TWM630895U - Suggestion device of providing to-do lists - Google Patents

Abstract

A suggestion device for providing to-do items includes an object database, a customer behavior database, a data collection module, a processing module, and a transmission module. The processing module compares, based on the specific time-varying online pageviews of the object, relative to a second establishment time of the first activity category, the online pageviews within a predetermined time period after changing the characteristics of the object. Whether the change amount or the occurrence frequency of the first activity category exceeds a predetermined threshold value, a recommended list for modifying the characteristics of the object relative to the client code is calculated, and transmitted to the client device through the transmission module.

Description

Suggestion device that provides to-do items

The present disclosure relates to a display processing device, and more particularly, to a suggestion device for providing to-do items.

According to the survey of home purchase intentions, people are concerned about the convenience of their homes. Property property requirements that would-be buyers will consider include: proximity to living and consumer business districts, proximity to parks and green spaces, proximity to MRT/high-speed rail/station, etc. Housing objects with good object properties can increase the living convenience of the occupants.

Nowadays, with the popularity of the Internet, people are accustomed to searching for the desired information on the Internet. For the supply of real estate objects, some real estate object providers will present photos, layouts and housing information of the objects on their websites. Some real estate object providers will use the map to present the properties of the surrounding school districts, hospitals and other objects.

Some real estate electronic devices integrate and display real estate object/service information and/or object attribute information and/or geographic image information. The object attribute information includes text and/or pictures and/or labels and/or multimedia files. Home buyers want to be able to obtain more specific content of the property information of the object.

However, in many cases, the presentation of real estate object/service information and/or object attribute information will cause a great gap The attraction, for example, the same object name, one is three bedrooms and two halls, and the other mentions that it can overlook the 101 building, which will be very attractive to those who work in the Xinyi project area. However, there are actually more factors that affect the attractiveness of an object, and in the past, only the personal experience of the agent can make the right decision.

In order to solve the problem of insufficient attractiveness of objects, an object of the present invention is to provide a suggestion device for providing to-do items. A suggestion device for providing to-do items includes an object database, a customer behavior database, a data collection module, a processing module, and a transmission module. The processing module compares the online pageviews within a predetermined period of time after changing the characteristics of the object based on the time-varying online pageviews of the specific object relative to a second establishment time of the first activity category Whether the change amount of the first activity category or the occurrence frequency of the first activity category exceeds a predetermined threshold value, calculate the recommended list for modifying the characteristics of the object relative to the client code, and transmit it to the client device through the transmission module to become the agent's waiting list. Do things. The system will not automatically replace the broker to make changes, but only make suggestions to avoid wrong judgments in the system and increase troubles.

10: Object Distribution

111, 112, 113, 114: Object properties

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

111P, 112P, 113P, 114P: Object Features

121:Additional object properties

121A: Actual distance

121P: Additional Object Features

131: Recommended object properties

131A: Actual distance

131P: Recommended Object Features

15:Customer code

15P: Where customers are often located

20: Display system

21: Data processing device

211: Object Database

212: Processing modules

2121: Search component

2122: Map Generator Component

2123: Recommended Components

213: Data Collection Module

22: Client Device

221: display screen

26: Database group

28: Suggestion device for to-do items

31: Teleportation Module

40: Object exposure trend graph

91: User

D111, D112, D113, D114: Object properties

D111A, D112A, D113A, D114A: Active Range Data Unit

D111A1, D112A1, D113A1, D114A1: attribute words

D111A2, D112A2, D113A2, D114A2: Quantity string

D111A3, D112A3, D113A3, D114A3: Interactive content words

D111H, D112H, D113H, D114H: Object class indicator

D111P, D112P, D113P, D114P: Location Information

D121: Additional Object Properties

D121A: Additional Activity Area Data Element

D121A1: Additional attribute words

D121A2: Extra Quantity String

D121A3: Additional Interactive Content Words

D121H: Extra object attribute class indicator

D121P: Additional location information

D131: Recommended object properties

D131A: Actual Distance Data Unit

D131A1: Recommended attribute words

D131A2: Recommended quantity string

D131A3: Recommend interactive content words

D131H: Recommended Object Class Indicator

D131P: Recommended location information

D15: Real Estate Information Unit

D15H: Real estate class 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: Object attribute attribute image data block

D62: Object attribute attribute image data block

DA1: first object attribute

DHA1, DHA2: Object attribute class indicator

DL1: Active range value

EA1, EA2, EA3, EA4: Object attribute candidate category items

EL1, EL2, EL3, EL4: Candidate distance items

H111, H112, H113, H114: Object Class

HA1, HA2: Object attribute category

HB1: Extra object attribute category

HC1: Recommended Object Attribute Category

HD1: Real estate category

K111, K112, K113, K114: Icons

K121: Icon

KA2: Second Icon

KA3: The third icon

KB3: Third Icon

KA4: Fourth Icon

L1: Active range 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: The first marked position

MA2: Second marked position

MA3: The third marked position

MA4: Fourth marked position

MA5: Fifth marked position

MR1: specific map area

Q1: Optional Icons

R1: Active range

S11: The first activity category

S12: Second activity category

S13: The third activity category

S14: Fourth Activity Category

U1: Screen

This disclosure may be better understood through the detailed description of the following figures:

FIG. 1 is a schematic diagram of a display system in various embodiments of the present disclosure.

FIG. 2 is a schematic diagram of an object distribution in various embodiments of the present disclosure.

Figure 3: A schematic diagram of the structure of an object database in Figure 1.

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

FIG. 5 shows a schematic diagram of the classification of a specific embodiment of the object category-based recommendation device proposed in the present invention.

FIG. 6 shows a schematic diagram of the operation interface of the recommendation device based on the object type proposed in the present invention.

See Figures 1, 2 and 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 an object distribution 10 in various embodiments of the present disclosure. FIG. 3 is a schematic structural diagram of an object database in a database group 26 in FIG. 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 an object 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 object database 211 includes the database group 26, and the database group 26 is further divided into an object 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 object distribution 10 includes a plurality of objects 111 , 112 , 113 and 114 . For example, the object distribution 10 may further include at least one additional object attribute 121 , a recommended object attribute 131 and a customer code 15 . Customer code 15 and the plurality of objects 111, 112, 113, There are a plurality of interactive relationships 111A, 112A, 113A and 114A between 114 . The plurality of objects 111 , 112 , 113 and 114 respectively have a plurality of object features 111P, 112P, 113P and 114P. The additional object attribute 121 has an additional movable range 121A and an additional object feature 121P. The recommended object attribute 131 has an actual distance 131A and a recommended object feature 131P. The customer code 15 has a frequent location 15P for real estate customers. The processing module 212 calculates an actual distance between the plurality of object attributes within the sent first request message and the usual location of the client.

The plurality of objects 111, 112, 113 and 114 belong to a plurality of object classes H111, H112, H113 and H114 respectively, and each class of the plurality of object classes H111, H112, H113 and H114 is a plurality of object attribute classes HA1 and HA2 one of them. The additional object attribute 121 belongs to an additional object attribute class HB1, and the additional object attribute class HB1 is different from any one of the plurality of object attribute classes HA1 and HA2. The recommended object attribute 121 belongs to a recommended object attribute category HC1. The customer code 15 belongs to a real estate class HD1.

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

In Figure 1, the data collection module 213 receives data from A first activity category S11 or a second activity category S12 of a user 91 . The first request message S11 includes the client code and a plurality of service requirements of the client code, and the service requirements are mainly issued for the object attributes 111 , 112 , 113 and 114 The service requirements are mainly issued for the object , the second request message indicates the client code and a second geographic location of the client code.

For example, in order to inspect the house, the user 91 will at least mention the relative property of the object, the characteristics of the object, and the location of the customer in the first activity category S11 sent out by the user 91 . Wherein, in the customer behavior database, the location of the customer mentioned in the first activity category S11 of the relative customer code with high repeatability is defined as the location where the customer is often located.

The processing module 212 compares, based on the time-varying online pageviews of the specific object, relative to the second establishment time of the first activity category, the online pageviews within a predetermined time period after changing the characteristics of the object. Whether the change amount or the occurrence frequency of the first activity category exceeds a predetermined threshold value, a recommended list for modifying the characteristics of the object is calculated relative to the customer code. The processing module calculates a recommended list for modifying the characteristics of the object according to the object exposure trend graph 40 shown in FIG. 6 .

For example, when the first activity category is viewing, the system will continue to count the viewing volume of each object on a certain date, as shown in the part of the histogram of the object exposure trend chart 40 shown in Figure 6, At the same time, the system will also count online page views, such as the part of the graph in the object exposure trend graph 40 . With the object exposure trend chart 40, if the relative steepness of the trend lines of the two When the degree of kurtosis exceeds a predetermined threshold, it is possible to assess what is causing it. In the evaluation process, the judgment is first made by comparing the predetermined time after changing the object feature or object attribute, object attribute group, and so on. For example, the original name of the case was "Three bedrooms and two halls in Xinyi District", but the name of the case was changed to "Three bedrooms in the United States overlooking the 101 Building", which would have huge implications for those working in the Xinyi Project District. When the relative steepness of the trend line exceeds the predetermined threshold, it is determined that changing the name of the case is helpful for improving exposure.

In the future, when the system finds that there are still objects in the object database whose case names are too "ordinary", the system will make suggestions for modification, because there are many similar object characteristics or object attributes, and object attribute groups may need to be modified. Therefore, according to the same logic, the processing module 212 can calculate the recommended list for modifying the characteristics of the object relative to the specific object. The judgment mechanism of the above-mentioned cases whose names are too "ordinary" is mainly based on the rule of thumb, or the word database accumulated by the rule of thumb is used as the basis for judgment. In addition to the rule of thumb, the object exposure trend graph 40 can also be used to assist judgment. For example, if it is found that the exposure trend graph 40 of an object always maintains a very low slope, the object characteristics to which the object belongs will be regarded as Factors that need to be modified and handed over to human work to screen out possible factors.

In order to achieve this purpose, 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 attribute groups to which the object index code belongs, as shown in Figure 6. The object attribute group is composed of a plurality of object attributes, and the object characteristics constituting the object attribute include a short name selected from the real estate object, Price, community name, address, floor, building registration area, land registration area, unit price per unit area, type, layout, age of house, parking space, seat orientation, elevator, management fee, layout plan, life function. Each of the plurality of object attributes has a priority, and the higher the priority is, the higher the priority will be, and the object presented in the recommended list for modifying the characteristics of the object will be affected.

The object class database 211 stores a plurality of object class data, each object class data has an object index code, and the object; a plurality of object attributes to which the index code belongs, and each object attribute is mainly a single object feature or multiple object attributes Object characteristics are defined. For example, the attribute group of the object is three generations living in the same house, and the relative object characteristic is the larger room (more than 3 bedrooms and more than 30 pings), and the rest of the corresponding relationship is shown in Figure 5.

Next, it will be explained how the above-mentioned online page views are generated. Simply put, it is mainly because the user searches on the information platform that displays multiple objects, so that the data collection module can collect each item from the information platform. The number of online views of the object over time.

The processing module 212 uses a weight calculation formula to obtain the service items of the plurality of living facilities in the first interactive message sent by the client code to obtain the major impact on living facilities and their relative facility types, and then according to In the facility attribute of the facility category, the content defined by a single object attribute or a plurality of object attributes is used to find out plural real estate information whose conditions match each other, and generate a recommended object list including a specific number of plural real estate information. For example, if the main affected facility category is three generations living together (such as a facility suitable for three generations to go together, such as the IKEA home) Store), the processing module 212 searches the object database 101 according to the object attributes of 3 rooms or more and 30 ping or more. In this way, the user only needs to simply select a specific facility, and the system can search for the corresponding object 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, so as to detect the existence of the device used by the user 91, for example, once the mobile phone WIFI signal is detected, it will be recorded. , that is, the user 91 may also send the second interactive message S12 in a passive state. The second request message S12 indicates the client code and a second geographic location of the client code (that is, the location of the above-mentioned 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 active range radius L1 indicates the active range R1 with respect to the client code 15 .

In addition, an 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 FIGS. 1 and 3, the facility database in the database group 26 includes geographic information D5, and a plurality of living facility data D111, D112 representing the plurality of 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 A real estate data element D15 representing the customer code 15 can further be included.

In FIG. 3, the plurality of living facility data D111, D112, D113 and D114 respectively include a 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 category indicators D111H, D112H, D113H and D114H of a plurality of facility categories H111, H112, H113 and H114, and a plurality of activity range data units D111A respectively representing the plurality of interaction relationships 111A, 112A, 113A and 114A, D112A, D113A and D114A.

The extra living facility data D121 includes an extra location information D121P representing the extra service item 121P, an extra living facility type indicator D121H indicating the extra living facility type HB1, and an extra activity area data representing the extra activity area 121A Unit D121A. The recommended living facility data D131 includes a recommended location information D131P representing the recommended service item 131P, 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 frequent location 15P of the real estate customer, and a real estate type indicator D15H indicating the real estate type HD1.

As shown in Fig. 2 and Fig. 3, the plurality of interactive relationships 111A, 112A, 113A and 114A in Fig. 2 are respectively represented by a plurality of attribute words D111A1, D112A1, D113A1 and D114A1, and are respectively formed with The plurality of interactive relationships 111A, 112A, 113A and 114A Plural numbers corresponding respectively, and plural interactive contents corresponding to the plural 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 issued for the living facility, and the second request message S12 indicates the customer code and the A second geographic location of the client 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 displays the second map M2 and the third map M3 on the display screen 221 at different times. 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 out order records (ie, the first request message) for the living facilities 111 and 114, and the user 91 has passed special devices near the living facilities 112 and 113, and can find the user The existence of the device used by 91 (ie, the second request message), and through the above-mentioned several geographic locations, the activity range R1 can be surrounded on the map. In other words, if the object of interest to the user 91 falls within the activity range R1 when he requests a house in the future, the system will register the user 91 are local tourists. However, the system can flexibly expand the range covered by the activity range R1, so that local guests can judge more accurately, because it may just happen that the user 91 has not enough information on the behavior trajectory left in the system, causing the system to misjudgment. Conversely, if the object of interest to the user 91 does not fall within the activity range R1, the system will mark the user 91 as a non-local guest.

However, sometimes the user 91 only occasionally runs to an area where he does not often move, and the processing module 212 first removes the plurality of living facilities in the first request message S11 sent by the client code. The relative activity range of the client code is calculated only when the service item or the second geographic location in the second request message S12 exceeds a predetermined deviation value. On the other hand, if the amount of data is too small, the system may misjudge, and a threshold value needs to be set. Therefore, the processing module 212 first confirms the status of the plurality of living facilities in the first request message S11 sent by the customer code. The relative activity range of the client code is calculated only when the service item or the second geographic location in the second request message S12 exceeds a predetermined number.

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 transmit the activity range and the second map to the client through the transmission module 31 end device 22 . Specifically, the processing module 212 also filters out the plurality of living facilities within the sent first request message, and then generates the second map data block representing a second map, wherein the first The second map is a map in which a plurality of icons are displayed at the plurality of marked positions on the map, and the plurality of icons respectively indicate the plurality of living facilities.

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

The system can selectively display relevant 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 an interactive operation at a first time and a second time after the first time, respectively. The interactive operation is transmitted to the data processing device 21 at different times. For example, the data processing device 21 can calculate an actual distance between the plurality of living facilities and the frequent location of the customer. 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 presented in the first Near the second symbol KA2.

Many modifications and other embodiments of the disclosure presented herein will be appreciated by those skilled in the art having the benefit of the teachings presented in the foregoing descriptions and associated drawings. Therefore, it should be understood that the present disclosure is not limited to the specific embodiments disclosed, and modifications and other embodiments are intended to be included within the scope of the following claims.

20: Display system

21: Data processing device

211: Object Database

212: Processing modules

2121: Search component

2122: Map Generator Component

2123: Recommended Components

213: Data Collection Module

22: Client Device

221: display screen

26: Database group

28: Suggestion device for to-do items

31: Teleportation Module

91: User

D111, D112, D113, D114: Object properties

D121: Additional Object Properties

D131: Recommended object properties

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: Object attribute attribute image data block

D62: Object attribute attribute image data block

DA1: first object attribute

DHA1, DHA2: Object attribute class indicator

DL1: Active range value

M2: Second map

M3: The third map

M4: Fourth Map

M5: Fifth Map

S11: The first activity category

S12: Second activity category

S13: The third activity category

S14: Fourth Activity Category

U1: Screen

Claims (4)

A suggestion device for providing to-do items for transmitting information to a client device, comprising: an object database, the object database includes a geographic information, online page views that change over time, and a plurality of A plurality of object attributes of the object, each of which has an object feature, and a first creation time relative to the object feature, the plurality of object attributes belong to one of the plurality of object categories respectively; a customer behavior data The customer behavior database is used to store a plurality of customer behavior data, each customer behavior data mainly includes a customer code, a first activity category, and a second establishment time relative to the first activity category, wherein The first activity category includes the client code and a plurality of service requirements of the client code, and the service requirements are mainly issued for the specific object; a data collection module receives data from the client through a communication module the client code of the device, the first activity category, and the creation time relative to the first activity category, while collecting the time-varying online pageviews for each item from an information platform displaying a plurality of items, and stored in the customer behavior database and the object database respectively; a processing module coupled with the data collection module, the object database, and the customer behavior database, based on the online browsing of the object over time amount, relative to a second establishment time of the first activity category, compared to Within a predetermined period of time after the feature of the object is changed, whether the change in the online page views or the frequency of occurrence of the first activity category exceeds a predetermined threshold, calculate a list of recommendations for modifying the feature of the object relative to the specific object, the recommendation list includes at least one feature of the object to which the object belongs; and A transmission module, coupled to the data collection module, the object database, and the customer behavior database, is used for transmitting the recommendation list for modifying the characteristics of the object to the client device. The device for providing to-do items as claimed in claim 1, wherein each object attribute is mainly defined by a single object feature or a plurality of object features, and the object attribute is related to the object feature; Wherein, the processing module finds out a plurality of object data whose conditions match each other according to the content defined by a single object feature or a plurality of object features in the object attribute of the object type, so as to calculate the relative modification of the client code. A recommended list of object characteristics. The device for providing to-do items as claimed in claim 1, wherein the processing module calculates a relationship between the plurality of object attributes falling within the issued first activity category and a customer's frequent location actual distance; Wherein, when a second icon displayed on a display screen is selected, the actual distance is displayed near a second icon. The suggestion device for providing to-do items as claimed in claim 1, wherein the The management module first excludes the position of the plurality of object attributes in the first activity category issued by the customer code that exceeds a predetermined deviation value, and then calculates the surrounding distance between the plurality of object attributes relative to the customer code. a range of activities.

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