CN111915679A

CN111915679A - Method, device and equipment for determining target point based on floor

Info

Publication number: CN111915679A
Application number: CN202010894797.XA
Authority: CN
Inventors: 陈涵琛
Original assignee: Alipay Hangzhou Information Technology Co Ltd
Current assignee: Alipay Hangzhou Information Technology Co Ltd
Priority date: 2020-08-31
Filing date: 2020-08-31
Publication date: 2020-11-10
Anticipated expiration: 2040-08-31
Also published as: CN111915679B

Abstract

The embodiment of the specification discloses a method, a device and equipment for determining a target point based on a floor, which can extract a plurality of delivery addresses meeting preset conditions from user delivery address data accumulated by a platform; and extracting target information from the plurality of receiving addresses based on a preset algorithm: building information and floor information; determining the floor of the target building and a user in the floor by associating the target receiving address with the target building and the floor corresponding to the target receiving address, wherein the target receiving address is a receiving address from which target information is extracted from the plurality of receiving addresses; determining characteristics of a floor in a target building based on characteristic data of users in the floor; target sites suitable for implementing the target plan are screened from the floors of the target building based on characteristics of the floors in the target building.

Description

Method, device and equipment for determining target point based on floor

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, and a device for determining a target point based on a floor.

Background

Currently, when implementing a target plan or project, such as when laying out public/commercial facilities, it is performed based on building sites on a two-dimensional (latitude and longitude) plane, which is difficult to satisfy business requirements. For example, when the intelligent container is laid and located, the intelligent container is often laid and located by taking a building as a point, and a laying worker directly negotiates with the building property to determine whether the intelligent container can be laid, so that the laying success rate is low, or the number of the containers to be laid is limited, the goods provided are not necessarily suitable for users in the building, and the laying requirement is difficult to meet.

Disclosure of Invention

The embodiment of the specification provides a method, a device and equipment for determining a target point based on a floor, and aims to solve the problem that a mode of screening the target point from building dimensions is difficult to meet business requirements.

In order to solve the above technical problem, the embodiments of the present specification are implemented as follows:

in a first aspect, a method for determining a target point based on a floor is provided, which includes:

extracting a plurality of receiving addresses meeting preset conditions from user receiving address data accumulated by the platform;

extracting target information in the plurality of receiving addresses based on a preset algorithm, wherein the target information comprises building information and floor information;

associating a target receiving address with a target building and a floor corresponding to the target receiving address, and determining the floor of the target building and a user in the floor, wherein the target receiving address is a receiving address from which the target information is extracted from the plurality of receiving addresses;

determining characteristics of a floor of the target building based on characteristic data of users in the floor;

and screening target points suitable for implementing a target scheme from the floors of the target building based on the characteristics of the floors in the target building.

In a second aspect, a method for determining a destination point based on a floor is provided, which includes:

extracting a plurality of delivery addresses meeting preset conditions from user delivery address data accumulated by a platform, wherein the preset conditions comprise: the goods receiving address is located in the building, and the goods receiving address is a working address;

and screening target point positions suitable for laying intelligent containers from the floors of the target building based on the characteristics of the floors in the target building.

In a third aspect, a device for determining a destination point based on a floor is provided, which includes:

the first address extraction module is used for extracting a plurality of delivery addresses meeting preset conditions from the user delivery address data accumulated by the platform;

the first information extraction module is used for extracting target information in the plurality of receiving addresses based on a preset algorithm, wherein the target information comprises building information and floor information;

the first correlation module is used for correlating a target receiving address with a target building and a floor corresponding to the target receiving address, and determining the floor of the target building and a user in the floor, wherein the target receiving address is a receiving address from which the target information is extracted from the plurality of receiving addresses;

a first feature determination module that determines a feature of a floor of the target building based on feature data of a user in the floor;

and the first point screening module is used for screening target points suitable for implementing a target scheme from the floors of the target building based on the characteristics of the floors in the target building.

In a fourth aspect, a floor-based target point determining apparatus is provided, including:

the second address extraction module is used for extracting a plurality of receiving addresses meeting preset conditions from the user receiving address data accumulated by the platform, wherein the preset conditions comprise: the goods receiving address is located in the building, and the goods receiving address is a working address;

the second information extraction module is used for extracting target information in the plurality of receiving addresses based on a preset algorithm, wherein the target information comprises building information and floor information;

the second correlation module is used for correlating a target receiving address with a target building and a floor corresponding to the target receiving address, and determining the floor of the target building and a user in the floor, wherein the target receiving address is a receiving address from which the target information is extracted from the plurality of receiving addresses;

a second feature determination module that determines a feature of a floor of the target building based on feature data of users in the floor;

and the second point location screening module is used for screening target point locations suitable for laying intelligent containers from the floors of the target building based on the characteristics of the floors in the target building.

In a fifth aspect, an electronic device is provided, including:

a processor; and

a memory arranged to store computer executable instructions that, when executed, cause the processor to:

In a sixth aspect, a computer-readable storage medium is presented, storing one or more programs that, when executed by an electronic device including a plurality of application programs, cause the electronic device to:

In a seventh aspect, an electronic device is provided, including:

a processor; and

In an eighth aspect, a computer-readable storage medium is presented, the computer-readable storage medium storing one or more programs that, when executed by an electronic device that includes a plurality of application programs, cause the electronic device to:

According to at least one technical scheme provided by the embodiment of the specification, the characteristics of floors in a building are described through the characteristics of users in the floors, user groups are divided on the floors, target point positions suitable for implementing a target scheme are screened from the perspective of the floors, an original two-dimensional plane point position screening mode based on the building is upgraded to a three-dimensional space point position screening mode based on the floors, and the screening mode is more detailed and can better reflect the characteristics of the user groups, so that the service requirements can be better met.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

fig. 1 is a flowchart illustrating a method for determining a destination point based on a floor according to an embodiment of the present disclosure.

Fig. 2 is a flowchart illustrating a method for determining a destination point based on a floor according to another embodiment of the present disclosure.

Fig. 3 is a flowchart illustrating a method for determining a destination point based on a floor according to another embodiment of the present disclosure.

Fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present specification.

Fig. 5 is a schematic structural diagram of a floor-based target point location determining apparatus according to an embodiment of the present disclosure.

Fig. 6 is a schematic structural diagram of a floor-based target point location determining apparatus according to another embodiment of the present disclosure.

Fig. 7 is a schematic structural diagram of a floor-based target point location determining apparatus according to another embodiment of the present disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given in the present application without making any creative effort, shall fall within the protection scope of this document.

In order to solve the problem that a mode of screening target point locations from building dimensions is difficult to meet business requirements, embodiments of the present specification provide a method, an apparatus, and a device for determining target point locations based on floors. The method and apparatus provided in the embodiments of the present specification may be executed by an electronic device or software installed in the electronic device, and specifically may be executed by a terminal device or a server device, where the terminal device includes but is not limited to: any one of smart terminal devices such as smart phones, Personal Computers (PCs), notebook computers, tablet computers, electronic readers, web tvs, and wearable devices; wherein, the server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.

A method for determining a destination point based on a floor according to an embodiment of the present disclosure is described below.

As shown in fig. 1, one embodiment of the present specification provides a floor-based target point location determination method, which may include:

and 102, extracting a plurality of receiving addresses meeting preset conditions from the user receiving address data accumulated by the platform.

Before the step 102 is performed, the user harvest address data accumulated by the platform may be obtained from the platform. The platform may be one or more e-commerce platforms/take-away platforms, etc. The customer shipping address data may be a list of customer shipping addresses accumulated by the platform, where the shipping address data for a customer may include, but is not limited to, the name of the recipient (which may be a flower name), a telephone number, and a specific shipping address, which may include provinces, cities, regions, streets, buildings, floors, and room numbers.

The preset conditions may include: the shipping address is located within a building of a first type, the shipping address is a shipping address of a second type, and the first type is associated with the second type. For example, the first type may be an office building, and correspondingly, the second type is a work address; alternatively, the first type may be an apartment building or a residential building, and correspondingly, the second type may be a home address, and so on. In a specific implementation, a shipping address whose shipping address is within a preset distance range (e.g., within 50 meters) near a Point of Interest (POI) of a first type in a map may be used as the shipping address in the building of the first type. In maps, POIs often contain four aspects of information: the name of the point of interest, the category of the point of interest, and the longitude and latitude of the point of interest.

Since there are usually more buildings in a city, optionally, before extracting a plurality of delivery addresses meeting preset conditions from the user delivery address data accumulated by the platform, the user delivery address data accumulated by the platform may be further filtered, and the delivery addresses and/or cities with the city level below the preset level in the non-urban area are deleted, so as to narrow the range of extracting the delivery addresses meeting the preset conditions and improve the extraction efficiency. Or, optionally, a plurality of receiving addresses meeting the preset condition may be extracted from the user receiving address data of the designated city accumulated by the platform, so as to narrow the range of extracting the receiving addresses meeting the preset condition and improve the extraction efficiency.

And 104, extracting target information in the plurality of receiving addresses based on a preset algorithm, wherein the target information comprises building information and floor information.

For example, the target information in the plurality of shipping addresses may be extracted based on an algorithm such as regular expression or natural language processing.

As a specific example, the destination information in the plurality of shipping addresses may be extracted based on Named Entity Recognition (NER). NPE is a fundamental task in natural language processing, in which a named entity generally refers to an entity having a specific meaning or strong reference in text, and generally includes a person name, a place name, an organization name, a date and time, a proper noun, and the like. Of course, the concept of entity can be very wide, and the special text segments required by the service can be called entities. Such as product name, model number, price, etc. Therefore, the NPE can be used for identifying and extracting the building information and the floor information in the plurality of receiving addresses as two named entities one by one to obtain the target information in the plurality of receiving addresses.

For example, assuming that one of the plurality of shipping addresses is "14 buildings xxx, south spring north road 447, of Pudong New region, Shanghai", building information can be extracted based on the NER algorithm: xxx buildings, floors: and (5) building 14.

And 106, associating a target receiving address with a target building and a floor corresponding to the target receiving address, and determining the floor of the target building and a user in the floor, wherein the target receiving address is a receiving address from which the target information is extracted from the plurality of receiving addresses.

Since one destination address generally corresponds to one user, after the destination address is associated with the destination building and the floor corresponding to the destination address, the floor of the destination building and the user on the floor can also be determined. For example, for an office building, it can be determined which users are on a floor.

It is understood that the number of the target receiving addresses may be multiple, and therefore, after the step 106, the floors of multiple target buildings and the users in the floors can be determined.

And 108, determining the characteristics of the floor in the target building based on the characteristic data of the users in the floor in the target building.

Alternatively, the characteristic data of the user on the floor of the target building may be obtained from the platform in advance, and of course, the characteristic data of the user on the floor of the target building may also be obtained through other channels (for example, platforms other than the platform).

In the embodiment of the present specification, the feature data of the user may be regarded as data for portraying the user, and the feature of the floor may be regarded as portrayal of the floor.

Wherein the characteristic data of the user may include, but is not limited to, at least one of a base characteristic and a consumption characteristic. For example, the underlying characteristics may include, but are not limited to, at least one of age, gender, and occupation; the consumption characteristics may include, but are not limited to, at least one of consumption preferences, consumption amount, consumption frequency, and consumption time, wherein the consumption preferences of the user may include, but are not limited to, categories of goods that the user likes to purchase, tastes of meals that the user likes to eat, and types of restaurants that the user likes to eat, among others.

In the case that the feature data of the user includes at least one of a basic feature and a consumption feature, the step 108 may specifically include: based on the feature data of the users in the floors of the target building, consumer group features of the floors in the target building are determined. For example, from the age and gender characteristics of the users on floor 5 of office building a, "the characteristics (representation) of floor 5 of office building a is average age 28 years, male proportion 60%"; from the age and sex characteristics of the users in the 10 th floor of office building a, "the characteristics (representation) of the 10 th floor of office building a is the average age of 27 years, the male rate of 45%" and the like can be determined.

Step 110, based on the characteristics of the floors in the target building, selecting target points suitable for implementing a target plan from the floors of the target building.

For example, when the first type is an office building, the second type is a work address, the characteristic data of the user includes at least one of a basic characteristic and a consumption characteristic, and the consumer group characteristic of the floor in the target building is determined in step 108, step 110 may include: and screening target point positions suitable for laying intelligent containers in the target building from the floors of the target building based on the consumer group characteristics of the floors in the target building. For example, the 10 th of office building a, whose "features (figures) are average age 27, male proportion 45%" may be determined as the target point suitable for laying intelligent containers selling various beverages; alternatively, floor 5 of office building A, characterized (portrayed) as having an average age of 28 years and a male proportion of 60% "may be identified as a target point for the placement of an intelligent cabinet for the sale of various snack and beverage products. The intelligent container may be an Internet of Things (IoT) intelligent container.

Of course, the target scheme to be implemented is different for different application scenarios, and as described in the above example, for this scenario of intelligent container laying, the target scheme to be implemented is to lay an intelligent container; for another example, for the offline marketing scenario, the target scheme to be implemented may be an offline marketing strategy, specifically, for the same office building, the 5 th floor is the law, the 7 th floor is the internet company, and the marketing strategies of the two floors may be different.

According to the method for determining the target point based on the floor, the characteristics of the floor in the building are described through the characteristics of the user in the floor, the user crowd is divided on the floor, the target point suitable for implementing the target scheme is screened from the perspective of the floor, the original two-dimensional plane point screening mode based on the building is upgraded to the three-dimensional space point screening mode based on the floor, the screening mode is more detailed and can better reflect the characteristics of the user crowd, and therefore the service requirement can be better met.

A method for determining a target point based on a floor provided in an embodiment of the present disclosure is described below with reference to a specific application scenario.

As shown in fig. 2, in a specific application scenario, a method for determining a destination point based on a floor provided in an embodiment of the present specification may include:

step 202, extracting a plurality of delivery addresses meeting preset conditions from the user delivery address data accumulated by the platform, wherein the preset conditions comprise: the goods receiving address is located in the building, and the goods receiving address is a working address.

In the embodiments of the present specification, the building may include, but is not limited to, office buildings, business buildings, office buildings, and the like having office spaces.

And 204, extracting target information in the plurality of receiving addresses based on a preset algorithm, wherein the target information comprises building information and office building floor information.

Specifically, the target information in the plurality of shipping addresses may be extracted based on an algorithm such as regular expression or natural language processing.

As one example, the destination information in the plurality of shipping addresses may be extracted based on a NER algorithm. For example, assuming that one of the plurality of receiving addresses is "xxx mansion 14 building (office building) having north road 447 in south spring of Pudong New region of Shanghai", building information can be extracted based on the NER algorithm: xxx buildings, floors: and (5) building 14.

And step 206, associating a target receiving address with a target building and a floor corresponding to the target receiving address, and determining the floor of the target building and a user in the floor, wherein the target receiving address is a receiving address from which the target information is extracted from the plurality of receiving addresses.

And step 208, determining the characteristics of the floor in the target building based on the characteristic data of the users in the floor in the target building.

The user's characteristic data may include, but is not limited to, at least one of base characteristics and consumption characteristics. For example, the underlying characteristics may include, but are not limited to, at least one of age, gender, and occupation; the consumption characteristics may include, but are not limited to, at least one of consumption preferences, consumption amount, consumption frequency, and consumption time, wherein the consumption preferences of the user may include, but are not limited to, categories of goods that the user likes to purchase, tastes of meals that the user likes to eat, and types of restaurants that the user likes to eat, among others.

In the case that the feature data of the user includes at least one of the basic feature and the consumption feature, the step 208 may specifically include: based on the feature data of the users in the floors of the target building, consumer group features of the floors in the target building are determined. For example, from the age and gender characteristics of the users on floor 5 of office building a, "the characteristics (representation) of floor 5 of office building a is average age 28 years, male proportion 60%"; from the age and sex characteristics of the users in the 10 th floor of office building a, "the characteristics (representation) of the 10 th floor of office building a is the average age of 27 years, the male rate of 45%" and the like can be determined.

And step 210, screening target points suitable for laying intelligent containers from the floors of the target building based on the characteristics of the floors in the target building.

Following the example in step 208, the 10 th floor of office building a with "characteristics (portrait) of average age 27 years, male proportion 60%" can be determined as the target point suitable for laying the intelligent container selling various beverages; alternatively, floor 5 of office building a, characterized (portrait) as having an average age of 28 years, a male proportion of 45% "may be determined to be suitable for housing an intelligent cabinet for selling various snack foods and beverages. The intelligent container may be a target point of an Internet of Things (IoT).

Optionally, after the target point suitable for laying the intelligent container is determined, specific address information of the target point location may be provided to an intelligent vending machine operator, and the operator dispatches an operator to the point location to carry out business promotion with a company working at the point location. If the company is willing to lay a tool, the corresponding tool is laid after the company has confirmed the specific tool type and the laying position. Compared with the situation that whether the intelligent container can be paved or not is determined by directly negotiating with the building property, the success rate is higher, and the service popularization requirement of the intelligent container can be met.

According to the method for determining the target point based on the floor, the characteristics of the floor are described through the characteristics of the user in the floor of the building, the user crowd is divided on the floor, the target point suitable for laying an intelligent container is screened from the angle of the floor, the original two-dimensional plane point screening mode based on the building is upgraded to the three-dimensional space point screening mode based on the floor, the screening mode is more detailed and can better reflect the characteristics of the user crowd, and therefore the service requirement can be better met.

It should be noted that the embodiment shown in fig. 2 can also be applied to screening target points suitable for laying intelligent containers from floors of residential buildings, apartment buildings or student dormitory buildings.

As shown in fig. 3, in another specific application scenario, a method for determining a destination point based on a floor provided in an embodiment of the present specification may include:

step 302, extracting a plurality of delivery addresses meeting preset conditions from the user delivery address data accumulated by the platform, wherein the preset conditions include: the goods receiving address is located in the building, and the goods receiving address is a home address.

In the embodiment of the present specification, the building may include, but is not limited to, a residential building, an apartment building, and the like in which a resident lives.

And 304, extracting target information in the plurality of receiving addresses based on a preset algorithm, wherein the target information comprises building information and floor information.

As one example, the destination information in the plurality of shipping addresses may be extracted based on a NER algorithm. For example, assuming that one of the plurality of shipping addresses is "building 503 room of the first city 10 tomorrow, tokyo, prefecture", building information can be extracted based on the NER algorithm: building 10 in the first city in tomorrow, floor: and (5) building.

And step 306, associating a target receiving address with a target building and a floor corresponding to the target receiving address, and determining the floor of the target building and a user in the floor, wherein the target receiving address is a receiving address from which the target information is extracted from the plurality of receiving addresses.

And 308, determining the characteristics of the floor in the target building based on the characteristic data of the users in the floor in the target building.

In the case that the feature data of the user includes at least one of a basic feature and a consumption feature, the step 308 may specifically include: based on the feature data of the users in the floors of the target building, consumer group features of the floors in the target building are determined. For example, from the age and gender characteristics of the users of the 5 th floor of the residential building B, "the characteristics (portrayed) of the 5 th floor of the residential building B is an average age of 35 years, 70% male ratio"; from the ages and professional characteristics of the users in the 10 th floor of the residential building B, "the characteristics (images) of the 10 th floor of the residential building B are an average age of 70 years, 60% of retirees", and the like.

And 310, screening target points suitable for offline marketing from the floors of the target building based on the characteristics of the floors in the target building.

Following the example in step 308, floor 5 of residential building B with "features (images) of 27 years of average age, 70% male proportion" may be determined as the target points suitable for offline marketing of shavers; alternatively, 10 stories of the residential stories B having "the feature (figure) of the average age of 70 years, 60% of retired persons" may be determined as the target point suitable for off-line marketing of the endowment products.

Optionally, after the target point suitable for offline marketing is determined, specific address information of the target point can be provided for a marketing company, the marketing company can make different marketing strategies for different target point, and then a salesman is dispatched to the point to perform product marketing according to the made corresponding marketing strategies.

According to the method for determining the target point based on the floor, the characteristics of the floor are described through the characteristics of the users in the floor of the building, the user groups are divided on the floor, the target point suitable for offline marketing is screened from the perspective of the floor, the original two-dimensional plane point screening mode based on the building is upgraded to the three-dimensional space point screening mode based on the floor, the screening mode is more detailed and can better reflect the characteristics of the user groups, and therefore the service requirements can be better met.

It should be noted that the embodiment shown in fig. 3 may also be applied to screening target points suitable for offline marketing from floors of buildings such as office buildings or student dormitory buildings.

It can be understood that the application scenarios of the embodiments of the present specification can be many, and are not limited to intelligent container laying and offline marketing.

The above is a description of embodiments of the method provided in this specification, and the electronic device provided in this specification is described below.

Fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present specification. Referring to fig. 4, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.

The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.

And a memory for storing the program. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.

The processor reads a corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form a floor-based target point determining device on a logical level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:

Alternatively, the processor reads a corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the floor-based target point determining device on a logical level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:

The above-described method for determining a destination point based on a floor as disclosed in any one of the embodiments shown in fig. 1 to 3 of the present specification may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in one or more embodiments of the present specification may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with one or more embodiments of the present disclosure may be embodied directly in hardware, in a software module executed by a hardware decoding processor, or in a combination of the hardware and software modules executed by a hardware decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.

The electronic device may further perform the method for determining the destination point based on the floor according to any one of the embodiments shown in fig. 1 to 3, which is not described herein again.

Of course, besides the software implementation, the electronic device in this specification does not exclude other implementations, such as logic devices or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or logic devices.

Embodiments of the present specification also propose a computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a portable electronic device comprising a plurality of application programs, are capable of causing the portable electronic device to perform the method of the embodiment shown in fig. 1, and in particular to perform the following:

This specification embodiment also proposes a computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a portable electronic device comprising a plurality of application programs, are capable of causing the portable electronic device to perform the method of the embodiment shown in fig. 2, and in particular to perform the following operations:

The following is a description of the apparatus provided in this specification.

As shown in fig. 5, an embodiment of the present specification provides a floor-based target point location determining apparatus 500, and in one software implementation, the apparatus 500 may include: a first address extraction module 501, a first information extraction module 502, a first association module 503, a first feature determination module 504 and a first bit screening module 505.

The first address extraction module 501 extracts a plurality of delivery addresses satisfying a preset condition from the user delivery address data accumulated by the platform.

The first information extraction module 502 is configured to extract target information from the plurality of delivery addresses based on a preset algorithm, where the target information includes building information and floor information.

The first associating module 503 associates a target receiving address with a target building and a floor corresponding to the target receiving address, and determines a floor of the target building and a user on the floor, where the target receiving address is a receiving address from which the target information is extracted from the plurality of receiving addresses.

The first characteristic determination module 504 determines a characteristic of a floor of the target building based on characteristic data of users in the floor.

The first point screening module 505 screens the floors of the target building for target points suitable for implementing the target plan based on the characteristics of the floors in the target building.

It should be noted that the floor-based target point determining apparatus 500 can implement the method of fig. 1 and achieve the same technical effects, and details can refer to the method shown in fig. 1 and are not repeated.

As shown in fig. 6, an embodiment of the present specification provides a floor-based target point location determining apparatus 600, and in one software implementation, the apparatus 600 may include: a second address extraction module 601, a second information extraction module 602, a second association module 603, a second feature determination module 604, and a second point location screening module 605.

The second address extraction module 601 is configured to extract a plurality of delivery addresses meeting preset conditions from the user delivery address data accumulated by the platform, where the preset conditions include: the goods receiving address is located in the building, and the goods receiving address is a working address.

The second information extraction module 602 extracts target information from the plurality of shipping addresses based on a preset algorithm, wherein the target information includes building information and floor information.

The second associating module 603 associates a target receiving address with a target building and a floor corresponding to the target receiving address, and determines the floor of the target building and a user on the floor, wherein the target receiving address is a receiving address from which the target information is extracted from the plurality of receiving addresses.

The second characteristic determination module 604 determines the characteristic of the floor in the target building based on the characteristic data of the users in the floor.

And the second point location screening module 605 is used for screening target point locations suitable for laying intelligent containers from the floors of the target building based on the characteristics of the floors in the target building.

It should be noted that the floor-based target point determining apparatus 600 can implement the method of fig. 2 and obtain the same technical effect, and details can refer to the method shown in fig. 2 and are not repeated.

As shown in fig. 7, an embodiment of the present specification provides a floor-based target point location determining apparatus 700, and in one software implementation, the apparatus 700 may include: a third address extraction module 701, a third information extraction module 702, a third association module 703, a third feature determination module 704, and a third point screening module 705.

The third address extraction module 701 extracts a plurality of delivery addresses meeting preset conditions from the user delivery address data accumulated by the platform, wherein the preset conditions include: the goods receiving address is located in the building, and the goods receiving address is a home address.

A third information extraction module 702, configured to extract target information from the plurality of delivery addresses based on a preset algorithm, where the target information includes building information and floor information.

The third associating module 703 associates a target receiving address with a target building and a floor corresponding to the target receiving address, and determines a floor of the target building and a user on the floor, where the target receiving address is a receiving address from which the target information is extracted from the plurality of receiving addresses.

The third feature determination module 704 determines a feature of a floor in the target building based on feature data of users in the floor.

And a third point screening module 705 for screening target points suitable for offline marketing from the floors of the target building based on the characteristics of the floors in the target building.

It should be noted that the floor-based target point determining apparatus 700 can implement the method of fig. 3 and obtain the same technical effect, and details can refer to the method shown in fig. 3 and are not repeated.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

In short, the above description is only a preferred embodiment of the present disclosure, and is not intended to limit the scope of the present disclosure. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of the present disclosure should be included in the scope of protection of one or more embodiments of the present disclosure.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

Claims

1. A method for determining a destination point based on a floor, comprising:

2. The method of claim 1, wherein said extracting target information from said plurality of shipping addresses based on a predetermined algorithm comprises:

target information in the plurality of shipping addresses is extracted based on the named entity identification NER.

3. The method of claim 1, wherein the preset conditions include: the shipping address is located within a first type of building, the shipping address is a second type of shipping address, and the first type is associated with the second type.

4. The method of claim 3, wherein the first and second light sources are selected from the group consisting of,

the receiving address being located within a first type of building includes: the delivery address is located in a preset distance range of a first type of POI in the map.

5. The method according to claim 3 or 4,

the first type is an office building, and the second type is a work address.

6. The method of claim 5, further comprising, prior to said determining a characteristic of a floor of said target building based on characteristic data of users in said floor, further comprising:

obtaining feature data of a user in a floor of the target building from the platform;

wherein the feature data of the user includes at least one of a base feature and a consumption feature.

7. The method of claim 6, wherein the first and second light sources are selected from the group consisting of,

the base characteristics include at least one of age, gender, and occupation;

the consumption characteristics include at least one of consumption preference, consumption amount, consumption frequency and consumption time.

8. The method of claim 6 or 7, wherein said determining a characteristic of a floor of the target building based on characteristic data of users in the floor comprises:

determining consumer group characteristics of the floor of the target building based on the characteristic data of the users in the floor of the target building.

9. The method of claim 8, wherein said screening target sites from the floors of the targeted building suitable for implementing a targeted plan based on characteristics of the floors in the targeted building comprises:

and screening target point positions suitable for laying intelligent containers in the target building from the floors of the target building based on the consumer group characteristics of the floors in the target building.

10. A method for determining a destination point based on a floor, comprising:

11. A floor-based target point location determining apparatus, comprising:

12. A floor-based target point location determining apparatus, comprising:

13. An electronic device, comprising:

a processor; and

14. A computer-readable storage medium storing one or more programs that, when executed by an electronic device including a plurality of application programs, cause the electronic device to:

15. An electronic device, comprising:

a processor; and

16. A computer-readable storage medium storing one or more programs that, when executed by an electronic device including a plurality of application programs, cause the electronic device to: