering is less than or equal to a preset threshold, in step S307, a second item information set associated with the first item information is directly obtained in a preset storage area.
The method provided by the embodiment of the disclosure can determine, when first item information in a first item information set belongs to a plurality of clustered item information sets, a second item information set associated with first item information in a clustered item information set containing the largest quantity of first item information as a second item information set associated with the first item information that is found.
In yet another embodiment of the present disclosure, as shown in fig. 4, the method further comprises the following steps.
In step S401, a third item information set to which the second item information set belongs is searched.
In an embodiment of the present disclosure, the second item information set may be a subset of a third item information set, for example: the second item information set is { A }, the third item information set is { { A }, { B } }, the third item information set can be the brand of the automobile in the automobile type library, and the second item information set can be the automobile series of the automobile in the automobile type library.
In step S402, an operation of selecting the third item information set and the second item information set by the user is simulated and received.
In this step, an operation that has received a user selection of the third item information set and the second item information set may be simulated in the background, and the processing program that has received the selection operation may be executed.
In step S403, the third item information set and the second item information set are displayed.
In this step, the third item information set and the second item information set may be displayed in a list or the like on the display interface.
The method provided by the embodiment of the disclosure can automatically display the third item information set and the second item information set, so that a user can select candidate item information to be selected from the displayed second item information conveniently, operation procedures of various sets to which the user belongs need to be expanded layer by layer when the user needs to select the lowest-level item information in the past are saved, the operation is simple and convenient, and the time and energy of the user are saved.
As shown in fig. 5, in still another embodiment of the present disclosure, there is provided an information matching apparatus including: a first obtaining module 501, a first searching module 502 and a first determining module 503.
A first obtaining module 501, configured to obtain first item information in a first item information set that includes information of an item to be matched.
A first searching module 502, configured to search a preset storage area for a second item information set associated with the first item information.
A first determining module 503, configured to determine the item information in the searched second item information set as candidate item information matched with the item information to be matched.
In yet another embodiment of the present disclosure, the apparatus further comprises: the device comprises a second acquisition module, a second determination module and a storage module.
And the second acquisition module is used for acquiring the second item information set when the user selects any one candidate item information in the second item information set.
And the second determining module is used for determining the item information to be matched as the first item information.
And the storage module is used for storing the first item information, the second item information set and the association relationship between the first item information and the second item information set in a preset storage area.
In yet another embodiment of the present disclosure, the first lookup module includes: the device comprises a first obtaining submodule, a clustering submodule, a judging submodule, a counting submodule, a second obtaining submodule, a determining submodule and a third obtaining submodule.
And the first acquisition submodule is used for acquiring the first item information stored in the preset storage area.
And the clustering submodule is used for clustering the acquired first item information to obtain at least one clustering item information set.
And the judgment submodule is used for judging whether the number of the clustering item information sets obtained by clustering is greater than a preset threshold value.
And the counting submodule is used for counting the number of the first item information belonging to each clustering item information set when the number of the clustering item information sets obtained by clustering is greater than a preset threshold value.
And the second acquisition submodule is used for acquiring a second item information set associated with the first item information in the clustering item information set containing the maximum quantity of the first item information.
And the determining submodule is used for determining the acquired second item information set as the searched second item information set associated with the first item information.
And the third obtaining sub-module is used for directly obtaining a second item information set associated with the first item information in a preset storage area when the number of the clustered item information sets obtained by clustering is less than or equal to a preset threshold value.
In yet another embodiment of the present disclosure, the apparatus further comprises: the device comprises a second searching module, a simulation module and a display module.
The second searching module is used for searching a third item information set to which the second item information set belongs;
the simulation module is used for simulating and receiving the operation of selecting the third item information set and the second item information set by the user;
and the display module is used for displaying the third item information set and the second item information set.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims (2)

1. An information matching method, comprising:
searching a first item information set to which item information to be matched belongs;
searching all first item information except the item information to be matched in the first item information set;
searching a second item information set associated with the first item information in a preset storage area; the preset storage area is used for storing the associated first item information and second item information sets in a pair manner;
determining the item information in the searched second item information set as candidate item information matched with the item information to be matched;
searching a third item information set to which the second item information set belongs;
simulating and receiving the operation of selecting the third item information set and the second item information set by the user;
displaying the third item information set and the second item information set;
when a user selects any candidate item information in a second item information set, acquiring the second item information set;
determining the item information to be matched as first item information;
acquiring first item information stored in a preset storage area;
clustering the acquired first item information to obtain at least one clustered item information set;
judging whether the number of clustering item information sets obtained by clustering is larger than a preset threshold value or not;
when the number of the clustered project information sets obtained through clustering is larger than a preset threshold value, counting the number of first project information belonging to each clustered project information set; acquiring a second item information set associated with first item information in a clustering item information set containing the maximum quantity of first item information; determining the acquired second item information set as a searched second item information set associated with the first item information;
when the number of the clustered project information sets obtained by clustering is less than or equal to a preset threshold value, directly acquiring a second project information set associated with the first project information in a preset storage area;
and storing the first item information, the second item information set and the association relationship of the first item information and the second item information set in a preset storage area.
2. An information matching apparatus, comprising:
the first acquisition module is used for searching a first item information set to which the item information to be matched belongs; searching all first item information except the item information to be matched in the first item information set;
the first searching module is used for searching a second item information set related to the first item information in a preset storage area; the preset storage area is used for storing the associated first item information and second item information sets in a pair manner; the first determining module is used for determining the item information in the searched second item information set as candidate item information matched with the item information to be matched;
the second searching module is used for searching a third item information set to which the second item information set belongs;
the simulation module is used for simulating and receiving the operation of selecting the third item information set and the second item information set by the user;
the display module is used for displaying the third item information set and the second item information set;
the second acquisition module is used for acquiring a second item information set when a user selects any one candidate item information in the second item information set;
the second determining module is used for determining the item information to be matched as the first item information;
the storage module is used for storing the first item information, the second item information set and the association relation between the first item information and the second item information set into a preset storage area;
the first lookup module comprises:
the first acquisition submodule is used for acquiring first item information stored in a preset storage area;
the clustering submodule is used for clustering the acquired first item information to obtain at least one clustering item information set;
the judgment submodule is used for judging whether the number of the clustering item information sets obtained by clustering is larger than a preset threshold value or not;
the counting submodule is used for counting the number of first item information belonging to each clustering item information set when the number of clustering item information sets obtained through clustering is larger than a preset threshold value;
the second obtaining submodule is used for obtaining a second item information set related to the first item information in the clustering item information set containing the largest quantity of the first item information;
the third obtaining submodule is used for directly obtaining a second item information set related to the first item information in a preset storage area when the number of the clustered item information sets obtained through clustering is smaller than or equal to a preset threshold value;
and the determining submodule is used for determining the acquired second item information set as the searched second item information set associated with the first item information.
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