CN110930217A - Decoration recommendation method and device, readable storage medium and processor - Google Patents

Decoration recommendation method and device, readable storage medium and processor Download PDF

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CN110930217A
CN110930217A CN201911071883.4A CN201911071883A CN110930217A CN 110930217 A CN110930217 A CN 110930217A CN 201911071883 A CN201911071883 A CN 201911071883A CN 110930217 A CN110930217 A CN 110930217A
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彭可
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Beike Technology Co Ltd
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Abstract

The embodiment of the invention provides a decoration recommendation method and device, a readable storage medium and a processor, and belongs to the technical field of intelligence. The method comprises the following steps: acquiring attribute information of a house to be decorated; obtaining a house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated; and recommending decoration according to the house similar to the house to be decorated. The decoration recommending method, the device, the readable storage medium and the processor can recommend a more suitable decoration mode to a user.

Description

Decoration recommendation method and device, readable storage medium and processor
Technical Field
The invention relates to the technical field of intelligence, in particular to a decoration recommendation method and device, a readable storage medium and a processor.
Background
The technical development that room was seen to present APP is rapid, can realize looking the operation in room on APP. For seeing a house, subsequent decoration design is an important consideration, but no matter a user looks at the house on APP or on the spot, the user can only see the actual survey picture of the house, but cannot know the situation of the house after decoration, so that the house is difficult to know comprehensively, and the subsequent decoration also causes great trouble to the user.
Disclosure of Invention
The embodiment of the invention aims to provide a decoration recommendation method, a decoration recommendation device, a readable storage medium and a processor.
In order to achieve the above object, an embodiment of the present invention provides a decoration recommendation method, including: acquiring attribute information of a house to be decorated; obtaining a house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated; and recommending decoration according to the house similar to the house to be decorated.
Preferably, the attribute information of the house to be finished includes: at least one of a city ID, a cell ID, a number of halls, a number of bedrooms, a number of kitchens, a number of bathrooms, an area, and an orientation.
Preferably, the obtaining of the house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated includes: obtaining the virtual coordinates of the house to be decorated according to the attribute information of the house to be decorated; obtaining the virtual coordinate of the house to be matched according to the attribute information of the house to be matched in the recommendation database; calculating cosine values between vectors formed from an origin to the virtual coordinates of the house to be finished and vectors formed from the origin to the virtual coordinates of the house to be matched; and when the difference between the cosine value and 1 is smaller than a first preset value, judging that the house to be matched is similar to the house to be decorated.
Preferably, the recommending the decoration according to the house similar to the house to be decorated comprises: judging the number of houses similar to the house to be decorated in the recommendation database; when the number of the houses similar to the house to be decorated is smaller than a second preset value, reducing the number of the attribute information of the house to be decorated to obtain the houses similar to the house to be decorated again; repeating the steps until the number of the houses similar to the house to be decorated, which is obtained again, is greater than or equal to the second preset value; and recommending the decoration of the houses with the number larger than or equal to the second preset value and similar to the house to be decorated to the user.
Preferably, the recommendation database is built by: acquiring a house type picture, a decoration picture and a decoration heart of a house to be stored; analyzing the decoration graph to obtain attribute information of the house to be stored; and establishing the recommendation database according to the address, the attribute information and the decoration heart of the decoration drawing of the house to be stored.
The embodiment of the invention also provides a decoration recommendation device, which comprises: the system comprises an acquisition unit, a matching unit and a recommendation unit, wherein the acquisition unit is used for acquiring attribute information of a house to be decorated; the matching unit is used for obtaining a house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated; and the recommending unit is used for recommending decoration according to the house similar to the house to be decorated.
Preferably, the attribute information of the house to be finished includes: at least one of a city ID, a cell ID, a number of halls, a number of bedrooms, a number of kitchens, a number of bathrooms, an area, and an orientation.
Preferably, the matching unit is further configured to: obtaining the virtual coordinates of the house to be decorated according to the attribute information of the house to be decorated; obtaining the virtual coordinate of the house to be matched according to the attribute information of the house to be matched in the recommendation database; calculating cosine values between vectors formed from an origin to the virtual coordinates of the house to be finished and vectors formed from the origin to the virtual coordinates of the house to be matched; and when the difference between the cosine value and 1 is smaller than a first preset value, judging that the house to be matched is similar to the house to be decorated.
Preferably, the recommending unit is further configured to: judging the number of houses similar to the house to be decorated in the recommendation database; when the number of the houses similar to the house to be decorated is smaller than a second preset value, reducing the number of the attribute information of the house to be decorated to obtain the houses similar to the house to be decorated again; repeating the steps until the number of the houses similar to the house to be decorated, which is obtained again, is greater than or equal to the second preset value; and recommending the decoration of the houses with the number larger than or equal to the second preset value and similar to the house to be decorated to the user.
Preferably, the obtaining unit is further configured to obtain a house type drawing, a decoration drawing, and a decoration mood of the house to be stored; the device also includes: the analysis unit is used for analyzing the decoration graph to obtain the attribute information of the house to be stored; and the database establishing unit is used for establishing the recommendation database according to the address, the attribute information and the decoration heart of the decoration drawing of the house to be stored.
Embodiments of the present invention also provide a machine-readable storage medium having stored thereon instructions for causing a machine to execute the decoration recommendation method described above.
An embodiment of the present invention further provides a processor, configured to run a program, where the program is run to perform: the fitment recommendation method as described above.
According to the technical scheme, by adopting the decoration recommendation method, the device, the readable storage medium and the processor, the attribute information of the house to be decorated is obtained firstly, then the house similar to the house to be decorated is obtained based on the recommendation database according to the attribute information of the house to be decorated, and finally decoration recommendation is carried out according to the house similar to the house to be decorated. The invention carries out decoration recommendation based on the attribute information of the house to be decorated, and can recommend a more suitable decoration mode to a user.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a flow chart of a fitment recommendation method according to an embodiment of the invention;
FIG. 2 is a flow chart of a similar house obtaining method provided by an embodiment of the invention;
FIG. 3 is a flowchart of a recommendation database establishment method according to an embodiment of the present invention;
FIG. 4 is a flowchart of a fitment recommendation method according to another embodiment of the invention;
fig. 5 is a schematic structural diagram of a decoration recommendation device according to an embodiment of the present invention.
Description of the reference numerals
1 acquisition unit 2 matching unit
3 recommendation means 4 analysis means
5 database establishing unit
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a flowchart of a decoration recommendation method according to an embodiment of the present invention. As shown in fig. 1, the method includes:
step S11, acquiring attribute information of the house to be decorated;
specifically, the attribute information of the house to be finished may include: at least one of a city ID, a cell ID, a number of halls, a number of bedrooms, a number of kitchens, a number of bathrooms, an area, and an orientation.
Step S12, obtaining a house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated;
specifically, as shown in fig. 2, the step may include:
step S21, obtaining the virtual coordinate of the house to be decorated according to the attribute information of the house to be decorated;
specifically, it is assumed that the attribute information of the house to be finished may include: number of living rooms, number of bedrooms, number of kitchens, number of toilets, area and orientation (assuming south to 1, north to 2, west to 3, east to 4, south to 5, north to east to 6, south to west to 7, north to west to 8).
Assuming that the number of bedrooms, the number of halls, the number of toilets, the number of kitchens, the orientation of south and the area of 80.91 square meters of the house to be decorated is 2, 1, 2, 1, 1, 80.91, the virtual coordinate of the house to be decorated is I ═ 2, 1, 2, 1, 1, 80.91.
Step S22, obtaining the virtual coordinate of the house to be matched according to the attribute information of the house to be matched in the recommendation database;
assuming that the number of bedrooms, the number of halls, the number of toilets, the number of kitchens, the orientation of north, and the area of 100 square meters of the house to be matched is 2, 2, 2, 2, 2, 100, the virtual coordinate of the house to be matched is J.
Step S23, calculating cosine values between a vector formed by the virtual coordinates of the house to be decorated from an origin and the vector formed by the virtual coordinates of the house to be matched from the origin;
specifically, starting from the origin, the arrival coordinates I and J pointing in different directions form two vectors. An included angle is formed between the two vectors, if the included angle is 0 degree, the direction is the same, the vectors are overlapped, and the fact that the texts represented by the two vectors are completely equal is shown; if the included angle is 90 degrees, the right angle is formed, and the directions are completely dissimilar; if the angle is 180 degrees, it means the direction is exactly opposite.
According to a cosine similarity calculation formula:
Figure BDA0002261204630000051
substituting the above coordinates I and J into the available cosine values:
Figure BDA0002261204630000061
and step S24, when the difference between the cosine value and 1 is smaller than a first preset value, judging that the house to be matched is similar to the house to be decorated.
Specifically, a cosine value between included angles of two vectors in a vector space is used for measuring the difference between the two individuals, the cosine value is close to 1, the included angle tends to 0, which indicates that the two vectors are more similar, the cosine value is close to 0, and the included angle tends to 90 degrees, which indicates that the two vectors are more dissimilar. Therefore, the embodiment of the present invention sets the first preset value, and determines similarity when the difference between the calculated cosine value and 1 is smaller than the first preset value.
In addition, specifically, for the establishment of the recommendation database, as shown in fig. 3, the recommendation database is established by the following method:
step S31, obtaining a house type drawing, a decoration drawing and a decoration heart of the house to be stored;
step S32, analyzing the decoration graph to obtain attribute information of the house to be stored;
and step S33, establishing the recommendation database according to the address, the attribute information and the decoration heart of the decoration drawing of the house to be stored.
The steps provide the implementation mode of the house type graph for the user, if the user directly provides the attribute information of the house, the attribute information can be directly stored, and after a large amount of attribute information and decoration hearts of the house are stored, a general and wide recommendation database is formed.
And step S13, decoration recommendation is carried out according to the house similar to the house to be decorated.
Specifically, as shown in fig. 4, this step may include:
step S41, judging whether the number of houses similar to the house to be decorated in the recommendation database is smaller than a preset value;
for example, if the cosine values of 8 houses obtained through the above steps meet the requirement, the number of houses similar to the house to be decorated is 8.
Step S42, when the number of the houses similar to the house to be decorated is smaller than a second preset value, reducing the number of the attribute information of the houses to be decorated to obtain the houses similar to the house to be decorated again;
for example, if the second preset value is set to 10 and the number of houses similar to the house to be decorated is 8, the attribute information, such as the area with the lowest weight, may be reduced according to the weight (e.g., hall number weight > bedroom number weight > kitchen number weight > bathroom number weight > orientation weight > area weight), the area may be removed, and then the similar houses may be calculated again as described above using the hall number, bedroom number, kitchen number, bathroom number, and orientation.
And if the number of the similar houses calculated in the previous step does not meet the requirement that the number of the similar houses is larger than or equal to the second preset value, reducing the attribute information, calculating the similar houses again, and repeating the steps until the number of the similar houses is larger than or equal to the second preset value.
And step S43, recommending the decoration of the houses with the number larger than or equal to the second preset value and similar to the house to be decorated to the user.
And the layout drawing, the decoration drawing and the attribute information of the house are recommended to the user.
Fig. 5 is a schematic structural diagram of a decoration recommendation device according to an embodiment of the present invention. As shown in fig. 5, the apparatus includes: the system comprises an acquisition unit 1, a matching unit 2 and a recommendation unit 3, wherein the acquisition unit 1 is used for acquiring attribute information of a house to be decorated; the matching unit 2 is used for obtaining a house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated; the recommendation unit 3 is used for recommending decoration according to a house similar to the house to be decorated.
Preferably, the attribute information of the house to be finished includes: at least one of a city ID, a cell ID, a number of halls, a number of bedrooms, a number of kitchens, a number of bathrooms, an area, and an orientation.
Preferably, the matching unit 2 is further configured to: obtaining the virtual coordinates of the house to be decorated according to the attribute information of the house to be decorated; obtaining the virtual coordinate of the house to be matched according to the attribute information of the house to be matched in the recommendation database; calculating cosine values between vectors formed from an origin to the virtual coordinates of the house to be finished and vectors formed from the origin to the virtual coordinates of the house to be matched; and when the difference between the cosine value and 1 is smaller than a first preset value, judging that the house to be matched is similar to the house to be decorated.
Preferably, the recommending unit 3 is further configured to: judging the number of houses similar to the house to be decorated in the recommendation database; when the number of the houses similar to the house to be decorated is smaller than a second preset value, reducing the number of the attribute information of the house to be decorated to obtain the houses similar to the house to be decorated again; repeating the steps until the number of the houses similar to the house to be decorated, which is obtained again, is greater than or equal to the second preset value; and recommending the decoration of the houses with the number larger than or equal to the second preset value and similar to the house to be decorated to the user.
Preferably, the obtaining unit 1 is further configured to obtain a house type drawing, a decoration drawing, and a decoration mood of the house to be stored; the device also includes: the analysis unit 4 is used for analyzing the decoration graph to obtain attribute information of the house to be stored; and the database establishing unit 5 is used for establishing the recommendation database according to the addresses, the attribute information and the decoration heart of the decoration images of the houses to be stored.
The embodiment of the decoration recommendation device is similar to the embodiment of the decoration recommendation method, and is not described herein again.
According to the technical scheme, by adopting the decoration recommendation method, the device, the readable storage medium and the processor, the attribute information of the house to be decorated is obtained firstly, then the house similar to the house to be decorated is obtained based on the recommendation database according to the attribute information of the house to be decorated, and finally decoration recommendation is carried out according to the house similar to the house to be decorated. The invention carries out decoration recommendation based on the attribute information of the house to be decorated, and can recommend a more suitable decoration mode to a user.
The decoration recommendation device comprises a processor and a memory, wherein the acquisition unit, the matching unit, the recommendation unit, the analysis unit, the database establishment unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and decoration recommendation is carried out by adjusting kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium having a program stored thereon, the program implementing the decoration recommendation method when executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the decoration recommendation method is executed when the program runs.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps:
acquiring attribute information of a house to be decorated; obtaining a house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated; and recommending decoration according to the house similar to the house to be decorated.
Preferably, the attribute information of the house to be finished includes: at least one of a city ID, a cell ID, a number of halls, a number of bedrooms, a number of kitchens, a number of bathrooms, an area, and an orientation.
Preferably, the obtaining of the house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated includes: obtaining the virtual coordinates of the house to be decorated according to the attribute information of the house to be decorated; obtaining the virtual coordinate of the house to be matched according to the attribute information of the house to be matched in the recommendation database; calculating cosine values between vectors formed from an origin to the virtual coordinates of the house to be finished and vectors formed from the origin to the virtual coordinates of the house to be matched; and when the difference between the cosine value and 1 is smaller than a first preset value, judging that the house to be matched is similar to the house to be decorated.
Preferably, the recommending the decoration according to the house similar to the house to be decorated comprises: judging the number of houses similar to the house to be decorated in the recommendation database; when the number of the houses similar to the house to be decorated is smaller than a second preset value, reducing the number of the attribute information of the house to be decorated to obtain the houses similar to the house to be decorated again; repeating the steps until the number of the houses similar to the house to be decorated, which is obtained again, is greater than or equal to the second preset value; and recommending the decoration of the houses with the number larger than or equal to the second preset value and similar to the house to be decorated to the user.
Preferably, the recommendation database is built by: acquiring a house type picture, a decoration picture and a decoration heart of a house to be stored; analyzing the decoration graph to obtain attribute information of the house to be stored; and establishing the recommendation database according to the address, the attribute information and the decoration heart of the decoration drawing of the house to be stored.
The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
acquiring attribute information of a house to be decorated; obtaining a house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated; and recommending decoration according to the house similar to the house to be decorated.
Preferably, the attribute information of the house to be finished includes: at least one of a city ID, a cell ID, a number of halls, a number of bedrooms, a number of kitchens, a number of bathrooms, an area, and an orientation.
Preferably, the obtaining of the house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated includes: obtaining the virtual coordinates of the house to be decorated according to the attribute information of the house to be decorated; obtaining the virtual coordinate of the house to be matched according to the attribute information of the house to be matched in the recommendation database; calculating cosine values between vectors formed from an origin to the virtual coordinates of the house to be finished and vectors formed from the origin to the virtual coordinates of the house to be matched; and when the difference between the cosine value and 1 is smaller than a first preset value, judging that the house to be matched is similar to the house to be decorated.
Preferably, the recommending the decoration according to the house similar to the house to be decorated comprises: judging the number of houses similar to the house to be decorated in the recommendation database; when the number of the houses similar to the house to be decorated is smaller than a second preset value, reducing the number of the attribute information of the house to be decorated to obtain the houses similar to the house to be decorated again; repeating the steps until the number of the houses similar to the house to be decorated, which is obtained again, is greater than or equal to the second preset value; and recommending the decoration of the houses with the number larger than or equal to the second preset value and similar to the house to be decorated to the user.
Preferably, the recommendation database is built by: acquiring a house type picture, a decoration picture and a decoration heart of a house to be stored; analyzing the decoration graph to obtain attribute information of the house to be stored; and establishing the recommendation database according to the address, the attribute information and the decoration heart of the decoration drawing of the house to be stored.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
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 identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (10)

1. A fitment recommendation method, the method comprising:
acquiring attribute information of a house to be decorated;
obtaining a house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated;
and recommending decoration according to the house similar to the house to be decorated.
2. A finishing recommendation method according to claim 1, wherein the attribute information of the house to be finished comprises:
at least one of a city ID, a cell ID, a number of halls, a number of bedrooms, a number of kitchens, a number of bathrooms, an area, and an orientation.
3. A decoration recommendation method according to claim 1, wherein obtaining a house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated comprises:
obtaining the virtual coordinates of the house to be decorated according to the attribute information of the house to be decorated;
obtaining the virtual coordinate of the house to be matched according to the attribute information of the house to be matched in the recommendation database;
calculating cosine values between vectors formed from an origin to the virtual coordinates of the house to be finished and vectors formed from the origin to the virtual coordinates of the house to be matched;
and when the difference between the cosine value and 1 is smaller than a first preset value, judging that the house to be matched is similar to the house to be decorated.
4. A fitment recommendation method according to claim 1, wherein said making a fitment recommendation based on said house similar to said house to be decorated comprises:
judging the number of houses similar to the house to be decorated in the recommendation database;
when the number of the houses similar to the house to be decorated is smaller than a second preset value, reducing the number of the attribute information of the house to be decorated to obtain the houses similar to the house to be decorated again;
repeating the steps until the number of the houses similar to the house to be decorated, which is obtained again, is greater than or equal to the second preset value;
and recommending the decoration of the houses with the number larger than or equal to the second preset value and similar to the house to be decorated to the user.
5. A finishing recommendation method according to claim 1, characterized in that said recommendation database is established by:
acquiring a house type picture, a decoration picture and a decoration heart of a house to be stored;
analyzing the decoration graph to obtain attribute information of the house to be stored;
and establishing the recommendation database according to the address, the attribute information and the decoration heart of the decoration drawing of the house to be stored.
6. A fitment recommendation device, the device comprising:
an obtaining unit, a matching unit and a recommending unit, wherein,
the acquisition unit is used for acquiring attribute information of the house to be decorated;
the matching unit is used for obtaining a house similar to the house to be decorated based on a recommendation database according to the attribute information of the house to be decorated;
and the recommending unit is used for recommending decoration according to the house similar to the house to be decorated.
7. A finishing recommendation device according to claim 6, wherein said property information of the house to be finished comprises:
at least one of a city ID, a cell ID, a number of halls, a number of bedrooms, a number of kitchens, a number of bathrooms, an area, and an orientation.
8. A fitment recommendation device according to claim 6, wherein said matching unit is further configured to:
obtaining the virtual coordinates of the house to be decorated according to the attribute information of the house to be decorated;
obtaining the virtual coordinate of the house to be matched according to the attribute information of the house to be matched in the recommendation database;
calculating cosine values between vectors formed from an origin to the virtual coordinates of the house to be finished and vectors formed from the origin to the virtual coordinates of the house to be matched;
and when the difference between the cosine value and 1 is smaller than a first preset value, judging that the house to be matched is similar to the house to be decorated.
9. A machine-readable storage medium having instructions stored thereon for causing a machine to perform the fitment recommendation method of any of claims 1-5.
10. A processor configured to execute a program, wherein the program is configured to perform: a finishing recommendation process as claimed in any one of claims 1 to 5.
CN201911071883.4A 2019-11-05 2019-11-05 Decoration recommendation method and device, readable storage medium and processor Pending CN110930217A (en)

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