CN113806597A - Financial search system and method based on graph database - Google Patents

Financial search system and method based on graph database Download PDF

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Publication number
CN113806597A
CN113806597A CN202111061426.4A CN202111061426A CN113806597A CN 113806597 A CN113806597 A CN 113806597A CN 202111061426 A CN202111061426 A CN 202111061426A CN 113806597 A CN113806597 A CN 113806597A
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search
financial
financial products
graph database
search result
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Chinese (zh)
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张晨
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Zhejiang Create Link Technology Co ltd
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Zhejiang Create Link Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/901—Indexing; Data structures therefor; Storage structures
    • G06F16/9024—Graphs; Linked lists
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/9035—Filtering based on additional data, e.g. user or group profiles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/9038—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/03—Credit; Loans; Processing thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Asset management; Financial planning or analysis

Abstract

The invention provides a financial search system and method based on a graph database, wherein the system comprises the graph database: constructing by using a graph data technology; the map database is used for storing a plurality of financial products, wherein each financial product comprises a plurality of characteristics, and the financial products are related to one or more different financial products through at least one characteristic; a search module: the database management system is used for receiving search conditions and searching the database according to the search conditions to obtain search results; a display module: for displaying the search results. The system can display the financial product with higher matching degree and other financial products related to the financial product according to the searching condition, so that the user can search the financial product with higher matching degree or other financial products which are the same with the financial product on certain characteristic during searching, the searching capability is enhanced, the user experience is improved, and the diversified requirements of the user on the financial product searching are met.

Description

Financial search system and method based on graph database
Technical Field
The invention belongs to the technical field of finance, and particularly relates to a financial search system and method based on a graph database.
Background
Currently, most systems in the financial field only support searching financial products according to keywords, for example, searching financial products according to the financial product name keywords, the manager name or the financial product code, and displaying the searched financial products.
However, with the popularization of various intelligent systems, people not only can meet the financial search system with a single function, but also hope that the financial search system can realize more intelligent searches and improve user experience.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a financial search system and method based on a graph database, which improve the user experience.
In a first aspect, a graph database based financial search system, comprising:
graph database: constructing by using a graph data technology; the map database is used for storing a plurality of financial products, wherein each financial product comprises a plurality of characteristics, and the financial products are related to one or more different financial products through at least one characteristic;
a search module: the database management system is used for receiving search conditions and searching the database according to the search conditions to obtain search results;
a display module: for displaying the search results.
Preferably, the features include at least one of:
manager, affiliated panel, investment type, risk level, affiliated company, income, maximum withdrawal, performance, fall resistance, risk return, profitability.
Preferably, at least one of said characteristics of two of said financial products associated with each other in said graph database is the same.
Preferably, the search results comprise a first search result and a second search result;
the search module is specifically configured to:
analyzing the search condition to obtain at least one search feature in the search condition;
matching the graph database according to the search features, and increasing the matching degree of the financial products by 1 when the search features are the same as the features of the financial products in the graph database;
sorting all financial products according to the sequence of the matching degrees from large to small, and defining the first N financial products as the first search result, wherein N is an integer;
financial products associated with the financial products of the first search result are respectively obtained, and the associated financial products are defined as the second search result.
Preferably, the display module is provided with a first display interface and a second display interface which are on the same screen;
the first display interface is used for displaying the financial products in the first search result according to the sequence of the matching degree from large to small;
the second display interface is used for correspondingly acquiring the related financial product in the second search result when the financial product in the first search result is selected, and displaying the related financial product.
In a second aspect, a method for financial searching based on a graph database includes the steps of:
constructing a graph database by utilizing a graph data technology; the map database is used for storing a plurality of financial products, wherein each financial product comprises a plurality of characteristics, and the financial products are related to one or more different financial products through at least one characteristic;
the search module receives search conditions and searches the graph database according to the search conditions to obtain search results;
and the display module displays the search result.
Preferably, the features include at least one of:
manager, affiliated panel, investment type, risk level, affiliated company, income, maximum withdrawal, performance, fall resistance, risk return, profitability.
Preferably, at least one of said characteristics of two of said financial products associated with each other in said graph database is the same.
Preferably, the search results comprise a first search result and a second search result;
the searching module searches the graph database according to the searching condition to obtain a searching result specifically comprises:
analyzing the search condition to obtain at least one search feature in the search condition;
matching the graph database according to the search features, and increasing the matching degree of the financial products by 1 when the search features are the same as the features of the financial products in the graph database;
sorting all financial products according to the sequence of the matching degrees from large to small, and defining the first N financial products as the first search result, wherein N is an integer;
financial products associated with the financial products of the first search result are respectively obtained, and the associated financial products are defined as the second search result.
Preferably, the display module is provided with a first display interface and a second display interface which are on the same screen;
the first display interface is used for displaying the financial products in the first search result according to the sequence of the matching degree from large to small;
the second display interface is used for correspondingly acquiring the related financial product in the second search result when the financial product in the first search result is selected, and displaying the related financial product.
According to the technical scheme, the financial product with higher matching degree and other financial products related to the financial product can be displayed according to the searching condition, so that the financial product with higher matching degree or other financial products which are the same with the financial product on certain characteristic can be searched by a user during searching, the searching capability is enhanced, the user experience is improved, and the diversified requirements of the user on the financial product searching are met.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a block diagram of a financial search system according to an embodiment of the present invention.
Fig. 2 is a flowchart of a financial search method according to a second embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby. It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
The first embodiment is as follows:
a financial search system based on a graph database, see fig. 1, comprising:
graph database: constructing by using a graph data technology; the map database is used for storing a plurality of financial products, wherein each financial product comprises a plurality of characteristics, and the financial products are related to one or more different financial products through at least one characteristic;
a search module: the database management system is used for receiving search conditions and searching the database according to the search conditions to obtain search results;
a display module: for displaying the search results.
In particular, financial products are related by features in a graph database. Assuming that the features of financial product A include feature A1, feature B1, and feature C1, the features of financial product B include feature A1, feature B1, and feature C2, the features of financial product C include feature A1, feature B2, and feature C3, and the features of financial product D include feature A2, feature B1, and feature C4, the relationship between these four financial products is: financial product A is associated with financial product B by feature A1 and feature B1, financial product A is associated with financial product C by feature A1, financial product A is associated with financial product D by feature B1, financial product B is associated with financial product C by feature A1, and financial product B is associated with financial product D by feature B1. It can be seen that when there is an identical feature in two financial products stored in the graph database, the two financial products can be associated, wherein the strength of association is related to the number of identical features, and the greater the number, the stronger the strength of association.
When used by a user, the search condition is first entered, for example, the entered search condition includes a feature a1 and a feature C4. And then matching the financial products of the graph database according to the search conditions to obtain and display the search results. The system can display the financial product with higher matching degree and other financial products related to the financial product according to the searching condition, so that the user can search the financial product with higher matching degree or other financial products which are the same with the financial product on certain characteristic during searching, the searching capability is enhanced, the user experience is improved, and the diversified requirements of the user on the financial product searching are met.
The graph database of the system is stored by adopting the following two ways: a sequential storage structure (sequence table) and a chained storage structure (linked list). The sequence table is characterized in that logically adjacent nodes are stored in physically adjacent storage units, and the logical relationship among the nodes is represented by the adjacency relationship of the storage units. In the linked list, the logically adjacent data elements are not necessarily adjacent to the physical storage positions, and the logical relationship between the elements is realized by pointers. In addition, the storage space of the sequence table needs to be allocated in advance, and the storage space of the linked list is dynamically allocated.
In a linear table, data elements are concatenated with only a linear relationship, each element having only one direct predecessor and successor. Therefore, the linear table can be stored by a sequence table or a linked list, and a specific choice of which kind needs to be taken into consideration, such as language environment, storage space, calculation time and the like.
In the tree structure, data elements have a hierarchical relationship and can be related to only one element at the upper layer, and possibly a plurality of elements at the lower layer. Neither a simple sequence table nor a linked list can be used, but the combination of the two can be well realized. There are three common methods, the parent representation (parent positions stored in nodes), child representation (multiple linked lists), and sibling representation (two pointers pointing to the first child and the right sibling, respectively).
Preferably, the features include at least one of:
manager, affiliated panel, investment type, risk level, affiliated company, income, maximum withdrawal, performance, fall resistance, risk return, profitability.
In particular, the financial product may be a fund, stock, security, financing, or the like. Different types of financial products have different characteristics. The plates comprise white spirit, new energy, chips, banks and the like. The types of investments include stocks, funds, securities, financing, and the like. The risk classes include low risk, high risk, medium risk, and the like. The company is a company that delivers financial products.
Preferably, at least one of said characteristics of two of said financial products associated with each other in said graph database is the same.
Specifically, two financial products in a graph database may be associated by one feature or by multiple features.
Preferably, the search results comprise a first search result and a second search result;
the search module is specifically configured to:
analyzing the search condition to obtain at least one search feature in the search condition;
matching the graph database according to the search features, and increasing the matching degree of the financial products by 1 when the search features are the same as the features of the financial products in the graph database;
sorting all financial products according to the sequence of the matching degrees from large to small, and defining the first N financial products as the first search result, wherein N is an integer;
financial products associated with the financial products of the first search result are respectively obtained, and the associated financial products are defined as the second search result.
Specifically, the system confirms the matching degree of the financial products according to the same number as the search features when performing the search. For example, it is assumed that the features parsed from the search condition include search feature 1, search feature 2, and search feature 3. The method comprises the steps of firstly, matching financial products in a database by using a search characteristic 1, matching the financial products with the same characteristics as the search characteristic 1 in the matching process of the search characteristic 1, wherein the financial products comprise the financial products 1 and the financial products 2, and setting the matching degree of the financial products 1 and the financial products 2 to be increased to 1. And then matching the financial products in the database by using the search feature 2, wherein in the matching process with the search feature 2, the financial products matched with the same feature as the search feature 2 comprise the financial products 2, and the matching degree of the financial products 2 is set to 2. And finally, matching the financial products in the database by using the search feature 3, wherein in the matching process of the search feature 3, the financial products with the same features as the search feature 3 comprise the financial products 3, and the matching degree of the financial products 3 is set to 1. So the match degrees of the 3 financial products obtained finally are as follows: the matching degree of the financial product 1 is 1, the matching degree of the financial product 2 is 2, and the matching degree of the financial product 3 is 1.
And then sorting according to the sequence from the big matching degree to the small matching degree, wherein the obtained sorting sequence is financial products 2, financial products 1 and financial products 3. Assuming that the financial product with the highest matching degree is to be pushed to the user, the financial product 2 is defined as the first search result. Defining the other financial products associated with financial product 2 as the second search result, and finally pushing financial product 2 to the user for display together with the other financial products associated with financial product 2. Assuming that the first search results obtained subsequently are financial product 2 and financial product 1, the second search results pushed include other financial products associated with financial product 2 and other financial products associated with financial product 1.
Preferably, the display module is provided with a first display interface and a second display interface which are on the same screen;
the first display interface is used for displaying the financial products in the first search result according to the sequence of the matching degree from large to small;
the second display interface is used for correspondingly acquiring the related financial product in the second search result when the financial product in the first search result is selected, and displaying the related financial product.
Specifically, when the system displays, the first search result and the second search result are displayed separately on the same screen, the first search result is displayed through the first display interface, and the second search result is displayed through the second display interface. For example, assuming that the financial products displayed by the first display interface include financial product 2 and financial product 1, when the user selects financial product 2 in the first display interface, the second display interface displays other financial products associated with financial product 2. When the user selects the financial product 1 in the first display interface, the second display interface displays other financial products associated with the financial product 1. Therefore, the system can simultaneously display the financial product with higher matching degree and other financial products related to the financial product on the same screen, and is convenient for users to use.
The first display interface and the second display interface are achieved through the same screen multi-task. For example, when the display module runs at least one task currently, the current user operation information is detected, and if the display module detects that the user sends a multi-task simultaneous running command, the display module suspends all the current tasks on a screen in a form of a thumbnail window; otherwise, continuously detecting the user operation information, and performing split screen playing on all tasks. When the display module detects that a user sends a window operation command for split-screen playing, the size of a window played in the split-screen mode can be adjusted at will, and the window can be closed independently by the user.
And meanwhile, the display module judges the priority of the audio data of all the tasks, plays the audio data with the highest priority, and plays the audio data of the opened tasks after judging that the priority of the audio data of the tasks is the same. And when the display module plays the audio data of the current task, other tasks default to a mute state. Of course, the user may also autonomously control the playback of audio data for all tasks.
Example two:
a method of financial searching based on a graph database, see fig. 2, comprising the steps of:
constructing a graph database by utilizing a graph data technology; the map database is used for storing a plurality of financial products, wherein each financial product comprises a plurality of characteristics, and the financial products are related to one or more different financial products through at least one characteristic;
the search module receives search conditions and searches the graph database according to the search conditions to obtain search results;
and the display module displays the search result.
Preferably, the features include at least one of:
manager, affiliated panel, investment type, risk level, affiliated company, income, maximum withdrawal, performance, fall resistance, risk return, profitability.
Preferably, at least one of said characteristics of two of said financial products associated with each other in said graph database is the same.
Preferably, the search results comprise a first search result and a second search result;
the searching module searches the graph database according to the searching condition to obtain a searching result specifically comprises:
analyzing the search condition to obtain at least one search feature in the search condition;
matching the graph database according to the search features, and increasing the matching degree of the financial products by 1 when the search features are the same as the features of the financial products in the graph database;
sorting all financial products according to the sequence of the matching degrees from large to small, and defining the first N financial products as the first search result, wherein N is an integer;
financial products associated with the financial products of the first search result are respectively obtained, and the associated financial products are defined as the second search result.
Preferably, the display module is provided with a first display interface and a second display interface which are on the same screen;
the first display interface is used for displaying the financial products in the first search result according to the sequence of the matching degree from large to small;
the second display interface is used for correspondingly acquiring the related financial product in the second search result when the financial product in the first search result is selected, and displaying the related financial product.
For the sake of brief description, the method provided by the embodiment of the present invention may refer to the corresponding contents in the foregoing embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.

Claims (10)

1. A financial search system based on a graph database, comprising:
graph database: constructing by using a graph data technology; the map database is used for storing a plurality of financial products, wherein each financial product comprises a plurality of characteristics, and the financial products are related to one or more different financial products through at least one characteristic;
a search module: the database management system is used for receiving search conditions and searching the database according to the search conditions to obtain search results;
a display module: for displaying the search results.
2. The database-based financial search system of claim 1,
the features include at least one of:
manager, affiliated panel, investment type, risk level, affiliated company, income, maximum withdrawal, performance, fall resistance, risk return, profitability.
3. The database-based financial search system of claim 2,
at least one of the characteristics of two of the financial products that are related to each other in the graph database are the same.
4. The database-based financial search system of claim 3,
the search results comprise a first search result and a second search result;
the search module is specifically configured to:
analyzing the search condition to obtain at least one search feature in the search condition;
matching the graph database according to the search features, and increasing the matching degree of the financial products by 1 when the search features are the same as the features of the financial products in the graph database;
sorting all financial products according to the sequence of the matching degrees from large to small, and defining the first N financial products as the first search result, wherein N is an integer;
financial products associated with the financial products of the first search result are respectively obtained, and the associated financial products are defined as the second search result.
5. The database-based financial search system of claim 4,
the display module is provided with a first display interface and a second display interface which are on the same screen;
the first display interface is used for displaying the financial products in the first search result according to the sequence of the matching degree from large to small;
the second display interface is used for correspondingly acquiring the related financial product in the second search result when the financial product in the first search result is selected, and displaying the related financial product.
6. A method for financial searching based on a graph database, comprising the steps of:
constructing a graph database by utilizing a graph data technology; the map database is used for storing a plurality of financial products, wherein each financial product comprises a plurality of characteristics, and the financial products are related to one or more different financial products through at least one characteristic;
the search module receives search conditions and searches the graph database according to the search conditions to obtain search results;
and the display module displays the search result.
7. The method for financial searching based on a graph database according to claim 6,
the features include at least one of:
manager, affiliated panel, investment type, risk level, affiliated company, income, maximum withdrawal, performance, fall resistance, risk return, profitability.
8. The method for financial searching based on a graph database according to claim 7,
at least one of the characteristics of two of the financial products that are related to each other in the graph database are the same.
9. The method for financial searching based on a graph database according to claim 8,
the search results comprise a first search result and a second search result;
the searching module searches the graph database according to the searching condition to obtain a searching result specifically comprises:
analyzing the search condition to obtain at least one search feature in the search condition;
matching the graph database according to the search features, and increasing the matching degree of the financial products by 1 when the search features are the same as the features of the financial products in the graph database;
sorting all financial products according to the sequence of the matching degrees from large to small, and defining the first N financial products as the first search result, wherein N is an integer;
financial products associated with the financial products of the first search result are respectively obtained, and the associated financial products are defined as the second search result.
10. The method for financial searching based on a graph database according to claim 9,
the display module is provided with a first display interface and a second display interface which are on the same screen;
the first display interface is used for displaying the financial products in the first search result according to the sequence of the matching degree from large to small;
the second display interface is used for correspondingly acquiring the related financial product in the second search result when the financial product in the first search result is selected, and displaying the related financial product.
CN202111061426.4A 2021-09-10 2021-09-10 Financial search system and method based on graph database Pending CN113806597A (en)

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