TW202101335A - Recommendation device and method based on activity behaviors including a facility database, a client behavior database, a data collection module, a processing module, and a transmission module - Google Patents

Abstract

A recommendation device based on activity behaviors includes a facility database, a client behavior database, a data collection module, a processing module, and a transmission module. The facility database includes a plurality of living facility data representing a plurality of living facilities, and the plurality of living facilities are respectively provided with a service item. The processing module calculates a recommended article list with respect to a customer code based on the service items of the plurality of living facilities in a first interactive message transmitted by the customer code, and through the transmission module it is transmitted to a client end device.

Description

Recommendation device based on activity behavior

This disclosure relates to a display processing device, and particularly to a recommendation device based on activity behavior.

According to a survey of home purchase intentions, people care about the convenience of their homes. The demand for living facilities that people who want to buy a house will consider include: proximity to consumer shopping districts, proximity to parks and green spaces, proximity to MRT/high-speed rail/station, etc. House objects with good living facilities can increase the convenience of the residents.

Nowadays, the Internet is popular, so people are accustomed to searching for information on the Internet. For the supply of real estate items, some providers of real estate items will present the photos, layout and housing information of the items on the website. Some real estate providers will use the map to show the surrounding school districts, hospitals and other living facilities.

Some real estate electronic devices integrate and display real estate objects/service information and/or living facility information and/or geographic image information. The living facility information includes text and/or pictures and/or signs and/or multimedia files. Home buyers hope to get more specific information about living facilities.

However, in many cases, users can only search a wide range of objects with a certain number of objects, and then check whether they meet the requirements It’s also included in the favorites, but the efficiency of finding objects in this way is still too low. It will take a lot of time and energy to find objects of the same nature (for example, they are both in Taipei City, and they are near hospitals and parks. Etc. conditions).

In order to solve the problem that there are too many objects to choose from, an object of the present invention is to provide a recommendation device and method based on activity behavior. A recommendation device based on activity behavior includes a facility database, a customer behavior database, a data collection module, a processing module, and a transmission module. The processing module calculates a list of recommended objects relative to the customer code based on the service items of the plurality of living facilities in the first interactive message sent by the customer code, and transmits it to the client device through the transmission module.

10‧‧‧Life facility system

111, 112, 113, 114‧‧‧Living facilities

111A, 112A, 113A, 114A‧‧‧Actual distance

111P, 112P, 113P, 114P‧‧‧Service items

121‧‧‧Extra living facilities

121A‧‧‧Actual distance

121P‧‧‧Additional service items

131‧‧‧Recommended living facilities

131A‧‧‧Actual distance

131P‧‧‧Recommended service items

15‧‧‧Customer code

15P‧‧‧Customer's frequent location

20‧‧‧Display system

21‧‧‧Data Processing Device

211‧‧‧Facilities Database

212‧‧‧Processing Module

2121‧‧‧Search component

2122‧‧‧Map Generator Component

2123‧‧‧Recommended components

213‧‧‧Data Collection Module

22‧‧‧Client Device

221‧‧‧display screen

26‧‧‧Database Group

28‧‧‧Recommendation device based on activity behavior

31‧‧‧Transport Module

91‧‧‧User

D111, D112, D113, D114‧‧‧Life facility information

D111A, D112A, D113A, D114A‧‧‧Scope of activity data unit

D111A1, D112A1, D113A1, D114A1‧‧‧Attribute words

D111A2, D112A2, D113A2, D114A2‧‧‧Quantity string

D111A3, D112A3, D113A3, D114A3‧‧‧Interactive content terms

D111H, D112H, D113H, D114H‧‧‧Facility type indicator

D111P, D112P, D113P, D114P‧‧‧location information

D121‧‧‧Additional living facilities information

D121A‧‧‧Additional activity scope data unit

D121A1‧‧‧Extra attribute words

D121A2‧‧‧Extra Quantity String

D121A3‧‧‧Additional interactive content words

D121H‧‧‧ Additional living facility category indicator

D121P‧‧‧Additional location information

D131‧‧‧Recommended Living Facilities Information

D131A‧‧‧Actual distance data unit

D131A1‧‧‧Recommended attribute words

D131A2‧‧‧Recommended quantity string

D131A3‧‧‧Recommended interactive content words

D131H‧‧‧Recommended facility category indicator

D131P‧‧‧Recommended location information

D15‧‧‧Real Estate Information Unit

D15H‧‧‧Real estate category indicator

D15P‧‧‧Real estate location information

D1A‧‧‧Activity Scope Data Unit

D5‧‧‧Geographic Information

D51‧‧‧Icon data

D52‧‧‧Map data block

D53‧‧‧Second map data block

D54‧‧‧The third map data block

D55‧‧‧Fourth map data block

D61‧‧‧Living facility attribute image data block

D62‧‧‧Living facility attribute image data block

DA1‧‧‧First Living Facilities Information

DHA1, DHA2‧‧‧Life facility category indicator

DL1‧‧‧Activity range value

EA1, EA2, EA3, EA4‧‧‧Candidate category projects of living facilities

EL1, EL2, EL3, EL4‧‧‧Candidate distance items

H111, H112, H113, H114‧‧‧Facilities

HA1, HA2‧‧‧Life facility category

HB1‧‧‧Extra Living Facilities Category

HC1‧‧‧Recommended living facilities category

HD1‧‧‧Real Estate Type

K111, K112, K113, K114‧‧‧ icon

K121‧‧‧Icon

KA2‧‧‧The second icon

KA3‧‧‧The third icon

KB3‧‧‧The third icon

KA4‧‧‧Fourth symbol

L1‧‧‧Activity radius

M1‧‧‧Map

M111P, M112P, M113P, M114P‧‧‧Marking position

M121P‧‧‧Additional marking position

M131P‧‧‧Recommended marking position

M15P‧‧‧Real estate marked location

M2‧‧‧Second Map

M3‧‧‧The third map

M4‧‧‧ Fourth Map

M5‧‧‧Fifth Map

MA1‧‧‧First marking position

MA2‧‧‧The second marking position

MA3‧‧‧The third marking position

MA4‧‧‧The fourth marking position

MA5‧‧‧Fifth marking position

MR1‧‧‧Specific map area

Q1‧‧‧Optional icon

R1‧‧‧Scope of activity

S11‧‧‧First Interactive Message

S12‧‧‧Second Interactive Message

S13‧‧‧The third interactive message

S14‧‧‧The fourth interactive message

U1‧‧‧Screen

This disclosure can be further understood through the detailed description of the following figures: Figure 1: A schematic diagram of a display system in various embodiments of this disclosure.

Figure 2: A schematic diagram of a living facility system in various embodiments of the present disclosure.

Figure 3: The structure diagram of a facility database in Figure 1.

Figure 4: A schematic diagram of a map in various embodiments of the present disclosure.

Fig. 5 shows a classification diagram of a specific embodiment of the recommendation device according to the facility category according to the present invention.

Please refer to Figure 1, Figure 2 and Figure 3. FIG. 1 is a schematic diagram of a display system 20 in various embodiments of the present disclosure. FIG. 2 is a schematic diagram of a living facility system 10 in various embodiments of the present disclosure. Figure 3 is a schematic diagram of the structure of a facility database in a database group 26 in Figure 1. As shown in FIG. 1, the display system 20 includes a data processing device 21 and a client device 22 coupled to the data processing device 21. The data processing device 21 includes a facility database 211, a processing module 212 coupled to the data unit 211, and a data collection module 213 coupled to the processing module 212. The facility database 211 includes the database group 26, and the database group 26 is further divided into a facility database and a customer behavior database. The client device 22 includes a display screen 221. For example, there is a transmission module 31 between the data collection module 213 and the client device 22, and the transmission module 31 is coupled therebetween.

As shown in Fig. 2, the living facility system 10 includes a plurality of living facilities 111, 112, 113, and 114. For example, the living facility system 10 may further include at least one additional living facility 121, a recommended living facility 131, and a customer code 15. There are a plurality of interactive relationships 111A, 112A, 113A, and 114A between the customer code 15 and the plurality of living facilities 111, 112, 113, and 114, respectively. The plurality of living facilities 111, 112, 113, and 114 respectively have a plurality of service items 111P, 112P, 113P, and 114P. The additional living facility 121 has an additional activity area 121A and an additional service item 121P. The recommended living facility 131 has an actual distance 131A and a recommended service item 131P. The customer code 15 has a location 15P where a real estate customer is often located. The processing module 212 calculates that the An actual distance between the plurality of living facilities within the first request message and the location where the customer is often located.

The plurality of living facilities 111, 112, 113, and 114 belong to a plurality of facility categories H111, H112, H113, and H114, respectively. Each of the plurality of facility categories H111, H112, H113, and H114 is a plurality of living facility categories HA1 and One of HA2. The additional living facility 121 belongs to an additional living facility category HB1, and the additional living facility category HB1 is different from any one of the plurality of living facility categories HA1 and HA2. The recommended living facility 121 belongs to a recommended living facility category HC1. The customer code 15 belongs to a real estate category HD1.

For example, the plurality of living facility categories HA1 and HA2 are respectively a hospital category and a store category, and the additional living facility category HB1 is a restaurant category. For example, two living facilities 112 and 113 belong to the hospital category and the store category respectively, so the actual distance 112A of the living facility 112 and the actual distance 113A to the living facility 113 are 10 meters and 100 meters, respectively.

In Figure 1, the data collection module 213 receives a first interactive message S11 or a second interactive message S12 from a user 91. The first request message S11 includes the customer code and multiple service requirements of the customer code, and the service requirements are mainly issued for the living facilities 111, 112, 113, and 114. The service requirements are mainly for the living facilities. Is issued to obtain the service items provided by the living facilities 111, 112, 113, and 114, and the second request message indicates the customer code and a second geographic location of the customer code.

For example, in order for the user 91 to order a meal, he will at least mention the relative living facilities and the service item (ie the desired meal) in the first interactive message S11 sent by him, The location of the customer. Among them, in the customer behavior database, the location of the customer mentioned in the first interactive message S11 of the relative customer code is defined as the customer's frequent location.

The processing module 212 calculates a list of recommended objects relative to the customer code based on the service items of the plurality of living facilities in the first interactive message sent by the customer code. More specifically, the processing module calculates the list of recommended objects according to the comparison table of facility categories and corresponding topics as shown in Figure 5.

In order to achieve this goal, the system needs to create an object database first, and each object data in the object database has an object index code and a plurality of object attributes to which the object index code belongs. Among them, the properties of the object include the abbreviation, price, community name, address, floor, building registration area, land registration area, unit price per unit area, type, layout, age, parking space, seat orientation, elevator , Management fees, layout, life functions. Each of the plurality of object attributes has a priority. The higher the priority, the higher the priority is to compare the high overlap, which affects the objects presented in the recommended object list.

The facility category database 211 stores multiple facility category data, each facility category data has a facility index code and the facility; the index code belongs to multiple facility attributes, and each facility attribute is mainly a single object attribute or multiple Defined by object properties. For example, the facility is The sex is three generations in the same house, the relative object attribute is to change the big room (more than 3 rooms and more than 30 pings), and the other corresponding relationships are shown in Figure 5.

The processing module 212 will use a weight calculation formula to obtain the service items of the plurality of living facilities in the first interactive message sent by the customer code to obtain the main impact on living facilities and their relative facility categories, and then based The facility attribute of the facility category is defined by a single object attribute or multiple object attributes to find out the multiple real estate information that meets the conditions, and generate a recommended object list containing a specific number of multiple real estate information. For example, if the main affected facility category is three generations in the same house (for example, a facility suitable for three generations to go together, such as an IKEA furniture store), the processing module 212 uses the object attribute of 3 rooms or more and 30 pings or more in the object database 101 search. In this way, the user only needs to simply select a specific facility, and the system can search for relative objects for selection.

In order to collect more information about the activities of the user 91, the system can also place a special device in a specific physical location, and it can discover the existence of the device used by the user 91, for example, it records once it detects a mobile phone WIFI signal In other words, the user 91 may also send the second interactive message S12 in a passive state. The second request message S12 indicates the customer code and a second geographic location of the customer code (that is, the location of the aforementioned special device).

In some embodiments, the living facility system 10 further includes an activity range R1. The activity range R1 is centered on the customer code 15 and has an activity range radius L1 calculated from the customer code 15 as the center. The activity range radius L1 indicates the activity range related to the customer code 15 Surround R1.

In addition, the actual distance L between the customer code 15 and the plurality of living facilities 111, 112, 113, and 114 can also be represented by the total walking distance based on the distance information of streets and lanes.

As shown in Figures 1 and 3, the facility database in the database group 26 includes geographic information D5, and multiple living facility data D111, D112 representing the multiple living facilities 111, 112, 113, and 114, respectively , D113 and D114, may further include at least one additional living facility data D121 representing the at least one additional living facility 121, may further include a recommended living facility data D131 representing the recommended living facility 131, and may further include a customer code representing the customer code A real estate information unit D15 of 15.

In Figure 3, the plurality of living facility data D111, D112, D113, and D114 respectively include the first plurality of location information D111P, D112P, D113P, and D114P representing the service items 111P, 112P, 113P, and 114P, respectively indicating the A plurality of facility type indicators D111H, D112H, D113H, and D114H of a plurality of facility types H111, H112, H113, and H114, and a plurality of activity range data units D111A, D111A, D111A, D111A, D111A, 112A, 113A and 114A respectively D112A, D113A and D114A.

The additional living facility data D121 includes an additional location information D121P representing the additional service item 121P, an additional living facility category indicator D121H indicating the additional living facility category HB1, and an additional activity scope data representing the additional activity scope 121A Unit D121A. The recommended living facility information D131 contains 131P representing the recommended service item A recommended location information D131P, a recommended facility category indicator D131H indicating the recommended living facility category HC1, and an actual distance data unit D131A indicating the actual distance 131A. The real estate data unit D15 includes a real estate location information D15P representing the frequently located location 15P of the real estate customer, and a real estate category indicator D15H indicating the real estate category HD1.

As shown in Figures 2 and 3, the plurality of interaction relationships 111A, 112A, 113A, and 114A in Figure 2 are represented by a plurality of attribute words D111A1, D112A1, D113A1, and D114A1, respectively, and are respectively formed and The plurality of interactive relationships 111A, 112A, 113A, and 114A respectively correspond to a plurality of numbers, and a plurality of interactive contents corresponding to the plurality of interactive relationships 111A, 112A, 113A, and 114A, respectively.

The customer behavior database in the database group 26, the customer behavior database is used to store a plurality of customer behavior data, each customer behavior data mainly includes the customer code, the customer's frequent location, and the first request message S11 or the second request message S12, wherein the first request message S11 includes the customer code and a plurality of service requirements of the customer code, and the service requirements are mainly sent for the living facility, and the second request message S12 indicates the customer code and the customer code. A second geographic location of the customer code.

The data collection module 213 receives the first interactive message S11 and the second interactive message S12 at different times, and sends the second map data block D53 and the third map data block D54 to the client at different times The device 22 transmits so that the client device 22 is in the The second map M2 and the third map M3 are displayed on the display screen 221. For example, the data collection module 213 is coupled to the client device 22 via the transmission module 31.

In some embodiments, the user 91 has sent order records (ie, the first request message) for the living facilities 111 and 114, and the user 91 has passed by special devices near the living facilities 112 and 113, and can find the user The presence of the device used by 91 (ie, the second request message), and through the above-mentioned geographic locations, can enclose the activity range R1 on the map. In other words, if in the future when the user 91 makes a purchase request, the object of his interest falls within the activity range R1, the system will mark the user 91 as a local visitor. However, the system can flexibly expand the range covered by the activity range R1 to make the judgment of the local customers more accurate, because it may happen that the behavior track information left by the user 91 in the system is not enough, resulting in the system Misjudgment. In contrast, if an object of interest of the user 91 falls within the activity range R1, the system will mark the user 91 as a non-local visitor.

However, sometimes the user 91 only occasionally runs to an area where he is not often active. For this, the processing module 212 first removes the multiple living facilities in the first request message S11 sent by the customer code Only when the service item or the second geographic location in the second request message S12 exceeds a predetermined deviation value, the relative activity range of the customer code is calculated. In contrast, if the amount of data is too small, the system may misjudgment and a threshold value needs to be set. Therefore, the processing module 212 first confirms the plurality of life settings in the first request message S11 sent by the customer code. The service item implemented or the second geographic location in the second request message S12 exceeds a predetermined number before the relative activity range of the customer code is calculated.

In addition, the processing module 212 can display the relevant information of the living facilities that the user 91 has interacted with on the electronic map, and send the activity range and the second map to the client through the transmission module 31端装置22。 End device 22. Specifically, the processing module 212 will also filter out the plurality of living facilities that fall within the first request message sent, and then generate the second map data block representing a second map, where the first The second map is a map in which a plurality of icons are respectively displayed at the plurality of marking positions on the map, and the plurality of icons respectively indicate the plurality of living facilities.

Please refer to Figure 4, the second interactive message S12 indicates that a second icon KA2 (such as the icon K112) selected among the plurality of icons K111, K112, K113, and K114, and the second icon KA2 is located in the A first marked location MA1 (such as marked location M112P) in the second map M2, and corresponds to a first living facility data DA1 (such as living facility data) among the plurality of living facility data D111, D112, D113, and D114 D112), and the second map M2 has a second marked position MA2 corresponding to the first marked position MA1.

The system can selectively display related information between the user 91 and the living facilities based on the user's selection. Please refer to FIG. 1, FIG. 3, and FIG. 4. The client device 22 is operated by the user 91 to generate interactive operations at a first time and at a second time after the first time. The interactive operation is transmitted to the data processing device 21 at different times. For example, the data processing device 21 can calculate the number of living equipment The actual distance between the application and the location where the customer is often located. By receiving a user input from the user 91, when the second icon KA2 displayed on the display screen 221 is selected, the actual distance in the first living facility data DA1 is displayed on the first The second symbol is near KA2.

Most of the modifications and other embodiments of the present disclosure presented here will be understood by those familiar with the art to have the benefits of the teaching presented in the above description and related drawings. Therefore, we should understand that the present disclosure is not limited to the specific embodiments disclosed, and the modification and other embodiments are intended to be included in the scope of the following patent applications.

20‧‧‧Display system

21‧‧‧Data Processing Device

211‧‧‧Facilities Database

212‧‧‧Processing Module

2121‧‧‧Search component

2122‧‧‧Map Generator Component

2123‧‧‧Recommended components

213‧‧‧Data Collection Module

22‧‧‧Client Device

221‧‧‧display screen

26‧‧‧Database Group

28‧‧‧Recommendation device based on activity behavior

31‧‧‧Transport Module

91‧‧‧User

D111, D112, D113, D114‧‧‧Life facility information

D121‧‧‧Additional living facilities information

D131‧‧‧Recommended Living Facilities Information

D15‧‧‧Real Estate Information Unit

D1A‧‧‧Activity Scope Data Unit

D5‧‧‧Geographic Information

D53‧‧‧Second map data block

D54‧‧‧The third map data block

D55‧‧‧Fourth map data block

D61‧‧‧Living facility attribute image data block

D62‧‧‧Living facility attribute image data block

DA1‧‧‧First Living Facilities Information

DHA1, DHA2‧‧‧Life facility category indicator

DL1‧‧‧Activity range value

M2‧‧‧Second Map

M3‧‧‧The third map

M4‧‧‧ Fourth Map

M5‧‧‧Fifth Map

S11‧‧‧First Interactive Message

S12‧‧‧Second Interactive Message

S13‧‧‧The third interactive message

S14‧‧‧The fourth interactive message

U1‧‧‧Screen

Claims (8)

A recommendation device based on activity behavior, used to transmit information to a client device, includes: a facility database, the facility database including geographic information, and a plurality of living facility data representing a plurality of living facilities, the A plurality of living facilities have a service item, the plurality of living facilities belong to one of the plurality of facility categories; a customer behavior database, the customer behavior database is used to store a plurality of customer behavior data, each customer behavior data It mainly includes a customer code, a first interactive message, and the service item relative to the first user action message, where the first interactive message includes the customer code and multiple service requirements of the customer code, and the The service demand is mainly issued for the living facility to obtain the service item provided by the living facility; a data collection module is coupled to the customer behavior database, and receives the first data from the client device through a communication module An interactive message, and store the first interactive message in the customer behavior database; a processing module coupled with the data collection module, the facility database, and the customer behavior database, based on the customer code issued In the first interactive message, for the service items of the plurality of living facilities, a list of recommended objects relative to the customer code is calculated; and a transmission module coupled with the data collection module, the facility database, and the customer behavior database To send the recommended object list to the client device. The recommendation device based on activity behavior as described in claim 1, wherein The living facility data in the facility category database contains multiple facility attributes, each facility attribute is mainly defined by a single facility attribute or multiple facility attributes, and the facility attribute is related to the service item; among them, the processing module According to the content defined by a single facility attribute or multiple facility attributes in the facility attribute of the facility category, find out multiple object data that meet the conditions to calculate the recommended object list relative to the customer code. The recommendation device based on activity behavior according to claim 1, wherein the processing module calculates an actual distance between the plurality of living facilities and a customer's frequent location within the first interactive message sent Distance; where, when a second icon displayed on a display screen is selected, the actual distance is presented near a second icon. The recommendation device based on activity behavior according to claim 1, wherein the processing module first eliminates the location of the plurality of living facilities in the first interactive message sent by the customer code that exceeds a predetermined deviation value before Calculate a range of activities surrounded by multiple living facilities relative to the customer code. A recommendation method based on activity behavior, used to transmit information to a client device, includes: creating a facility database, the facility database containing a geographic information and a plurality of living facility data representing a plurality of living facilities, Each of the plural living facilities has a service item, and the plural living facilities are respectively Belongs to one of a plurality of facility categories; establish a customer behavior database to store a plurality of customer behavior data, each customer behavior data mainly includes a customer code, and a first interactive message, and relative In the service item of the first user activity message, the first interactive message includes the customer code and a plurality of service requirements of the customer code, and the service requirements are mainly issued for the living facility to obtain the life The service item provided by the facility; receiving the first interactive message from the client device, and storing the first interactive message in the customer behavior database; the first interactive message sent based on the customer code For the service items of a plurality of living facilities, a list of recommended items relative to the customer code is calculated. The recommendation method based on activity behavior according to claim 5, wherein the living facility data in the facility category database includes a plurality of facility attributes, and each facility attribute is mainly defined by a single facility attribute or multiple facility attributes, The facility attribute is related to the service item; according to the content defined by a single facility attribute or multiple facility attributes in the facility attribute of the facility category, find out the multiple object data that meets the conditions to calculate the customer code relative A list of the recommended items. The recommendation method based on activity behavior according to claim 5, wherein an actual distance between the plurality of living facilities falling within the first interactive message sent and a location where a customer is often located is calculated; Wherein, when a second icon displayed on a display screen is selected, the actual distance is presented near the second icon. The recommendation method based on activity behavior as described in claim 5, wherein the location of the plurality of living facilities in the first interactive message sent by the customer code exceeds a predetermined deviation value before calculating the customer A range of activities surrounded by a plurality of living facilities with opposite codes.

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