CN109981712B - Method and device for pushing information - Google Patents
Method and device for pushing information Download PDFInfo
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- CN109981712B CN109981712B CN201711458149.4A CN201711458149A CN109981712B CN 109981712 B CN109981712 B CN 109981712B CN 201711458149 A CN201711458149 A CN 201711458149A CN 109981712 B CN109981712 B CN 109981712B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/55—Push-based network services
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Abstract
The embodiment of the application discloses a method and a device for pushing information. One embodiment of the method comprises: acquiring behavior information sent by a target user through a target terminal, wherein the behavior information comprises login request information, and the login request information comprises first area information of the target terminal; determining attribute information of a target user according to a preset user portrait of the target user, wherein the attribute information comprises hobby information and health condition information; pushing health prompt information and article recommendation information to a target terminal based on the attribute information and the first area information, wherein the health prompt information comprises at least one of the following items: disease information and disease prevention information of the first region; the item recommendation information includes at least one of: item recommendation information corresponding to preference information, and item recommendation information corresponding to disease prevention. The embodiment realizes targeted information push.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to the technical field of internet, and particularly relates to a method and a device for pushing information.
Background
Information push, also called "network broadcast", is a technology for reducing information overload by pushing information required by users on the internet through a certain technical standard or protocol. The information push technology can reduce the time spent by the user in searching on the network by actively pushing information to the user.
Disclosure of Invention
The embodiment of the application provides a method and a device for pushing information.
In a first aspect, an embodiment of the present application provides a method for pushing information, where the method includes: acquiring behavior information sent by a target user through a target terminal, wherein the behavior information comprises login request information, and the login request information comprises first area information of the target terminal; determining attribute information of a target user according to a preset user portrait of the target user, wherein the attribute information comprises hobby information and health condition information; pushing health prompt information and article recommendation information to a target terminal based on the attribute information and the first area information, wherein the health prompt information comprises at least one of the following items: disease information and disease prevention information of the first region; the item recommendation information includes at least one of: item recommendation information corresponding to preference information, and item recommendation information corresponding to disease prevention.
In some embodiments, the user representation includes historical browsing information and historical ordering information of the target user; and determining attribute information of the target user according to a preset user portrait of the target user, wherein the attribute information comprises: performing semantic analysis on the historical browsing information and the historical ordering information, and determining the occurrence times of first keywords for representing health and the occurrence times of second keywords for representing love in the historical browsing information and the historical ordering information; in response to the fact that the occurrence frequency of the first keyword is larger than a preset threshold value, determining health condition information of the target user corresponding to the first keyword, wherein the corresponding relation between the first keyword representing health and the health condition information is preset; and in response to the fact that the frequency of occurrence of the second keyword is larger than a preset threshold value, determining preference information of the target user corresponding to the second keyword, wherein the corresponding relation between the second keyword representing preference and the preference information is preset.
In some embodiments, pushing health promoting information and item recommendation information to the target terminal based on the attribute information and the first region information of the target user includes: acquiring historical search information sent by each user in a user set through a terminal within a preset time period, wherein the historical search information comprises regional information of the terminal; performing semantic analysis on the historical search information, and determining third key words corresponding to the historical search information; matching the third key words with all words in a preset disease word bank, and determining the third key words for representing diseases; determining the frequency of occurrence of third key words used for representing diseases corresponding to each region based on the region information of the terminal from which the historical search information corresponding to the third key words comes; determining a third keyword which is used for representing the disease and has the occurrence frequency larger than a preset threshold value and corresponds to the first region, wherein the third keyword is used as a disease keyword corresponding to the first region, and determining disease information, disease prevention information and article recommendation information corresponding to disease prevention corresponding to the disease keyword; and pushing the determined disease information corresponding to the disease keywords, the disease prevention information and the article recommendation information corresponding to the disease prevention to the target terminal.
In some embodiments, the behavioral information further includes ordering information; and the method further comprises: in response to determining that the ordering information includes second region information, determining weather information and disease information of the second region, wherein the weather information includes at least one of: air condition information, temperature information; and determining article recommendation information corresponding to the weather of the second area and article recommendation information corresponding to disease prevention based on the weather information and the disease information of the second area, and pushing the weather information and the disease information of the second area, the article recommendation information corresponding to the weather of the second area and the article recommendation information corresponding to disease prevention to the target terminal.
In some embodiments, pushing health promoting information and item recommendation information to the target terminal based on the attribute information and the first region information of the target user includes: determining whether the health condition information contains historical disease information; determining category information of items contained in the taste information in response to determining that the historical disease information is not contained in the health condition information; respectively setting weight values of health prompt information and item recommendation information based on the determined health condition information and item information; and pushing health prompt information and article recommendation information to the target terminal based on the weight value.
In a second aspect, an embodiment of the present application provides an apparatus for pushing information, where the apparatus includes: the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to acquire behavior information sent by a target user through a target terminal, the behavior information comprises login request information, and the login request information comprises first area information where the target terminal is located; the system comprises a first determining unit, a second determining unit and a display unit, wherein the first determining unit is configured to determine attribute information of a target user according to a preset user portrait of the target user, and the attribute information comprises preference information and health condition information; the first pushing unit is configured to push health prompt information and item recommendation information to the target terminal based on the attribute information and the first area information, wherein the health prompt information includes at least one of the following items: disease information and disease prevention information of the first region; the item recommendation information includes at least one of: item recommendation information corresponding to preference information, and item recommendation information corresponding to disease prevention.
In some embodiments, the user representation includes historical browsing information and historical ordering information of the target user; and the first determining unit is further configured to: performing semantic analysis on the historical browsing information and the historical ordering information, and determining the occurrence times of first keywords for representing health and the occurrence times of second keywords for representing love in the historical browsing information and the historical ordering information; in response to the fact that the occurrence frequency of the first keyword is larger than a preset threshold value, determining health condition information of the target user corresponding to the first keyword, wherein the corresponding relation between the first keyword representing health and the health condition information is preset; and in response to the fact that the frequency of occurrence of the second keyword is larger than a preset threshold value, determining preference information of the target user corresponding to the second keyword, wherein the corresponding relation between the second keyword representing preference and the preference information is preset.
In some embodiments, the first pushing unit comprises: the acquisition subunit is configured to acquire historical search information sent by each user in the user set through the terminal within a preset time period, wherein the historical search information includes information of an area where the terminal is located; the first determining subunit is configured to perform semantic analysis on the historical search information and determine third key words corresponding to the historical search information; the second determining subunit is configured to match the third key word with each word in a preset disease word bank, and determine the third key word for representing the disease; the third determining subunit is configured to determine, based on the area information where the terminal is located from the history search information corresponding to the third keyword, a frequency of occurrence of the third keyword corresponding to each area and used for representing the disease; a fourth determining subunit, configured to determine, as a disease keyword corresponding to the first region, a third keyword corresponding to the first region, the occurrence frequency of which is greater than a preset threshold, and the third keyword is used for representing a disease, and determine disease information corresponding to the disease keyword, disease prevention information, and item recommendation information corresponding to disease prevention; and the pushing subunit is configured to push the determined disease information corresponding to the disease keyword, the disease prevention information and the item recommendation information corresponding to the disease prevention to the target terminal.
In some embodiments, the behavioral information further includes ordering information; and the apparatus further comprises: the second determining unit is configured to determine weather information and disease information of a second area in response to determining that the ordering information includes second area information, wherein the weather information includes at least one of the following items: air condition information, temperature information; and the second pushing unit is configured to determine item recommendation information corresponding to the weather of the second area and item recommendation information corresponding to disease prevention based on the weather information and the disease information of the second area, and push the weather information and the disease information of the second area, the item recommendation information corresponding to the weather of the second area and the item recommendation information corresponding to disease prevention to the target terminal.
In some embodiments, the first pushing unit is further configured to: determining whether the health condition information contains historical disease information; determining category information of items contained in the taste information in response to determining that the historical disease information is not contained in the health condition information; respectively setting weight values of health prompt information and item recommendation information based on the determined health condition information and item information; and pushing health prompt information and article recommendation information to the target terminal based on the weight value.
In a third aspect, an embodiment of the present application provides a server, where the server includes: one or more processors; storage means for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any implementation of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method as described in any implementation manner of the first aspect.
According to the method and the device for pushing the information, the acquired behavior sent by the target terminal is analyzed, the attribute information corresponding to the target user is determined, and then the health prompt information and the article recommendation information are pushed to the target terminal based on the attribute information of the target user and the first region information where the target terminal is located, so that the targeted pushing is achieved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of a method for pushing information, according to the present application;
FIG. 3 is a schematic diagram of an application scenario of a method for pushing information according to the present application;
FIG. 4 is a flow diagram of yet another embodiment of a method for pushing information according to the present application;
FIG. 5 is a schematic block diagram illustrating one embodiment of an apparatus for pushing information according to the present application;
FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing a server according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows an exemplary system architecture 100 to which embodiments of the method for pushing information or web page generating device of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have various communication client applications installed thereon, such as a web browser application, a shopping application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like.
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background server providing support for web content displayed on the terminal devices 101, 102, 103. The background server can generate push information and push the push information to the terminal device after performing various analyses on the acquired behavior information.
It should be noted that the method for pushing information provided by the embodiment of the present application is generally performed by the server 105, and accordingly, the apparatus for pushing information is generally disposed in the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to fig. 2, a flow 200 of one embodiment of a method for pushing information in accordance with the present application is shown. The method for pushing the information comprises the following steps:
In this embodiment, an electronic device (for example, a server shown in fig. 1) on which the method for pushing information operates may acquire behavior information sent by a target user through a target terminal through a wired connection manner or a wireless connection manner. Here, the target terminal may be a terminal with which the target user performs a behavior such as page browsing, online shopping, or the like. The behavior information may include web browsing behavior, online shopping behavior, and the like. Here, the behavior information further includes login request information. As an example, when a user uses a terminal to perform online shopping, the user first needs to log in to the shopping application or the shopping page through a login account. When a target user sends a login request by using a login account, the login request usually includes a domain name and an IP address of a network used by the target user, and the electronic device can acquire the network domain name or the IP address of a target terminal used by the target user and match the network domain name or the IP address with each network domain name in a preset network domain-region corresponding table, so as to obtain first region information where the target terminal is located.
In this embodiment, when the user registers an account, personal information, such as personal preference information, attribute information of personal age, sex, and the like, is usually filled in, and this information is stored in the electronic device in advance as a user image of the user corresponding to the account. When the user browses or purchases a web page using the account, the electronic device may obtain a search log, a purchase record, and the like of the user. And classifies the user's search logs, shopping records, etc. and adds them to the user's portrait according to different categories. The electronic device may determine the user image of the target user according to the login request information of the target user obtained in step 201, and further determine the attribute information of the target user through the user image. Here, the attribute information of the user determined by the electronic device includes taste information and health condition information.
For example, when a user purchases a medicine such as "erythromycin" or "aspirin" through the account, the health information of the user may be determined to be "anti-inflammation" or "pain-relieving", and the health information tag such as "anti-inflammation" or "pain-relieving" may be stored in the user image of the user in advance. When the electronic device needs to acquire the health condition information, the tag word can be acquired as the health condition information.
And step 203, pushing health prompt information and article recommendation information to the target terminal based on the attribute information and the first area information.
In this embodiment, according to the first area information of the target user determined in step 202 and the attribute information of the user determined in step 202, the electronic device may push health promoting information and item recommendation information to the target terminal. Here, the health tip information may include at least one of: disease information and disease prevention information of the first region. Here, the disease prevention information may include information for preventing a disease of the first region, or may include prevention information based on a health condition of the target user. In this embodiment, the item recommendation information may include at least one of: item recommendation information corresponding to preference information, and item recommendation information corresponding to disease prevention. As an example, when the target user's liking is badminton, information of "badminton racket" may be pushed to the target user. For example, when the climate in the upper first region is dry and thus the fire is likely to be caused, the item recommendation information corresponding to the disease prevention may be "chrysanthemum tea", "grapefruit tea", or the like, and when the first region causes flu due to climate change, the item information such as "cold medicine", "mask", or the like may be recommended to the destination terminal.
In some optional implementations of the embodiment, the electronic device may determine whether the health condition information includes historical disease information. In response to determining that the health condition information does not include the historical disease information, item information of items included in the preference information may be further determined. Based on the determined health condition information and the determined article information, the weight values of the health prompt information and the article recommendation information can be set respectively. Here, since the health condition information in the user profile of the target user does not include disease information, the weight value of the health prompt information can be reduced, and the weight value of the item recommendation information can be increased, so that the user can be more interested in the recommended information while giving a health prompt to the user. And finally, pushing health prompt information and article recommendation information to the target terminal based on the weight value.
With continuing reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the method for pushing information according to the present embodiment. In the application scenario of fig. 3, a target user first sends behavior information including "login request information" 3021 and "order placement information" 3022 through the cellular phone 301. The server 303 matches the login account of the target user obtained from the "login request information" 3021 with the accounts in the account library, and determines the user image of the target user corresponding to the account after the matching is successful. Attribute information of a user included in a user profile of the target user includes taste information of "running" 3041 and health condition information of "allergic rhinitis" 3042. While server 303 may also determine disease information "flu" 305 for the first region. According to the taste information of 'running' 3041, the health condition information of 'allergic rhinitis' 3042 and the disease information of a first area 'flu' 305 server 303, health prompt information 'serious first area flu, high rhinitis incidence rate' 3061 ', radix isatidis preventable flu' and item recommendation information 'XX running shoe' 3062 'and' radix isatidis '3063' are pushed to the mobile phone 301 of the target user, at the moment, the target user can receive the information of 'serious first area flu, high rhinitis incidence rate' 3061 ', XX running shoe' 3062 ', radix isatidis preventable flu' and 'radix isatidis' 3063 through the mobile phone 301.
According to the method for pushing the information, the acquired behavior sent by the target terminal is analyzed, the attribute information corresponding to the target user is determined, and then the health prompt information and the article recommendation information are pushed to the target terminal based on the attribute information of the target user and the first region information where the target terminal is located, so that the targeted pushing is achieved.
With continued reference to fig. 4, a flow 400 of yet another embodiment of a method for pushing information in accordance with the present application is shown. The method for pushing the information comprises the following steps:
In this embodiment, an electronic device (for example, a server shown in fig. 1) on which the method for pushing information operates may acquire behavior information sent by a target user through a target terminal through a wired connection manner or a wireless connection manner. Here, the target terminal may be a terminal with which the target user performs a behavior such as page browsing, online shopping, or the like. The behavior information may include web browsing behavior, online shopping behavior, and the like. Here, the behavior information further includes login request information including first area information where the target terminal is located.
In this embodiment, the electronic device may determine, according to the login request information of the target user obtained in step 401, a user portrait of the target user according to the login account of the target user, and further determine attribute information of the target user through the user portrait. Here, the attribute information of the user determined by the electronic device includes taste information and health condition information.
In some optional implementations of the embodiment, the user representation includes historical browsing information and historical ordering information of the target user. The electronic equipment can perform semantic analysis on the historical browsing information and the historical ordering information of the target user to determine the occurrence frequency of first keywords for representing health and the occurrence frequency of second keywords for representing love in the historical browsing information and the historical ordering information. The method includes the steps of processing historical browsing information and historical ordering information by a full segmentation method, segmenting the content of the historical browsing information and the content of the historical ordering information into words, matching the segmented words with words in a preset health word library and a preset hobby word library respectively, and determining a first keyword for representing health and a second keyword for representing love according to matching results. And then respectively counting the occurrence times of the first keywords for representing health and the occurrence times of the second keywords for representing love. Then, in response to determining that the number of occurrences of the first keyword for representing health is greater than a preset threshold, information of the health condition of the target user corresponding to the first keyword may be determined. Here, the correspondence relationship between the first keyword indicative of health and the health condition information is set in advance. The health condition information of the target user may be the first keyword greater than the preset threshold, may also be a sentence including the first keyword greater than the preset threshold, and may also be a picture generated based on the first keyword greater than the preset threshold. And thirdly, in response to the fact that the frequency of occurrence of the second keyword is larger than a preset threshold value, determining the preference information of the target user corresponding to the second keyword. Here, the correspondence between the second keyword representing love and the taste information is set in advance. The preference information of the target user may be the second keyword greater than the preset threshold, a sentence including the second keyword greater than the preset threshold, or a picture generated based on the second keyword greater than the preset threshold.
In this embodiment, according to the first area information of the target user determined in step 202 and the attribute information of the user determined in step 202, the electronic device may push health promoting information and item recommendation information to the target terminal. Here, the health tip information may include at least one of: disease information and disease prevention information of the first region. The item recommendation information may include at least one of: item recommendation information corresponding to preference information, and item recommendation information corresponding to disease prevention.
In some optional implementation manners of this embodiment, the electronic device may acquire history search information sent by each user in the user set through the terminal within a preset time period, where the history search information includes information of an area where the terminal is located. And then, performing semantic analysis on the historical search information to determine a third key word corresponding to each piece of historical search information. The method for determining the third keyword corresponding to the historical search information is the same as the method for determining the first keyword and the second keyword in step 402, and is not repeated here. And then, matching the third key words with all words in a preset disease word bank, and determining the third key words for representing the diseases. Here, a third keyword that is the same as or similar to a word in the preset disease thesaurus may be determined as the third keyword for characterizing the disease. And thirdly, determining the frequency of the third key words which correspond to each area and are used for representing the diseases based on the area information of the terminal from which the historical search information corresponding to the third key words comes. Then, determining a third keyword which is used for representing the disease and corresponds to the first region with the occurrence frequency being greater than the preset threshold value, as a disease keyword corresponding to the first region, and determining disease information, disease prevention information and article recommendation information corresponding to the disease and corresponding to the disease keyword. As an example, when the disease keyword is "flu", the disease prevention information may be "flu is frequently produced in the first area, mainly goes out of the home and wears a mask, and prevents isatis root", and the item recommendation information corresponding to disease prevention is "mask" or "isatis root". And finally, pushing the determined disease information corresponding to the disease keywords, the determined disease prevention information and the determined article recommendation information corresponding to the disease prevention to the target terminal.
In this embodiment, the behavior information of the target user may further include ordering information. The order information may be order information for a user to purchase a bus ticket, a train ticket, an airplane ticket, etc. through a terminal application supported by the electronic device, may also be order information for a hotel in a certain second area reserved by the target user, may also be order information for a travel group purchase reserved by the target user, etc. The ordering information includes a second area. When the electronic equipment detects that the ordering information of the target user comprises the second area, the weather information and the disease information of the second area can be determined. Here, the weather information may include at least one of: air condition information, temperature information.
In this embodiment, according to the second area determined in step 404, and the weather information and the disease information of the second area, the electronic device may determine the item recommendation information corresponding to the weather of the second area and the item recommendation information corresponding to the disease prevention according to the weather information and the disease information of the second area. For example, the weather of the second area is "light rain", and "PM 2.5 is seriously out of limits", so the article recommendation information corresponding to the weather is "umbrella", "mask". Then, the electronic device may push weather information, disease information, item recommendation information corresponding to weather, and item recommendation information corresponding to disease prevention of the second area to the target terminal.
As can be seen from fig. 4, unlike the embodiment shown in fig. 2, the present embodiment highlights the step of pushing the weather information and the disease information of the second area, and the item recommendation information corresponding to the weather and the disease prevention of the second area to the terminal, so that the content of the pushed information is richer.
With further reference to fig. 5, as an implementation of the method shown in the above-mentioned figures, the present application provides an embodiment of an apparatus for pushing information, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be applied to various electronic devices.
As shown in fig. 5, the apparatus 500 for pushing information of the present embodiment includes: an acquisition unit 501, a first determination unit 502, and a first pushing unit 503. The obtaining unit 501 is configured to obtain behavior information sent by a target user through a target terminal, where the behavior information includes login request information, and the login request information includes information of a first area where the target terminal is located; the first determining unit 502 is configured to determine attribute information of a target user according to a preset user portrait of the target user, wherein the attribute information includes preference information and health condition information; and the first pushing unit 503 is configured to push the health promoting information and the item recommendation information to the target terminal based on the attribute information and the first area information, where the health promoting information includes at least one of the following: disease information and disease prevention information of the first region; the item recommendation information includes at least one of: item recommendation information corresponding to preference information, and item recommendation information corresponding to disease prevention.
In the present embodiment, in the apparatus 500 for pushing information: the specific processing of the obtaining unit 501, the first determining unit 502, and the first pushing unit 503 and the technical effects thereof can refer to the related descriptions of step 201, step 202, and step 203 in the corresponding embodiment of fig. 2, which are not repeated herein.
In some optional implementations of this embodiment, the user representation includes historical browsing information and historical ordering information of the target user; and the first determining unit 502 is further configured to: performing semantic analysis on the historical browsing information and the historical ordering information, and determining the occurrence times of first keywords for representing health and the occurrence times of second keywords for representing love in the historical browsing information and the historical ordering information; in response to the fact that the occurrence frequency of the first keyword is larger than a preset threshold value, determining health condition information of the target user corresponding to the first keyword, wherein the corresponding relation between the first keyword representing health and the health condition information is preset; and in response to the fact that the frequency of occurrence of the second keyword is larger than a preset threshold value, determining preference information of the target user corresponding to the second keyword, wherein the corresponding relation between the second keyword representing preference and the preference information is preset.
In some embodiments, the first pushing unit 503 includes: an obtaining subunit (not shown), configured to obtain history search information sent by each user in the user set through the terminal within a preset time period, where the history search information includes information of an area where the terminal is located; a first determining subunit (not shown) configured to perform semantic analysis on the historical search information, and determine a third keyword corresponding to each historical search information; a second determining subunit (not shown) configured to match the third keyword with each word in the preset disease word library, and determine the third keyword for characterizing the disease; a third determining subunit (not shown) configured to determine, based on the area information where the terminal from which the history search information corresponding to the third keyword is located, a frequency of occurrence of the third keyword corresponding to each area for characterizing the disease; a fourth determining subunit (not shown) configured to determine, as a disease keyword corresponding to the first region, a third keyword corresponding to the first region, the occurrence frequency of which is greater than a preset threshold value, for characterizing a disease, and determine disease information corresponding to the disease keyword, disease prevention information, and item recommendation information corresponding to the disease prevention; and a pushing subunit (not shown) configured to push the determined disease information corresponding to the disease keyword, the disease prevention information, and the item recommendation information corresponding to the disease prevention to the target terminal.
In some optional implementations of this embodiment, the behavior information further includes ordering information; and the apparatus 500 further comprises: a second determining unit (not shown) configured to determine weather information and disease information of the second area in response to determining that the order placing information includes second area information, wherein the weather information includes at least one of: air condition information, temperature information; and a second pushing unit (not shown) configured to determine item recommendation information corresponding to the weather of the second area and item recommendation information corresponding to disease prevention based on the weather information and the disease information of the second area, and push the weather information, the disease information, the item recommendation information corresponding to the weather of the second area and the item recommendation information corresponding to disease prevention to the target terminal.
In some optional implementations of this embodiment, the first pushing unit 503 is further configured to: determining whether the health condition information contains historical disease information; determining category information of items contained in the taste information in response to determining that the historical disease information is not contained in the health condition information; respectively setting weight values of health prompt information and item recommendation information based on the determined health condition information and item information; and pushing health prompt information and article recommendation information to the target terminal based on the weight value.
Referring now to FIG. 6, shown is a block diagram of a computer system 600 suitable for use in implementing the electronic device of an embodiment of the present application. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage section 606 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An Input/Output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: a storage portion 606 including a hard disk and the like; and a communication section 607 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 607 performs communication processing via a network such as the internet. Drivers 608 are also connected to the I/O interface 605 as needed. A removable medium 609 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 608 as necessary, so that a computer program read out therefrom is mounted into the storage section 606 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 607 and/or installed from the removable medium 609. The computer program performs the above-described functions defined in the method of the present application when executed by a Central Processing Unit (CPU) 601. It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a first determination unit, and a first pushing unit. The names of these units do not in some cases constitute a limitation to the unit itself, and for example, the acquiring unit may also be described as a "unit that acquires behavior information transmitted by a target user through a target terminal".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: acquiring behavior information sent by a target user through a target terminal, wherein the behavior information comprises login request information, and the login request information comprises first area information of the target terminal; determining attribute information of a target user according to a preset user portrait of the target user, wherein the attribute information comprises hobby information and health condition information; pushing health prompt information and article recommendation information to a target terminal based on the attribute information and the first area information, wherein the health prompt information comprises at least one of the following items: disease information and disease prevention information of the first region; the item recommendation information includes at least one of: item recommendation information corresponding to preference information, and item recommendation information corresponding to disease prevention.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (10)
1. A method for pushing information, comprising:
acquiring behavior information sent by a target user through a target terminal, wherein the behavior information comprises login request information, and the login request information comprises first area information of the target terminal;
determining attribute information of the target user according to a preset user portrait of the target user, wherein the attribute information comprises hobby information and health condition information;
pushing health prompt information and article recommendation information to the target terminal based on the attribute information and the first area information, wherein the health prompt information comprises at least one of the following items: disease information and disease prevention information of the first region; the item recommendation information includes at least one of: item recommendation information corresponding to the preference information and item recommendation information corresponding to disease prevention; wherein the content of the first and second substances,
the pushing health prompt information and item recommendation information to the target terminal based on the attribute information and the first region information comprises:
determining whether historical disease information is included in the health condition information;
in response to determining that historical disease information is not included in the health condition information, determining category information for items included in the preference information;
respectively setting weight values of the health prompt information and the item recommendation information based on the determined health condition information and the item information;
and pushing the health prompt information and the item recommendation information to the target terminal based on the weight value.
2. The method of claim 1, wherein the user representation includes historical browsing information and historical ordering information of the target user; and
the determining the attribute information of the target user according to the preset user portrait of the target user comprises the following steps:
performing semantic analysis on the historical browsing information and the historical ordering information, and determining the occurrence frequency of a first keyword for representing health and the occurrence frequency of a second keyword for representing love in the historical browsing information and the historical ordering information;
in response to the fact that the number of times of occurrence of the first keyword is larger than a preset threshold value, determining health condition information of the target user corresponding to the first keyword, wherein the corresponding relation between the first keyword representing health and the health condition information is preset;
and in response to the fact that the frequency of occurrence of the second keyword is larger than a preset threshold value, determining preference information of the target user corresponding to the second keyword, wherein the corresponding relation between the second keyword representing preference and the preference information is preset.
3. The method of claim 2, wherein the pushing health tips information and item recommendation information to the target terminal based on the attribute information and the first area information comprises:
acquiring historical search information sent by each user in a user set through a terminal within a preset time period, wherein the historical search information comprises regional information of the terminal;
performing semantic analysis on the historical search information, and determining third key words corresponding to the historical search information;
matching the third key words with all words in a preset disease word bank, and determining the third key words for representing diseases;
determining the frequency of occurrence of third key words used for representing diseases corresponding to each region based on the region information of the terminal from which the historical search information corresponding to the third key words comes;
determining a third keyword which is used for representing a disease and has an occurrence frequency larger than a preset threshold value and corresponds to the first region as a disease keyword corresponding to the first region, and determining disease information, disease prevention information and article recommendation information corresponding to disease prevention and corresponding to the disease keyword;
and pushing the determined disease information corresponding to the disease keyword, the disease prevention information and the article recommendation information corresponding to the disease prevention to the target terminal.
4. The method of claim 1, wherein the behavioral information further comprises ordering information; and
the method further comprises the following steps:
in response to determining that the ordering information includes second region information, determining weather information and disease information of a second region, wherein the weather information includes at least one of: air condition information, temperature information;
and determining article recommendation information corresponding to the weather of the second area and article recommendation information corresponding to disease prevention based on the weather information and the disease information of the second area, and pushing the weather information and the disease information of the second area, the article recommendation information corresponding to the weather of the second area and the article recommendation information corresponding to disease prevention to the target terminal.
5. An apparatus for pushing information, comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to acquire behavior information sent by a target user through a target terminal, the behavior information comprises login request information, and the login request information comprises first area information where the target terminal is located;
the first determining unit is configured to determine attribute information of the target user according to a preset user portrait of the target user, wherein the attribute information comprises preference information and health condition information;
a first pushing unit, configured to push health promoting information and item recommendation information to the target terminal based on the attribute information and the first area information, where the health promoting information includes at least one of the following: disease information and disease prevention information of the first region; the item recommendation information includes at least one of: item recommendation information corresponding to the preference information and item recommendation information corresponding to disease prevention; wherein the content of the first and second substances,
the first pushing unit is further configured to:
determining whether historical disease information is included in the health condition information;
in response to determining that historical disease information is not included in the health condition information, determining category information for items included in the preference information;
respectively setting weight values of the health prompt information and the item recommendation information based on the determined health condition information and the item information;
and pushing the health prompt information and the item recommendation information to the target terminal based on the weight value.
6. The apparatus of claim 5, wherein the user representation includes historical browsing information and historical ordering information of the target user; and
the first determination unit is further configured to:
performing semantic analysis on the historical browsing information and the historical ordering information, and determining the occurrence frequency of a first keyword for representing health and the occurrence frequency of a second keyword for representing love in the historical browsing information and the historical ordering information;
in response to the fact that the number of times of occurrence of the first keyword is larger than a preset threshold value, determining health condition information of the target user corresponding to the first keyword, wherein the corresponding relation between the first keyword representing health and the health condition information is preset;
and in response to the fact that the frequency of occurrence of the second keyword is larger than a preset threshold value, determining preference information of the target user corresponding to the second keyword, wherein the corresponding relation between the second keyword representing preference and the preference information is preset.
7. The apparatus of claim 6, wherein the first pushing unit comprises:
the acquisition subunit is configured to acquire historical search information sent by each user in the user set through the terminal within a preset time period, wherein the historical search information includes information of an area where the terminal is located;
the first determining subunit is configured to perform semantic analysis on the historical search information and determine third key words corresponding to the historical search information;
the second determining subunit is configured to match the third key word with each word in a preset disease word bank, and determine the third key word for representing the disease;
the third determining subunit is configured to determine, based on the area information where the terminal is located from the history search information corresponding to the third keyword, a frequency of occurrence of the third keyword corresponding to each area and used for representing the disease;
a fourth determining subunit, configured to determine, as a disease keyword corresponding to the first region, a third keyword corresponding to the first region, where the occurrence frequency is greater than a preset threshold, and the third keyword is used for representing a disease, and determine disease information, disease prevention information, and item recommendation information corresponding to disease prevention, which correspond to the disease keyword;
and the pushing subunit is configured to push the determined disease information corresponding to the disease keyword, the determined disease prevention information and the determined item recommendation information corresponding to the disease prevention to the target terminal.
8. The apparatus of claim 5, wherein the behavior information further comprises ordering information; and
the device further comprises:
a second determining unit, configured to determine weather information and disease information of a second area in response to determining that the ordering information includes second area information, where the weather information includes at least one of: air condition information, temperature information;
and the second pushing unit is configured to determine item recommendation information corresponding to the weather of the second area and item recommendation information corresponding to disease prevention based on the weather information and the disease information of the second area, and push the weather information and the disease information of the second area, the item recommendation information corresponding to the weather of the second area and the item recommendation information corresponding to disease prevention to the target terminal.
9. A server, the server comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-4.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-4.
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| CN113555105A (en) * | 2020-04-24 | 2021-10-26 | 阿里健康信息技术有限公司 | Method and device for recommending medical products |
| CN114398560B (en) * | 2022-03-24 | 2022-05-27 | 深圳市秦丝科技有限公司 | Marketing interface setting method, device, equipment and medium based on WEB platform |
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