CN110766519A - House decoration scheme recommendation system and method - Google Patents

House decoration scheme recommendation system and method Download PDF

Info

Publication number
CN110766519A
CN110766519A CN201910948077.4A CN201910948077A CN110766519A CN 110766519 A CN110766519 A CN 110766519A CN 201910948077 A CN201910948077 A CN 201910948077A CN 110766519 A CN110766519 A CN 110766519A
Authority
CN
China
Prior art keywords
user
house decoration
facial feature
elements
control module
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910948077.4A
Other languages
Chinese (zh)
Inventor
赵伟玉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wanyi Technology Co Ltd
Original Assignee
Wanyi Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wanyi Technology Co Ltd filed Critical Wanyi Technology Co Ltd
Priority to CN201910948077.4A priority Critical patent/CN110766519A/en
Publication of CN110766519A publication Critical patent/CN110766519A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/16Real estate
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174Facial expression recognition

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Human Computer Interaction (AREA)
  • Primary Health Care (AREA)
  • Development Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a house decoration scheme recommendation system, which comprises: the system comprises an experience module, an acquisition module and a control module, wherein the experience module is used for determining a first group of favorite elements of a user, matching at least one house decoration model for the user according to the first group of favorite elements and controlling a starting experience module to provide simulation experience of the at least one house decoration model for the user; and when the overall preference values of all the house decoration models are lower than a preset threshold value, acquiring a second group of preference elements of the user according to behavior data acquired by the acquisition module in the process that the user experiences each house decoration model, and determining a house decoration scheme preferred by the user according to the first group of preference elements and the second group of preference elements. The invention also discloses a method for recommending the house decoration scheme. According to the invention, the favorite elements of the user are obtained through user test and user experience, and the decoration scheme is recommended for the user according to the favorite elements of the user.

Description

House decoration scheme recommendation system and method
Technical Field
The invention relates to the field of home furnishing, in particular to a house decoration scheme recommendation system and a house decoration scheme recommendation method.
Background
Decoration, also known as decoration or decoration, is performed in a certain area and range, and comprises water and electricity construction, walls, floors, ceilings, landscapes and the like, a whole set of construction scheme and design scheme are formed according to a certain design concept and aesthetic rules, the design scheme is required to be selected according to the design style or design concept favored by users before house decoration, and a plurality of decoration schemes are designed by many decoration companies in the market according to the style favored by the masses and the design concept for the users to select.
At present, most decoration companies in the market determine decoration prices according to decoration schemes, so that the decoration schemes are mostly fixed and unchanged, and decoration styles are mainly in European style, modern style, simple style, rural style and the like; when a user determines a decoration scheme, two options are generally provided, one is to select an acceptable scheme from the decoration schemes provided by a decoration company as the decoration scheme, and the other is to hire a designer to customize a favorite decoration scheme, but the customization cost of the decoration scheme of the latter is too high, the customization period of the scheme is too long, and the designer needs to continuously communicate with a client to improve design elements; how to quickly grasp favorite elements of a user and automatically recommend a proper decoration scheme for the user becomes a big problem.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a house decoration scheme recommendation system and a method thereof, which are used for rapidly grasping favorite elements of a user and recommending a proper decoration scheme for the user.
In order to solve the above technical problem, the present invention provides a house finishing scheme recommendation system, including:
the experience module is used for providing simulated experience of at least one house decoration model for a user;
the acquisition module is used for acquiring behavior data of a user in the process of simulating experience;
the control module is used for testing the user, determining a first group of favorite elements of the user, matching at least one house decoration model for the user according to the first group of favorite elements, and controlling the starting experience module to provide simulation experience of the at least one house decoration model for the user; acquiring behavior data of the user according to the acquisition module in the process that the user experiences each house decoration model, and determining the integral preference value of the user to each house decoration model; and when the overall preference values of all the house decoration models are lower than a preset threshold value, acquiring a second group of preference elements of the user according to behavior data acquired by the acquisition module in the process that the user experiences each house decoration model, and determining a house decoration scheme preferred by the user according to the first group of preference elements and the second group of preference elements.
The invention also provides a heating supervision method, which is applied to a house decoration scheme recommendation system, and the house decoration scheme recommendation method comprises the following steps:
step S1, the control module tests the user, determines a first set of favorite elements of the user, and matches at least one house decoration model for the user according to the first set of favorite elements;
step S2, providing at least one house decoration model for the user to perform simulation experience through the experience module;
step S3, behavior data of the user in the process of simulating experience is collected through a collection module;
step S4, the control module determines the overall preference value of the user for each house decoration model according to the behavior data collected by the collection module in the process that the user experiences each house decoration model;
and step S5, when the overall preference values of all the house decoration models are lower than the preset threshold value, the control module acquires a second group of preference elements of the user according to the behavior data acquired by the acquisition module in the process that the user experiences each house decoration model, and determines the house decoration scheme preferred by the user according to the first group of preference elements and the second group of preference elements.
According to the house decoration scheme recommendation system and the method thereof, the first group of favorite elements of the user are determined through testing, and a proper house decoration model is recommended for the user; the method comprises the steps of determining a second group of favorite elements of a user by collecting and analyzing behavior data of the user in the process of simulating and experiencing a house decoration model, recommending or preparing a proper decoration scheme for the user according to the first group of favorite elements and the second group of favorite elements of the user, rapidly mastering user favorite and automatically recommending the proper decoration scheme for the user, and saving time and cost; the invention provides the simulation experience of at least one house decoration model for the user through the experience module, so that the user can better know the effect of the house decoration model and make a selection more in line with the needs of the user.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a block diagram showing a structure of a house improvement scheme recommendation system according to an embodiment of the present invention.
FIG. 2 is a block diagram of the architecture of the experience module of FIG. 1.
FIG. 3 is a schematic view of a display interface of a display unit of the experience module of FIG. 1.
Fig. 4 is a block diagram of the acquisition module of fig. 1.
Fig. 5 is a structural relationship diagram of a room finishing scheme recommending system of fig. 1.
FIG. 6 is a flow chart of a method for recommending a room finishing scheme in an embodiment of the present invention.
Fig. 7 is a sub-flowchart of step S1 in fig. 6.
Fig. 8 is a sub-flowchart of step S2 in fig. 6.
Fig. 9 is a sub-flowchart of step S3 in fig. 6.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
In the description of the embodiments of the present invention, it should be understood that the terms "first" and "second" are only used for convenience in describing the present invention and simplifying the description, and thus, should not be construed as limiting the present invention.
Referring to fig. 1, fig. 1 is a block diagram illustrating a building decoration scheme recommendation system 100 according to an embodiment of the invention.
As shown in fig. 1, a room finishing scheme recommending system 100, the room finishing scheme recommending system 100 includes:
an experience module 10 for providing a user with a simulated experience of at least one house decoration model;
the acquisition module 20 is used for acquiring behavior data of a user in the process of simulating experience;
the control module 30 is configured to test the user, determine a first set of favorite elements of the user, match at least one house decoration model for the user according to the first set of favorite elements, and control the starting experience module 10 to provide a simulation experience of the at least one house decoration model for the user; acquiring behavior data of the user in the process that the user experiences each house decoration model according to the acquisition module 20, and determining the integral preference value of the user to each house decoration model; and when the overall preference values of all the house decoration models are lower than the preset threshold value, acquiring a second group of preference elements of the user according to the behavior data acquired by the acquisition module 20 in the process of experiencing each house decoration model by the user, and determining a house decoration scheme preferred by the user according to the first group of preference elements and the second group of preference elements.
Therefore, according to the house decoration scheme recommendation system 100 provided by the invention, the first group of favorite elements of the user is determined through testing, and a proper house decoration model is recommended for the user; the method comprises the steps of determining a second group of favorite elements of a user by collecting and analyzing behavior data of the user in the process of simulating and experiencing a house decoration model, recommending or preparing a proper decoration scheme for the user according to the first group of favorite elements and the second group of favorite elements of the user, rapidly mastering user favorite and recommending the proper decoration scheme for the user, and saving time and cost; in addition, the invention provides the simulation experience of at least one house decoration model for the user through the experience module 10, so that the user can better know the effect of the house decoration model and make a selection more in line with the needs of the user.
In some embodiments, the control module 30 is configured to provide test questions, guide the user to complete the test questions, count favorite elements pre-bound to each answer according to the answers of the test questions completed by the user, and determine the counted favorite elements as the first group of favorite elements of the user.
The house decoration model is a scene image constructed according to images shot by a house after decoration according to the azimuth layout of each room, or a scene image of a three-dimensional model after house decoration constructed by three-dimensional modeling software and other decorated effect models, and a user can sequentially browse the corresponding scene images after house decoration according to the azimuth layout of the rooms to realize the effect of simulating experience. The house decoration model is internally provided with furniture home appliances which are displayed according to a normal proportion, and various favorite elements are correspondingly bound in the decoration, the components and the decoration layout of the scene image display of the house decoration model, for example, the scene image in the house decoration model comprises a white wooden round table, and the elements correspondingly bound by the white wooden round table comprise white, round table, leisure, heavy, original, natural and the like.
The decoration scheme refers to a whole set of house construction scheme and design scheme formed according to a certain design concept and aesthetic rules. The design concept is a leading idea established by designers in the process of designing spatial works and is mainly reflected in the connotation and style characteristics of a design scheme. Such as color matching, material selection, etc., and the finishing scheme may include a finishing scheme corresponding to the effect model of the house finishing model described above and other proposed finishing design schemes.
The favorite elements refer to favorite types cultured according to long-term living habits or characters of the user, the favorite elements can be embodied through the arrangement of houses and the selection of furniture, and the favorite elements can be classified according to favorite colors, favorite shapes, favorite patterns, favorite collections, favorite textures, favorite materials and the like.
The test questions are set according to the preference or the living habits of the user, can be set as selection questions and/or blank filling questions, the user can answer according to the preference or the preference of the user, the test questions comprise character and/or picture information, the number of the test questions can be preset, and the test can be added to the user or terminated according to the requirements of the user; the test question is bound with favorite elements in advance according to various answers, the corresponding relation between each answer and the favorite elements is not unique, one answer can correspond to a plurality of favorite elements, and a plurality of favorite elements can also be bound with a plurality of answers. For example: colors of the wall of the living room can be selected from () A, white, B, blue, C, yellow, D, beige and E … …, wherein the favorite elements bound corresponding to the white answers are white, concise and the like, the favorite elements bound corresponding to the blue answers are blue, fresh and the like, the favorite elements bound corresponding to the yellow answers are yellow, vitality and the like, and the favorite elements bound corresponding to the beige answers are beige, style and the like.
Specifically, the control module 30 generates test questions randomly or regularly, and guides the user to complete the test questions, and when the user answers the test questions, the control module 30 counts favorite elements bound to the user answers in each question according to the answers already answered by the user.
After the user completes the test or terminates the test, the control module 30 integrates the favorite elements obtained from all the answers of the user, keeps the uniqueness of each favorite element, and uses the counted favorite elements as the first group of favorite elements of the user.
The control module 30 matches the user's home improvement model based on the first set of favorite elements of the user.
Therefore, the first group of favorite elements of the user are obtained by analyzing the test answers of the user, the proper house decoration model is matched for the user according to the first group of favorite elements, the personality habits of the user are quickly known, the favorite of the user is mastered, and the proper house decoration scheme is conveniently recommended for the user in the later period.
Referring to fig. 2 and 3, fig. 2 is a block diagram of the experience module 10 in fig. 1, and fig. 3 is a schematic diagram of a display interface of the display unit 11 of the experience module 10 in fig. 1.
As shown in fig. 2, in some embodiments, the experience module 10 includes a display unit 11 and an operation unit 13, the display unit 11 is configured to display a scene image of the house decoration model containing the first set of favorite elements; the operation unit 13 is used for receiving user operation and transforming a scene image of the house decoration model according to the user operation.
The display unit 11 may be a display, the operation unit 13 may be a keyboard, a mouse, an operation rod, a touch panel, and the like, the display unit 11 and the operation unit 13 are connected to the control module 30 in a wired or wireless manner, and the display unit 11 acquires a scene image of the house decoration model to be displayed from the control module 30 and displays the scene image to a user for viewing. The operation unit 13 is configured to receive an operation request of a user, and transmit the operation request of the user to the control module 30, where the operation request includes a request for changing a scene image of the house decoration model, and the control module 30 changes the scene image of the house decoration model according to the operation request and then transmits the changed scene image to the display unit 11 for displaying; the transformation includes enlarging, reducing, switching scene images of the house decoration model, and the like.
The display unit 11 and the operation unit 13 may be integrated with the control unit 30 in an electronic device, or may be independent devices, for example, the display unit 11 may be an independent display, the operation unit 13 may be an independent keyboard, a mouse, an input device with a touch panel or an operation rod, and the like, and the control module 30 may be separately located in a host.
The control module 30 generates test questions randomly or regularly, and guides the user to complete the test questions; the control module 30 displays the test questions on the display unit 11, and determines answers input by the user in response to the input operation of the user to the operation unit 12.
As shown in fig. 3, the scene images of the house decoration model containing the first set of favorite elements refer to that the corresponding favorite elements are bound to the furnishings, components, decoration layouts, and the like shown in all the scene images of the house decoration model, and the favorite elements bound to all the scene images of the house decoration model contain the first set of favorite elements.
Specifically, the control module 30 matches at least one house decoration model including the first group of favorite elements of the user for the user according to the first group of favorite elements of the user, starts the experience module 10 to provide the user with the simulation experience of the at least one house decoration model, and sends the scene image of the house decoration model to the display unit 11 of the experience module 10.
After receiving the image data sent by the control module 30, the display unit 11 displays the image data.
The operation unit 13 is configured to receive an operation request of a user, and transmit the operation request of the user to the control module 30, and the control module 30 transforms a scene image of the house decoration model according to the operation request of the user, and transmits scene image data of the transformed house decoration model to the display unit 11 for displaying, so that the scene image data is displayed for the user to view, an interaction process between the user and the experience module 10 is completed, and simulated experience of the user on the house decoration model is achieved.
In other embodiments, the operation unit 13 and the display unit 11 may be collectively configured as a touch screen, the touch screen displays a preset image transformation option to a user in a human-computer interaction manner, the user inputs an image transformation request by clicking the preset image transformation option displayed on the display screen, the experience module 10 sends the image transformation request of the user to the control module 30, the control module 30 transforms a scene image of the house decoration model according to the image transformation request, and controls the display unit 11 to display the transformed scene image of the house decoration model, so as to facilitate a simulated experience of the user.
Referring to fig. 4, fig. 4 is a block diagram of the acquisition module 20 in fig. 1;
in some embodiments, the behavior data includes facial feature data of users, the collecting module 20 includes a camera 21, and the camera 21 is used for collecting facial feature data of a plurality of users in the process of simulating and experiencing each house decoration model by the users and transmitting the facial feature data to the control module 30; the control module 30 receives a plurality of user facial feature data collected by the camera 21, determines facial feature data matched with a preset facial feature template, and determines the overall preference value of the user for each house decoration model according to the facial feature data matched with the preset facial feature template.
The behavior data refers to data which can represent emotional expression of the user on the house decoration model, such as limb action data, facial feature data, watching time data and the like of the user, acquired by the acquisition module 20 in the process of experiencing the scene image of the house decoration model by the user.
The facial feature data refers to image data of facial expressions of a user in the process of watching a scene image of the house decoration model, and the facial expressions comprise facial expressions which can reflect the emotional changes of the user to the house decoration model, such as smiling, frowning, mouth-turning and the like.
The preset facial feature template refers to a preset template with a specific facial expression; when the facial feature data of the user collected by the camera contains a specific facial expression, the facial feature data is considered to be successfully matched with the preset facial feature template, for example: the smile template is used for determining whether the facial feature data meet the smile template by detecting whether the rising angle of the mouth corner in the facial feature data of the user collected by the camera 21 reaches a preset angle; the preset facial feature templates may include positive facial feature templates, that is, facial feature templates are preset according to facial features exhibited by the user in positive emotions, for example, a preset smile template, a preset excitement template, and the like; a negative facial feature template may also be included, i.e., a facial feature template is set in advance according to facial features that a user exhibits in negative emotions, for example, an aversion template is set in advance.
The overall preference value is an overall preference value of a certain house decoration model experienced by a user and is used for evaluating the overall preference degree of the user on the certain house decoration model; the overall preference value is determined by the control module 30 based on the plurality of facial feature data collected by the collection module 20.
As shown in fig. 4, the collection module 20 includes a camera 21, the camera 21 is independently disposed outside the electronic device, and is connected to the control module 30 in a wired or wireless manner, and collects complete facial feature data of a user by setting a specific shooting angle of the camera 21, and the camera 21 collects facial feature data of the user in a process of simulating and experiencing each house decoration model in real time, and transmits the collected facial feature data to the control module 30.
The control module 30 includes a Processor, the Processor is disposed in the host device, and the control module 30 may be a Central Processing Unit (CPU), or other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the control module 30 is a control center of the room finishing scheme recommending system 100 and connects the various modules of the whole room finishing scheme recommending system 100 by using a wired or wireless line. For processing the data transmitted by each module.
As shown in fig. 1, the house-fitment-scheme recommending system 100 further includes a storage module 40, the storage module 40 is disposed inside the host device, and the storage module 40 is connected with the control module 30 in a wired or wireless manner; the memory module 40 may include high speed random access memory and may also include non-volatile memory such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), a plurality of magnetic disk storage devices, a Flash memory device, or other volatile solid state storage devices.
A large number of scene images of the house decoration model are stored in the storage module 40 in advance, and are used for assisting the control module 30 to call the scene images of the house decoration model when needed; the storage module 40 further stores favorite elements bound to scene images of the house decoration model, facial feature data collected by the camera 21, the preset facial feature template, and the like.
Specifically, the acquisition module 20 captures a plurality of facial feature data of the user in the process of simulating and experiencing each house decoration model through the camera 21, the facial feature data captured by the camera 21 include both facial feature data matched with the active facial feature template and facial feature data matched with the passive facial feature template, and the acquisition module 20 transmits the facial feature data captured by the camera 21 to the control module 30 in a wired or wireless manner.
After receiving a plurality of facial feature data of the user shot by the camera 21, the control module 30 matches each facial feature data with the positive facial feature template and the negative facial feature template, and sets a score for each facial feature data according to a matching result; the control module 30 determines the overall preference value of the user for each of the house decoration models by counting the total score of the matched facial feature data.
In a specific scenario, when a certain facial feature data is successfully matched with the positive facial feature template, the control module 30 sets a positive value for the facial feature data, and when the certain facial feature data is successfully matched with the negative facial feature template, the control module 30 sets a negative value for the facial feature data; the values given by the facial feature data matching different facial feature templates are also different; and finally, accumulating the scores of all the facial feature data to calculate the overall preference value of the house decoration model.
In other embodiments, the preset facial feature template may be only a positive facial feature template or only a negative facial feature template, and the control module 30 matches each facial feature data with the preset facial feature template after receiving a plurality of facial feature data of the user captured by the camera 21, and determines an overall preference value for each house decoration model according to the matching result.
In other embodiments, the camera 21 may be disposed inside the electronic device, specifically, disposed above the display screen and facing the face of the user, so as to facilitate collecting facial feature data of the user when the user watches a scene image of the house decoration model displayed on the display screen.
In other embodiments, the acquisition module 20 further acquires, through the camera 21, limb motion data and/or gaze time data of the user, where the limb motion data includes a behavior motion of the user on a scene image of the house decoration model displayed on the display screen, for example, a motion of the user pointing to the display screen, a motion of the user clapping hands, a motion of the user nodding heads, and the like. The fixation time data refers to the times that the fixation time of a user on a scene image of a certain house decoration model exceeds preset time; the control module 30 determines the overall preference value of the house decoration model according to the limb action data and/or the fixation time data of the user collected by the camera 21.
As shown in fig. 4, in other embodiments, the acquisition module 20 further includes a recording unit 23, where the recording unit 23 is disposed inside the electronic device and connected to the control model in a wired or wireless manner; the voice data acquisition module is used for acquiring voice data of a user watching a scene image of the house decoration model displayed on the display screen and transmitting the voice data to the control module 30; the control module 30 performs voice recognition on the voice data, converts the voice data into text data, and searches the text data according to preset keywords, wherein the preset keywords include positive texts and/or negative texts, and when positive texts such as good, good and excellent texts are searched, the control module 30 adds points to the overall preference value of the house decoration model. When a negative word, such as bad, dislike, etc., is retrieved, the control module 30 decrements or does not add the score to the overall preference value for the house-fitment model, determining the user's overall preference value for the house-fitment model.
Therefore, the control module 30 of the present invention collects behavior data expressed by the user in the process of simulating and experiencing the house decoration model through the collection module 20, determines the overall preference value of the user for the house decoration model, and knows the degree of the user liking the house decoration scheme according to the overall preference value of the user for the house decoration model, thereby facilitating correction of recommendation errors and understanding of user requirements.
Referring to fig. 5, fig. 5 is a structural relationship diagram of a room improvement plan recommendation system 100 of fig. 1.
As shown in fig. 5, in some embodiments, the control module 30 is further configured to, when determining facial feature data matching a preset facial feature template, obtain content currently displayed by the display unit 11, and form a binding relationship between the currently displayed content and the facial feature data matching the preset facial feature template.
When the overall preference value of the user for at least one of the experienced house decoration models is higher than or equal to the preset threshold, the control module 30 is configured to determine that the house decoration scheme corresponding to the at least one house decoration model is the house decoration scheme preferred by the user.
When the overall preference value of the user for all the house decoration models is lower than the preset threshold value, the control module 30 is configured to use the elements in the display content bound to the facial feature data matched with the preset facial feature template as the second group of preference elements of the user, and search for a house decoration scheme including the first group of preference elements and the second group of preference elements to determine the house decoration scheme preferred by the user, or plan the house decoration scheme preferred by the user for the user according to the first group of preference elements and the second group of preference elements.
The preset threshold value refers to a preset standard for evaluating the house decoration model favored by the user; the preset threshold is a fixed numerical value; and when the determined integral preference value of the house decoration model is higher than or equal to the preset threshold value, determining that the user is wholly satisfied with the house decoration model, and determining that a house decoration scheme corresponding to the house decoration model can be recommended to the user. And when the determined integral preference value of the house decoration model is lower than the preset threshold value, determining that the user is not satisfied with the house decoration model integrally, and recommending other house decoration schemes to the user.
Specifically, after the control module 30 receives facial feature data of a user shot by the camera 21, the facial feature data is matched with a preset facial feature template, when the facial feature data is successfully matched with the positive facial feature template, the control module 30 acquires content currently displayed by the display unit 11, that is, acquires a scene image of a currently displayed house decoration model, and forms a binding relationship between the facial feature data and the scene image of the house decoration model, and the control module 30 controls to store the facial feature data and the scene image of the house decoration model in the storage module 40; through the binding relationship, the control module 30 may retrieve the scene image corresponding to the bound house decoration model according to the facial feature data.
After the user has experienced all the house decoration models in a simulation manner, when the control module 30 determines that the overall preference value of the user for at least one of the experienced house decoration models is higher than or equal to the preset threshold value, that is, the user is satisfied with at least one of the experienced house decoration models, the control module 30 provides the decoration scheme corresponding to the at least one house decoration model to the user, and the decoration scheme is used as the house decoration scheme preferred by the user.
When the control module 30 determines that the overall preference value of the user for all the house decoration models is lower than the preset threshold value, that is, the user is not satisfied with all the simulated experienced house decoration models, the control module 30 calls the scene images of the correspondingly bound house decoration models according to the facial feature data stored in the storage module 40 through the binding relationship, and counts preference elements correspondingly bound with the furnishings, components, decoration layouts and the like displayed in the scene images to serve as a second group of preference elements of the user; the control module 30 searches the storage module 40 for a room decoration scheme including the first set of favorite elements and the second set of favorite elements, and recommends the room decoration scheme as a user-preferred room decoration scheme to the user.
Besides, when the first set of favorite elements and the second set of favorite elements are sufficient, the control module 30 can extract required elements from the first favorite elements and the second favorite elements according to the reserved decoration scheme, and fill the required elements into the reserved decoration scheme to plan the house decoration scheme preferred by the user for the user. The reserved decoration scheme refers to a preset blank decoration frame scheme.
In other embodiments, when the control module 30 determines that the overall preference values of the user for all the house decoration models are lower than the preset threshold, the control module 30 may control the display unit 11 to display the first group of preference elements and the second group of preference elements to the user, and guide the user to delete the wrong preference elements through the operation unit 13, thereby completing the filtering of the first group of preference elements and the second group of preference elements; in addition, the control module 30 may guide the user to add favorite elements through the display screen, so as to complete the first group of favorite elements and the second group of favorite elements of the user, and the control module 30 may retrieve a suitable room decoration scheme from the storage module 40 or plan a room decoration scheme for the user according to the first group of favorite elements, the second group of favorite elements, and the added favorite elements of the user.
Therefore, the preference of the user to the house decoration model is determined according to the collected behavior data in the user simulation experience process, the second group of preference elements of the user are analyzed according to the behavior data, the first group of preference elements and the second group of preference elements are integrated to recommend a proper house decoration scheme for the user, or the proper house decoration scheme is planned for the user, the selection accuracy of the user decoration scheme is improved, and the time and the cost for repeatedly recommending the decoration scheme for the user are saved.
Referring to fig. 6, fig. 6 is a flowchart of a method for recommending a room decoration scheme according to an embodiment of the present invention.
As shown in fig. 6, the present invention also provides a house finishing scheme recommendation method, including: in step S1, the control module 30 tests the user to determine a first set of favorite elements of the user and matches at least one of the house decoration models for the user based on the first set of favorite elements. Step S2, providing at least one house decoration model for the user to perform simulation experience through the experience module 10; step S3, capturing behavior data of the user during the simulated experience through the capturing module 20. In step S4, the control module 30 determines the overall preference value of the user for each house decoration model according to the behavior data collected by the collection module 20 during the experience of the user with each house decoration model. In step S5, when the overall preference values of all the house decoration models are lower than the preset threshold, the control module 30 obtains a second group of preference elements of the user according to the behavior data collected by the collection module 20 in the process of experiencing each house decoration model, and determines the house decoration scheme preferred by the user according to the first group of preference elements and the second group of preference elements.
Referring to fig. 7, fig. 7 is a sub-flowchart of step S1 in fig. 6.
As shown in FIG. 7, in some embodiments, the step S1 includes a step S11, the control module 30 provides test questions and guides the user to complete the test questions. In step S12, the control module 30 counts favorite elements pre-bound to each answer according to the answers of the test questions completed by the user, and determines the counted favorite elements as a first group of favorite elements of the user.
Specifically, the control module 30 generates test questions randomly or regularly, and guides the user to complete the test questions, and when the user answers the test questions, the control module 30 counts favorite elements bound to the user answers in each question according to the answers already answered by the user.
After the user completes the test or terminates the test, the control module 30 integrates the favorite elements obtained from all the answers of the user, keeps the uniqueness of each favorite element, and uses the counted favorite elements as the first group of favorite elements of the user. The control module 30 matches the user's home improvement model based on the first set of favorite elements of the user.
Therefore, the first group of favorite elements of the user are obtained by analyzing the test answers of the user, the proper house decoration model is matched for the user according to the first group of favorite elements, the personality habits of the user are quickly known, the favorite of the user is mastered, and the proper house decoration scheme is conveniently recommended for the user in the later period.
Referring to fig. 8, fig. 8 is a sub-flowchart of step S2 in fig. 6.
As shown in fig. 8, in some embodiments, the experience module 10 includes a display unit 11 and an operation unit 13, and the step S2 includes: in step S21, a scene image of the house decoration model including the first set of favorite elements is displayed through the display unit 11. In step S22, a user operation is received through the operation unit 13 and a scene image of the house finishing model is transformed according to the user operation.
Specifically, the control module 30 matches at least one house decoration model including the first group of favorite elements of the user for the user according to the first group of favorite elements of the user, starts the experience module 10 to provide the user with the simulation experience of the at least one house decoration model, and sends the scene image of the house decoration model to the display unit 11 of the experience module 10. After receiving the image data sent by the control module 30, the display unit 11 displays the image data. The operation unit 13 is configured to receive an operation request of a user, and transmit the operation request of the user to the control module 30, and the control module 30 transforms a scene image of the house decoration model according to the operation request of the user, and transmits scene image data of the transformed house decoration model to the display unit 11 for displaying, so that the scene image data is displayed for the user to view, an interaction process between the user and the experience module 10 is completed, and simulated experience of the user on the house decoration model is achieved.
Referring to fig. 9, fig. 9 is a sub-flowchart of step S3 in fig. 6.
As shown in fig. 9, in some embodiments, the behavior data includes facial feature data of the user, the capturing module 20 includes the camera 21, and the step S3 includes: step S31, collecting facial feature data of the user through the camera 21 during the process of simulating and experiencing each house decoration model by the user, and transmitting the facial feature data to the control module 30. In step S32, after receiving the facial feature data of the user collected by the camera 21, the control module 30 determines facial feature data matching a preset facial feature template. In step S33, the control module 30 determines the overall preference value of the user for each house decoration model according to the facial feature data matched with the preset facial feature template.
Specifically, the acquisition module 20 captures a plurality of facial feature data of the user in the process of simulating and experiencing each house decoration model through the camera 21, the facial feature data captured by the camera 21 include both facial feature data matched with the active facial feature template and facial feature data matched with the passive facial feature template, and the acquisition module 20 transmits the facial feature data captured by the camera 21 to the control module 30 in a wired or wireless manner.
After receiving a plurality of facial feature data of the user shot by the camera 21, the control module 30 matches each facial feature data with the positive facial feature template and the negative facial feature template, and sets a score for each facial feature data according to a matching result; the control module 30 determines the overall preference value of the user for each of the house decoration models by counting the total score of the matched facial feature data.
In a specific scenario, when a certain facial feature data is successfully matched with the positive facial feature template, the control module 30 sets a positive value for the facial feature data, and when the certain facial feature data is successfully matched with the negative facial feature template, the control module 30 sets a negative value for the facial feature data; the values given by the facial feature data matching different facial feature templates are also different; and finally, accumulating the scores of all the facial feature data to calculate the overall preference value of the house decoration model.
In some embodiments, the step S32 includes: the control module 30 determines facial feature data matched with a preset facial feature template after receiving the facial feature data of the user collected by the camera 21, and the control module 30 acquires the content currently displayed by the display unit 11 when determining the facial feature data matched with the preset facial feature template, and forms a binding relationship between the content currently displayed and the facial feature data matched with the preset facial feature template; the step S5 includes: when the overall preference value of the user for the experienced certain house decoration model is higher than or equal to the preset threshold value, the control module 30 determines that the house decoration scheme corresponding to the house decoration model is the house decoration scheme preferred by the user. When the overall preference value of the user for all the house decoration models is lower than the preset threshold value, the control module 30 uses the elements in the display content bound with the facial feature data matched with the preset facial feature template as the second group of preference elements of the user, and searches for a house decoration scheme containing the first group of preference elements and the second group of preference elements to determine the house decoration scheme preferred by the user, or plans the house decoration scheme preferred by the user for the user according to the first group of preference elements and the second group of preference elements.
Specifically, after the control module 30 receives facial feature data of a user shot by the camera 21, the facial feature data is matched with a preset facial feature template, when the facial feature data is successfully matched with the positive facial feature template, the control module 30 acquires content currently displayed by the display unit 11, that is, acquires a scene image of a currently displayed house decoration model, and forms a binding relationship between the facial feature data and the scene image of the house decoration model, and the control module 30 controls to store the facial feature data and the scene image of the house decoration model in the storage module 40; through the binding relationship, the control module 30 may retrieve the scene image corresponding to the bound house decoration model according to the facial feature data.
After the user has experienced all the house decoration models in a simulation manner, when the control module 30 determines that the overall preference value of the user for at least one of the experienced house decoration models is higher than or equal to the preset threshold value, that is, the user is satisfied with at least one of the experienced house decoration models, the control module 30 provides the decoration scheme corresponding to the at least one house decoration model to the user, and the decoration scheme is used as the house decoration scheme preferred by the user.
When the control module 30 determines that the overall preference value of the user for all the house decoration models is lower than the preset threshold value, that is, the user is not satisfied with all the simulated experienced house decoration models, the control module 30 calls the scene images of the correspondingly bound house decoration models according to the facial feature data stored in the storage module 40 through the binding relationship, and counts preference elements correspondingly bound with the furnishings, components, decoration layouts and the like displayed in the scene images to serve as a second group of preference elements of the user; the control module 30 searches the storage module 40 for a room decoration scheme including the first set of favorite elements and the second set of favorite elements, and recommends the room decoration scheme as a user-preferred room decoration scheme to the user.
Besides, when the first set of favorite elements and the second set of favorite elements are sufficient, the control module 30 can extract required elements from the first favorite elements and the second favorite elements according to the reserved decoration scheme, and fill the required elements into the reserved decoration scheme to plan the house decoration scheme preferred by the user for the user. The reserved decoration scheme refers to a preset blank decoration frame scheme.
The house finishing scheme recommending method of the present invention is applied to the house finishing scheme recommending system 100, and the steps of the method are performed corresponding to the functions performed by the house finishing scheme recommending system 100, and more specific description can refer to the related contents of the house finishing scheme recommending system 100.
The house improvement scheme recommendation method provided by the present invention can be implemented in hardware, firmware, or as software or computer code that can be stored in a computer readable storage medium such as a CD, ROM, RAM, floppy disk, hard disk, or magneto-optical disk, or as computer code that is originally stored on a remote recording medium or a non-transitory machine readable medium, downloaded over a network, and stored in a local recording medium, so that the method described herein can be presented using a general purpose computer or special processor 31 or in programmable or dedicated hardware such as an ASIC or FPGA as software stored on a recording medium. As can be appreciated in the art, the computer, processor 31, microprocessor 31, controller or programmable hardware includes memory components, e.g., RAM, ROM, flash memory, etc., which can store or receive software or computer code when the computer, processor 31 or hardware accesses and executes the software or computer code implementing the processing methods described herein. In addition, when a general-purpose computer accesses code for implementing the processing shown herein, execution of the code transforms the general-purpose computer into a special-purpose computer for performing the processing shown herein.
The computer readable storage medium may be a solid state memory, a memory card, an optical disc, etc. The computer-readable storage medium stores program instructions for the computer to execute the house improvement scheme recommendation method shown in fig. 5 to 7 when called. The computer readable storage medium may also be the aforementioned memory.
According to the house decoration scheme recommendation system 100 and the method thereof, the first group of favorite elements of the user are determined through testing, and a proper house decoration model is recommended for the user; the method comprises the steps of determining a second group of favorite elements of a user by collecting and analyzing behavior data of the user in the process of simulating and experiencing a house decoration model, recommending or preparing a proper decoration scheme for the user according to the first group of favorite elements and the second group of favorite elements of the user, rapidly mastering user favorite and recommending the proper decoration scheme for the user, and saving time and cost; the invention provides the simulation experience of at least one house decoration model for the user through the experience module, so that the user can better know the effect of the house decoration model and make a selection more in line with the needs of the user.
The foregoing is illustrative of embodiments of the present invention, and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the embodiments of the present invention and are intended to be within the scope of the present invention.

Claims (10)

1. A room finishing scheme recommendation system, comprising:
the experience module is used for providing simulated experience of at least one house decoration model for a user;
the acquisition module is used for acquiring behavior data of a user in the process of simulating experience;
the control module is used for testing the user, determining a first group of favorite elements of the user, matching at least one house decoration model for the user according to the first group of favorite elements, and controlling the starting experience module to provide simulation experience of the at least one house decoration model for the user; acquiring behavior data of the user according to the acquisition module in the process that the user experiences each house decoration model, and determining the integral preference value of the user to each house decoration model; and when the overall preference values of all the house decoration models are lower than a preset threshold value, acquiring a second group of preference elements of the user according to behavior data acquired by the acquisition module in the process that the user experiences each house decoration model, and determining a house decoration scheme preferred by the user according to the first group of preference elements and the second group of preference elements.
2. The room finishing scheme recommending system of claim 1, wherein the control module is configured to provide test questions and guide the user to complete the test questions, count favorite elements pre-bound to each answer according to the answers of the test questions completed by the user, and determine the counted favorite elements as the first set of favorite elements of the user.
3. The room finishing scheme recommendation system of claim 1, wherein the experience module comprises a display unit and an operation unit,
the display unit is used for displaying a scene image of the house decoration model containing the first group of favorite elements;
the operation unit is used for receiving user operation and transforming a scene image of the house decoration model according to the user operation.
4. The room finishing scheme recommendation system of claim 1, wherein the behavior data comprises user facial feature data, and the collection module comprises a camera for collecting facial feature data of a plurality of users during a user simulated experience of each room finishing model and transmitting the facial feature data to the control module; the control module determines the facial feature data matched with the preset facial feature template after receiving the facial feature data of the users collected by the camera, and determines the overall preference value of the users to each house decoration model according to the facial feature data matched with the preset facial feature template.
5. The building finishing scheme recommendation system according to claim 4, wherein the control module is further configured to, upon determining facial feature data matching the preset facial feature template, obtain a content currently displayed by the display unit, and form a binding relationship between the currently displayed content and the facial feature data matching the preset facial feature template;
when the overall preference value of the user to at least one of the experienced house decoration models is higher than or equal to a preset threshold value, the control module is used for determining that the house decoration scheme corresponding to the at least one house decoration model is the house decoration scheme preferred by the user;
when the integral preference values of the user to all the house decoration models are lower than the preset threshold value, the control module is used for taking elements in display contents bound with the facial feature data matched with the preset facial feature template as a second group of preference elements of the user, searching a house decoration scheme containing the first group of preference elements and the second group of preference elements and determining the house decoration scheme as the house decoration scheme preferred by the user, or planning the house decoration scheme preferred by the user for the user according to the first group of preference elements and the second group of preference elements.
6. A house decoration scheme recommendation method is applied to a house decoration scheme recommendation system and is characterized by comprising the following steps:
step S1, the control module tests the user, determines a first set of favorite elements of the user, and matches at least one house decoration model for the user according to the first set of favorite elements;
step S2, providing at least one house decoration model for the user to perform simulation experience through the experience module;
step S3, behavior data of the user in the process of simulating experience is collected through a collection module;
step S4, the control module determines the overall preference value of the user for each house decoration model according to the behavior data collected by the collection module in the process that the user experiences each house decoration model;
and step S5, when the overall preference values of all the house decoration models are lower than the preset threshold value, the control module acquires a second group of preference elements of the user according to the behavior data acquired by the acquisition module in the process that the user experiences each house decoration model, and determines the house decoration scheme preferred by the user according to the first group of preference elements and the second group of preference elements.
7. The room finishing scheme recommending method of claim 6, wherein said step S1 includes:
step S11, the control module provides test questions and guides the user to finish the test questions;
in step S12, the control module counts favorite elements pre-bound to each answer according to the answers of the test questions completed by the user, and determines the counted favorite elements as a first group of favorite elements of the user.
8. The room finishing scheme recommending method of claim 6, wherein the experience module includes a display unit and an operation unit, and the step S2 includes:
step S21, displaying a scene image of the house decoration model including the first set of favorite elements through the display unit;
in step S22, a user operation is received through the operation unit and a scene image of the house decoration model is transformed according to the user operation.
9. The method of claim 6, wherein the behavior data includes facial feature data of the user, the collecting module includes a camera, and the step S3 includes:
step S31, collecting user face feature data in the process of simulating and experiencing each house decoration model by a user through a camera, and transmitting the user face feature data to a control module;
step S32, after receiving the user facial feature data collected by the camera, the control module determines the facial feature data matched with a preset facial feature template;
and step S33, the control module determines the overall preference value of the user for each house decoration model according to the facial feature data matched with the preset facial feature template.
10. The room finishing scheme recommending method of claim 9, wherein said step S32 includes:
the control module receives user facial feature data collected by the camera and then determines facial feature data matched with a preset facial feature template, and when the control module determines the facial feature data matched with the preset facial feature template, the control module acquires the content currently displayed by the display unit;
forming a binding relationship between the currently displayed content and the facial feature data matched with the preset facial feature template;
the step S5 includes:
when the overall preference value of a user to an experienced house decoration model is higher than or equal to a preset threshold value, the control module determines that a house decoration scheme corresponding to the house decoration model is the house decoration scheme preferred by the user;
when the integral preference values of the user to all the house decoration models are lower than the preset threshold value, the control module takes the elements in the display content bound with the facial feature data matched with the preset facial feature template as a second group of preference elements of the user, and searches for a house decoration scheme containing the first group of preference elements and the second group of preference elements to determine the house decoration scheme preferred by the user, or plans the house decoration scheme preferred by the user for the user according to the first group of preference elements and the second group of preference elements.
CN201910948077.4A 2019-09-30 2019-09-30 House decoration scheme recommendation system and method Pending CN110766519A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910948077.4A CN110766519A (en) 2019-09-30 2019-09-30 House decoration scheme recommendation system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910948077.4A CN110766519A (en) 2019-09-30 2019-09-30 House decoration scheme recommendation system and method

Publications (1)

Publication Number Publication Date
CN110766519A true CN110766519A (en) 2020-02-07

Family

ID=69331041

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910948077.4A Pending CN110766519A (en) 2019-09-30 2019-09-30 House decoration scheme recommendation system and method

Country Status (1)

Country Link
CN (1) CN110766519A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113094801A (en) * 2021-04-30 2021-07-09 土巴兔集团股份有限公司 Decoration simulation image generation method, device, equipment and medium
CN113656874A (en) * 2021-08-18 2021-11-16 铜陵市人人网络科技有限公司 Visual analysis management system based on big data
CN114820108A (en) * 2022-03-30 2022-07-29 浙江猫精人工智能科技有限公司 Decoration scheme recommendation method and device, electronic equipment, medium and program product
CN116030217A (en) * 2023-03-30 2023-04-28 深圳朗生整装科技有限公司 Fitment scene rendering method and system based on customer emotion

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150186912A1 (en) * 2010-06-07 2015-07-02 Affectiva, Inc. Analysis in response to mental state expression requests
CN107944124A (en) * 2017-11-20 2018-04-20 上海得见计算机科技有限公司 Indoor design method and system based on user interest preference
CN109002583A (en) * 2018-06-21 2018-12-14 黄冈职业技术学院 A kind of indoor design method and system based on user interest preference
CN109685611A (en) * 2018-12-15 2019-04-26 深圳壹账通智能科技有限公司 A kind of Products Show method, apparatus, computer equipment and storage medium

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150186912A1 (en) * 2010-06-07 2015-07-02 Affectiva, Inc. Analysis in response to mental state expression requests
CN107944124A (en) * 2017-11-20 2018-04-20 上海得见计算机科技有限公司 Indoor design method and system based on user interest preference
CN109002583A (en) * 2018-06-21 2018-12-14 黄冈职业技术学院 A kind of indoor design method and system based on user interest preference
CN109685611A (en) * 2018-12-15 2019-04-26 深圳壹账通智能科技有限公司 A kind of Products Show method, apparatus, computer equipment and storage medium

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113094801A (en) * 2021-04-30 2021-07-09 土巴兔集团股份有限公司 Decoration simulation image generation method, device, equipment and medium
CN113094801B (en) * 2021-04-30 2022-07-12 土巴兔集团股份有限公司 Decoration simulation image generation method, device, equipment and medium
CN113656874A (en) * 2021-08-18 2021-11-16 铜陵市人人网络科技有限公司 Visual analysis management system based on big data
CN114820108A (en) * 2022-03-30 2022-07-29 浙江猫精人工智能科技有限公司 Decoration scheme recommendation method and device, electronic equipment, medium and program product
CN116030217A (en) * 2023-03-30 2023-04-28 深圳朗生整装科技有限公司 Fitment scene rendering method and system based on customer emotion

Similar Documents

Publication Publication Date Title
CN110766519A (en) House decoration scheme recommendation system and method
CN112771472B (en) System and method for providing real-time product interactive assistance
CN109176535B (en) Interaction method and system based on intelligent robot
CN112073741A (en) Live broadcast information processing method and device, electronic equipment and storage medium
CN110110104B (en) Method and device for automatically generating house explanation in virtual three-dimensional space
CN113255052B (en) Home decoration scheme recommendation method and system based on virtual reality and storage medium
US20150222682A1 (en) Asynchronous Video Communication Integration System
US10467920B2 (en) Layered multimedia interactive assessment system
CN110248246B (en) Data analysis method and device, computer equipment and computer readable storage medium
CN103686344A (en) Enhanced video system and method
CN116561276A (en) Knowledge question-answering method, device, equipment and storage medium
CN108231090A (en) Text reading level appraisal procedure, device and computer readable storage medium
CN109886775A (en) House advantage and disadvantage appraisal procedure, device, equipment and computer readable storage medium
CN116543082B (en) Digital person generation method and device and digital person generation system
CN110297975A (en) Appraisal procedure, device, electronic equipment and the storage medium of Generalization bounds
CN109739353A (en) A kind of virtual reality interactive system identified based on gesture, voice, Eye-controlling focus
CN113641836A (en) Display method and related equipment thereof
CN111078005B (en) Virtual partner creation method and virtual partner system
CN116933362A (en) Automatic generation method and device for indoor design scheme, computer equipment and medium
CN107729528A (en) A kind of building information acquisition methods and device, computer installation and computer-readable recording medium
CN104837065B (en) Two-dimensional barcode information sharing method and system between television terminal and mobile terminal
JP2020095615A (en) Generator, method for generation, and generating program
JP2002073726A (en) Dwelling house simulation system
CN115374520A (en) Public area overall style transformation system and method based on virtual scene
Jiao Research and application of human-computer interface based on user experience

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20200207