CN109522431B - Hotel recommendation method and system based on picture recognition - Google Patents
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Abstract
The invention provides a hotel recommendation method based on picture identification, which is applied to a hotel recommendation system based on picture identification. The method comprises the following steps: a user terminal sends a push request to a server, wherein the push request comprises an identity of a user; after receiving the push request, the server acquires a picture corresponding to the hotel; the server acquires the characteristics of the standing hotel according to the picture of the standing hotel; the server retrieves information of the recommended hotel, of which the characteristic similarity with the characteristic of the hotel which the user frequently lives in is greater than a preset value, from a database and pushes the information of the recommended hotel to the user terminal; and the user terminal displays the information of the recommended hotel. The invention provides a hotel recommendation method and system based on picture identification, which obtains the characteristics of a hotel which is always in place through picture identification of the hotel which is always in place by a user, obtains a hotel with a similar style according to the characteristics of the hotel which is always in place, and recommends the hotel to the user.
Description
Technical Field
The invention relates to the technical field of information recommendation, in particular to a hotel recommendation method and system based on picture identification.
Background
With the rapid development of the internet and big data technologies, recommendation systems have been increasingly applied to various industries so that users can know required information such as information of hotels.
Most of the existing hotel recommendation methods need users to input keyword information to screen hotel information matched with the users, so that the operation is complex, time and labor are wasted, and the recommended hotels cannot meet the requirements of the users because the users often cannot accurately or comprehensively input the keyword information.
Therefore, a hotel recommendation method which is time-saving, labor-saving and high in pushing accuracy needs to be provided.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a hotel recommendation method and system based on picture identification, which can screen recommended hotels similar to the characteristics of the user's standing hotels from a database by using the characteristics of the standing hotels after acquiring the characteristics of the standing hotels according to pictures of the standing hotels, and push the information of the recommended hotels to a user terminal for the user to refer to.
The technical problem to be solved by the invention is realized by adopting the following technical scheme:
a hotel recommendation method based on picture identification comprises the following steps: a user terminal sends a push request to a server, wherein the push request comprises an identity of a user; after receiving the push request, the server acquires a picture corresponding to the hotel; the server acquires the characteristics of the standing hotel according to the picture of the standing hotel, wherein the characteristics comprise star level, the direction of the room entering the room, decoration style and indoor design; the server retrieves information of the recommended hotel, of which the characteristic similarity with the hotel frequently held by the user is larger than a preset value, from a database and pushes the information of the recommended hotel to the user terminal, wherein the information of the recommended hotel comprises an identification of the recommended hotel and/or a picture of the recommended hotel; and the user terminal displays the information of the recommended hotel.
In a preferred embodiment of the present invention, after the server receives the push request, the step of obtaining the picture corresponding to the hotel further includes: the server receives positioning information of the user terminal to acquire information of the user entering the hotel each time according to the positioning information, or performs information interaction with a hotel service terminal to acquire information of the user entering the hotel each time, wherein the positioning information is geographical position information when a position change range is smaller than a preset range and a duration time is longer than a preset time; and the server screens out the check-in hotels with check-in times exceeding the preset times according to the check-in times so as to acquire the information of the regular-stay hotels.
In a preferred embodiment of the present invention, the step of obtaining the picture corresponding to the hotel comprises: the picture information may be a picture corresponding to the hotel standing by, which is sent by the user terminal; or after the information of the hotel which is normally kept and corresponds to the identity is obtained, the picture which corresponds to the hotel which is normally kept and is obtained from the database.
In a preferred embodiment of the present invention, the step of acquiring, by the server, the feature of the persistent hotel according to the picture of the persistent hotel includes: acquiring a plurality of pictures corresponding to the hotel; the server analyzes the same characteristics in the multiple pictures to acquire the characteristics of the hotel standing by, or acquires the characteristics of the hotel standing by according to the characteristic information of the multiple pictures.
In a preferred embodiment of the present invention, the step of retrieving, by the server, information of a recommended hotel, where similarity with the characteristic information of the user's frequent hotel is greater than a preset value, from a database includes: the server acquires the characteristic information of the hotel to be recommended in the database by acquiring the picture information of the hotel to be recommended in the database, or directly acquires the characteristic information of the hotel to be recommended in the database; and performing matching operation on the characteristic information of the hotel to be recommended in the database and the characteristic information of the hotel which is always in the hotel so as to screen out the information of the recommended hotel of which the similarity is greater than a preset value from the hotel to be recommended.
In a preferred embodiment of the present invention, the step of retrieving, by the server, information of a recommended hotel, where similarity with the characteristic information of the user's frequent hotel is greater than a preset value, from a database further includes: the server acquires the current position of the user; the server screens out hotels to be recommended, which are less than a preset distance from the current position of the user, from the database; and the server screens out the information of the recommended hotels, of which the similarity with the characteristic information of the hotels frequently living by the user is greater than a preset value, from the hotels to be recommended.
In a preferred embodiment of the present invention, the step of the server obtaining the current location of the user further includes: the user terminal acquires the current position of the user through the positioning system and sends the current position of the user to the server, or the server acquires the position information of the user terminal through the positioning system to acquire the position information of the user.
In a preferred embodiment of the present invention, the information of recommending hotels includes: at least two of hotel name, hotel housing price, hotel address and user rating.
A hotel recommendation system based on picture identification comprises a user terminal and a server; the user terminal sends a push request to a server, wherein the push request comprises an identity of a user; after receiving the push request, the server acquires a picture corresponding to the hotel, acquires the characteristic of the hotel according to the picture of the hotel, wherein the characteristic comprises star level, the direction of the room entering, decoration style and indoor design, retrieves information of the recommended hotel with the characteristic similarity of the hotel which is frequently kept by the user and is greater than a preset value from a database, and pushes the information of the recommended hotel to the user terminal, and the information of the recommended hotel comprises the identification of the recommended hotel and/or the picture of the recommended hotel; and the user terminal displays the information of the recommended hotel.
In a preferred embodiment of the present invention, the user terminal is a car machine.
The technical effect achieved by adopting the technical scheme is as follows: after the characteristics of the hotel are obtained according to the picture of the hotel, the recommended hotel similar to the characteristics of the hotel which is always kept by the user is screened out from the database by utilizing the characteristics of the hotel which is always kept by the user, and the information of the recommended hotel is pushed to the user terminal for the user to refer to, so that the user does not need to input keywords, time and labor are saved, the pushing accuracy is high, and an important ring is added for intelligent travel.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following preferred embodiments are specifically illustrated in the accompanying drawings and described in detail.
Drawings
Fig. 1 is a flowchart of a hotel recommendation method based on picture recognition according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a hotel recommendation system based on picture recognition according to a second embodiment of the present invention.
Detailed Description
To further illustrate the technical measures and effects taken by the present invention to achieve the intended objects, embodiments of the present invention will be described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. While the present invention has been described in connection with the preferred embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but is intended to cover various modifications, equivalent arrangements, and specific embodiments thereof.
Fig. 1 is a flowchart of a hotel recommendation method based on picture recognition according to a first embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S1: and the user terminal sends a push request to the server.
Specifically, the user terminal may, but is not limited to, send a push request to the server when receiving a push instruction input by the user, and may also send a push request to the server when obtaining schedule information to be hosted outside, for example, on a business trip or on a vacation. The user terminal may obtain schedule information that the user is going to go out of home according to received instant messaging information or memo information including going on a business trip or vacation, but not limited thereto.
Specifically, in this embodiment, the push request includes an identity of the user, and the identity of the user may be a biometric identifier of the user, such as a face of the user or an identifier of a user terminal bound to the user.
Specifically, in an embodiment, while the user terminal sends the push request to the server, the user terminal may also send location information of an upcoming check-in to the server. Specifically, the user terminal may directly default the current location information of the user terminal to the location information to be checked when the location information to be checked, which is input by the user, is not received.
Specifically, in an embodiment, after the user terminal sends the push request to the server, the server receives the positioning information of the user terminal, so as to obtain information of each hotel check-in of the user according to the positioning information, or perform information interaction with the hotel service terminal to obtain information of each hotel check-in of the user. The positioning information is geographical position information when the position change range is smaller than the preset range and the duration time is longer than the preset time.
Specifically, the server screens out the check-in hotels with check-in times exceeding the preset times according to the times of the users checking in the hotels, confirms that the screened hotels are the user regular-check hotels, and acquires information of the regular-check hotels.
Step S2: and after receiving the push request, the server acquires a picture corresponding to the hotel.
Specifically, in an embodiment, after the server obtains the information of the hotel staying frequently corresponding to the identification, the server obtains picture information from the information of the hotel staying frequently, or after the server obtains the information of the hotel staying frequently corresponding to the identification, the server obtains a picture corresponding to the hotel staying frequently from the database.
Specifically, the server may also directly obtain pictures of the hotel. Such as: and sending the pictures corresponding to the hotel which is always in the hotel, which are sent by the user terminal, to the server.
And step S3: the server obtains the features of the standing hotel according to the picture of the standing hotel.
Specifically, the characteristics of the hotel include star rating, orientation of the room, furnishing style, interior design.
Where the orientation of the room may include, but is not limited to, the height of the floor of the room, e.g., high floor, the environment outside the window of the room, e.g., by road or garden, etc., the geographic location of the room, e.g., by east.
Specifically, in this embodiment, the server obtains a key point in the picture through picture identification, where the key point is a feature of the hotel. Specifically, in another embodiment, after the server obtains a plurality of pictures corresponding to the hotel, the same features in the plurality of pictures are analyzed to obtain the features of the hotel, or the features of the hotel are obtained according to the feature information of the plurality of pictures.
And step S4: and the server retrieves the information of the recommended hotel, of which the characteristic similarity with the characteristic of the hotel which the user normally lives in is greater than a preset value, from the database.
Specifically, in an embodiment, after the server obtains the feature of the hotel staying frequently, the server screens out the hotel to be recommended of which the distance from the current position of the user is less than a preset distance from the database according to the position information, such as the current position, of the user about to check in, and screens out the information of the hotel to be recommended of which the similarity with the feature information of the hotel staying frequently by the user is greater than a preset value from the hotel to be recommended. Specifically, in another embodiment, the server obtains city information of the user terminal through the position information sent by the user terminal, and confirms that the hotel in the city is the hotel to be recommended.
Specifically, the user terminal obtains the current position of the user through the positioning system and sends the current position of the user to the server, or the server obtains the current position of the user terminal through the positioning system to obtain the current position of the user.
Specifically, in an embodiment, the server obtains the feature information of the hotel to be recommended in the database by obtaining the picture information of the hotel to be recommended in the database, or directly obtains the feature information of the hotel to be recommended in the database. And then, matching operation is carried out on the characteristic information of the hotel to be recommended in the database and the characteristic information of the hotel which is always in the hotel, so that the information of the recommended hotel with the similarity larger than a preset value is screened out from the hotel to be recommended.
Step S5: and pushing the information of the recommended hotel to the user terminal.
Specifically, in this embodiment, the information of the recommended hotel includes an identifier of the recommended hotel and/or a picture of the recommended hotel.
Step S6: and displaying the information of the recommended hotel by the user terminal.
Specifically, the recommended hotel information may be ranked on a display interface of the user terminal according to a hotel housing price or user evaluation. The recommended hotel information may further include information such as a name of the hotel, an address of the hotel, and the like.
Specifically, the hotel recommendation method based on picture identification provided by the invention obtains the characteristic that the user frequently lives in the hotel according to the push request sent by the user terminal. And analyzing and retrieving hotel information in the database through the characteristic of the hotel which the user lives in a permanent way to obtain a recommended hotel similar to the characteristic of the hotel which the user lives in a permanent way, and pushing the information to a user terminal for the reference of the user.
Fig. 2 is a schematic structural diagram of a hotel recommendation system based on picture recognition according to a second embodiment of the present invention. As shown in fig. 2, the system includes: a user terminal 10 and a server 20.
Specifically, in this embodiment, the user terminal 10 sends a push request to the server 20, where the push request includes an identity of the user. After receiving the push request, the server 20 obtains the information of the hotel staying often corresponding to the identity through the identity of the user, obtains a picture corresponding to the hotel staying often by the user through the information of the hotel staying often by the user, and obtains the characteristic of the hotel staying often according to the picture of the hotel staying often. The hotel features include star rating, room occupancy orientation, finishing style, and interior design. The server 20 retrieves the information of the recommended hotel from the database, the characteristic similarity of which to the hotel which the user frequently lives in is greater than a preset value, and pushes the information of the recommended hotel to the user terminal 10. The information of the recommended hotel comprises an identification of the recommended hotel and/or a picture of the recommended hotel. The user terminal 10 presents the information of the recommended hotel to the user reference.
Specifically, in this embodiment, the user terminal 10 is a car machine, and the server 20 provides the user with reference by pushing the recommended hotel information to the car machine, thereby adding an important ring to the intelligent travel.
Specifically, according to the hotel recommendation system based on picture identification provided by the invention, the recommended hotel information searched by the server 20 is sent to the user terminal 10 for the user to refer to, so that an important ring is added to intelligent travel.
The preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the specific details of the above embodiments, the above embodiments are exemplary, and it should not be understood as a limitation of the present invention, and within the technical idea of the present invention, many simple modifications can be made to the technical solution of the present invention, and these simple modifications all belong to the protection scope of the present invention.
Claims (8)
1. A hotel recommendation method based on picture recognition is characterized by comprising the following steps:
a user terminal sends a push request to a server, wherein the push request comprises an identity of a user;
the server receives positioning information of the user terminal to acquire hotel entrance information of the user each time according to the positioning information, wherein the positioning information is geographical position information when a position change range is smaller than a preset range and a duration time is longer than a preset time;
the server screens out the check-in hotels with check-in times exceeding a preset number according to the check-in times so as to acquire information of the regular-check-in hotels;
after receiving the push request, the server acquires a picture corresponding to the hotel;
the server acquires the characteristics of the standing hotel according to the picture of the standing hotel, wherein the characteristics comprise star level, the direction of the room entering the room, decoration style and indoor design;
the server retrieves information of the recommended hotel, of which the characteristic similarity with the hotel which the user normally lives in is greater than a preset value, from a database, and pushes the information of the recommended hotel to the user terminal, wherein the information of the recommended hotel comprises an identification of the recommended hotel and/or a picture of the recommended hotel;
the user terminal displays the information of the recommended hotel;
the step of the server retrieving the information of the recommended hotel with similarity degree of the characteristic information of the user standing hotel larger than a preset value from the database further comprises the following steps:
the server acquires the current position of the user;
the server screens out hotels to be recommended, which are less than a preset distance from the current position of the user, from the database;
and the server screens out the information of the recommended hotels, of which the similarity with the characteristic information of the hotels frequently kept by the user is greater than a preset value, from the hotels to be recommended.
2. The hotel recommendation method based on picture identification as recited in claim 1, wherein the step of obtaining a picture corresponding to the standing hotel comprises:
the picture information is a picture which is sent by the user terminal and corresponds to the hotel; or
And after the information of the hotel which is normally kept and corresponds to the identity is obtained, the picture which is corresponding to the hotel which is normally kept and is obtained from the database.
3. The hotel recommendation method based on picture identification as claimed in claim 1, wherein the step of the server obtaining the feature of the standing hotel according to the picture of the standing hotel comprises:
acquiring a plurality of pictures corresponding to the hotel;
the server analyzes the same characteristics in the multiple pictures to acquire the characteristics of the hotel standing by, or acquires the characteristics of the hotel standing by according to the characteristic information of the multiple pictures.
4. The hotel recommendation method based on picture recognition as recited in claim 1, wherein the step of retrieving, by the server, information of the recommended hotel having a similarity degree with the characteristic information of the hotel frequently owned by the user greater than a preset value from a database comprises:
the server acquires the characteristic information of the hotel to be recommended in the database by acquiring the picture information of the hotel to be recommended in the database, or directly acquires the characteristic information of the hotel to be recommended in the database;
and matching the characteristic information of the hotel to be recommended in the database with the characteristic information of the hotel which is frequently living, so as to screen out the information of the recommended hotel with the similarity greater than a preset value from the hotel to be recommended.
5. The hotel recommendation method based on picture identification as recited in claim 1, wherein the step of the server obtaining the current location of the user further comprises:
the user terminal acquires the current position of the user through a positioning system and sends the current position of the user to the server, or the server acquires the position information of the user terminal through the positioning system to acquire the position information of the user.
6. The hotel recommendation method based on picture identification as recited in claim 1, wherein the information for recommending hotels further comprises: at least two of hotel name, hotel housing price, hotel address and user rating.
7. A hotel recommendation system based on picture recognition is characterized by comprising a user terminal and a server;
the user terminal sends a push request to a server, wherein the push request comprises an identity of a user;
the server receives positioning information of the user terminal to acquire hotel entrance information of the user each time according to the positioning information, wherein the positioning information is geographical position information when a position change range is smaller than a preset range and a duration time is longer than a preset time;
the server screens out the check-in hotels with check-in times exceeding a preset number according to the check-in times so as to acquire information of the regular-check-in hotels;
after receiving the push request, the server acquires a picture corresponding to the hotel, acquires the characteristic of the hotel according to the picture of the hotel, wherein the characteristic comprises star level, the direction of the room entering, decoration style and indoor design, retrieves the information of the recommended hotel with the characteristic similarity of the hotel which is frequently kept by the user and is greater than a preset value from a database, and pushes the information of the recommended hotel to the user terminal, and the information of the recommended hotel comprises the identification of the recommended hotel and/or the picture of the recommended hotel;
the user terminal displays the information of the recommended hotel;
the step that the server retrieves the information of the recommended hotel with the characteristic information similarity of the hotel frequently owned by the user being greater than a preset value from the database further comprises the following steps:
the server acquires the current position of the user;
the server screens out hotels to be recommended from the database, wherein the distance between the hotels to be recommended and the current position of the user is smaller than a preset distance;
and the server screens out the information of the recommended hotels, of which the similarity with the characteristic information of the hotels frequently kept by the user is greater than a preset value, from the hotels to be recommended.
8. The hotel recommendation system based on picture recognition as recited in claim 7, wherein the user terminal is a car machine of a car.
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| CN201811102608.XA CN109522431B (en) | 2018-09-20 | 2018-09-20 | Hotel recommendation method and system based on picture recognition |
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| CN201811102608.XA CN109522431B (en) | 2018-09-20 | 2018-09-20 | Hotel recommendation method and system based on picture recognition |
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| CN111325638A (en) * | 2020-02-10 | 2020-06-23 | 北京蚂蜂窝网络科技有限公司 | Hotel identification processing method, device, equipment and storage medium |
| CN113139667B (en) * | 2021-05-07 | 2024-02-20 | 深圳他米科技有限公司 | Hotel room recommending method, device, equipment and storage medium based on artificial intelligence |
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