TWM527117U - Collection-based recommending apparatus - Google Patents

Description

Recommended device based on collectibles

This creation is about an object recommendation device, especially one that can be used to view other related recommended items when collecting items.

In addition to the real estate trading or leasing pipeline, the real estate website has become a real estate industry in recent years, in addition to the detailed information of the national real estate sales or leasing, and can be combined with personalized demand services. Development and development goals to enhance the competitiveness of real estate developers.

In order to improve the convenience of users when using the home purchase website, most home purchase websites provide the function of user favorites. During the process of browsing and finding the house objects, the user clicks the "Favorite" button or the like function button on the object display page. To save your favorite items, you can add them to your favorites. Thereafter, users can use their favorites to routinely review, track, compare, or purchase items they like or are interested in.

However, in many cases, most people think that good objects are usually sought-after objects, but users can't see objects that others like, so it's hard to know which ones are sought-after objects. In order to overcome this problem, many players will provide a click rate list, but the high click rate is likely to be that the price looks relatively cheap, but it is not a Very worthy of priority.

In addition, in the prior art, the user can only collect one item at a time with a single account number, that is, the user selects the favorite button once (select a favorite operation), that is, the favorite folder belongs to the single account. There is a data corresponding to the collection target, but this is not enough for the business needs, and needs to track the objects that are of interest to different customers.

Therefore, a technical problem that needs to be solved urgently by those skilled in the art is to propose a mechanism for separately collecting a plurality of house objects to favorites in different account codes in a single account, so that the user can quickly and effectively The objects of interest are stored in the favorites, thereby enhancing the user experience of the favorites.

For the sake of his position, the applicant created the "Recommended Device Based on Collected Items" in the light of the lack of prior art to improve the aforementioned shortcomings.

In order to overcome the problems existing in the prior art, the present invention provides a recommendation device based on the collection object information mainly including an object database, a collection space, a collection management module, a communication module, and a recommendation module. The collection management module detects and receives the favorite event (including the user code and the object index code) from the client device, and collects the user code and the object data corresponding to the object index code in the favorite event. In the collection space. In order to respond to the collection event, the recommendation module obtains the other object index code to which the user code corresponding to the object index code belongs according to the object index code in the collection event, and transmits the list of recommended objects to issue the object identifier. A client device that collects events. The list of recommended objects is at least one of the objects related to the index of the object in the collection event. Index code.

The collection-based recommendation device provided by this creation proposes a collection that can be used to know other people's collections during the collection operation, so as to quickly find other objects worth seeing.

The collection-based recommendation device provided by the creation proposes a mechanism for simultaneously collecting a plurality of articles of the house to the favorites, so that the user can quickly and efficiently collect the objects of interest for later collection in his own collection. Further tracking or manipulation in the space, such as object comparison or remittance, etc., thereby increasing the user's satisfaction with the network system of the room owner. At the same time, it is divided into a first user code and a second user code, so that users with business needs can help their customers to collect objects and conveniently track objects of interest to different customers.

10‧‧‧Recommended device based on collectibles

101‧‧‧Database

102‧‧‧Communication module

103‧‧‧Search Module

104‧‧‧ Presentation module

105‧‧‧Subscription module

106‧‧‧Collection Management Module

107‧‧‧Return module

108‧‧‧Recommended module

12‧‧‧User equipment

121‧‧‧Search screen

20‧‧‧ operation screen

202‧‧‧First mark button

204‧‧‧Favorite function button

206‧‧‧Collection button for single objects

208‧‧‧Subscription function button

S302/S304/S306/S308/S310/S312/S314/S316/S318‧‧ steps

4‧‧‧ operation screen

5‧‧‧Collection screen

502‧‧‧ Object index code

506‧‧‧ mark button

508‧‧‧Sort function button

510a‧‧‧Deleted object function button for single object

510b‧‧‧Delete object delete button function button

512‧‧‧Compare function button

514‧‧‧Note button

60‧‧‧ comparison result screen

601‧‧‧Add object function button

602‧‧‧Add field function button

603‧‧‧Delete object function button

604‧‧‧Delete field function button

605‧‧‧Export function button

606‧‧‧ Object tag button

607‧‧‧ Field Marker Button

Fig. 1 is a system diagram showing a specific embodiment of a recommended article based on the article of the present invention.

Figure 2 shows a schematic diagram of the operation screen of the present creation, which shows the search results generated by the search module search and comparison database.

Fig. 3 is a view showing another schematic diagram of a specific embodiment of the article-based recommendation device proposed in the present creation.

Figure 4 shows a schematic diagram of the collection screen of this creation.

This creation will be made by the following preferred embodiment and its accompanying drawings. A detailed description of the step.

It should be noted that the device involved in the device embodiment and the system embodiment of the present invention may be a software body, and may be a hardware or a combination of a software body and a hardware body.

In this document, relational terms such as first and second are used merely to distinguish one entity from another, and do not necessarily require or imply any such actual relationship or order. Furthermore, the terms "comprises," "comprising," or "includes" or "includes" or "includes" or "the" Or it also includes elements inherent in such a device or system.

The operation flow of the recommended device 10 based on the collection object is roughly divided into object collection and object recommendation. The object collection is first described in the first to second figures, and the object recommendation is described in the third figure, and finally the management function of the object collection is introduced.

Referring to Fig. 1, there is shown a system diagram of a specific embodiment of a preferred article based on the article of interest in the present creation. The article-based recommendation device 10 and the database 101 storing the plurality of object materials can transmit messages to each other through non-specific communication means, and the article-based recommendation device 10 includes at least communication for receiving user input from the user device 12. The module 102, the search module 103 for searching and comparing the object data in the database 101, the subscription module 105 for processing and managing the user subscription, the presentation module 104 for presenting various images, and the collection The collection management module 106 of the collection and management of the folder and the export module 107 for data export. Each of the object data in the database 101 has an object index code.

User device 12 is based on the Internet and the creation of the collection based on the collection The recommended devices 10 of the pieces exchange data with each other. Specifically, the presentation module 104 transmits the image to be presented to the user device through the communication module 102, and the information input by the user in the various images presented by the presentation module 104 is performed by the communication module. 102 receives and further passes the information to the relevant module. The user device 12 may be a desktop computer, a notebook computer, a tablet computer, or a smart phone.

A specific embodiment of the present creation is described below in accordance with the system of Figure 1. On the user device 12, the user inputs a search condition through the search screen 121 presented by the presentation module 104, and the input can be performed by using a menu or by typing on a keyboard. The communication module 102 receives the search condition from the user device 12 via the Internet and transmits the search condition to the search module 103. The search module 103 compares the search condition with the plurality of object data in the database 101 to generate a search result, the search result includes a plurality of expected object data corresponding to the search condition and a plurality of object indexes corresponding to the plurality of expected object data. The code, each desired object data corresponds to a unique object index code. In a preferred embodiment, each item has an item number that is not duplicated with other items as its unique item index code.

For example, when the user inputs the search condition "New Taipei City, Yonghe District and between 8 million and 12 million homes" through the search screen 121 and presses the search key to issue a search event, the search module 103 receives the search. The search event of the condition compares the search condition with the plurality of object data in the database 101 to generate a search result. As shown in FIG. 2, the presentation module 104 presents a plurality of desired object data corresponding to the search condition, and a first mark button 202 relative to each desired object data through an operation screen 20 in a system preset order. And a favorite function button 204 for collecting the marked items. user The operation object screen 20 can be used to mark the item object information of interest (in general, the user will mark a plurality of pieces of house object information), and by clicking the favorite function button 204 to simultaneously collect all the object data marked by the same. . When the favorite function button 204 is activated, a favorite event is generated, the favorite event includes basic information of the marked object data, and the basic information includes at least an object index code of the marked object data, and may also include, for example, a collection time and an object. Name, object address, etc. The user can also click on the favorite button 206 for a single item to trigger a single item's favorite event.

The collection management module 106 detects whether a collection event is generated at any time. When the collection management module 106 detects the collection event and receives it, the basic information of the plurality of object materials in the collection event is simultaneously collected and used. In the corresponding collection space, when the user logs in to the website, the collected objects can be reviewed in the collection space. The user's own collection space may be set in the database 101 or independent of the database 101, or may be in the form of a list of object index codes or a list. For the sake of explanation, the following words "Favorites" are used to represent each user's exclusive collection or collection list. For users who need to quickly collect a large amount of information on housing objects, a system that can simultaneously collect multiple pieces of object information is quite attractive. Even, as shown in Figure 2, the user can check the "Select All" button to simultaneously collect all the object data searched for in a specific search condition into the favorites at one time.

Please refer to Figure 2. For example, if the user enters the search criteria "New Taipei City, Yonghe District and the house between 8 million and 12 million" through the search screen, if the user cannot find any interest from the current object information. When the object is pressed, the subscription function button 208 in the operation screen 20 that is presented after the search key is pressed, and the system helps to chase trace. When the subscription function button 208 is activated, a subscription event is issued, and the subscription event includes at least the search condition "New Taipei City, Yonghe District, and between 8 million and 12 million homes." The subscription module 105 detects whether a subscription event is generated at any time. When the subscription module 105 detects the subscription event and receives it, the subscription module 105 can execute the subscription program in response to the subscription event.

At the same time as the collection event occurs, the recommendation device 10 based on the collection object of the present creation relatively performs the recommendation process.

Referring to Fig. 3, there is shown a system diagram of a specific embodiment of the article-based recommendation device of the present invention. The article-based recommendation device 10 and the database 101 storing the plurality of object materials can transmit messages to each other through non-specific communication means, and the article-based recommendation device 10 includes at least communication for receiving user input from the user device 12. The module 102, the recommendation module 108 for recommending objects, the subscription module 105 for processing and managing user subscriptions, the presentation module 104 for presenting various images, and the collection management related to collection and management of favorites The module 106 and the export module 107 for data export. In order to collect objects, the collection space is configured to store a plurality of collection materials, each of which is a corresponding index of the object corresponding to the user code, and a number of clicks to which the object index code belongs.

Briefly, when the recommendation module 108 receives the collection event through the communication module 102, the communication module 102 can be used to retrieve the event, and based on the object index code in the collection event, the same index of the object is obtained. The other object index code to which the user code belongs, and passing the list of recommended objects to the client device 12 that issues the favorite event, so that the user can refer to more objects worthy of reference, so as to quickly find other worthy of reading. Objects can be added to the collection at the same time. The list of recommended items is relevant At least the object index code of the object index code in the favorite event.

For example, the user A collects the objects L1, L9, L10, and L12, and the user B also stores the objects L1 and L10 and L12. Therefore, when the object index code corresponds to the object L1 in the favorite event, the recommendation module 108 A list of recommenders such as objects L9, L10, and L12 is given to the client device 12 that issued the favorite event. However, under such an approach, the number of objects in the list of recommended objects may be too large, so it is necessary to do the screening first.

The recommendation module 108 obtains the other object index code to which the user code corresponding to the object index code belongs according to the object index code in the favorite event, where the other object index code to which the user code belongs The number of readings is more than a predetermined number or more than one predetermined ranking in the sorting order.

In other words, if the predetermined ranking is the first 2, since the objects L10 and L12 are respectively collected by the users A and B, only the objects L10 and L12 are included in the list of recommended objects. At the same time, when the predetermined number of clicks is 10, the number of clicks of the objects L9, L10, and L12 by the user A or B must exceed 10, which means that the user A or B pairs the objects L9, L10, and L12. Collection comparison is effective, because if the user is really interested in a particular object, it should be repeated and repeated comparisons, rather than reading the object content after the collection, so the list of recommended objects can only be placed in a valid collection. object.

Regardless of the source of the collection, the collection-based recommendation device 10 can provide further collection management.

The preset fields in the comparison result screen 60 shown in Fig. 4 are "object photo" and "source name", plus four fields selected by the user, and a total of six fields. In other embodiments, the system's default field may contain more other possible additions The user purchases a desired field, such as "the number of people in the collection", to stimulate the user's desire to purchase and increase the likelihood of the transaction. As shown in FIG. 6, the comparison result screen 60 further includes an add object function button 601, an add field function button 602, a delete object function button 603, and a delete field function button 604. The above buttons are convenient for the user to add and/or reduce objects or fields in the array comparison result, but only the fields selected by the user can be deleted from the array comparison result, and the system preset fields (such as photos and cases) The source name) cannot be removed from the array comparison result.

In order to facilitate the user to share the result of the array comparison with others, as shown in FIG. 6, the presentation module 104 is further configured to present the export function button 605 on the comparison result screen 60, with respect to each of the array comparison results. An object tag button 606 for a desired object profile and a field tag button 607 for each field in the array comparison result. The user can select the objects and fields to be exported through the object tag button 606 and the field tag button 607. When the export function button 605 is activated, a remittance event is sent, and the recurring event includes the expected object data and fields marked in the array comparison result. The export module 107 in the system of Fig. 1 of the present invention detects whether a recurring event occurs at any time, and receives the detected remittance event when the remittance event is detected, and will remit the event. The expected object data and the fields marked in the array comparison result are included. In one embodiment, the user may select the form of the export, such as archiving, printing, or mailing, etc., to export the results of the array comparison.

The article-based recommendation device proposed by the present invention can simultaneously collect a plurality of house objects to favorites, and more specifically, can simultaneously collect a plurality of subscribed house objects to a favorite. Compared with the traditional single object collection method, this creation The one-time collection concept of the collection-based recommendation device can satisfy the user's need for a large number of effective collection items. In addition, the author-based collection-based recommendation device provides a more flexible and user-friendly operation and management method for the objects in the collection, which can provide a more convenient collection experience for the user.

The present invention has been described with reference to the preferred embodiments and examples, which are intended to be illustrative and not restrictive. Anyone who knows this skill can do all kinds of combinations and modifications without departing from the spirit and scope of this creation, and it should still be covered by this patent.

10‧‧‧Recommended device based on collectibles

101‧‧‧Database

102‧‧‧Communication module

104‧‧‧ Presentation module

105‧‧‧Subscription module

106‧‧‧Collection Management Module

107‧‧‧Return module

108‧‧‧Recommended module

12‧‧‧User equipment

121‧‧‧Search screen

Claims (9)

A recommendation device based on collecting object information, comprising: an object database, storing a plurality of object materials, each object material has an object index code; a collection space, configured to store a plurality of pieces of collection data, each collection data The object index code corresponding to a user code and the number of times the object index code belongs to; a collection management module coupled to the object database, the collection space, and used for detecting and receiving from a a favorite event of the client device, the favorite event includes the user code and the object index code, to collect the user code in the favorite event, and the object data corresponding to the object index code into the storage space; And a recommendation module coupled to the communication module and the collection space, configured to use the communication module to respond to the collection event, and obtain the same collection of the object index based on the object index code in the collection event The other index of the object to which the user code belongs, and pass the list of recommended objects to the event that sent the favorite The client device, the list of recommended items for the associated collection event in the index in the object code of at least the sum of the index object code. The article-based recommendation device of claim 1, wherein the recommendation module obtains the other object to which the user code corresponding to the object index code belongs according to the object index code in the collection event. The index code, wherein the number of times of reading the other object index code to which the user code belongs is more than a predetermined number or more than one predetermined ranking in the sorting order. The article-based recommendation device of claim 1, further comprising: a search module configured to receive a search condition, comparing the search condition with the plurality of object data in the database, thereby generating And a plurality of object index codes corresponding to the plurality of expected object data, wherein the search condition is received by the communication module from the client device. The collection device-based recommendation device of claim 3, further comprising: a presentation module configured to respectively present the plurality of expectations belonging to the user code and conform to the search condition through an operation screen The item data, a first mark button relative to each desired item data, and a favorite function button for collecting the object index code corresponding to the marked desired item data, wherein the favorite event is issued when the favorite function button is activated . The article-based recommendation device of claim 4, wherein the search module is configured to compare the repeated search condition from the client device with the plurality of desired object data generated by the search module, a plurality of re-search object data and a corresponding complex re-search object object index code corresponding to the re-search condition, wherein the presentation module is further configured to respectively present the user code through the operation screen, and the Searching for the plurality of search object data and a second mark button relative to each search object data, and the favorite function button is further used for collecting the search object index code corresponding to the marked search object data. And the collection management module is further configured to receive the index code of the object containing the complex number and then search for the object The favorite event in the collection, to simultaneously collect the plural and then search for the object object index code into the collection space. The collection device-based recommendation device of claim 4, further comprising: the presentation module configured to respectively display an object index code stored in the collection space belonging to the user code through a collection screen; a plurality of desired object data corresponding to each of the desired object data in the favorite screen, a sort function button, a delete object function button, a comparison function button, and each of the comparison screens A note button for the desired item data. The article-based recommendation device of claim 6, wherein the comparison function button is further configured to present a plurality of field buttons, at least one of the plurality of field buttons being A comparison event is sent at startup, the comparison event includes the marked plurality of expected object data and the activated field, and the collection management module is further configured to receive the comparison event and compare the plural number marked in the favorite picture. The starting field of the object data is expected and an array of comparison results is produced. The article-based recommendation device of claim 7, wherein the presentation module is further configured to present the array comparison result through a comparison result screen, and present at least one of the following: an increase object function a button to add at least one desired object data that is not in the array comparison result to the array comparison result, and an add field function button to add at least one field that is not in the array comparison result to the button Array comparison results, a delete object function button for deleting at least one desired object data in the array comparison result from the array comparison result, and a delete field function button for being used in the array comparison result At least one field is removed from the array comparison result. The article-based recommendation device of claim 8, wherein the presentation module is further configured to present a export function button on the comparison result screen, and each desired object data in the array comparison result. An object tag button and a field tag button for each field in the array comparison result, wherein the export function button is activated to issue a export event, and the export event includes the array Comparing the marked desired item data and the field in the result, the favorite item-based recommendation device further comprises: a export module configured to receive the export event to compare the marked desired object in the array comparison result The data is exported to the field, and the export module is sent out in the form of a file, a print or a mail.