CN115412389A - Message recommendation method and device, electronic equipment and readable storage medium - Google Patents
Message recommendation method and device, electronic equipment and readable storage medium Download PDFInfo
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- H—ELECTRICITY
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- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
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Abstract
The application discloses a message recommendation method, a message recommendation device, electronic equipment and a readable storage medium, which are applied to the technical field of big data, wherein the message recommendation method comprises the following steps: acquiring interaction information between each intelligent household device and at least one target router, wherein each target router belongs to a target family; determining an equipment distance between each intelligent household equipment and each target router according to the interaction information, wherein the equipment distance is used for representing a signal strength distance between the intelligent household equipment and the target router; family layout information of the target family is obtained, and family equipment belonging to the target family is selected from the intelligent household equipment according to the family layout information and the equipment distance; and selecting target household equipment from the household equipment to push a message corresponding to the target household. The method and the device solve the technical problem that the recommendation effect of the message is poor.
Description
Technical Field
The present application relates to the field of big data technologies, and in particular, to a message recommendation method and apparatus, an electronic device, and a readable storage medium.
Background
With the rapid development of science and technology, the message pushing technology is developed more and more mature, at present, information is pushed by all the intelligent household devices, and when part of the intelligent household devices belong to the same family, if the method is still adopted, the situation that the messages are repeatedly pushed to the same user easily occurs, and the repeated pushing of the messages not only can reduce the message recommending effect, but also can possibly lead the user to generate a conflicting emotion, so that the reverse effect of message pushing is caused, and further the message recommending effect is poor.
Disclosure of Invention
The application mainly aims to provide a message recommendation method, a message recommendation device, an electronic device and a readable storage medium, and aims to solve the technical problem that in the prior art, the message recommendation effect is poor.
In order to achieve the above object, the present application provides a message recommendation method applied to a message recommendation device, where the message recommendation method includes:
acquiring mutual information between each intelligent household device and at least one target router, wherein each target router belongs to a target family;
determining an equipment distance between each intelligent household equipment and each target router according to the interaction information, wherein the equipment distance is used for representing a signal strength distance between the intelligent household equipment and the target router;
acquiring family layout information of the target family, and selecting family equipment belonging to the target family from the intelligent household equipment according to the family layout information and the equipment distance;
and selecting target household equipment from the household equipment to push a message corresponding to the target household.
Optionally, the interaction information includes device information and signal information, the device information at least includes one of device performance of each smart home device and router performance of each target router, the signal information at least includes one of signal shielding information between each smart home device and each target router and signal strength information between each smart home device and each target router, and the signal shielding information at least includes one of type of shielding object and material of shielding object.
Optionally, the step of determining, according to the interaction information, an equipment distance between each piece of smart home equipment and each piece of target router includes:
constructing equipment characteristics between each intelligent household equipment and each target router according to the interaction information;
and predicting to obtain the equipment distance between each two intelligent household equipment and the target router according to the equipment characteristics and a preset distance prediction model.
Optionally, the home layout information includes room layout information and room attribute information, and the step of selecting, according to the home layout information and the device distance, a home device belonging to the target home from each smart home device includes:
acquiring the router position of each target router in the target family;
determining a home device distance threshold of each target router according to the room layout information, the room attribute information and the router positions;
and selecting the household equipment of which the equipment distance is less than or equal to the distance threshold value of the household equipment from each intelligent household equipment.
Optionally, the step of determining a home device distance threshold of each target router according to the room layout information, the room attribute information, and the router position includes:
selecting a target room where each target router is located from each room of the target family according to the room layout information and the router positions;
and generating a home device distance threshold value of each target router according to the room attribute information corresponding to the target room.
Optionally, the step of selecting a target home device from the home devices to push a message corresponding to the target home includes:
acquiring the message content of the message;
accumulating the push frequency of the message content in each home device;
and if the pushing frequency is smaller than a preset frequency threshold, determining target household equipment corresponding to the message according to the message content, and pushing the message to the target household equipment.
Optionally, before the step of obtaining at least one target router belonging to a target home, the method further includes:
obtaining the router address of each router and the home label corresponding to the target home;
inquiring a preset configuration file according to the home label to obtain a target router address corresponding to the target home, wherein the preset configuration file comprises a corresponding relation between the home label and the router address;
and marking the router with the router address consistent with the target router address as the target router belonging to the target family.
In order to achieve the above object, the present application further provides a message recommendation apparatus, where the message recommendation apparatus is applied to a message recommendation device, and the message recommendation apparatus includes:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring interaction information between each intelligent household equipment and at least one target router, and each target router belongs to a target family;
the determining module is used for determining the device distance between each pair of the intelligent household equipment and each target router according to the interaction information, wherein the device distance is used for representing the signal strength distance between the intelligent household equipment and the target router;
the selecting module is used for acquiring the family layout information of the target family and selecting the family equipment belonging to the target family from the intelligent household equipment according to the family layout information and the equipment distance;
and the pushing module is used for selecting target household equipment from the household equipment to push the message corresponding to the target household.
Optionally, the interaction information includes device information and signal information, the device information at least includes one of device performance of each smart home device and router performance of each target router, the signal information at least includes one of signal shielding information between each smart home device and each target router and signal strength information between each smart home device and each target router, and the signal shielding information at least includes one of type of shielding object and material of shielding object.
Optionally, the determining module is further configured to:
constructing equipment characteristics between each intelligent household equipment and each target router according to the interaction information;
and predicting to obtain the equipment distance between each intelligent household equipment and the target router according to the equipment characteristics and a preset distance prediction model.
Optionally, the family layout information includes room layout information and room attribute information, and the selecting module is further configured to:
acquiring the router position of each target router in the target family;
determining a home device distance threshold of each target router according to the room layout information, the room attribute information and the router positions;
and selecting the household equipment of which the equipment distance is less than or equal to the distance threshold value of the household equipment from each intelligent household equipment.
Optionally, the selecting module is further configured to:
selecting a target room where each target router is located from each room of the target family according to the room layout information and the router positions;
and generating a home device distance threshold value of each target router according to the room attribute information corresponding to the target room.
Optionally, the pushing module is further configured to:
acquiring the message content of the message;
accumulating the push frequency of the message content in each household device;
and if the pushing frequency is smaller than a preset frequency threshold, determining target household equipment corresponding to the message according to the message content, and pushing the message to the target household equipment.
Optionally, before the step of obtaining at least one target router belonging to a target home, the message recommendation device is further configured to:
obtaining the router address of each router and the home label corresponding to the target home;
inquiring a preset configuration file according to the home label to obtain a target router address corresponding to the target home, wherein the preset configuration file comprises a corresponding relation between the home label and the router address;
and marking the router with the router address consistent with the target router address as a target router belonging to the target family.
The present application further provides an electronic device, the electronic device including: a memory, a processor and a program of the message recommendation method stored on the memory and executable on the processor, the program of the message recommendation method when executed by the processor being operable to implement the steps of the message recommendation method as described above.
The present application also provides a computer-readable storage medium having stored thereon a program for implementing a message recommendation method, which when executed by a processor implements the steps of the message recommendation method as described above.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of the message recommendation method as described above.
Compared with the method for pushing information in all intelligent household devices, the method for recommending the information comprises the steps that mutual information between every two intelligent household devices and at least one target router is obtained, wherein each target router belongs to a target family; determining an equipment distance between each intelligent household equipment and each target router according to the interaction information, wherein the equipment distance is used for representing a signal strength distance between the intelligent household equipment and the target router; acquiring family layout information of the target family, and selecting family equipment belonging to the target family from the intelligent household equipment according to the family layout information and the equipment distance; the method comprises the steps of selecting target household equipment from the household equipment to push a message corresponding to a target household, screening and classifying the intelligent household equipment to obtain the household equipment of the target household, selecting the target household equipment for pushing the message from the household equipment, achieving user-specific delivery of the message, and avoiding the technical defect that when part of the intelligent household equipment belongs to the same household, if the method is still adopted, the message is repeatedly pushed to the same user, and the repeated pushing of the message not only can cause the reduction of the message recommending effect, but also can cause the user to generate a conflict emotion, thereby causing the reverse effect of the message pushing, so that the message recommending effect is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a first embodiment of a message recommendation method according to the present application;
FIG. 2 is a flowchart illustrating a second embodiment of a message recommendation method according to the present application;
FIG. 3 is an exemplary diagram of an application scenario for the message recommendation method of the present application;
fig. 4 is a schematic structural diagram of a device related to a message recommendation method in an embodiment of the present application;
fig. 5 is a schematic device structure diagram of a hardware operating environment related to a message recommendation method in an embodiment of the present application.
The objectives, features, and advantages of the present application will be further described with reference to the accompanying drawings.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments of the present application are described in detail below with reference to the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without any creative effort belong to the protection scope of the present application.
Example one
In a first embodiment of the message recommendation method of the present application, referring to fig. 1, the message recommendation method includes:
step S10, acquiring mutual information between each intelligent household device and at least one target router, wherein each target router belongs to a target family;
step S20, determining the device distance between each pair of the intelligent household equipment and each target router according to the interaction information, wherein the device distance is used for representing the signal intensity distance between the intelligent household equipment and the target router;
step S30, acquiring family layout information of the target family, and selecting family equipment belonging to the target family from the intelligent household equipment according to the family layout information and the equipment distance;
and S40, selecting target household equipment from the household equipment to push a message corresponding to the target household.
In this embodiment, it should be noted that the number of the target home devices may be one or multiple. The intelligent home equipment is equipment with a communication function, and can be a television, a mobile phone, a computer and other equipment. The message may be an advertisement, a notification, a reminder, or other messages.
Exemplarily, steps S10 to S40 include: acquiring interaction information between each intelligent household device and at least one target router; determining the equipment distance between each intelligent household equipment and the target router according to the interaction information and a preset distance prediction model; acquiring family layout information of the target family, generating a preset condition of the equipment distance belonging to the target family according to the family layout information, and selecting the family equipment of which the equipment distance meets the preset condition from the intelligent household equipment; and selecting target household equipment from the household equipment to push a message corresponding to the target household.
The interaction information comprises equipment information and signal information, the equipment information at least comprises one of equipment performance of each intelligent household equipment and router performance of each target router, the signal information at least comprises one of signal shielding information between each intelligent household equipment and each target router and signal strength information between each intelligent household equipment and each target router, and the signal shielding information at least comprises one of type of shielding object and material of the shielding object.
Optionally, the obtaining interaction information between each smart home device and each target router and family layout information of the target family includes:
acquiring the equipment attribute of each intelligent household equipment and the router attribute of each target router, and generating the equipment performance of each intelligent household equipment according to the equipment attribute, wherein the equipment performance is used for representing the signal receiving capacity of the intelligent household equipment; generating router performance of each target router according to the router attributes, wherein the router performance is used for representing the signal transceiving capacity of the target router; acquiring images of each target router through a camera externally arranged on each target router, identifying the images to obtain signal shielding information between each intelligent household device and each target router, and performing feature extraction on the signal shielding information through a preset feature extractor to obtain a shielding object type and a shielding object material; obtaining the Signal percentage of the wireless local area network between each piece of smart home equipment and each piece of target router, and performing interpolation calculation on the Signal percentage of the wireless local area network to obtain Signal Strength information between each piece of smart home equipment and each piece of target router, where the Signal Strength information may be an RSSI (Received Signal Strength Indicator) or an RSS (Received Signal Strength).
In step S20, the step of determining, according to the interaction information, an equipment distance between each smart home equipment and each target router includes:
s21, constructing equipment characteristics between each intelligent household equipment and each target router according to the interaction information;
and S22, predicting to obtain the device distance between each intelligent household device and the target router according to the device characteristics and a preset distance prediction model.
Exemplarily, steps S21 to S22 include: splicing the equipment performance label corresponding to the equipment performance, the router performance label corresponding to the router performance, the shelter type label corresponding to the shelter type, the shelter material label corresponding to the shelter material and the signal intensity information to obtain the equipment characteristics between each intelligent household equipment and each target router; and mapping the equipment characteristics into the equipment distance between each intelligent household equipment and the target router through a preset distance prediction model.
Since the prediction of the device distance is influenced by various factors, the embodiment of the application matches the device characteristics between each intelligent household device and each target router according to the device performance, the router performance, the signal shielding information between each intelligent household device and each target router and the signal strength information between each intelligent household device and each target router, and fully considers the influence of various factors on the device distance prediction, so that more decision bases are provided for predicting the device distance between each intelligent household device and each target router, the technical defect that the calculated device distance is greatly different from the real device distance due to the fact that shielding objects exist between the intelligent household devices and the routers or due to the fact that the intelligent household devices and/or the routers have use loss when the device distance is directly calculated through the signal strength between the intelligent household devices and the routers is avoided, and the accuracy of the device distance prediction is improved.
Compared with a method for pushing information on all intelligent home devices, the method for recommending the information comprises the steps that mutual information between each intelligent home device and at least one target router is obtained, wherein each target router belongs to a target family; determining an equipment distance between each pair of the intelligent household equipment and each pair of the target routers according to the interaction information, wherein the equipment distance is used for representing a signal strength distance between the intelligent household equipment and the target routers; acquiring family layout information of the target family, and selecting family equipment belonging to the target family from the intelligent household equipment according to the family layout information and the equipment distance; the method comprises the steps of selecting target household equipment from the household equipment to push a message corresponding to a target household, screening and classifying the intelligent household equipment to obtain the household equipment of the target household, selecting the target household equipment for pushing the message from the household equipment, achieving user-specific delivery of the message, and avoiding the technical defect that when part of the intelligent household equipment belongs to the same household, if the method is still adopted, the message is repeatedly pushed to the same user, and the repeated pushing of the message not only can cause the reduction of the message recommending effect, but also can cause the user to generate a conflict emotion, thereby causing the reverse effect of the message pushing, so that the message recommending effect is improved.
Example two
Further, referring to fig. 2, based on the first embodiment of the present application, in another embodiment of the present application, the same or similar contents to those of the first embodiment of the present application may be referred to the above description, and are not repeated herein. On this basis, in step S30, the home layout information includes room layout information and room attribute information, and the step of selecting, in each smart home device, a home device belonging to the target home according to the home layout information and the device distance includes:
step S31, acquiring the router position of each target router in the target family;
step S32, determining a home device distance threshold of each target router according to the room layout information, the room attribute information and the router positions;
and S33, selecting the household equipment of which the equipment distance is less than or equal to the household equipment distance threshold value from the intelligent household equipment.
Exemplarily, steps S31 to S33 include: acquiring the coordinate position of each target router, and generating the router position of each target router in the target family according to the room layout information and the coordinate position; determining a home device distance threshold of each target router according to the room layout information, the room attribute information and the router positions; judging whether the household equipment with the equipment distance smaller than or equal to the household equipment distance threshold exists in the intelligent household equipment; if the household equipment with the equipment distance smaller than or equal to the household equipment distance threshold exists in each piece of intelligent household equipment, selecting the household equipment, and returning to execute the following steps: judging whether household equipment with the equipment distance smaller than or equal to the household equipment distance threshold exists in each piece of intelligent household equipment or not until all the household equipment is selected; if the household equipment with the equipment distance smaller than or equal to the household equipment distance threshold does not exist in the intelligent household equipment, returning to the execution step: the method comprises the steps of obtaining at least one target router belonging to a target family, interaction information between each intelligent household device and each target router, and family layout information of the target family.
In step S32, the step of determining a home device distance threshold of each target router according to the room layout information, the room attribute information, and the router position includes:
step A10, selecting a target room where each target router is located from each room of the target family according to the room layout information and the router positions;
step A20, generating a home device distance threshold value of each target router according to the room attribute information corresponding to the target room.
In this embodiment, it should be noted that the room layout information is distribution information of each room in the target home. The room attribute information includes at least one of a room size and a room configuration of each room in the target home.
Exemplarily, the steps a10 to a20 include: selecting a target room where each target router is located from each room of the target family according to the distribution information of each room and the position of the router; and acquiring room attribute information of the target room, and generating a home device distance threshold of each target router according to the room attribute information.
In step S40, the step of selecting a target home device from the home devices to push a message corresponding to the target home includes:
step S41, obtaining the message content of the message;
step S42, accumulating the pushing frequency of the message content in each household device;
step S43, if the pushing frequency is smaller than a preset frequency threshold, determining the target household equipment corresponding to the message according to the message content, and pushing the message to the target household equipment.
Exemplarily, steps S41 to S43 include: acquiring the message content of the message and the message type corresponding to the message content; accumulating the push frequency of the message content and the message type in each home device; judging whether the pushing frequency is smaller than a preset frequency threshold value, if so, determining target household equipment corresponding to the message according to the message content, and pushing the message to the target household equipment; and if the pushing frequency is not less than a preset frequency threshold, canceling to push the message to each household device of the target household.
In step S10, before the step of obtaining mutual information between each smart home device and at least one target router, where each target router belongs to a target family, the method further includes:
step C10, obtaining the router address of each router and the home label corresponding to the target home;
step C20, inquiring a preset configuration file according to the home label to obtain a target router address corresponding to the target home, wherein the preset configuration file comprises a corresponding relation between the home label and the router address;
and step C30, marking the router with the consistent router address and the target router address as the target router belonging to the target family.
Exemplarily, the steps C10 to C30 include: obtaining the router address of each router and the home label corresponding to the target home; inquiring a preset configuration file according to the home label to obtain a target router address corresponding to the target home; judging whether the target router address exists in each router address, and if the target router address exists in each router address, marking the router corresponding to the target router address as the target router; if the target router address does not exist in the router addresses, returning to execute the following steps: and acquiring the router address of each router and the home label corresponding to the target home.
As an example, referring to fig. 3, fig. 3 includes: target router (wireless router shown in the figure), smart home devices (OTT TV, IPTV and DVB TV shown in the figure), cloud server (INTERNET shown in the figure), and storage device. The WIFI information, the SSID and the signal strength of each intelligent household device are reported to the cloud server through the intelligent household device through respective networks, the WIFI information, the SSID and the signal strength of each intelligent household device are sent to the storage device through the cloud server, the device distance is calculated through the storage device according to the WIFI information, the SSID and the signal strength of each intelligent household device, then whether the intelligent household device is a household terminal or not is judged according to the device distance, and the judgment result is stored.
Compared with a method for pushing information on all intelligent home devices, the method for recommending the information comprises the steps that mutual information between each intelligent home device and at least one target router is obtained, wherein each target router belongs to a target family; determining an equipment distance between each intelligent household equipment and each target router according to the interaction information, wherein the equipment distance is used for representing a signal strength distance between the intelligent household equipment and the target router; acquiring family layout information of the target family, and selecting family equipment belonging to the target family from the intelligent household equipment according to the family layout information and the equipment distance; the method comprises the steps of selecting a target household device from the household devices to push a message corresponding to a target household, obtaining the household devices of the target household according to screening and classification of the intelligent household devices, further selecting the target household device for pushing the message from the household devices, achieving fixed-point delivery of the message according to a user, and avoiding the technical defects that when part of the intelligent household devices belong to the same household, if the method is still adopted, the message is repeatedly pushed to the same user, and the repeated pushing of the message not only can cause the reduction of the recommendation effect of the message, but also can possibly cause the generation of conflicting emotions by the user, and cause the reverse effect of the message pushing, thereby improving the recommendation effect of the message.
EXAMPLE III
An embodiment of the present application further provides a message recommendation apparatus, where the message recommendation apparatus is applied to a message recommendation device, and with reference to fig. 4, the message recommendation apparatus includes:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring interaction information between each intelligent household equipment and at least one target router, and each target router belongs to a target family;
the determining module is used for determining the device distance between each pair of the intelligent household equipment and each target router according to the interaction information, wherein the device distance is used for representing the signal strength distance between the intelligent household equipment and the target router;
the selecting module is used for acquiring the family layout information of the target family, and selecting the family equipment belonging to the target family from the intelligent household equipment according to the family layout information and the equipment distance;
and the pushing module is used for selecting target household equipment from the household equipment to push the message corresponding to the target household.
Optionally, the interaction information includes device information and signal information, the device information at least includes one of device performance of each smart home device and router performance of each target router, the signal information at least includes one of signal shielding information between each smart home device and each target router and signal strength information between each smart home device and each target router, and the signal shielding information at least includes one of type of shielding object and material of shielding object.
Optionally, the determining module is further configured to:
constructing equipment characteristics between each intelligent household equipment and each target router according to the interaction information;
and predicting to obtain the equipment distance between each intelligent household equipment and the target router according to the equipment characteristics and a preset distance prediction model.
Optionally, the family layout information includes room layout information and room attribute information, and the selecting module is further configured to:
acquiring the router position of each target router in the target family;
determining a home device distance threshold of each target router according to the room layout information, the room attribute information and the router positions;
and selecting the household equipment of which the equipment distance is less than or equal to the distance threshold value of the household equipment from each intelligent household equipment.
Optionally, the selecting module is further configured to:
selecting a target room where each target router is located from each room of the target family according to the room layout information and the router positions;
and generating a home device distance threshold value of each target router according to the room attribute information corresponding to the target room.
Optionally, the pushing module is further configured to:
acquiring the message content of the message;
accumulating the push frequency of the message content in each home device;
and if the pushing frequency is smaller than a preset frequency threshold, determining target household equipment corresponding to the message according to the message content, and pushing the message to the target household equipment.
Optionally, before the step of obtaining at least one target router belonging to a target home, the message recommendation device is further configured to:
obtaining the router address of each router and the home label corresponding to the target home;
inquiring a preset configuration file according to the home label to obtain a target router address corresponding to the target home, wherein the preset configuration file comprises a corresponding relation between the home label and the router address;
and marking the router with the router address consistent with the target router address as a target router belonging to the target family.
By adopting the message recommending device in the embodiment, the technical problem of poor message recommending effect is solved. Compared with the prior art, the beneficial effects of the message recommendation device provided by the embodiment of the present application are the same as the beneficial effects of the message recommendation method provided by the above embodiment, and other technical features of the message recommendation device are the same as the features disclosed by the above embodiment method, which are not repeated herein.
Example four
An embodiment of the present application provides an electronic device, which includes: at least one processor 1001; a memory 1004 communicatively coupled to the at least one processor 1001; the memory 1004 stores instructions executable by the at least one processor 1001, and the instructions are executed by the at least one processor 1001 to enable the at least one processor 1001 to execute the message recommendation method in the above embodiments; a communication bus 1002 for realizing connection communication between the processor 1001 and the memory 1004; and a network interface 1003.
Referring now to FIG. 5, shown is a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. 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 disclosure.
As shown in fig. 5, the electronic device may include a processing means (e.g., a central processing unit, a graphic processor, etc.) that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) or a program loaded from a storage means into a Random Access Memory (RAM). In the RAM, various programs and data necessary for the operation of the electronic apparatus are also stored. The processing device, the ROM, and the RAM are connected to each other through a bus. An input/output (I/O) interface is also connected to the bus.
Generally, the following systems may be connected to the I/O interface: input devices including, for example, touch screens, touch pads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, and the like; output devices including, for example, liquid Crystal Displays (LCDs), speakers, vibrators, and the like; storage devices including, for example, magnetic tape, hard disk, and the like; and a communication device. The communication means may allow the electronic device to communicate wirelessly or by wire with other devices to exchange data. While the figures illustrate an electronic device with various systems, it is understood that implementing or having all of the illustrated systems is not a requirement. More or fewer systems may alternatively be implemented or provided.
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 via the communication means, or installed from a storage means, or installed from a ROM. The computer program, when executed by a processing device, performs the functions defined in the methods of the embodiments of the present disclosure.
By adopting the message recommendation method in the embodiment, the electronic device provided by the application solves the technical problem of poor message recommendation effect. Compared with the prior art, the beneficial effects of the electronic device provided by the embodiment of the present application are the same as the beneficial effects of the message recommendation method provided by the above embodiment, and other technical features in the electronic device are the same as the features disclosed by the above embodiment method, which are not described herein again.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the foregoing description of embodiments, the particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
EXAMPLE five
The present embodiment provides a computer-readable storage medium having stored thereon computer-readable program instructions for performing the method of the message recommendation method in the above-described embodiments.
The computer readable storage medium provided by the embodiments of the present application may be, for example, a usb disk, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or a combination of any of the above. 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 embodiment, 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, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer-readable storage medium may be embodied in an electronic device; or may be separate and not incorporated into the electronic device.
The computer readable storage medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring interaction information between each intelligent household device and at least one target router, wherein each target router belongs to a target family; determining an equipment distance between each intelligent household equipment and each target router according to the interaction information, wherein the equipment distance is used for representing a signal strength distance between the intelligent household equipment and the target router; acquiring family layout information of the target family, and selecting family equipment belonging to the target family from the intelligent household equipment according to the family layout information and the equipment distance; and selecting target household equipment from the household equipment to push a message corresponding to the target household.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
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 modules described in the embodiments of the present disclosure may be implemented by software or hardware. Wherein the names of the modules do not in some cases constitute a limitation of the unit itself.
The computer-readable storage medium provided by the application stores computer-readable program instructions for executing the message recommendation method, and solves the technical problem of poor message recommendation effect. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the embodiment of the application are the same as the beneficial effects of the message recommendation method provided by the implementation, and are not repeated herein.
EXAMPLE six
The present application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of the message recommendation method as described above.
The computer program product provided by the application solves the technical problem that the recommendation effect of the message is poor. Compared with the prior art, the beneficial effects of the computer program product provided by the embodiment of the present application are the same as the beneficial effects of the message recommendation method provided by the above embodiment, and are not described herein again.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.
Claims (10)
1. A message recommendation method, characterized in that the message recommendation method comprises:
acquiring interaction information between each intelligent household device and at least one target router, wherein each target router belongs to a target family;
determining an equipment distance between each pair of the intelligent household equipment and each pair of the target routers according to the interaction information, wherein the equipment distance is used for representing a signal strength distance between the intelligent household equipment and the target routers;
acquiring family layout information of the target family, and selecting family equipment belonging to the target family from the intelligent household equipment according to the family layout information and the equipment distance;
and selecting target household equipment from the household equipment to push a message corresponding to the target household.
2. The message recommendation method according to claim 1, wherein the step of determining, according to the interaction information, a device distance between each smart home device and each target router comprises:
constructing equipment characteristics between each intelligent household equipment and each target router according to the interaction information;
and predicting to obtain the equipment distance between each intelligent household equipment and the target router according to the equipment characteristics and a preset distance prediction model.
3. The message recommendation method according to claim 1, wherein the home layout information includes room layout information and room attribute information, and the step of selecting the home device belonging to the target home from the smart home devices according to the home layout information and the device distance includes:
acquiring the router position of each target router in the target family;
determining a home device distance threshold of each target router according to the room layout information, the room attribute information and the router positions;
and selecting the household equipment of which the equipment distance is less than or equal to the distance threshold value of the household equipment from each intelligent household equipment.
4. The message recommendation method of claim 3 wherein the step of determining a home device distance threshold for each of the target routers based on the room layout information, the room attribute information, and the router locations comprises:
selecting a target room where each target router is located from each room of the target family according to the room layout information and the router positions;
and generating a home device distance threshold value of each target router according to the room attribute information corresponding to the target room.
5. The message recommendation method according to claim 1, wherein the step of selecting a target home device from the home devices to push the message corresponding to the target home comprises:
acquiring the message content of the message;
accumulating the push frequency of the message content in each home device;
and if the pushing frequency is smaller than a preset frequency threshold, determining target household equipment corresponding to the message according to the message content, and pushing the message to the target household equipment.
6. The message recommendation method according to claim 1, wherein before the step of obtaining mutual information between each smart home device and at least one target router, each target router belongs to a target family, the method further comprises:
obtaining the router address of each router and the home label corresponding to the target home;
inquiring a preset configuration file according to the home label to obtain a target router address corresponding to the target home, wherein the preset configuration file comprises a corresponding relation between the home label and the router address;
and marking the router with the router address consistent with the target router address as a target router belonging to the target family.
7. The message recommendation method according to claim 1, wherein the interaction information includes device information and signal information, the device information includes at least one of device performance of each smart home device and router performance of each target router, the signal information includes at least one of signal blocking information between each smart home device and each target router and signal strength information between each smart home device and each target router, and the signal blocking information includes at least one of a type of blocking object and a material of the blocking object.
8. A message recommendation apparatus, characterized in that the message recommendation apparatus comprises:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring interaction information between each intelligent household equipment and at least one target router, and each target router belongs to a target family;
the determining module is used for determining the device distance between each pair of the intelligent household equipment and each target router according to the interaction information, wherein the device distance is used for representing the signal strength distance between the intelligent household equipment and the target router;
the selecting module is used for acquiring the family layout information of the target family, and selecting the family equipment belonging to the target family from the intelligent household equipment according to the family layout information and the equipment distance;
and the pushing module is used for selecting target household equipment from the household equipment to push the message corresponding to the target household.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the message recommendation method of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a program for implementing a message recommendation method, the program being executed by a processor to implement the steps of the message recommendation method according to any one of claims 1 to 7.
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