TWM622312U - Fund recommendation system based on investment intention - Google Patents

Abstract

This new type of fund recommendation system based on investment intention is developed, which integrates and generates a fund recommendation list according to the fund categories that users have subscribed for or intends to subscribe for. or manager seniority for fund ranking. Further, the system will select funds with prominent rankings according to the fund recommendation list, generate fund recommendation messages, and transmit them to users for reference to subscribe for other funds.

Description

Fund recommendation system based on investment intention

The new model relates to a fund recommendation system, in particular to a fund recommendation system based on a user's investment intention.

In fund investment, the general public, without the assistance of a wealth management professional, often chooses a specific type of fund for subscription based on their own investment intentions, such as investing in financial products, investment industries, and investment areas. However, the same type of funds may be issued by various financial institutions or fund companies, and the general public often does not know which fund to choose for subscription.

In addition, the general public often spends extra time to compare funds when they do not know which fund to subscribe for, and when the general public is unable to subscribe for funds, financial institutions or fund companies will not receive corresponding funds. profit.

Accordingly, how to develop a fund that can provide investors with better performance of the same type in real time according to investors' investment intentions has become a problem to be solved in the technical field.

In order to solve the above-mentioned problems, the present invention provides a fund recommendation system based on investment intention, which is aimed at users of financial institutions when they connect to the platform for executing fund subscription through any user device (for example: Internet banking, fund trading applications) , based on the above-mentioned user's subscribed fund information and the fund information to be subscribed, first analyze the fund types of their fund information, such as: investment financial products, investment industries and investment areas; and then further compare the above-mentioned fund types. For example: performance, popularity, fund size, sales volume or manager seniority and ranking; finally, provide users with objective data analysis results to determine their own fund investment layout.

Specifically, according to an embodiment, the above-mentioned fund recommendation system based on investment intention provides at least one user to connect with a user device signal. The above-mentioned fund recommendation system based on investment intention includes a database and a bank server.

According to another embodiment, the above-mentioned database is used for storing a plurality of fund data, and correspondingly generating a fund recommendation list according to the fund screening instruction. The above database includes a fund data storage module for storing the above fund data.

According to yet another embodiment, the bank server is connected to the user device and the database by a signal, and is used for returning a fund recommendation message to the user device according to the funds that the user has subscribed for and the funds to be subscribed for, to the bank server. Including fund management module, profit and loss query module, subscription module, fund comparison module and push broadcast module.

The above-mentioned fund management module, the signal is connected to the above-mentioned user device, and is used for providing the above-mentioned user to query the profit and loss of the subscribed fund and execute the newly subscribed fund. Wherein, when the above-mentioned fund management module executes the above-mentioned inquiry about the profit and loss of the subscribed fund, an inquiry instruction will be generated. Wherein, when the above-mentioned fund management module executes the above-mentioned new subscription fund, a subscription instruction will be generated.

The above-mentioned profit and loss inquiry module, the signal is connected to the above-mentioned fund management module, and is used for correspondingly generating the subscribed fund information according to the above-mentioned inquiry instruction.

The above-mentioned subscription module is connected to the above-mentioned fund management module by a signal, and is used for correspondingly generating the information of the funds to be subscribed for according to the above-mentioned subscription instruction, and correspondingly generating a fund recommendation list according to the fund screening instruction.

The above-mentioned fund comparison module, the signal is connected to the above-mentioned profit and loss inquiry module, the above-mentioned subscription module and the above-mentioned database, and is used for generating a fund screening instruction according to the above-mentioned fund type information contained in the above-mentioned fund subscription information or the above-mentioned fund information to be subscribed for. Wherein, when the above-mentioned fund screening instruction is transmitted to the above-mentioned database, the above-mentioned database will generate a corresponding fund recommendation list according to the above-mentioned fund category.

The above-mentioned push broadcasting module is connected to the above-mentioned database by a signal, and is used for generating a fund recommendation message according to the above-mentioned fund recommendation list, so as to send it back to the above-mentioned user device.

According to another embodiment, the above-mentioned fund categories include investment in financial commodities, investment in industries, and investment areas.

According to another embodiment, the above-mentioned database further includes performing fund ranking on the above-mentioned fund recommendation list according to a value including performance, popularity, fund size, sales volume or managerial experience.

According to another embodiment, the transmission method of the above-mentioned fund recommendation message includes pushing and broadcasting on an online banking window, a telecommunication short message and a communication software message.

According to another embodiment, the database further includes a fund data update module, and the signal is connected to the fund data storage module for updating the fund data.

According to another embodiment, updating the above-mentioned fund information includes connecting a network domain of the fund company through the Internet to obtain the above-mentioned fund information.

To sum up, the embodiments of the present invention can achieve the following effects.

(1) The biggest difference between the new fund recommendation system based on investment intention and the previous fund recommendation model is that in the past, popular funds were simply promoted to users, and users may not know enough about the funds being promoted, so that The willingness to subscribe is not high; and the new system analyzes the funds that the user has subscribed for or wants to subscribe for, and obtains the fund categories that the user is interested in, and then accurately recommends the funds of the corresponding fund category to the user, which can greatly increase the number of users. willingness to purchase.

(2) Furthermore, the fund recommendation list generated by this system can also rank funds based on performance, popularity, fund size, sales volume or manager's seniority. According to the preset settings, the top ten or top three funds can be selected to be included in the above fund recommendation information, so as to recommend high-quality funds to users more concisely.

(3) Through the funds recommended by the system according to the user's purchase intention, not only more objective and high-quality funds are provided to the user, so as to increase the user's purchase willingness, and thus increase the income of the financial unit handling the fund.

In order to describe the various embodiments of the present invention more specifically, the following description is supplemented by the accompanying drawings.

Please refer to Figure 1. FIG. 1 is a schematic structural diagram of a fund recommendation system based on investment intention according to an embodiment of the present invention. According to an embodiment, in FIG. 1 , the investment intention-based fund recommendation system 100 provides at least one user to connect with the user device 200 signal. The above investment intention-based fund recommendation system 100 includes a database 120 and a bank server 140 . The above-mentioned user device 200 can be, for example, a desktop computer, a notebook computer, a tablet computer, and a smart phone. The above-mentioned database 120 can be, for example, a computer device with a data access function and capable of data processing and network connection. The above-mentioned bank server 140 can be, for example, a server host, a leased cloud host, or a service device formed by a combination of multiple hosts, and is capable of data processing and network connection.

According to another embodiment, the above-mentioned database 120 is used for storing a plurality of fund data, and correspondingly generating a fund recommendation list according to the fund screening instruction. The database 120 includes a fund data storage module 121 for storing the fund data.

According to yet another embodiment, the bank server 140 is connected to the user device 200 and the database 120 by signals, so as to return a fund recommendation message to the user device 200 according to the funds subscribed by the user and the funds to be subscribed. The above-mentioned bank server 140 includes a fund management module 141 , a profit and loss query module 142 , a subscription module 143 , a fund comparison module 144 and a push broadcast module 145 . The detailed description of each module is as follows.

The above-mentioned fund management module 141 is connected to the above-mentioned user device 200 by a signal, so as to provide the above-mentioned user to execute the query of the profit and loss of the subscribed fund and to execute the newly subscribed fund. Wherein, when the above-mentioned fund management module 141 executes the above-mentioned inquiry about the subscribed fund profit and loss, an inquiry instruction will be generated. Wherein, when the above-mentioned fund management module 141 executes the above-mentioned new fund subscription, a subscription instruction will be generated.

The above-mentioned profit and loss inquiry module 142 is connected to the above-mentioned fund management module 141 by a signal, and is used for correspondingly generating the subscribed fund information according to the above-mentioned inquiry instruction.

The above-mentioned subscription module 143 is connected to the above-mentioned fund management module 141 by a signal, and is used for correspondingly generating the information of the fund to be subscribed for according to the above-mentioned subscription instruction, and correspondingly generating a fund recommendation list according to the fund screening instruction.

The above-mentioned fund comparison module 144 is connected to the above-mentioned profit and loss inquiry module 142, the above-mentioned subscription module 143 and the above-mentioned database 120 by signals, and is used to generate funds according to the above-mentioned information on the funds that have been subscribed or the types of funds contained in the above-mentioned information on the funds to be subscribed. Filter instructions. Wherein, when the above-mentioned fund screening instruction is transmitted to the above-mentioned database 120, the above-mentioned database 120 will correspondingly generate a fund recommendation list according to the above-mentioned fund category.

The above-mentioned pushing module 145 is connected to the above-mentioned database 120 by a signal, and is used for generating a fund recommendation message according to the above-mentioned fund recommendation list, and sending it back to the above-mentioned user device 200 .

According to another embodiment, the above-mentioned fund categories include investment in financial commodities, investment in industries, and investment areas.

According to another embodiment, the above-mentioned database 120 further includes performing fund ranking on the above-mentioned fund recommendation list according to values including performance, popularity, fund size, sales volume or managerial experience.

According to another embodiment, the transmission method of the above-mentioned fund recommendation message includes pushing and broadcasting on an online banking window, a telecommunication short message and a communication software message.

According to another embodiment, the database 120 further includes a fund data updating module 122, and the signal is connected to the fund data storage module 121 for updating the fund data.

According to another embodiment, updating the above-mentioned fund information includes connecting a network domain of the fund company through the Internet to obtain the above-mentioned fund information.

According to another embodiment, the above-mentioned fund data storage module 121 , fund data update module 122 , fund management module 141 , profit and loss inquiry module 142 , purchase module 143 , fund comparison module 144 and push broadcast module 145 It can be realized by hardware circuits and software, or all of them can be realized by hardware circuits.

Please also refer to Figure 1-2. FIG. 2 is a flowchart illustrating an implementation of a fund recommendation system based on investment intention according to an embodiment of the present invention. Figure 2 includes steps 300-380, which are detailed below.

In step 300 , the user connects with the fund subscription plan recommendation system signal 100 through the user device 200 . The connection method is not limited, for example, the user can connect to the online bank belonging to the financial institution through a desktop computer or a smart phone.

In step 320, the user wants to inquire about the profit and loss of the subscribed fund or wants to subscribe for a new fund. For example, in the interface of the online banking, the user clicks the relevant option or icon (icon) for querying the profit and loss of the subscribed fund or subscribed for a new fund, so that the profit and loss query module 142 generates a query command or the subscription module 143 generates a subscription command. It should be understood here that the above-mentioned profit and loss query module 142 and the above-mentioned subscription module 143 should be connected to a relevant database (for example, the database 120 in FIG. 1 ) to obtain profit and loss data or fund subscription data for user reference, and the connection relationship is as follows: The necessary relationship between components is not a feature of this case either. In step 320 , in addition to processing the conventional inquiry or purchase order, the system will use the fund information contained in the inquiry order or purchase order to further analyze the fund type, as detailed in step 340 .

In step 340, analyze and compare the fund types of the subscribed funds or the funds to be subscribed for, and generate a fund screening instruction. This step is to analyze the fund information contained in the inquiry order or the subscription order, and obtain the fund purchased by the user according to his or her own intention or the type of the fund to be subscribed for.

In step 360, the database 120 integrates a plurality of fund information into a fund recommendation list according to the fund screening instruction. This step is to load the corresponding fund information in the database 120 according to the fund category contained in the fund screening instruction. Further, the database 120 can further rank the above-mentioned fund recommendation list according to the value of performance, popularity, fund size, sales volume or manager's seniority.

In step 380 , the push module 145 of the system 100 generates a fund recommendation message according to the fund recommendation list, and transmits it to the user device 200 . For example, the push module 145 provides a fund recommendation list with fund rankings according to the database 120, and selects the top ten or top three funds to be included in the fund recommendation message according to a preset setting.

The present invention is only disclosed by preferred embodiments herein. However, any person skilled in the art should understand that the above-mentioned embodiments are only used to describe the present invention, and are not intended to limit the scope of the claimed patent rights of the present invention. All changes or substitutions that are equal or equivalent to the above embodiments should be construed as being covered within the spirit or scope of the present invention. Therefore, the protection scope of this new model shall be defined by the following patent application scope.

100: Fund Recommendation System Based on Investment Intention 120:Database 121: Fund data storage module 122: Fund information update module 140: Bank Server 141: Fund Management Module 142: Profit and loss query module 143: Subscription module 144: Fund comparison module 145: Push Broadcasting Module 200: User device 300-380: Steps

In order to make the above-mentioned technology and other objects, features, advantages and embodiments of the present invention more clearly understood, the accompanying drawings are described as follows: FIG. 1 is a schematic structural diagram of a fund recommendation system based on investment intention according to an embodiment of the present invention. FIG. 2 is a flowchart illustrating an implementation of a fund recommendation system based on investment intention according to an embodiment of the present invention.

100: Fund Recommendation System Based on Investment Intention

120:Database

121: Fund data storage module

122: Fund information update module

140: Bank Server

141: Fund Management Module

142: Profit and loss query module

143: Subscription module

144: Fund comparison module

145: Push Broadcasting Module

200: User device

Claims (6)

A fund recommendation system based on investment intention, which provides at least one user to connect with a user device signal, and the fund recommendation system based on investment intention includes: A database for storing the information of a plurality of funds, and correspondingly generating a fund recommendation list according to a fund screening instruction, the database includes: a fund data storage module for storing the fund data; a bank server, the signal is connected to the user device and the database, and is used for returning a fund recommendation message to the user device according to the funds subscribed by the user and the funds to be subscribed. The bank server includes: a fund management module, the signal is connected to the user device, and is used for providing the user to execute a query of the profit and loss of the subscribed fund and execute a new subscription fund, Wherein, when the fund management module executes the query on the subscribed fund profit and loss, a query command will be generated, Wherein, when the fund management module executes the new subscription fund, a subscription instruction will be generated; a profit and loss query module, the signal is connected to the fund management module, and is used for correspondingly generating a subscribed fund information according to the query command; a subscription module, the signal is connected to the fund management module, and is used for correspondingly generating the information of the fund to be subscribed according to the subscription instruction; a fund comparison module, the signal is connected to the profit and loss query module, the subscription module and the database, and is used for generating the fund screening instruction according to the information of the subscribed fund or a fund category contained in the information of the fund to be subscribed , Wherein, when the fund screening instruction is transmitted to the database, the database will correspondingly generate the fund recommendation list according to the fund category; and A push broadcasting module is connected to the database by a signal, and is used for generating a fund recommendation message according to the fund recommendation list, which is sent back to the user device. The investment intention-based fund recommendation system according to claim 1, wherein the fund category includes investment in financial commodities, investment industries, and investment areas. The investment intention-based fund recommendation system as claimed in claim 1, wherein the database further includes a fund ranking for the fund recommendation list according to values including performance, popularity, fund size, sales volume or manager's seniority. The investment intention-based fund recommendation system according to claim 1, wherein the transmission method of the fund recommendation message includes pushing and broadcasting on an online banking window, a telecommunication short message and a communication software message. The investment intention-based fund recommendation system as claimed in claim 1, wherein the database further comprises a fund data update module, and the signal is connected to the fund data storage module for updating the fund data. The investment intention-based fund recommendation system as claimed in claim 5, wherein updating the fund information includes connecting the network domain of the fund company through an Internet to obtain the fund information.

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