CN111159566A - Information pushing method and device for financial market products - Google Patents
Information pushing method and device for financial market products Download PDFInfo
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- CN111159566A CN111159566A CN201911423566.4A CN201911423566A CN111159566A CN 111159566 A CN111159566 A CN 111159566A CN 201911423566 A CN201911423566 A CN 201911423566A CN 111159566 A CN111159566 A CN 111159566A
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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
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
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- 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
Abstract
The invention discloses an information pushing method and device for financial market products, wherein the method comprises the following steps: collecting text contents of information to be pushed; inputting text contents of information to be pushed into an information labeling model obtained by pre-training, and outputting one or more information labels corresponding to the information to be pushed; inquiring a product label or a user label related to the information to be pushed from a pre-constructed knowledge graph model according to each information label corresponding to the information to be pushed, wherein the knowledge graph model comprises: the incidence relation among the information label, the product label and the user label; determining one or more to-be-pushed users to be pushed of the to-be-pushed information according to the product label or the user label related to the to-be-pushed information; the information to be pushed is pushed to each user to be pushed. The method and the system can automatically identify the concerned users of the information content and push the information content to the concerned users, thereby avoiding pushing a large amount of irrelevant information to the users and improving the information reading efficiency of the users.
Description
Technical Field
The invention relates to the field of internet, in particular to an information pushing method and device for financial market products.
Background
This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
With the rapid development of internet technology, more and more information platforms are available, and the information platforms can facilitate users to obtain massive information. For the investment users of financial market products, the price of the financial market products is greatly influenced by the market, so that various information of the financial market can be constantly paid attention to, and the investment users can be helped to make correct investment decisions.
At present, the existing information platform provides a variety of information and a large amount of information, so that investment users of financial market products are difficult to quickly and efficiently mine effective information from the large amount of information.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides an information pushing method of a financial market product, which is used for solving the technical problem that investment users of the financial market product are difficult to mine effective information from massive information due to various information and large amount of information provided by the conventional information platform, and comprises the following steps: collecting text contents of information to be pushed; inputting text contents of information to be pushed into an information labeling model obtained by pre-training, and outputting one or more information labels corresponding to the information to be pushed; inquiring a product label or a user label related to the information to be pushed from a pre-constructed knowledge graph model according to each information label corresponding to the information to be pushed, wherein the knowledge graph model comprises: the incidence relation among the information label, the product label and the user label; determining one or more to-be-pushed users to be pushed of the to-be-pushed information according to the product label or the user label related to the to-be-pushed information; the information to be pushed is pushed to each user to be pushed.
The embodiment of the invention also provides an information pushing device of financial market products, which is used for solving the technical problem that investment users of the financial market products are difficult to mine effective information from massive information due to various types and large amount of information provided by the conventional information platform, and the device comprises: the information acquisition module is used for acquiring text contents of information to be pushed; the information labeling module is used for inputting the text content of the information to be pushed into an information labeling model obtained by pre-training and outputting one or more information labels corresponding to the information to be pushed; the knowledge graph query module is used for querying a product label or a user label related to the information to be pushed from a pre-constructed knowledge graph model according to each information label corresponding to the information to be pushed, wherein the knowledge graph model comprises: the incidence relation among the information label, the product label and the user label; the pushing object determining module is used for determining one or more to-be-pushed users to be pushed of the to-be-pushed information according to the product tags or the user tags related to the to-be-pushed information; and the information pushing module is used for pushing the information to be pushed to each user to be pushed.
The embodiment of the invention also provides computer equipment for solving the technical problem that investment users of financial market products are difficult to mine effective information from massive information due to various information and large amount of information provided by the conventional information platform.
The embodiment of the invention also provides a computer readable storage medium, which is used for solving the technical problem that investment users of financial market products are difficult to mine effective information from massive information due to various information and large amount of information provided by the conventional information platform.
In the embodiment of the invention, after the text content of the information to be pushed is acquired, the text content of the information to be pushed is input into the information labeling model obtained by pre-training, one or more information labels corresponding to the information to be pushed are output, then, according to each information label corresponding to the information to be pushed, a product label or a user label related to the information to be pushed is inquired from the pre-constructed knowledge graph model, finally, according to the product label or the user label related to the information to be pushed, one or more users to be pushed of the information to be pushed are determined, and the information to be pushed is pushed to each user to be pushed.
According to the embodiment of the invention, the text content of the information to be pushed and collected in real time is labeled based on the information labeling model obtained by pre-training to obtain the information label of the information to be pushed, then the associated product label or user label of the information to be pushed is inquired from the pre-constructed knowledge graph model according to the information label of the information to be pushed, finally one or more users to be pushed for receiving the information to be pushed are determined according to the associated product label or user label of the information to be pushed, the information to be pushed is pushed to each user to be pushed, the concerned users of the information content can be automatically identified, the information content is pushed to the concerned users, a large amount of irrelevant information content is prevented from being pushed to the users, and the information reading efficiency of the users is greatly improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a flowchart illustrating an information pushing method for financial market products according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for processing information text content according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an information pushing system according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a knowledge spectrogram model provided in an embodiment of the present invention;
FIG. 5 is a schematic diagram of a tag for constructing a knowledge graph provided in an embodiment of the present invention;
fig. 6 is a schematic diagram illustrating that a first timestamp and a second timestamp corresponding to information to be pushed both fall within a product price time period according to an embodiment of the present invention;
fig. 7 is a schematic diagram illustrating that neither the first timestamp nor the second timestamp corresponding to the to-be-pushed information falls within the product price time period according to the embodiment of the present invention;
FIG. 8 is a schematic diagram illustrating that a first timestamp corresponding to information to be pushed falls within a product price time period and a second timestamp does not fall within the product price time period according to an embodiment of the present invention;
fig. 9 is a schematic diagram illustrating that a first timestamp corresponding to information to be pushed does not fall within a product price time period and a second timestamp falls within the product price time period according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of an information pushing interface according to an embodiment of the present invention;
FIG. 11 is a schematic diagram of an information display interface according to an embodiment of the present invention;
FIG. 12 is a schematic diagram of an information pushing apparatus for financial market products according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In the description of the present specification, the terms "comprising," "including," "having," "containing," and the like are used in an open-ended fashion, i.e., to mean including, but not limited to. Reference to the description of the terms "one embodiment," "a particular embodiment," "some embodiments," "for example," etc., means that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. The sequence of steps involved in the embodiments is for illustrative purposes to illustrate the implementation of the present application, and the sequence of steps is not limited and can be adjusted as needed.
An embodiment of the present invention provides an information pushing method for a financial market product, and fig. 1 is a flowchart of an information pushing method for a financial market product provided in an embodiment of the present invention, as shown in fig. 1, the method may include the following steps:
s101, collecting the text content of the information to be pushed.
It should be noted that, in the embodiment of the present invention, the information to be pushed may be information issued by any information platform (for example, information platforms such as pengbo, Wind, wale street news, etc.), and may be, but not limited to, information related to financial market products.
As an alternative implementation, the S101 may interface with each information platform through a unified information interface to collect information published on each information platform. In the prior art, a user checks news information through different information platforms, time and labor are consumed, and the information can be published on different information platforms on the same topic, so that a lot of time is wasted when the user checks the information repeatedly. The embodiment of the invention is connected with a plurality of information platforms through a uniform information interface, thereby not only providing more comprehensive information contents, but also playing a role in removing redundancy.
S102, inputting the text content of the information to be pushed into the information labeling model obtained by pre-training, and outputting one or more information labels corresponding to the information to be pushed.
It should be noted that, in the embodiment of the present invention, the information labeling model may be an artificial intelligence model obtained through machine learning training in advance, and input data of the model is text content of information; the output data of the model is one or more information tags corresponding to the information. Optionally, each information tag may be a keyword extracted from the information text content, a tag matched from a pre-constructed tag library, or a tag generated according to the current information text content.
Fig. 2 is a flowchart of an information text content processing method according to an embodiment of the present invention, as shown in fig. 2, after acquiring text content of information to be pushed, the information text content is preprocessed by using a natural language processing technique, the preprocessed text content is input into an information labeling model obtained by pre-training, one or more information tags of the information to be pushed are output, and the information tags are added into an information tag library. Because the information content on the internet is changed in real time and is continuously updated, a lot of new information is often generated, and therefore, as an optional implementation mode, the information labeling model can be updated by using the information labels and corresponding information in the information label library, so that the updated information labeling model can adapt to the information content changed in real time, and the accuracy of labeling new information is improved.
S103, inquiring a product label or a user label related to the information to be pushed from a pre-constructed knowledge graph model according to each information label corresponding to the information to be pushed, wherein the knowledge graph model comprises: the association among the information label, the product label and the user label.
It should be noted that the entities in the knowledge graph model constructed in the embodiment of the present invention include, but are not limited to: information tags, product tags and user tags; connection relationships between entities include, but are not limited to: the information label comprises an incidence relation between the information label and the information label, an incidence relation between the product label and the product label, an incidence relation between the user label and the user label, an incidence relation between the information label and the product label, an incidence relation between the user label and the information label, and an incidence relation between the user label and the product label.
Fig. 3 is a schematic diagram of an information pushing system according to an embodiment of the present invention, as shown in fig. 3, after text content of information to be pushed issued by any one information platform is acquired, the text content of the information is input into an information tagging model obtained through pre-training, one or more information tags of the information to be pushed are output, based on a pre-established knowledge spectrogram model, a product tag or a user tag associated with the information to be pushed is searched for, so as to determine one or more users to be pushed associated with the information to be pushed, and the information to be pushed is pushed to terminal devices (e.g., a mobile phone, a notebook computer, a computer, etc.) of each user to be pushed.
Because the price of the financial market product is influenced by market factors, the distribution of some information may influence the price of some financial market products; for the investors of financial market products, some financial market information is often browsed to pay attention to, so as to determine to trade (buy or sell) some financial market products according to the information of interest. Some common investment users may trade with some professional investment users due to little knowledge of the financial market investment, so that the investment users of the financial market products have a certain association relationship. For related products or related information, a change in a product or information may affect a change in the related products or information, and thus, there may be some relationship between related products or related information.
Therefore, in the knowledge graph model constructed by the embodiment of the invention, the association relationship between the user tag and the information tag can be attention; the association between the user tag and the product tag may be a transaction; the association between the information tag and the product tag may be an impact; the association relationship between the information tag and the information tag can be an information correlation coefficient; the association relationship between the product label and the product label may be a product correlation coefficient; the association between the user tag and the user tag may be a follow-up.
Fig. 4 is a schematic diagram of a knowledge spectrogram model provided in an embodiment of the present invention, as shown in fig. 4, for user a, the information that can be pushed to user a may be information 1 (information directly concerned), information 2 (information related to information 1), information 3 (information related to directly transacting product 2), and information 4 (information related to product 3 related to product 1). Therefore, the embodiment of the invention can push all the possibly interested effective information of the user to the user by constructing the knowledge graph.
It should be noted that, before the above step S103, the embodiment of the present invention may construct the knowledge graph model by the following steps: acquiring a predefined user label, an information label and a product label; establishing an incidence relation among all the tags; and generating a knowledge graph model according to the predefined user tags, information tags, product tags and the incidence relation among the tags.
Fig. 5 is a schematic diagram of tags for constructing a knowledge graph according to an embodiment of the present invention, as shown in fig. 5, after text content of information to be pushed is acquired, the text content of the information is preprocessed by using a natural language processing technique, the preprocessed text content is input into an information labeling model obtained by pre-training, one or more information tags of the information to be pushed are output, and the information tags are added into an information tag library. Because the information content on the internet is changed in real time and is continuously updated, a lot of new information is often generated, and therefore, as an optional implementation mode, the information labeling model can be updated by using the information labels and corresponding information in the information label library, so that the updated information labeling model can adapt to the information content changed in real time, and the accuracy of labeling new information is improved.
As an alternative implementation manner, the embodiment of the present invention determines the association relationship between the information tags by the following steps: acquiring heat curves of information corresponding to the first information label and the second information label; calculating the information correlation coefficient of the first information label and the second information label according to the heat curve of the corresponding information of the first information label and the second information label; and determining the association relationship between the first information tag and the second information tag according to the information correlation coefficient of the first information tag and the second information tag.
Optionally, the embodiment of the present invention draws a heat curve of information corresponding to each information tag by the following steps: collecting information of information corresponding to each information label, and counting heat information of each information label; calculating the heat index of each information label according to the heat information of each information label; according to the heat index of each information label, drawing the heat curve of the corresponding information of each information label. It should be noted that the popularity information of the information corresponding to each information tag includes, but is not limited to, the total number of clicks, total number of praise, or total number of comments of the information corresponding to each information tag.
Because the heat indexes of the information corresponding to the information labels are constantly changed along with the time, in order to enable a user to visually know the heat change trend of the information corresponding to the information labels, the heat curves of the information corresponding to the information labels can be displayed on an interface.
As an alternative implementation, the embodiment of the present invention determines the association relationship between the product label and the product label by the following steps: acquiring price curves of the first product label and the second product label corresponding to financial market products; calculating product correlation coefficients of the first product label and the second product label according to price curves of the financial market products corresponding to the first product label and the second product label; and determining the association relationship between the first product label and the second product label according to the product correlation coefficients of the first product label and the second product label.
The embodiment of the invention can calculate the correlation coefficient between two variables through the following formula:
wherein r (X, Y) represents a correlation coefficient; x represents a first variable; y represents a second variable; cov (X, Y) represents the covariance of X and Y; var [ X ] represents the variance of X; var [ Y ] represents the variance of Y.
Optionally, the embodiment of the present invention may draw a price curve of each product label corresponding to a financial market product by the following steps: collecting price data of financial market products corresponding to each product label; and drawing a price curve of the financial market product corresponding to each product label according to the price data of the financial market product corresponding to each product label. Alternatively, the price curves of the financial market products may be displayed on the interface so that the user can intuitively understand the price variation trend of each financial market product. Preferably, the price curve of each financial market product related to the information to be pushed can be displayed on the heat curve of the information to be pushed, so that the user can quickly know the influence of certain information on the price change trend of each financial market product.
As an optional implementation manner, in the embodiment of the present invention, the association relationship between the user tag and the user tag is determined through the following steps: acquiring trading strategy information of a first user and a second user for investing in financial market products; and determining the association relationship between the first user and the second user according to the trading strategy information of the first user and the second user for investing the financial market products.
As an alternative implementation, the embodiment of the present invention determines the association relationship between the information tag and the product tag by the following steps: calculating the price influence condition of the information corresponding to each information label on the financial market products; and determining the association relation between the information labels and the product labels according to the price influence condition of the information corresponding to each information label on the financial market product.
As an alternative implementation manner, the embodiment of the present invention determines the association relationship between the user tag and the information tag by the following steps: collecting information of user browsing information; and determining the association relationship between the user tag and the information tag according to the information of the information browsed by the user.
As an optional implementation manner, the embodiment of the present invention determines the association relationship between the user tag and the product tag by the following steps: collecting product information of a financial market product invested by a user; and determining the association relationship between the user label and the product label according to the product information of the financial market product invested by the user.
S104, determining one or more to-be-pushed users to push the to-be-pushed information according to the product label or the user label related to the to-be-pushed information.
Specifically, S104 may be implemented by any one or a combination of two ways: the method comprises the steps that one or more financial market products related to the information to be pushed are determined according to product labels related to the information to be pushed, one or more users related to each financial market product are obtained, and the obtained one or more users are determined as one or more users to be pushed of the information to be pushed; and secondly, determining one or more users related to the information to be pushed according to the user tags related to the information to be pushed, and determining the one or more users related to the information to be pushed as one or more users to be pushed of the information to be pushed.
S105, pushing the information to be pushed to each user to be pushed.
It should be noted that, after determining each to-be-pushed user who may be interested in the to-be-pushed information, the embodiment of the present invention may push the to-be-pushed information to a terminal device (e.g., a mobile phone, a notebook computer, a computer, etc.) of each to-be-pushed user, where the pushing mode may be any one of short message, WeChat, email, web page, etc.; the pushed content may be in the form of, but is not limited to, text, static graphics, dynamic graphics, video, and the like.
According to the embodiment of the invention, the acquired information is pushed to different users according to the incidence relation among the information label, the user label and the product label, so that not only the information content displayed on the information display pages of different users is different. Optionally, on the push interface of each user, the information sorting may be set to be different, and the information sorting may be displayed according to the weight sorting of the influence on the product concerned by the user. Preferably, the sorting mode of the user-defined selection information can be supported.
As a preferred implementation manner, when the information to be pushed is pushed to each user to be pushed, the influence condition of the information to be pushed on the price of each financial market product can be acquired; and pushing the information to be pushed and the price influence condition of the information to be pushed on each financial market product to each user to be pushed. Because the main purpose of the information concerning the investment users of the financial market products is to make a decision on the transaction of the financial market products, the embodiment of the invention pushes the information content and the price influence condition of the information on each financial market product to the users at the same time, thereby helping the users to make related investment decisions and greatly improving the user experience.
Alternatively, the price influence condition of the information to be pushed on each financial market product may be, but is not limited to, a price fluctuation rate, and thus, in an alternative implementation, the embodiment of the present invention may calculate the price fluctuation rate of the influence of the information on the price change of each financial market product by the following steps: collecting price data of each financial market product related to information to be pushed; and according to the price data of each financial market product related to the information to be pushed, calculating the price fluctuation rate of the influence of the information to be pushed on the price change of each financial market product.
When calculating the price fluctuation rate of the information to be pushed, which affects the price change of each financial market product, according to the price data of each financial market product associated with the information to be pushed, the method specifically comprises the following steps: acquiring a first time stamp and a second time stamp corresponding to information to be pushed, wherein the first time stamp is a moment before the occurrence moment of the information to be pushed, and the second time stamp is a moment after the occurrence moment of the information to be pushed; determining a first price of the financial market product before the information to be pushed occurs according to a first timestamp corresponding to the information to be pushed and a price time period of price data generated by the financial market product; determining a second price of the financial market product after the information to be pushed occurs according to a second timestamp corresponding to the information to be pushed and a price time period for generating price data of the financial market product; and determining the price fluctuation rate of the influence of the information to be pushed on the price change of the financial market product according to the first price and the second price.
Optionally, determining a first price of the financial market product before the information to be pushed occurs by: judging whether the first timestamp falls into a price time period for generating price data of the financial market product; if the first timestamp falls into the price time period of the financial market product generating the price data, determining the average price of the financial market product between the first timestamp and the time of the to-be-pushed information generation in the price time period of the financial market product generating the price data or the price of the financial market product corresponding to the first timestamp as the first price of the financial market product before the to-be-pushed information generation; and if the first time stamp does not fall into the time period corresponding to the price data generated by the financial market product, determining the price of the financial market product corresponding to the end time of a price time period adjacent to the first time stamp before the first time stamp as the first price of the financial market product before the information to be pushed occurs.
Optionally, determining the second price of the financial market product after the occurrence of the information to be pushed comprises: judging whether the second timestamp falls into a price time period for generating price data of the financial market product; if the second timestamp falls into the price time period of the financial market product generating price data, determining the average price of the financial market product between the time of the information to be pushed in the price time period of the financial market product generating price data and the second timestamp or the price of the financial market product corresponding to the second timestamp as the second price of the financial market product after the information to be pushed occurs; and if the second time stamp does not fall into the time period corresponding to the price data generated by the financial market product, determining the price of the financial market product corresponding to the starting time of a price time period which is adjacent to the second time stamp and is after the second time stamp as the second price of the financial market product after the information to be pushed occurs.
Further, after the price fluctuation rate of the information to be pushed on the influence of the price change of the financial market product is determined, the influence trend of the information to be pushed on the influence of the price change of the financial market product can be determined according to the positive value and the negative value of the price fluctuation rate of the information to be pushed on the influence of the price change of the financial market product, wherein the positive value represents the price rising, and the negative value represents the price falling.
In the embodiment of the present invention, assume the first data corresponding to the information to be pushedThe time stamp and the second time stamp are respectively delta t1And Δ t1The determination of the first price and the second price is specifically described below with reference to fig. 6 to 9:
as shown in fig. 6 or 8, the first time stamp Δ t1The price time period (i.e. the first price time period t) for which the financial market product generates price data falls1～t2) Determining the average price of the financial market products between a first time stamp and the occurrence time of the information to be pushed in the price time period of the financial market products generating the price data or the price of the financial market products corresponding to the first time stamp as the first price of the financial market products before the occurrence of the information to be pushed; as shown in fig. 7 or 9, the first time stamp Δ t1And if the price does not fall into the time period corresponding to the price data generated by the financial market product, determining the price of the financial market product corresponding to the price time period ending time before the first time stamp and adjacent to the first time stamp as the first price of the financial market product before the information to be pushed occurs.
As shown in fig. 6 or 9, the second time stamp Δ t2Price period falling into financial market product for generating price data (second time stamp Δ t in fig. 6)2Falls in a first price time period t1～t2Second time stamp Δ t in FIG. 92Falls into the second price period t3～t4) Determining the average price of the financial market products between the time of the price data generated by the financial market products and the second time stamp or the price of the financial market products corresponding to the second time stamp as the second price of the financial market products after the price data generated by the financial market products is generated; as shown in fig. 7 or 8, the second time stamp Δ t2And if the price does not fall into the time period corresponding to the price data generated by the financial market product, determining the price of the financial market product corresponding to the starting time of a price time period which is after the second time stamp and adjacent to the second time stamp as the second price of the financial market product after the information to be pushed occurs.
It should be noted that the first time stamp Δ t in fig. 71And a second time stamp Δ t2All do not fall intoThe financial market product generates price data in a price time period, so that the price of the financial market product corresponding to a price time period ending time before the first time stamp and adjacent to the first time stamp is determined as a first price of the financial market product before the information to be pushed occurs; and determining the price of the financial market product corresponding to the starting time of a price time period which is after the second time stamp and adjacent to the second time stamp as the second price of the financial market product after the information to be pushed occurs.
For example, before and after the information a to be pushed occurs, the first price and the second price of the product a are P1 and P2, respectively, and then the price fluctuation rate of the information a to be pushed on the product a is expressed as:
wherein Δ P represents the price fluctuation rate of the influence of the information A to be pushed on the product a.
As can be seen from the above, in the information pushing method for financial market products provided in the embodiments of the present invention, after acquiring text content of information to be pushed, the text content of the information to be pushed is input into the pre-trained information tagging model, one or more information tags corresponding to the information to be pushed are output, then, according to each information tag corresponding to the information to be pushed, a product tag or a user tag associated with the information to be pushed is queried from a pre-constructed knowledge graph model, finally, according to the product tag or the user tag associated with the information to be pushed, one or more users to be pushed of the information to be pushed are determined, and the information to be pushed is pushed to each user to be pushed.
The information pushing method of the financial market product provided by the embodiment of the invention can automatically identify the concerned user of the information content and push the information content to the concerned user, thereby avoiding pushing a large amount of irrelevant information content to the user and greatly improving the information reading efficiency of the user.
In an optional embodiment, the method for pushing information of financial market products according to an embodiment of the present invention may further include the following steps: acquiring geographic position information of each financial market product related to information to be pushed; and associating the geographical position information of each financial market product according to the information to be pushed, and displaying the price influence condition of the information to be pushed on each financial market product on the map.
Fig. 10 is a schematic view of an information pushing interface provided in an embodiment of the present invention, as shown in fig. 10, after determining that information that may be focused by a user a is information 1, information 2, information 3, and information 4, on the information pushing interface of the user a, each piece of information that may be focused by the user a may be displayed on a map according to geographical location information, and when a user selects a piece of information, the information of the information may be displayed, including but not limited to: title, summary content, heat value (heat index calculated according to heat information), heat information (including but not limited to browsing amount, review amount, forwarding amount, etc.), source information platform, etc. Preferably, the volatility of the price impact of this information on one or more financial market products may also be displayed to allow the user to make timely investment decisions, such as buying falling products or selling rising products.
Fig. 11 is a schematic view of an information display interface provided in an embodiment of the present invention, as shown in fig. 11, after a user clicks a piece of information (e.g., information 3) in fig. 10, the influence of the piece of information on various financial market products can be displayed, which not only helps the user to know the price influence of the current piece of information on the products that the user has paid attention to, but also helps the user to know the price influence of the current piece of information on the products that the user has not paid attention to, so as to further improve user experience.
Optionally, as shown in fig. 10 and fig. 11, the embodiment of the present invention may further determine the information such as the predicted value, positive correlation or negative correlation of the current information on the price fluctuation rate of the financial market product according to the historical events.
Based on the same inventive concept, the embodiment of the present invention further provides an information pushing device for financial market products, as described in the following embodiments. Because the principle of the device embodiment for solving the problems is similar to the information pushing method of the financial market products, the implementation of the device embodiment can refer to the implementation of the method, and repeated details are not repeated.
Fig. 12 is a schematic view of an information pushing apparatus for financial market products according to an embodiment of the present invention, as shown in fig. 12, the apparatus may include: the system comprises an information acquisition module 11, an information labeling module 12, a knowledge graph query module 13, a push object determination module 14 and an information push module 15.
The information acquisition module 11 is used for acquiring text contents of information to be pushed; the information labeling module 12 is configured to input text content of information to be pushed to an information labeling model obtained through pre-training, and output one or more information labels corresponding to the information to be pushed; a knowledge graph query module 13, configured to query, according to each information tag corresponding to the information to be pushed, a product tag or a user tag associated with the information to be pushed from a pre-constructed knowledge graph model, where the knowledge graph model includes: the incidence relation among the information label, the product label and the user label; the pushing object determining module 14 is configured to determine one or more to-be-pushed users who are to push the to-be-pushed information according to the product tag or the user tag associated with the to-be-pushed information; the information pushing module 15 is used for pushing the information to be pushed to each user to be pushed.
As can be seen from the above, the information pushing apparatus for financial market products according to the embodiments of the present invention, after acquiring text content of information to be pushed, inputs the text content of the information to be pushed into the information tagging model obtained through pre-training, outputs one or more information tags corresponding to the information to be pushed, then queries, according to each information tag corresponding to the information to be pushed, a product tag or a user tag associated with the information to be pushed from a pre-constructed knowledge graph model, and finally determines one or more users to be pushed of the information to be pushed according to the product tag or the user tag associated with the information to be pushed, and pushes the information to be pushed to each user to be pushed.
The information pushing device of the financial market product provided by the embodiment of the invention can automatically identify the concerned user of the information content and push the information content to the concerned user, thereby avoiding pushing a large amount of irrelevant information content to the user and greatly improving the information reading efficiency of the user.
In an optional embodiment, in the information pushing apparatus for financial market products provided in the embodiments of the present invention, the pushing object determining module 14 is further configured to determine, according to a product tag associated with the information to be pushed, one or more financial market products associated with the information to be pushed, obtain one or more users associated with each financial market product, and determine the obtained one or more users as one or more users to be pushed who are to push the information to be pushed; or determining one or more users related to the information to be pushed according to the user tags related to the information to be pushed, and determining the one or more users related to the information to be pushed as one or more users to be pushed of the information to be pushed.
In an optional embodiment, the information pushing apparatus for financial market products according to an embodiment of the present invention may further include: the knowledge graph building module 16 is used for acquiring a user label, an information label and a product label which are defined in advance; establishing an incidence relation among all the tags; and generating a knowledge graph model according to the predefined user tags, information tags, product tags and the incidence relation among the tags.
Optionally, in the information pushing apparatus for financial market products provided in the embodiment of the present invention, the knowledge graph constructing module 16 may include: an information association relation determining module 161, configured to obtain a heat curve of information corresponding to the first information tag and the second information tag; calculating the information correlation coefficient of the first information label and the second information label according to the heat curve of the corresponding information of the first information label and the second information label; and determining the association relationship between the first information tag and the second information tag according to the information correlation coefficient of the first information tag and the second information tag.
Further, the information association relation determining module 161 is further configured to collect information of information corresponding to each information tag, and count heat information of each information tag; calculating the heat index of each information label according to the heat information of each information label; according to the heat index of each information label, drawing the heat curve of the corresponding information of each information label.
Optionally, in the information pushing apparatus for financial market products provided in the embodiment of the present invention, the knowledge graph constructing module 16 may include: the product association relation determining module 162 is configured to obtain price curves of the financial market products corresponding to the first product label and the second product label; calculating product correlation coefficients of the first product label and the second product label according to price curves of the financial market products corresponding to the first product label and the second product label; and determining the association relationship between the first product label and the second product label according to the product correlation coefficients of the first product label and the second product label.
Further, the product association relation determining module 162 is further configured to collect price data of financial market products corresponding to each product label; and drawing a price curve of the financial market product corresponding to each product label according to the price data of the financial market product corresponding to each product label.
Optionally, in the information pushing apparatus for financial market products provided in the embodiment of the present invention, the knowledge graph constructing module 16 may include: the user association relation determining module 163 is used for acquiring the trading strategy information of the first user and the second user for investing in the financial market products; and determining the association relationship between the first user and the second user according to the trading strategy information of the first user and the second user for investing the financial market products.
Optionally, in the information pushing apparatus for financial market products provided in the embodiment of the present invention, the knowledge graph constructing module 16 may include: the information product association relation determining module 164 is used for calculating the price influence condition of the information corresponding to each information label on the financial market product; and determining the association relation between the information labels and the product labels according to the price influence condition of the information corresponding to each information label on the financial market product.
Optionally, in the information pushing apparatus for financial market products provided in the embodiment of the present invention, the knowledge graph constructing module 16 may include: the information user association relation determining module 165 is used for acquiring information of the user browsing information; and determining the association relationship between the user tag and the information tag according to the information of the information browsed by the user.
Optionally, in the information pushing apparatus for financial market products provided in the embodiment of the present invention, the knowledge graph constructing module 16 may include: a product user association relation determining module 166, configured to collect product information of the financial market product invested by the user; and determining the association relationship between the user label and the product label according to the product information of the financial market product invested by the user.
In an alternative embodiment, in the information pushing apparatus for financial market products according to an embodiment of the present invention, the information pushing module 15 may include: the data processing module 151 is used for acquiring the price influence condition of the information to be pushed on each financial market product; the data pushing module 152 is configured to push the information to be pushed and the price influence of the information to be pushed on each financial market product to each user to be pushed.
Optionally, the data processing module 151 is further configured to collect price data of each financial market product related to the information to be pushed; and calculating the price fluctuation rate of the influence of the information to be pushed on the price change of each financial market product according to the price data of each financial market product related to the information to be pushed.
Optionally, the data processing module 151 is further configured to obtain a first timestamp and a second timestamp corresponding to the information to be pushed, where the first timestamp is a time before an occurrence time of the information to be pushed, and the second timestamp is a time after the occurrence time of the information to be pushed; determining a first price of the financial market product before the information to be pushed occurs according to a first timestamp corresponding to the information to be pushed and a price time period of price data generated by the financial market product; determining a second price of the financial market product after the information to be pushed occurs according to a second timestamp corresponding to the information to be pushed and a price time period for generating price data of the financial market product; and determining the price fluctuation rate of the influence of the information to be pushed on the price change of the financial market product according to the first price and the second price.
Optionally, the data processing module 151 is further configured to determine whether the first timestamp falls within a price time period of the price data generated by the financial market product; if the first timestamp falls into the price time period of the financial market product generating the price data, determining the average price of the financial market product between the first timestamp and the time of the to-be-pushed information generation in the price time period of the financial market product generating the price data or the price of the financial market product corresponding to the first timestamp as the first price of the financial market product before the to-be-pushed information generation; and if the first time stamp does not fall into the time period corresponding to the price data generated by the financial market product, determining the price of the financial market product corresponding to the end time of a price time period adjacent to the first time stamp before the first time stamp as the first price of the financial market product before the information to be pushed occurs.
Optionally, the data processing module 151 is further configured to determine whether the second timestamp falls within a price time period of the price data generated by the financial market product; if the second timestamp falls into the price time period of the financial market product generating price data, determining the average price of the financial market product between the time of the information to be pushed in the price time period of the financial market product generating price data and the second timestamp or the price of the financial market product corresponding to the second timestamp as the second price of the financial market product after the information to be pushed occurs; and if the second time stamp does not fall into the time period corresponding to the price data generated by the financial market product, determining the price of the financial market product corresponding to the starting time of a price time period which is adjacent to the second time stamp and is after the second time stamp as the second price of the financial market product after the information to be pushed occurs.
In an optional embodiment, the information pushing apparatus for financial market products according to an embodiment of the present invention may further include: the information display module 17 is used for acquiring the geographic position information of each financial market product related to the information to be pushed; and displaying the price influence condition of the information to be pushed on each financial market product on a map according to the geographic position information of each financial market product associated with the information to be pushed.
The embodiment of the invention also provides computer equipment for solving the technical problem that investment users of financial market products are difficult to mine effective information from massive information due to various information and large amount of information provided by the conventional information platform.
The embodiment of the invention also provides a computer readable storage medium, which is used for solving the technical problem that investment users of financial market products are difficult to mine effective information from massive information due to various information and large amount of information provided by the conventional information platform.
In summary, embodiments of the present invention provide a method, an apparatus, a computer device and a computer-readable storage medium for pushing information of financial market products, based on a pre-trained information labeling model, marking the text content of the information to be pushed collected in real time to obtain the information label of the information to be pushed, further inquiring the product label or the user label related to the information to be pushed from a pre-constructed knowledge graph model according to the information label of the information to be pushed, finally determining one or more users to be pushed for receiving the information to be pushed according to the product label or the user label related to the information to be pushed, and push the information to be pushed to each user to be pushed, so as to automatically identify the concerned user of the information content, and the information content is pushed to the concerned user, so that a large amount of irrelevant information content is prevented from being pushed to the user, and the information reading efficiency of the user is greatly improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (20)
1. An information pushing method for financial market products, comprising:
collecting text contents of information to be pushed;
inputting the text content of the information to be pushed into an information labeling model obtained by pre-training, and outputting one or more information labels corresponding to the information to be pushed;
inquiring a product label or a user label related to the information to be pushed from a pre-constructed knowledge graph model according to each information label corresponding to the information to be pushed, wherein the knowledge graph model comprises: the incidence relation among the information label, the product label and the user label;
determining one or more to-be-pushed users who are to push the to-be-pushed information according to the product label or the user label related to the to-be-pushed information;
and pushing the information to be pushed to each user to be pushed.
2. The method of claim 1, wherein determining one or more to-be-pushed users to push the to-be-pushed information according to a product tag or a user tag associated with the to-be-pushed information comprises:
determining one or more financial market products related to the information to be pushed according to the product labels related to the information to be pushed, acquiring one or more users related to each financial market product, and determining the acquired one or more users as one or more users to be pushed of the information to be pushed; or
And determining one or more users associated with the information to be pushed according to the user tags associated with the information to be pushed, and determining the one or more users associated with the information to be pushed as the one or more users to be pushed of the information to be pushed.
3. The method of claim 1, wherein the method further comprises:
acquiring a predefined user label, an information label and a product label;
establishing an incidence relation among all the tags;
and generating a knowledge graph model according to the predefined user tags, information tags, product tags and the incidence relation among the tags.
4. The method of claim 3, wherein establishing an association between tags comprises:
acquiring heat curves of information corresponding to the first information label and the second information label;
calculating the information correlation coefficient of the first information label and the second information label according to the heat curve of the corresponding information of the first information label and the second information label;
and determining the association relationship between the first information tag and the second information tag according to the information correlation coefficient of the first information tag and the second information tag.
5. The method of claim 4, wherein the method further comprises:
collecting information of information corresponding to each information label, and counting heat information of each information label;
calculating the heat index of each information label according to the heat information of each information label;
according to the heat index of each information label, drawing the heat curve of the corresponding information of each information label.
6. The method of claim 3, wherein establishing an association between tags comprises:
acquiring price curves of the first product label and the second product label corresponding to financial market products;
calculating product correlation coefficients of the first product label and the second product label according to price curves of the financial market products corresponding to the first product label and the second product label;
and determining the association relationship between the first product label and the second product label according to the product correlation coefficients of the first product label and the second product label.
7. The method of claim 6, wherein the method further comprises:
collecting price data of financial market products corresponding to each product label;
and drawing a price curve of the financial market product corresponding to each product label according to the price data of the financial market product corresponding to each product label.
8. The method of claim 3, wherein establishing an association between tags comprises:
acquiring trading strategy information of a first user and a second user for investing in financial market products;
and determining the association relationship between the first user and the second user according to the trading strategy information of the first user and the second user for investing the financial market products.
9. The method of claim 3, wherein establishing an association between tags comprises:
calculating the price influence condition of the information corresponding to each information label on the financial market products;
and determining the association relation between the information labels and the product labels according to the price influence condition of the information corresponding to each information label on the financial market product.
10. The method of claim 3, wherein establishing an association between tags comprises:
collecting information of user browsing information;
and determining the association relationship between the user tag and the information tag according to the information of the information browsed by the user.
11. The method of claim 3, wherein establishing an association between tags comprises:
collecting product information of a financial market product invested by a user;
and determining the association relationship between the user label and the product label according to the product information of the financial market product invested by the user.
12. The method of claim 1, wherein pushing the information to be pushed to each user to be pushed comprises:
acquiring the price influence condition of the information to be pushed on each financial market product;
and pushing the information to be pushed and the price influence condition of the information to be pushed on each financial market product to each user to be pushed.
13. The method of claim 12, wherein obtaining the price impact of the information to be pushed on each financial market product comprises:
collecting price data of each financial market product related to the information to be pushed;
and calculating the price fluctuation rate of the information to be pushed on the influence of the price change of each financial market product according to the price data of each financial market product related to the information to be pushed.
14. The method of claim 13, wherein calculating a price fluctuation rate of the information to be pushed affecting price changes of the financial market products based on the information to be pushed correlating price data of the financial market products comprises:
acquiring a first time stamp and a second time stamp corresponding to the information to be pushed, wherein the first time stamp is a moment before the occurrence moment of the information to be pushed, and the second time stamp is a moment after the occurrence moment of the information to be pushed;
determining a first price of the financial market product before the information to be pushed occurs according to a first timestamp corresponding to the information to be pushed and a price time period of price data generated by the financial market product;
determining a second price of the financial market product after the information to be pushed occurs according to a second timestamp corresponding to the information to be pushed and a price time period of price data generated by the financial market product;
and determining the price fluctuation rate of the influence of the information to be pushed on the price change of the financial market product according to the first price and the second price.
15. The method of claim 14, wherein determining the first price of the financial market product before the occurrence of the information to be pushed based on the first timestamp corresponding to the information to be pushed and the price time period for which the financial market product generates price data comprises:
judging whether the first timestamp falls into a price time period of the financial market product for generating price data;
if the first timestamp falls into the price time period of the financial market product generating price data, determining the average price of the financial market product between the first timestamp and the time of the to-be-pushed information within the price time period of the financial market product generating price data or the price of the financial market product corresponding to the first timestamp as a first price of the financial market product before the to-be-pushed information occurs;
and if the first time stamp does not fall into the time period corresponding to the price data generated by the financial market product, determining the price of the financial market product corresponding to one price time period ending time before the first time stamp and adjacent to the first time stamp as the first price of the financial market product before the information to be pushed occurs.
16. The method of claim 14, wherein determining a second price of the financial market product after the information to be pushed occurs based on a second timestamp corresponding to the information to be pushed and a price time period during which the financial market product generates price data comprises:
judging whether the second timestamp falls into a price time period of the financial market product for generating price data;
if the second timestamp falls into the price time period of the financial market product for generating price data, determining the average price of the financial market product between the time of the information to be pushed in the price time period of the financial market product for generating price data and the second timestamp or the price of the financial market product corresponding to the second timestamp as the second price of the financial market product after the information to be pushed occurs;
and if the second timestamp does not fall into the time period corresponding to the price data generated by the financial market product, determining the price of the financial market product corresponding to the starting time of a price time period which is adjacent to the second timestamp and is after the second timestamp as the second price of the financial market product after the information to be pushed occurs.
17. The method of claim 1, wherein after pushing the information to be pushed to each user to be pushed, the method further comprises:
acquiring the geographic position information of each financial market product related to the information to be pushed;
and associating the geographical position information of each financial market product according to the information to be pushed, and displaying the price influence condition of the information to be pushed on each financial market product on a map.
18. An information pushing device for financial market products, comprising:
the information acquisition module is used for acquiring text contents of information to be pushed;
the information labeling module is used for inputting the text content of the information to be pushed into an information labeling model obtained by pre-training and outputting one or more information labels corresponding to the information to be pushed;
a knowledge graph query module, configured to query, according to each information tag corresponding to the information to be pushed, a product tag or a user tag associated with the information to be pushed from a pre-constructed knowledge graph model, where the knowledge graph model includes: the incidence relation among the information label, the product label and the user label;
the pushing object determining module is used for determining one or more to-be-pushed users to be pushed of the to-be-pushed information according to the product tags or the user tags related to the to-be-pushed information;
and the information pushing module is used for pushing the information to be pushed to each user to be pushed.
19. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the information pushing method of the financial market product according to any one of claims 1 to 17 when executing the computer program.
20. A computer-readable storage medium storing a computer program for executing the method for pushing information of financial market products according to any one of claims 1 to 17.
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