TWM630887U - Audio-guided house unit with recommendation function - Google Patents

Abstract

This creation system provides a voice explanation house device with a recommendation function, which includes a lecture script set database, an object database, a group classification database, a calculation module, a drafting module, and a text-to-speech module. The drafting module obtains the object index code and the characteristics of the object to be drafted, as well as the lecture set index code and the variable lecture content, and outputs the corresponding lecture file, and the text-to-speech module uses the lecture file. The speech of each object is converted into the audio data corresponding to the object. Wherein, the variable speech content includes a list of recommended objects generated according to the received preference selection.

Description

Voice-guided house unit with recommendations

This creation is about a device for explaining the house, especially a device for explaining the house by voice with a recommendation function.

There are many aspects to consider when purchasing real estate, such as: price, location, public ratio, square footage, life function, object type, etc. Common real estate search methods use the above aspects as the conditions for customers to search, such as the total search price is less than one Tens of thousands of objects or objects in two rooms and one living room are searched. However, the results of the objects displayed after the search by the client are still very messy and disordered, and it still takes a lot of effort and energy to browse and filter each object one by one. Conventional search methods cannot adequately meet the needs of customers in purchasing considerations.

In addition, many customers are not only considering the conditions of the object itself when purchasing real estate, but whether the object in which the object is located meets their preferences or needs. That is to say, to find a good house, first The concept of finding good properties has gradually become a trend. However, the existing real estate search methods are still based on the conditions of the objects themselves, or they can only query to find out which objects are in a certain administrative area, and you must select each object one by one. Knowing the conditions of the property (such as the age of the house, total price band, etc.), it will take more time for the customer to find a satisfactory property, and the real estate agent cannot successfully provide the information of the property it sells to the customer through the system.

In addition, with the development of voice technology, the counting of voice recognition has also been introduced to the needs of real estate transactions one by one. Awareness rate has always been one of the most perplexing issues. If the frequently recognized results are always not what the user thinks, after a long time, the user will no longer use speech recognition to search.

In addition, even if voice search can successfully generate results, the existing technology still cannot display search results through voice playback. This is because real estate developers currently have a huge number of properties for sale, and it is impossible to pre-register each object one by one. Record the voice profile of the voice profile.

For this reason, the applicant, in view of the deficiencies of the prior art, invented the present creation "Voice Explaining Housing Device with Recommendation Function" to improve the above deficiencies.

Therefore, there is a need for a voice-guided house device with a recommendation function that can overcome the problems of the prior art. In order to achieve the above-mentioned purpose, the present creation system provides a voice-guided house device with a recommendation function, which includes a lecture-script panel database, an object database, a group classification database, a calculation module, a drafting module, and a text-to-speech module. . The drafting module obtains the object index code and the characteristics of the object to be drafted, as well as the lecture set index code and the variable lecture content, and outputs the corresponding lecture file, and the text-to-speech module uses the lecture file. The speech of each object is converted into the audio data corresponding to the object. Wherein, the variable speech content includes a list of recommended objects generated according to the received preference selection.

In this way, first use the template to grab the required data from the database, and then convert it into voice data through text-to-speech, which can save a lot of manual recording work of large-scale voice explanations, making the purely voice-operated real estate website into a real estate website. possible.

In order to reduce the error rate of speech recognition, the authoring system will convert the speech object condition into an object condition string according to the search situation and use the speech recognition phrase relative to the search situation, and then perform the search process. sequence.

The voice-guided housing device with recommendation function provided by this creation can fully meet the needs of customers in purchasing real estate, that is, the voice-guided housing device with recommendation function in this creation is searched in the retrieval method of object priority, and the user inputs After the demand for housing types such as objects, the system presents the result of the collection of objects. Users can first select the objects they are satisfied with, and then browse the objects for sale, because objects often reflect the quality of life of the objects in it. Therefore, through the search method of object priority, the real estate agent can effectively provide the information of the objects it sells to the customers through the system, thereby improving the chance of matching between the two parties.

10:Voice explanation house device with recommendation function

2: Lecture Set Database

4: Propose the module

6: Text-to-speech module

8: Broadcaster

12: Computing Module

105: Object Database

107: Ethnic taxonomy database

101: User side

105: Object Database

106: Multiple objects

110: Voice module

120:Search Module

130: Output module

106A: Objects

106B: Objects

A01, A02, A03, A04: Object Features

S01, S02: Saleable items

20: System search page

205:Search Type Options

206:Search Type Options

210:Search Criteria

211:Search criteria

215:Search button

220: Map Block

221: Mark

222:Mark

230:Search results block

231: Project

232: Project

30: Execution process

S301, S302, S303, S304, S305, S306, S307, S308: Steps

Fig. 1 is a schematic diagram showing a voice-guided house device with a recommendation function of this creation;

Fig. 2 is a schematic diagram showing a voice-guided house device with a recommendation function of the present invention;

Figure 3 is a schematic diagram showing the object database of this creation;

Figure 4 is a schematic diagram showing the system search page of this creation;

Figure 5 is a schematic diagram showing the system search page of this creation;

Figure 6 is a schematic diagram showing the system search page of this creation; and

Figure 7 is a schematic diagram showing the group classification of this creation; and

The present creation will be fully understood from the description of the following embodiments, so that those skilled in the art can complete it accordingly. However, the present creation can also be widely implemented in other embodiments. That is to say, the implementation of this creation is not limited by the following examples and its implementation mode, but should be subject to the scope of the patent application proposed in this creation.

Please refer to Figure 1, which shows the voice-guided house with recommendation function of this creation Schematic of the device. In FIG. 1 , the voice-guided housing device 10 with a recommendation function includes an object database 105 , a group classification database 107 , a lecture set database 2 , a drafting module 4 , a text-to-speech module 6 , and a calculation module 12 . The object database 105 stores a plurality of objects, and corresponds to each object with an object index code, and the object includes at least object characteristics. For example, the feature of the object can be the location information of the object, the number of houses, the age of the house, the state of public facilities, the number of households in the community to which the object belongs, life functions, the number of squares of the house, the orientation of the house, and the number of floors of the house. Preferably, the object database 105 can store data of one or more objects. Preferably, the object may have one or more object characteristics. Preferably, the saleable objects possessed by the object can be zero or an integer greater than zero. The ethnic group classification database 107 is configured to store a plurality of life functions, wherein each life function is corresponding to a life function index code, the life function includes at least a life function feature, and the life function feature at least includes life function location information. Life functions can be roughly divided into shopping, educational units, catering services, cultural undertakings and transportation facilities, medical institutions, parks and green spaces and other life function categories.

To put it simply, the drafting module 4 outputs the corresponding speech file and uses the text-to-speech module 6 to convert each object speech in the speech file into audio data corresponding to the object, and the audio data can be played by the broadcasting device 8 , and let the user hear the content of the voice data, so that the search result can be played relatively after the user completes the voice search, so as to realize the pure voice operation of the real estate website, or in the interactive operation during the VR house inspection, the user clicks Select some hot spots in the VR viewing content (for example, it is designated on the window, and the voice playback content may be to explain the scenery outside the window). Among them, the lecture file contains at least one object lecture, each object lecture is composed of the immutable lecture content and the variable lecture content, and the variable lecture content in the lecture file is composed of the object feature .

The unchangeable lecture content comes from a plurality of lecture set data stored in the lecture set database 2. Each lecture set data has a lecture set index code and the unchangeable lecture content to which the lecture set index code belongs. For example, according to your XXX preferences, we will recommend XXX (it can be the item number or the code name of the item) and other items for you; the number of community houses is XX, the age of the house is XX years, and the public status is XX , except for XX which is a variable lecture content, the rest are unchangeable lecture content. Lecture board materials can have various forms, such as the number of houses in the community is XX or the community is divided into XX districts and there are XX buildings in total. The selection of the lecture set can be specified by the system or selected by the user through a voice interactive operation.

The variable speech content includes a list of recommended objects generated according to the received preferences. In order to simplify the analysis difficulty, this preference is selected as several pre-defined ethnic groups, as shown in Figure 7. After receiving the specific group classification to be searched, the computing module 12 will find out the information of plural objects whose conditions are mutually matched according to the content defined by the single object attribute or the multiple object attributes in the group attribute of the group classification, Then, a list of recommended objects including information of a specific number of plural objects is generated. For example, the content of the object speech: According to the XXX preferences you have selected, we will recommend objects such as XXX (which can be the object number or the object name, etc.) and other objects, where XXX is the list of recommended objects.

The content of the variable speech can also list nearby living functions centered on the selected object. Further, the calculation module 12 calculates distance data based on the object position information of the object and the living function position information of at least one living function. For example, the object speech is that there are A1 MRT stations nearby, the MRT station is the nearest MRT station is A4, the distance is about A5KM, and it takes about X minutes to walk. The nearest high-speed rail is A6, which is about A7KM. X minutes, there are A8 bus stops nearby, the nearest is A9, about A10, about X minutes walk. Among them, A1=number of MRT stations, A4=MRT station exit, A5=distance from MRT station exit, A6=high-speed rail, A7=distance of high-speed rail, A8=number of bus stops, A9=bus, A10=distance of bus stop Both are variable contents, and the variable contents of the distance are calculated by the calculation module 12 .

After the user completes the search operation, the user wants to listen to the search result (including at least one item of the object index code), and the preparation module 4 obtains the object index code and the object characteristics to be prepared, as well as the index code of the lecture set And the variable speech content, and output the corresponding speech file, the text-to-speech module 6 converts each object speech in the speech file into the audio data corresponding to the object. The voice data can be played by the broadcasting device 8 so that the user can hear the content of the voice data. The following continues to describe how users perform voice search.

Please refer to Figure 2, which shows that this creation has the recommended function A schematic diagram of the house installation is explained by voice. In FIG. 2, the voice-guided housing device 10 with a recommendation function includes an object database 105, a voice module 110, a search module 120 and an output module 130, wherein the object database 105 stores a plurality of objects 106, and a plurality of Object 106 has at least one object characteristic (detailed in Figure 2). The voice-guided housing device 10 with a recommendation function has a user terminal 101, and the voice module 110 receives the first voice object condition related to the object feature sent by the user terminal 101, and uses the voice corresponding to the search context according to the search context. Recognizing a phrase, and converting the first voice object condition into a first object condition string. Among them, the search situation includes different situations such as renting, buying, selling, etc. In different search situations, there will be relative speech recognition phrases for recognition, and the generated first object condition string is roughly Belonging to the speech recognition phrase, reducing erroneous speech recognition.

The drafting module 4 outputs the corresponding speech file according to the object index code of the plurality of objects in the search result and the speech script set index code, and the text-to-speech module 6 outputs each item in the speech file The object speech is converted into the audio data corresponding to the object. Going a step further, voice search can also be incorporated into the learning function.

For example, in the search context of buying a house and selling a house, with the same first voice object condition, such as Shuanglian, the search context for buying a house is more likely to find objects around the Shuanglian MRT station, so the first object condition is The character string is more likely to be Shuanglian MRT station, and in the search situation for houses for sale, it is more likely to find objects around Shuanglian Street, so the first object condition string is more likely to be Shuanglian Street, not Shuanglian Jie transport station.

After receiving the first object condition string sent by the user terminal 101, the voice module 110 sends the received object condition string to the search module 120, and then the search module 120 compares the object condition string with the object database Object characteristics in 105, find objects that match each other within predetermined conditions and send the matching objects to the output module 130, and then the output module 130 sends the search result back to the client 101 . Preferably, the search module 120 finds objects matching each other within the predetermined conditions and generates a search result including a specific number of objects, where the specific number may be zero or an integer greater than zero.

Please refer to Figure 3, which shows a schematic diagram of the object database of this creation. In FIG. 3, the object database 105 stores the object 106A, for example, a suitable house and the object 106B, for example, a mansion. For example, the object can be a military village, a renovated house, a national house, a residential complex, a suitable house, a social house, or an apartment, a mansion, a residential building, a suite, a sky house or other residences within a specific area. type. The object 106A has the object feature A01, for example, the age of the house is 15 years, the object feature A02, for example, the number of households in the community the object belongs to 20, the object feature A03, for example, the life function is a store, and the object feature A04, for example, there is a public swimming pool, and the object 106A also has There are saleable objects S01 and saleable objects S02. Object 106B has object feature A01 such as the house age of 15 years, object feature A02 such as the number of households in the community the object belongs to 15, and object feature A03 such as the life function is the market, wherein object 106B has zero saleable objects.

The correspondence between the object 106A and the saleable object S01 and the saleable object S02 needs to be completed through some means, because there is no public data for these correspondences to be queried. Specifically, according to the township and urban area, the location of the land section or the house address of the building area, the total land transfer area in square meters, the urban land use division, the transaction year and month, the number of transactions, the transfer level, and the total number of floors. , building type, main purpose, main building materials, construction completion year and month, the total area of the building in square meters, the current structure of the building, whether there is a management organization, the total price yuan, the unit price per square meter or the name of the object and other information, you can choose All of them, or several selected from them, to construct the object features of a plurality of objects, and then disassemble the transaction data into a plurality of fields based on this for search and comparison purposes. Next, according to the housing conditions of the saleable object S01 and the saleable object S02, it means the location in this housing condition The address, the total number of floors, and the construction completion year and month are compared with the object characteristics of many objects in the object database, so as to search and obtain at least one specific object information corresponding to the housing conditions of the saleable object S01 and the saleable object S0, The establishment of the relationship between the object 106A and the saleable object S01 and the saleable object S02 is completed.

Please continue to refer to FIG. 2 and FIG. 3, the search module 120 compares the received object condition string with the object characteristics of the plurality of objects 106 in the object database 105, and finds the objects that match each other within the predetermined conditions, For example, if the object condition string is 15 years old, the search module 120 compares the object features in the object database 105 and finds that the object feature A01 of the object 106A and the object 106B is the building age of 15 years, so the comparison condition is met. The objects are the object 106A and the object 106B, and then the search module 120 sends the object 106A and the object 106B to the output module 130 to generate search results.

In this creation, the search module 120 will perform comparison within predetermined conditions, and the predetermined conditions include (1) the object condition string is a numerical value, the characteristics of the housing group are the same as the object condition string, and the search result shows the completely matched object; (2) The object condition string is a numerical value. If the characteristics of the housing group are different from the object condition string, the difference range is the range of the object condition string plus or minus the predetermined value, and the search results show some matching objects; (3) The object condition string is If the character string of the housing group is the same as the object condition string, the search result will show the object that fully matches; and (4) if the object condition string is a text, and the character string of the house group is different from the object condition string, the search result will display the character string of the house group and the object. Partially matching objects with similar condition strings. For example, if the object condition string is that the number of households in the community to which the object belongs is 20, the search module 120 will compare the object features in the object database 105 with the retrieval range of 20 plus or minus 5 to 25, and then find the dwellings The group characteristic is the object 106A with the number of 20 households in the community to which the object belongs, and the object 106B with the residential group characteristic of the 15 households in the community to which the object belongs. If the object condition string is that the life function is the market, search In addition to finding the object 106B with the characteristics of the residential group having a market, the search module 120 will also find the object 106A with the characteristics of the residential group with a sales market with similar characteristics. Among them, markets, stores, etc. belong to similar conditions, and need to complete the induction and build an object database in advance.

Please refer to Figure 4, which shows a schematic diagram of the system search page of this creation. In FIG. 4 , the system search page 20 includes search type options 205 - 206 , search conditions 210 - 211 and a search button 215 . After the user selects the type option and inputs the search condition, the user clicks the search button 215 to send the object condition string to the voice module of the system of the present creation. Preferably, the search type option 205 and the search condition 210 are required input data, the search type option 206 and the search condition 211 are optional input data, if the user wants to input multiple search data, he can click on the system search page 20 "+" to generate new search type options and search criteria fields.

Please refer to Figure 5, which shows a schematic diagram of the system search page of this creation. In Fig. 5, the system search page 20 further includes a map block 220 and a search result block 230, wherein the map block 220 displays the position of the object in the search result on the map, for example, the object 106A is indicated by the mark 221 and the object 106B It is indicated by the mark 222, and the search result block 230 displays the name of the object of the search result, eg, the object 106A is indicated by the item 231 and the object 106B is indicated by the item 232. For example, after the user sends the object condition string, for example, the house is 15 years old to the voice module of the system of this creation, after the search module compares the object database, the output module will have the characteristics of the house group A01 such as The object 106A is a 15-year-old house, such as a suitable house, and the object 106B, such as a mansion, is sent back to the system search page 20, where the search module will confirm whether the matching object is available for sale after finding the matching object. Object, if the matching object does not have a saleable object, it will be listed as a non-compliant object and removed from the comparison results, that is, the search results do not show matching conditions but no Any object with saleable object data, in this example, object 106A has saleable object S01 and saleable object S02, and object 106B has saleable object S01, so they are all objects that have saleable objects and meet the comparison conditions. In addition, The search module will also sort the objects in the search results from the most to the least according to the number of saleable object data in the objects that meet the comparison conditions. For example, object 106A has more saleable objects than object 106B, so object 106A is ranked higher In the object 106B, the user can thus know which objects meet the search criteria and have saleable objects, and can preferentially select objects with more saleable objects.

Please refer to Figure 6, which shows a schematic diagram of the system search page of this creation. Fig. 6 is a continuation of Fig. 5. The user obtains the preliminary search result and then performs operations related to a second voice object condition of the at least one object feature, and the voice module 110 uses the relative search condition according to the search context. The speech recognition phrase of the context converts the second voice object condition into a second object condition string, and then uses the second object condition string to search again in the preliminary search results, where the data of the preliminary search results have been stored in the The user side, so the re-search will only read the cache of the user side, and will not re-access the object database, so as to reduce the burden of the object database.

More specifically, the search module compares the second object condition string with at least one object feature of the objects that meet the comparison conditions in the preliminary search result, and finds out that the characteristics of at least one residential group and the second object condition string are in the predetermined range. Objects that match each other within the conditions, and generate a search result that includes the objects that meet the comparison conditions. If the search module compares the second object condition string with at least one object feature of the objects that meet the comparison conditions in the search results Find out the objects whose characteristics of at least one residential group and the second object condition string match each other within the predetermined condition, then the search module removes the unmatched objects from the search result and presents the matching objects in the re-search result . For example, the user sends the second object condition string such as swimming pool, and In the preliminary search results, only the object 106A has the characteristics of a residential group A04, such as a public swimming pool, so the system search page 20 removes the object 106B from the map block 220 and the search result block 230 according to the second object condition string, leaving only The matching object 106A is the re-search result. Preferably, if the search module does not find that at least one object feature and the second object condition string match each other within the predetermined condition after comparing the second object condition string with the object features in the preliminary search result that meet the comparison conditions , the re-search results are the same as the initial search results.

As shown in FIG. 7, the ethnic group classification database 100 stores plural ethnic group classification data, and each ethnic group classification data has an ethnic group index code, and the group; a plurality of ethnic group attributes to which the index code belongs, and each ethnic group attribute is mainly based on Defined by a single object property or by multiple object properties. For example, the ethnic group attribute is three generations living in the same house, and the relative object attribute is a larger room (more than 3 rooms and more than 30 pings), and the rest of the corresponding relationships are shown in the figure.

To put it simply, the calculation module 12 receives the specific group classification to be searched, and according to the content defined by a single object attribute or a plurality of object attributes in the group attribute of the group classification, finds a plurality of real estates that meet the conditions. information to generate a list of recommended objects containing a specified number of real estate information. For example, if the received ethnic group is classified as three generations living in the same house, the calculation module 12 searches the object database 101 according to the object attributes of 3 houses or more and 30 pings or more. In this way, the user only needs to simply select a specific group, and the system can search for relative objects for selection.

The present invention discloses the above-mentioned preferred embodiments and examples as reference, and readers should understand that these examples are used for description rather than limitation. Those skilled in the art can make various combinations and modifications without departing from the spirit and scope of the present invention, which should still fall within the scope of the patent of the present invention.

10:Voice explanation house device with recommendation function

2: Lecture Set Database

4: Propose the module

6: Text-to-speech module

8: Broadcaster

12: Computing Module

105: Object Database

107: Ethnic taxonomy database

Claims (10)

A voice-guided house device with a recommendation function, comprising: an object database configured to store a plurality of objects, wherein an object index code corresponds to each object, the object includes at least one object feature, and the object feature includes at least one object location information; a lecture set database, storing plural lecture set data, each lecture set data has a lecture set index code, and an immutable lecture content to which the lecture set index code belongs; A preparation module, which is coupled to the lecture kit database and the object database, obtains the object index code and the object feature to be formulated, the lecture kit index code and the variable lecture content, and outputs a relative A lecture file of the lecture file, wherein the lecture file contains at least one object lecture, each object lecture is composed of the immutable lecture content and a variable lecture content, and the variable lecture content in the lecture file is composed of the object features; An ethnic group classification database, storing plural group classification data, each group classification data has a group index code, and a plurality of group attributes to which the group index code belongs, each group attribute is mainly a single object attribute or multiple group attributes Defined by object properties; A computing module, coupled with the proposed module, the object database, and the group classification database, receives a specific group classification to be searched, and selects a single object attribute or a plurality of group attributes according to the group classification According to the content defined by the object attribute, find out the plural object information that meet the conditions, and generate a recommended object list including a specific number of plural object information, and the recommended object list can be the content of the variable speech; and A text-to-speech module, coupled with the proposed module, speaks each object in the speech file The script is converted into a voice data corresponding to the object; Wherein, the voice data can be played by a broadcasting device, so that the user can hear the content of the voice data. The voice-guided house device with recommendation function as described in item 1 of the scope of the application, wherein the voice-guided house device with recommendation function further comprises: a voice module configured to receive a first voice object condition related to the object feature, and convert the first voice object condition into a first voice object condition according to a search context using a voice recognition phrase relative to the search context an object condition string; and A search module, coupled to the voice module and the object database, is configured to compare the first object condition string with the at least one object feature to find the at least one object feature and the first object condition the plurality of objects that match each other within a predetermined condition in a string to generate a search result including a specified number of the plurality of objects; Wherein, the drafting module outputs the relative speech file according to the object index code of the plurality of objects in the search result and the speech script set index code, and the text-to-speech module outputs each item in the speech file The object speech is converted into the audio data corresponding to the object. The voice-guided house device with a recommendation function as described in claim 2, wherein the mutual compliance within the predetermined condition means that the first object condition string falls within a difference range of the characteristics of the at least one residential group Inside. The voice-guided house device with a recommendation function as described in item 3 of the scope of the application, wherein the mutual compliance within the predetermined condition includes: (1) the first object condition string is a numerical value, the at least one residential group characteristic It is the same as the first object condition string, and the search result shows completely matched objects; (2) the first object condition string is a numerical value, and the at least one residential group characteristic is related to the If the first object condition string is different, the difference range is the range of the first object condition string plus or minus a predetermined value, and the search result displays some matching objects; (3) the first object condition string is text, the At least one property group characteristic is the same as the first object condition string, and the search result shows an object that completely matches; and (4) the first object condition string is text, and the at least one property group characteristic is the same as the first object condition If the character strings are different, the search result displays objects that partially match the characteristics of the at least one residential group and are similar to the first object condition string. The voice-guided house device with a recommendation function as described in claim 4, wherein the voice module is configured to receive a second voice object condition related to the at least one object feature, and according to the search context, use Converting the second voice object condition into a second object condition string with respect to the speech recognition phrase of the search context. The voice-guided house device with recommendation function as described in claim 5, wherein the search module is configured to compare the second object condition string with the plurality of objects in the search result that meet the comparison condition of the at least one object feature, find the plurality of objects that the at least one residential group feature and the second object condition string match each other within the predetermined condition, and generate a set of objects including the plurality of objects that meet the comparison condition Search results repeatedly, wherein if the search module finds the at least one residential group characteristic after comparing the second object condition string with the at least one object characteristic of the plurality of objects in the search result that meet the comparison conditions For the objects that match the second object condition string within the predetermined condition, the search module removes the unmatched objects from the search result and presents the matched objects in the re-search result. The voice-guided house device with a recommendation function as described in claim 6, wherein the matching of the second object condition string is obtained by reading the matching first object condition string from cache data generated data without re-accessing the data in the object database. The voice-guided housing device with a recommendation function as described in claim 6, wherein the object database is further configured to store a saleable object data of each of the objects, and the search module is configured to compare and match For the plurality of objects of the condition and the data of the saleable objects they have, and according to the quantity of the data of the saleable objects in the plurality of objects that meet the comparison condition, sort the search result and the re-search by least the plurality of objects in the result. According to the voice-guided housing device with recommendation function as described in item 6 of the scope of the application, if the plurality of objects that meet the comparison conditions do not have any information on the saleable object, the search result and the re-search result are not displayed The plurality of objects that meet the comparison conditions. As described in item 5 of the scope of the patent application, the voice-guided housing device with recommendation function, wherein the at least one feature of the object is selected from a number of houses, an age of a house, a public status, the number of households in a community to which an object belongs, and a life A group consisting of functions, the number of squares of a house, the orientation of a house, the number of floors of a house, and their combinations.

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