CN110049358B - Television-based article pushing method and system - Google Patents
Television-based article pushing method and system Download PDFInfo
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- CN110049358B CN110049358B CN201810043607.6A CN201810043607A CN110049358B CN 110049358 B CN110049358 B CN 110049358B CN 201810043607 A CN201810043607 A CN 201810043607A CN 110049358 B CN110049358 B CN 110049358B
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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
- H04L67/55—Push-based network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25875—Management of end-user data involving end-user authentication
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- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
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- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/436—Interfacing a local distribution network, e.g. communicating with another STB or one or more peripheral devices inside the home
- H04N21/4363—Adapting the video stream to a specific local network, e.g. a Bluetooth® network
- H04N21/43637—Adapting the video stream to a specific local network, e.g. a Bluetooth® network involving a wireless protocol, e.g. Bluetooth, RF or wireless LAN [IEEE 802.11]
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- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
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Abstract
The invention discloses a television-based article pushing method and system, and relates to the technical field of computers. One embodiment of the method comprises: acquiring at least one user identity, and outputting the user identity to a server side so that the server side matches user information through the user identity; receiving article recommendation information pushed by a server; the article recommendation information is generated by the server according to the historical shopping behavior data corresponding to the matched user information; and displaying the item corresponding to the item recommendation information to the user. According to the article pushing method provided by the embodiment of the invention, the user information is matched by the user identity identifier, article recommendation information is generated according to historical shopping behavior data corresponding to the user information, and the article recommendation information is pushed on a television. By means of the mode, historical shopping behavior data of the user is combined with television pushing, and accurate article pushing can be carried out without the user logging in an e-commerce APP on a television.
Description
Technical Field
The invention relates to the field of computers, in particular to a television-based article pushing method and system.
Background
With the rapid development of electronic commerce, shopping on a smart television through a network has become a hot trend. When pushing articles on the smart television at present, the articles need to be pushed to the user by the e-commerce APP after the user logs in the e-commerce APP (Application) of the smart television.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art: the user is required to log in the E-commerce APP of the smart television to push the articles.
Disclosure of Invention
In view of this, the embodiment of the present invention provides a method and a system for pushing an article based on a television. According to the article pushing method provided by the embodiment of the invention, the user information is matched by the user identity identification, article recommendation information is generated according to historical shopping behavior data corresponding to the user information, and the article recommendation information is pushed on a television. By means of the mode, historical shopping behavior data of the user is combined with television pushing, and accurate article pushing can be carried out without the user logging in an e-commerce APP on a television.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a television-based item pushing method.
The article pushing method based on the television comprises the following steps: acquiring at least one user identity, and outputting the user identity to a server side so that the server side matches user information through the user identity; receiving article recommendation information pushed by the server; the item recommendation information is generated by the server according to historical shopping behavior data corresponding to the matched user information; and displaying the item corresponding to the item recommendation information to the user.
Optionally, the user identity is multiple; before the step of outputting the user identity to the server, the method further comprises: acquiring a signal intensity value of a user terminal corresponding to each user identity, and outputting the signal intensity value to the server; the generation process of the item recommendation information comprises the following steps: calculating the recommended quantity of articles corresponding to each user information according to each signal intensity value, the quantity of the user identity identifications and the number of pit positions of a television; obtaining initial recommendation information according to the item recommendation quantity corresponding to each piece of user information and item recommendation information generated based on the historical shopping behavior data; and sequencing the initial recommendation information according to the signal intensity value to obtain final article recommendation information.
Optionally, after the step of obtaining the signal strength value of the user terminal corresponding to each user identity and before the step of outputting the signal strength value to the server, the method further includes: screening out the user terminals with the signal intensity value being greater than or equal to a preset signal intensity threshold value; the outputting the user identity to a server includes: outputting the user identity corresponding to the screened user terminal to the server; the outputting the signal strength value to the server includes: and outputting the screened signal intensity value corresponding to the user terminal to the server.
Optionally, the obtaining at least one user identity includes: and monitoring whether the user exists in a preset monitoring range in real time through a camera, and acquiring the user identity when the user exists.
Optionally, the user identity is a bluetooth physical address of the corresponding user terminal, and the signal strength value is a bluetooth signal strength value.
To achieve the above object, according to an aspect of the embodiments of the present invention, a television-based item pushing system is provided.
The invention provides a television-based article pushing system, which comprises: the output module is used for acquiring at least one user identity and outputting the user identity to the server so that the server matches user information through the user identity; the receiving module is used for receiving the item recommendation information pushed by the server; the item recommendation information is generated by the server according to historical shopping behavior data corresponding to the matched user information; and the display module is used for displaying the article corresponding to the article recommendation information to the user.
Optionally, the user identity is multiple; the system further comprises: the acquisition module is used for acquiring a signal intensity value of the user terminal corresponding to each user identity and outputting the signal intensity value to the server; the system further comprises: the article recommendation information generation module is used for calculating the article recommendation quantity corresponding to each user information according to each signal intensity value, the quantity of the user identity identifications and the pit position quantity of the television; obtaining initial recommendation information according to the item recommendation quantity corresponding to each piece of user information and item recommendation information generated based on the historical shopping behavior data; and sequencing the initial recommendation information according to the signal strength value to obtain final article recommendation information.
Optionally, the system further comprises: the screening module is used for screening out the user terminals of which the signal intensity values are greater than or equal to a preset signal intensity threshold value; the output module is further configured to output the user identity identifier corresponding to the screened user terminal to the server; the obtaining module is further configured to output the signal strength value corresponding to the screened user terminal to the server.
Optionally, the output module is further configured to monitor whether the user exists in a preset monitoring range in real time through a camera, and when the user exists, obtain the user identity.
To achieve the above object, according to still another aspect of embodiments of the present invention, there is provided an electronic apparatus.
An electronic device of an embodiment of the present invention includes: one or more processors; a storage device, configured to store one or more programs, which when executed by the one or more processors, cause the one or more processors to implement a television-based item pushing method according to an embodiment of the present invention.
To achieve the above object, according to still another aspect of embodiments of the present invention, there is provided a computer-readable medium.
A computer-readable medium of an embodiment of the present invention stores thereon a computer program, which when executed by a processor implements a television-based item pushing method of an embodiment of the present invention.
One embodiment of the above invention has the following advantages or benefits: each user is distinguished through the user identity identification, historical shopping behavior data of the user is combined with television pushing, and accurate article pushing can be carried out without the need that the user logs in an e-commerce APP on a television; calculating the recommended quantity of articles of each user based on the signal intensity value, and pushing favorite articles by multiple users when watching the television at the same time; according to historical shopping behavior data such as historical order information, historical browsed article information and shopping cart information, article recommendation information of each user is generated, and recommendation accuracy is high; different users are distinguished through the Bluetooth physical addresses of the user terminals, and as long as the user terminals are close to the intelligent television, the intelligent television can obtain peripheral Bluetooth physical addresses, so that the users can accurately receive the article recommendation information without perception.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a schematic diagram of the main steps of a television-based item push method according to an embodiment of the present invention;
fig. 2 is a schematic main flow chart of a television-based item pushing method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the main modules of a television-based item push system according to an embodiment of the present invention;
FIG. 4 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
FIG. 5 is a schematic diagram of a computer apparatus suitable for use in an electronic device to implement an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic diagram of the main steps of a television-based item pushing method according to an embodiment of the present invention. As shown in fig. 1, the method for pushing an article based on a television according to the embodiment of the present invention mainly includes the following steps:
step S101: the method comprises the steps of obtaining at least one user identity, and outputting the user identity to a server side so that the server side can match user information through the user identity. The user id is used to distinguish different users, and may be, for example, a bluetooth MAC (Media Access Control) address and an IP (Internet Protocol) address of a terminal (such as a mobile phone or a tablet) used by the user, or may be biometric information of the user. The bluetooth MAC address is also called a bluetooth physical address. The television can acquire the Bluetooth MAC address of the user terminal in a mode of scanning peripheral Bluetooth signals and output the Bluetooth MAC address to the server side. The user information may be a user Identification (ID). After receiving the user identity from the television, the server side inquires the binding information in the database according to the user identity so as to obtain the user information corresponding to the user identity. The binding information stores the association relationship between the user identity and the user information.
Step S102: receiving article recommendation information pushed by the server; and the item recommendation information is generated by the server according to the historical shopping behavior data corresponding to the matched user information. The server searches a database according to the matched user information to obtain historical shopping behavior data corresponding to the user information, generates item recommendation information corresponding to the user information according to the historical shopping behavior data, and then pushes the item recommendation information to a television.
Step S103: and displaying the item corresponding to the item recommendation information to the user. Wherein the item recommendation information includes an item ID. And after the television receives the item recommendation information pushed by the server, the television acquires a corresponding picture and/or video from the server according to the item ID, and displays the acquired picture and/or video on a display screen.
Fig. 2 is a schematic main flow chart of a television-based item pushing method according to an embodiment of the present invention. As shown in fig. 2, the television in the embodiment of the method for pushing an article based on a television according to the embodiment of the present invention is an intelligent television, and mainly includes the following steps:
step S201: the user terminal obtains the Bluetooth MAC address of the user terminal, and when the user terminal receives a user login request, the Bluetooth MAC address, the user name and the password are sent to the server side. The user terminal can be a mobile phone, a tablet computer and the like; taking an android mobile phone as an example, the MAC address acquisition interface of the bluetooth module of the android mobile phone is open and broadcast to the outside, and can acquire the bluetooth MAC address of the local machine through the APP of the android mobile phone. When a user logs in an e-commerce APP through an android mobile phone, a user name and a password are obtained, and then the Bluetooth MAC address, the user name and the password are sent to a server side.
Step S202: the server searches for the user ID through the user name, binds the user ID with the Bluetooth MAC address, and stores the binding information in a database. Step S201 and step S202 are preparation processes, and start with step S203 as an article pushing process.
Step S203: the intelligent television scans peripheral Bluetooth signals to obtain a Bluetooth MAC address and a Bluetooth signal strength value of the user terminal, screens the user terminal according to a preset signal strength threshold value, and sends the screened Bluetooth MAC address of the user terminal, the corresponding Bluetooth signal strength value and the MAC address of the intelligent television to the server side. In the embodiment of the invention, the articles can be pushed only when the intelligent television and the user terminal both open the Bluetooth function of the intelligent television and the user terminal. The bluetooth Signal Strength value is an RSSI (Received Signal Strength Indication) value, and the preset Signal Strength threshold is determined empirically. In a preferred embodiment, the user terminals with the bluetooth signal strength value greater than or equal to the preset signal strength threshold are left. In the embodiment of the invention, the intelligent television can also acquire the IP address of the user terminal, but the intelligent television and the user terminal are required to carry out information interaction during acquisition (after the user terminal is connected with the intelligent television, the user terminal actively sends the IP address to the intelligent television), and compared with a mode that the Bluetooth MAC address can be acquired by direct scanning, the method is complex to realize and low in speed.
In the step, the smart television can scan peripheral Bluetooth signals regularly or irregularly until the Bluetooth MAC address is obtained. However, in this way, regardless of whether a user exists around the smart television, the smart television is always in an operating state and consumes electric energy. In a preferred embodiment, whether a user exists in a preset monitoring range can be monitored in real time through a camera connected with the smart television, and if the user exists, an instruction is sent to the television, so that the television pushes articles according to steps S203 to S211. The preset monitoring range is customized by a user, for example, the preset monitoring range can be a range radiating 5 meters forward by taking a television center as a center. The camera and the television can be integrated into a whole or can be separately arranged, and when the camera and the television are separately arranged, the camera and the television need to be connected in a wireless or wired mode. Through the mode, the object pushing process can be triggered only when a user exists around the smart television, and the pushing is accurate and the energy consumption is low.
Step S204: the server side inquires the binding information in the database according to the received Bluetooth MAC address so as to match the user ID, and if the user ID is matched, the step S206 is executed; if the user ID is not matched, step S205 is performed.
Step S205: and the server generates item recommendation information randomly or according to the historical browsing data of the smart television, and executes the step S210. Wherein, the historical browsing data can be browsing data of the last week or month.
Step S206: and the server generates a user list from all the matched user IDs, and generates item recommendation information corresponding to each user ID according to historical shopping behavior data of each user ID in the user list on a shopping platform. The platform comprises an e-commerce APP (application) and an e-commerce website of the smart phone. The historical shopping behavior data comprises historical order information, historical viewed item information and shopping cart information. The item recommendation information in the embodiment is an item recommendation list, and the specific implementation process of the step is as follows:
(1) inquiring the historical order information according to the user ID to screen out the first 5 items of item information which are purchased most in the historical order information, and taking the item information as first item information;
(2) inquiring the historical browsed article information according to the user ID, screening the first 5 pieces of article information with the latest browsing time according to the browsing time in the historical browsed article information, and taking the article information as second article information;
(3) inquiring the shopping cart information according to the user ID so as to screen out the first 5 items of information with the nearest purchase time according to the purchase time in the shopping cart information, and taking the items of information as third item information;
(4) finding out article information meeting preset conditions from the article information with the same type as the first article information as fourth article information; finding out the article information meeting the preset condition from the article information with the same type as the second article information as fifth article information; the product category can be determined according to the consumer demand and the product attribute, for example, electric cookers of different brands belong to the same product category; the preset conditions are set by a user in a self-defined way, for example, the preset conditions can be that the evaluation data and the purchase data are the most;
(5) and sequencing the third article information, the fourth article information and the fifth article information, and taking the sequenced article information as an article recommendation list corresponding to the user ID. In the embodiment, the third item information is stored at the forefront of the item recommendation list, and the fourth item information and the fifth item information are sequentially stored in the item recommendation list according to the height of the comprehensive evaluation data.
The number of the first, second and third item information screened in the above process is customized by the user, but the total number of the finally screened item information needs to be greater than or equal to the number of the pit positions of the smart television, and 5 items are screened in the embodiment. In the step (4), the first article information and the second article information are respectively replaced by the article information with the same type, and the article information added into the shopping cart is an article with higher possibility of being purchased by a user, so that the third article information does not need to be replaced.
In another preferred embodiment, the first item information in step (4) may also be replaced by the item information of other users that has been purchased and is of the same type as the first item information. The second item information can also be replaced by the item information which is browsed by other users and has the same type as the second item information.
Step S207: and the server calculates the recommended quantity of the articles corresponding to each user ID according to the matched Bluetooth signal strength value corresponding to the user ID, the quantity of the Bluetooth MAC addresses and the pit number of the smart television. The larger the Bluetooth signal intensity value is, the closer the user is to the television, so that the item recommendation list corresponding to each user ID can be weighted according to the Bluetooth signal intensity value to obtain the item recommendation quantity corresponding to each user ID. Assuming that 15 items of item information exist in the item recommendation list corresponding to each user ID, matching succeeds in 2 Bluetooth MAC addresses, the Bluetooth signal intensity value of the user ID1 is 4, the Bluetooth signal intensity value of the user ID2 is 1, and the number of pit bits of the smart television is 10; the final recommended number of items by the user ID1 is 10 (4/5) to 8, and the final recommended number of items by the user ID2 is 10 (1/5) to 2.
In step S207, when calculating the recommended quantity of articles, if the calculated quantity is not an integer, then rounding down is needed, and the number of pit bits of the smart tv is differentiated from the recommended quantity of articles corresponding to all the calculated user IDs, where the difference is equal to the recommended quantity of articles corresponding to the user ID with the calculated bluetooth signal strength value being largeAnd a final recommended quantity of items for the user ID. In the above embodiment, assuming that the bluetooth signal strength value of the user ID1 is 5 and the bluetooth signal strength value of the user ID2 is 2, the recommended quantity of the items calculated by the user ID1 is 5
The recommended quantity of items calculated by the user ID2 is
In the formula (I), the compound is shown in the specification,
indicating a rounding down. The final recommended quantity of items for the user ID1 is 7+ (10-7-2) ═ 8, and the final recommended quantity of items for the user ID2 is 2.
Step S208: and the server side obtains initial recommendation information according to the item recommendation quantity corresponding to each user ID and the item recommendation information. Assuming that the recommended quantity of the items of the user ID1 is 8 and the recommended quantity of the items of the user ID2 is 2, selecting the first 8 items from the item recommendation list corresponding to the user ID1 as the initial recommendation information of the user 1; the top 2 items are selected from the item recommendation list corresponding to the user ID2 as the initial recommendation information of the user 2.
Step S209: and the server sorts the initial recommendation information according to the intensity of the Bluetooth signal intensity value to obtain final article recommendation information. Since the bluetooth signal intensity value of the user 1 is greater than that of the user 2, the initial recommendation information of the user 1 is placed in front of the user 2 in the final item recommendation information.
Step S210: and the server side pushes the final item recommendation information to a corresponding smart television home page in a list form according to the received MAC address of the smart television. Wherein the item recommendation information includes an item ID. If the user ID is not matched in the step S204, the item recommendation information is generated according to historical browsing data of the smart television or randomly generated; if the user ID is matched in step S204, the item recommendation information here is the final item recommendation information obtained after sorting in step S209.
Step S211: after receiving the item recommendation information in the form of the list, the smart television acquires the picture and/or video of the corresponding item from the server according to the item ID so as to display the acquired picture and/or video to the user. The smart television sends a picture and/or video acquisition request of a corresponding article to the server according to the article ID; and the server returns the picture and/or video of the corresponding article according to the acquisition request.
In a preferred embodiment, if the smart television acquires a new bluetooth MAC address by scanning, the server needs to sequentially execute steps S204 to S206 with respect to the new bluetooth MAC address to acquire item recommendation information corresponding to a new user ID; then recalculating the recommended quantity and the initial recommended information of the articles corresponding to the current user IDs, and performing sequencing again according to the Bluetooth signal intensity value to obtain new recommended information of the articles; and pushing the new item recommendation information to the smart television.
According to the television-based article pushing method, each user is distinguished through the user identity identification, the historical shopping behavior data of the user is combined with television pushing, and accurate article pushing can be carried out without the user logging in an e-commerce APP on a television; calculating the recommended quantity of articles of each user based on the signal intensity value, and pushing favorite articles by multiple users when watching the television at the same time; according to historical shopping behavior data such as historical order information, historical browsed article information and shopping cart information, article recommendation information of each user is generated, and recommendation accuracy is high; different users are distinguished through the Bluetooth physical addresses of the user terminals, and as long as the user terminals are close to the intelligent television, the intelligent television can obtain the peripheral Bluetooth physical addresses, so that the users can accurately receive the article recommendation information under the condition of no perception.
Fig. 3 is a schematic diagram of the main modules of the television-based item push system according to the embodiment of the present invention. As shown in fig. 3, a television-based item pushing system 300 according to an embodiment of the present invention mainly includes:
the output module 301 is configured to obtain at least one user identity, and output the user identity to a server, so that the server matches user information through the user identity. The user id is used to distinguish different users, and may be, for example, a bluetooth MAC address or an IP address of a terminal used by the user. The television can acquire the Bluetooth MAC address of the user terminal in a mode of scanning peripheral Bluetooth signals and output the Bluetooth MAC address to the server side. The user information may be a user identification. After receiving the user identity from the television, the server side inquires the binding information in the database according to the user identity so as to obtain the user information corresponding to the user identity. The binding information stores the association relationship between the user identity and the user information.
A receiving module 302, configured to receive item recommendation information pushed by the server; and the item recommendation information is generated by the server according to the historical shopping behavior data corresponding to the matched user information. The server searches a database according to the matched user information to obtain historical shopping behavior data corresponding to the user information, generates item recommendation information corresponding to the user information according to the historical shopping behavior data, and then pushes the item recommendation information to a television.
And the display module 303 is configured to display the item corresponding to the item recommendation information to the user. Wherein the item recommendation information includes an item identification. And after the television receives the item recommendation information pushed by the server, the television acquires a corresponding picture and/or video from the server according to the item ID, and displays the acquired picture and/or video on a display screen.
In addition, the television-based item pushing system 300 according to the embodiment of the present invention may further include: the system comprises an acquisition module, a screening module, an item recommendation information generation module and a monitoring module (not shown in the figure). The obtaining module is configured to obtain a signal strength value of the user terminal corresponding to each user identity, and output the signal strength value to the server. The article recommendation information generation module is used for calculating the article recommendation quantity corresponding to each user information according to each signal intensity value, the quantity of the user identity identifications and the pit position quantity of the television; obtaining initial recommendation information according to the item recommendation quantity corresponding to each piece of user information and item recommendation information generated based on the historical shopping behavior data; and sequencing the initial recommendation information according to the signal strength value to obtain final article recommendation information. And the screening module is used for screening out the user terminals with the signal intensity value being greater than or equal to a preset signal intensity threshold value. And the monitoring module is used for monitoring whether a user exists in a preset monitoring range in real time through the camera, and changing the television from a power-off state or a standby state to a power-on state when the user exists.
As can be seen from the above description, each user is distinguished by the user identity, and the historical shopping behavior data of the user is combined with television pushing, so that accurate item pushing can be performed without the user logging in to the e-commerce APP on the television; calculating the recommended quantity of articles of each user based on the signal intensity value, and pushing favorite articles by multiple users when watching the television at the same time; according to historical shopping behavior data such as historical order information, historical browsed article information and shopping cart information, article recommendation information of each user is generated, and recommendation accuracy is high; different users are distinguished through the Bluetooth physical addresses of the user terminals, and as long as the user terminals are close to the intelligent television, the intelligent television can obtain the peripheral Bluetooth physical addresses, so that the users can accurately receive the article recommendation information under the condition of no perception.
Fig. 4 illustrates an exemplary system architecture 400 of a television-based item pushing method or a television-based item pushing apparatus to which an embodiment of the present invention may be applied.
As shown in fig. 4, the system architecture 400 may include a smart tv 401, a network 404, and a server 405. The network 404 is used to provide a medium for a communication link between the smart tv 401 and the server 405. Network 404 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use the smart tv 401 to interact with a server 405 via a network 404 to receive or send messages or the like. Various messaging client applications, such as shopping applications, web browser applications, search applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only) may be installed on the smart tv 401.
The server 405 may be a server that provides various services, such as a background management server (for example only) that supports click events generated by a user using the smart tv 401. The background management server may analyze and otherwise process the received click data, text content, and other data, and feed back a processing result (for example, target push information, product information — just an example) to the smart television.
It should be noted that the television-based item pushing method provided in the embodiment of the present application is generally executed by the smart television 401, and accordingly, the television-based item pushing system is generally disposed in the smart television 401.
It should be understood that the number of smart tvs, networks, and servers in fig. 4 is merely illustrative. There may be any number of smart televisions, networks, and servers, as desired for implementation.
The invention also provides an electronic device and a computer readable medium according to the embodiment of the invention.
The electronic device of the present invention includes: one or more processors; a storage device, configured to store one or more programs, which when executed by the one or more processors, cause the one or more processors to implement a television-based item pushing method according to an embodiment of the present invention.
The computer readable medium of the present invention has stored thereon a computer program, which when executed by a processor implements a television-based item pushing method of an embodiment of the present invention.
Referring now to FIG. 5, shown is a block diagram of a computer system 500 suitable for use in implementing an electronic device of an embodiment of the present invention. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the computer system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, the processes described above with respect to the main step diagrams may be implemented as computer software programs, according to embodiments of the present disclosure. 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 containing program code for performing the method illustrated in the main step diagram. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the present invention can 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 invention, 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 the present invention, 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 any of a variety of 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 invention. 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 or flowchart illustration, and combinations of blocks in the block diagrams 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 modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes an output module, a receiving module, and a display module. The names of the units do not form a limitation on the units themselves in some cases, for example, the output module may also be described as a module that acquires at least one user identity and outputs the user identity to the server, so that the server matches the user information with the user identity.
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: acquiring at least one user identity, and outputting the user identity to a server side so that the server side matches user information through the user identity; receiving article recommendation information pushed by the server; the item recommendation information is generated by the server according to historical shopping behavior data corresponding to the matched user information; and displaying the item corresponding to the item recommendation information to the user.
As can be seen from the above description, each user is distinguished by the user identity, and the historical shopping behavior data of the user is combined with television pushing, so that accurate item pushing can be performed without the user logging in to the e-commerce APP on the television; calculating the recommended quantity of articles of each user based on the signal intensity value, and pushing favorite articles by multiple users when watching the television at the same time; according to historical shopping behavior data such as historical order information, historical browsed article information and shopping cart information, article recommendation information of each user is generated, and recommendation accuracy is high; different users are distinguished through the Bluetooth physical addresses of the user terminals, and as long as the user terminals are close to the intelligent television, the intelligent television can obtain the peripheral Bluetooth physical addresses, so that the users can accurately receive the article recommendation information under the condition of no perception.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A television-based item pushing method is characterized by comprising the following steps:
acquiring a plurality of user identity identifications, and outputting the user identity identifications to a server side so that the server side matches user information through the user identity identifications;
receiving article recommendation information pushed by the server; the item recommendation information is generated by the server according to historical shopping behavior data corresponding to the matched user information;
displaying the item corresponding to the item recommendation information to a user;
before the step of outputting the user identity to the server, the method further comprises: acquiring a signal intensity value of a user terminal corresponding to each user identity, and outputting the signal intensity value to the server;
the generation process of the item recommendation information comprises the following steps:
calculating the recommended quantity of articles corresponding to each user information according to each signal intensity value, the quantity of the user identity identifications and the number of pit positions of a television;
obtaining initial recommendation information according to the item recommendation quantity corresponding to each piece of user information and item recommendation information generated based on the historical shopping behavior data;
and sequencing the initial recommendation information according to the signal intensity value to obtain final article recommendation information.
2. The method according to claim 1, wherein after the step of obtaining the signal strength value of the ue corresponding to each of the ue identities and before the step of outputting the signal strength value to the server, further comprising: screening out the user terminals with the signal intensity value being greater than or equal to a preset signal intensity threshold value;
the outputting the user identity to a server includes: outputting the user identity corresponding to the screened user terminal to the server;
the outputting the signal strength value to the server includes: and outputting the screened signal intensity value corresponding to the user terminal to the server.
3. The method according to any one of claims 1 to 2, wherein the obtaining at least one user identity comprises: and monitoring whether the user exists in a preset monitoring range in real time through a camera, and acquiring the user identity when the user exists.
4. The method according to any of claims 1 to 2, wherein the user identity is a bluetooth physical address of the corresponding user terminal, and the signal strength value is a bluetooth signal strength value.
5. A television-based item pushing system, comprising:
the output module is used for acquiring a plurality of user identity identifications and outputting the user identity identifications to the server so that the server matches user information through the user identity identifications;
the receiving module is used for receiving the item recommendation information pushed by the server; the item recommendation information is generated by the server according to historical shopping behavior data corresponding to the matched user information;
the display module is used for displaying the article corresponding to the article recommendation information to a user; the acquisition module is used for acquiring a signal intensity value of the user terminal corresponding to each user identity and outputting the signal intensity value to the server;
the article recommendation information generation module is used for calculating the article recommendation quantity corresponding to each user information according to each signal intensity value, the quantity of the user identity identifications and the pit position quantity of the television;
obtaining initial recommendation information according to the item recommendation quantity corresponding to each piece of user information and item recommendation information generated based on the historical shopping behavior data; and
and sequencing the initial recommendation information according to the signal intensity value to obtain final article recommendation information.
6. The system of claim 5, further comprising: the screening module is used for screening out the user terminals of which the signal intensity values are greater than or equal to a preset signal intensity threshold value;
the output module is further configured to output the user identity identifier corresponding to the screened user terminal to the server;
the obtaining module is further configured to output the signal strength value corresponding to the screened user terminal to the server.
7. The system according to any one of claims 5 to 6, wherein the output module is further configured to monitor whether a user exists in a preset monitoring range in real time through a camera, and when the user exists, obtain the user identification.
8. An electronic device, comprising:
one or more processors;
a storage device 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.
9. A computer-readable 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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| CN112685629A (en) * | 2019-10-18 | 2021-04-20 | 北京星选科技有限公司 | Information processing method, information processing device, electronic equipment and computer readable storage medium |
| CN111274489B (en) * | 2020-03-25 | 2023-12-15 | 北京百度网讯科技有限公司 | Information processing method, device, equipment and storage medium |
| CN112884543A (en) * | 2021-01-27 | 2021-06-01 | 青岛海尔科技有限公司 | Information pushing method and device, storage medium and electronic device |
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