CN111814039A - Information recommendation method and device, terminal and computer readable medium - Google Patents
Information recommendation method and device, terminal and computer readable medium Download PDFInfo
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Abstract
The invention relates to an information recommendation method, an information recommendation device, a terminal and a computer readable medium, wherein the method comprises the following steps: acquiring check-in information input when a user checks in a hotel; analyzing the user characteristic information of the user according to the check-in information; searching a category label matched with the user characteristic information in a preset label set; determining recommended place information to be recommended in the preset recommended place set according to the category label; and pushing the recommended place information to the user. The invention can determine the tourism place aiming at the area where the user is located through the analyzed user characteristic information, and further, the tourism place is intelligently pushed to the user, so that the time of the user is saved.
Description
Technical Field
The present invention relates to the field of information push technologies, and in particular, to an information recommendation method, an information recommendation apparatus, a terminal, and a computer-readable medium.
Background
At present, the technology of the internet of things is developed vigorously, and a large number of products of the internet of things are distributed throughout our lives. The hotel is used as a centralized place for storing foreign passengers, and plays an important role in publicizing local culture and the quality of passenger travel. When a passenger arrives at a city and the information such as local cultural characteristics, tourist destinations, food places and the like of the city is not clear, the passenger needs to access the internet to inquire relevant information and arrange the tour journey of the passenger.
However, in the process of inquiring relevant information and arranging a tour journey by a customer, the energy and time of the customer are wasted.
Disclosure of Invention
The invention provides an information recommendation method, an information recommendation device, a terminal and a computer readable medium, and aims to solve the technical problem that a passenger needs to inquire a tourist site by himself.
In a first aspect, the present invention provides an information recommendation method, including:
optionally, check-in information input by the user when the user checks in the hotel is obtained;
analyzing the user characteristic information of the user according to the check-in information;
searching a category label matched with the user characteristic information in a preset label set;
determining recommended place information to be recommended in the preset recommended place set according to the category label;
and pushing the recommended place information to the user.
Optionally, the method further includes:
obtaining recommended place information of a plurality of regions;
constructing a recommended place set according to the recommended place information in each region;
establishing a corresponding relation between each region and the recommended place set;
classifying the recommended place information of a plurality of regions according to a preset class label;
and establishing a corresponding relation between the recommended place information and a preset category label aiming at each recommended place information in the recommended place set corresponding to each region.
Optionally, the method further includes:
identifying the actual area of the mobile phone when the mobile phone is started or connected with the network;
and determining a recommended place set corresponding to the actual region in the corresponding relation between each region and the recommended place set as a preset recommended place set.
Optionally, when the number of category labels matched with the user feature information is found in a preset label set to be at least two, the determining, according to the category labels, recommended location information to be recommended in the preset recommended location set includes:
aiming at each category label in at least two category labels, respectively searching first recommended place information matched with the category label in a preset recommended place set;
merging the found first recommended place information matched with at least two category labels to obtain a first set;
and determining the first recommended place information in the first set as recommended place information to be recommended.
Optionally, when it is determined that the number of users living together is at least two according to the living information, the determining, according to the category tag, recommended location information to be recommended in the preset recommended location set includes:
searching second recommended place information matched with the category label in a preset recommended place set aiming at the category label matched with the user characteristic information of each user;
taking a union set of the second recommended place information to obtain a second set;
and determining the second recommended place information in the second set as recommended place information to be recommended.
Optionally, the method further includes:
acquiring weather information in a preset time period after the current moment;
and determining recommended place information matched with the weather information in the recommended place information as recommended place information to be recommended.
Optionally, the method further includes:
prompting whether the recommended place information is pushed or not to a user;
and if the user confirms that the recommended place information needs to be pushed, executing a step of pushing the recommended place information to the user.
In a second aspect, the present invention provides an information recommendation apparatus, including:
the acquisition module is used for acquiring check-in information input by a user when the user checks in the hotel;
the analysis module is used for analyzing the user characteristic information of the user according to the check-in information;
the searching module is used for searching a category label matched with the user characteristic information in a preset label set;
the determining module is used for determining recommended place information to be recommended in the preset recommended place set according to the category label;
and the pushing module is used for pushing the recommended place information to the user.
In a third aspect, the present invention provides a terminal, including a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus; the memory has stored therein a computer program operable on the processor, which when executed by the processor performs the steps of the method of the first aspect.
In a fourth aspect, the invention provides a computer readable medium having non-volatile program code executable by a processor, the program code causing the processor to perform the method of the first aspect.
Compared with the prior art, the technical scheme provided by the embodiment of the invention has the following advantages:
according to the method provided by the embodiment of the invention, check-in information input when a user checks in a hotel is obtained; analyzing the user characteristic information of the user according to the check-in information; searching a category label matched with the user characteristic information in a preset label set; determining recommended place information to be recommended in the preset recommended place set according to the category label; and pushing the recommended place information to the user.
Because a plurality of category labels are arranged in the preset label set, the category labels matched with the user characteristic information can be searched in the preset label set; since the preset recommended place set comprises the corresponding relation between the recommended place information and the category label, the recommended place information to be recommended can be determined in the preset recommended place set, and then the recommended place information is pushed to the user. Therefore, the tourist sites of the areas where the users are located can be determined through the analyzed user characteristic information, and then the tourist sites are intelligently pushed to the users, so that the time of the users is saved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flowchart of an information recommendation method according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating an information recommendation method according to another embodiment of the present invention;
fig. 3 is a flowchart illustrating an information recommendation method according to another embodiment of the present invention;
fig. 4 is a flowchart illustrating an information recommendation method according to another embodiment of the present invention;
fig. 5 is a flowchart illustrating an information recommendation method according to another embodiment of the present invention;
fig. 6 is a flowchart illustrating an information recommendation method according to another embodiment of the present invention;
fig. 7 is a flowchart illustrating an information recommendation method according to another embodiment of the present invention;
fig. 8 is a block diagram of an information recommendation apparatus according to another embodiment of the present invention;
fig. 9 is a block diagram of a terminal according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As the customers inquire the relevant information on the internet and arrange the travel itineraries, the energy and the time of the customers are wasted. To this end, an information recommendation method, an information recommendation device, a terminal, and a computer-readable medium according to embodiments of the present invention may be applied in a terminal, as shown in fig. 1, where the information recommendation method may include the following steps:
step S101, acquiring check-in information input by a user when the user checks in a hotel;
in the embodiment of the present invention, the check-in information refers to identity information of the user, and exemplarily, the check-in information includes identity card information M and mobile phone number information N of the user, and the like.
Illustratively, when the user 1 stays in the hotel, the user 1 provides the own identification card information M and the mobile phone number information N, so that the identification card information M and the mobile phone number information N of the user 1 can be acquired after the information is entered.
In this step, since the user needs to provide his/her own identity information for registration when he/she checks in the hotel, the identity information is used as the check-in information of the user after registration of the identity information, and then the check-in information of the user is obtained.
Step S102, analyzing the user characteristic information of the user according to the check-in information;
in the embodiment of the present invention, the user characteristic information refers to detailed identity information of the user, and exemplarily, the user characteristic information includes that the gender of the user 1 is female, the age is 25 years old, the birth area is Tianjin city, and the living area is Tianjin city, etc.
Illustratively, the user characteristic information of the user 1 is analyzed according to the check-in information of the user 1, and the obtained user characteristic information is: the gender of user 1 was female, the age was 25 years, the birth area was Tianjin City and the residency area was Tianjin City.
In this step, user characteristic information of the user may be analyzed according to the check-in information of the user.
Step S103, searching a category label matched with the user characteristic information in a preset label set;
in the embodiment of the present invention, the preset tag set refers to a set including preset tags, and exemplarily, the preset tag set is { male, female; 10-19 years old, 20-29 years old, 30-39 years old, 40-49 years old; tianjin City of birth area and Tianjin City of standing area; travel and office }.
For example, since the gender of the user 1 is female, the age is 25 years, the birth area is Tianjin City and the living area is Tianjin City, a category tag matching with the user characteristic information (the gender is male) is found in the preset tag set: a woman;
finding category labels matching with the user characteristic information (age 25) in a preset label set: 20-29 years old;
finding a category label matched with the user characteristic information (the birth area is Tianjin city) in a preset label set: tianjin City of birth area;
and searching a category label matched with the user characteristic information (the standing area is Tianjin city) in a preset label set: the Tianjin City of the usual residence;
in this step, a category label matching with each user feature information is searched in a preset label set.
Step S104, determining recommended place information to be recommended in the preset recommended place set according to the category label;
in the embodiment of the present invention, the preset recommended place set refers to a set including preset places, where places in the set have a corresponding relationship with category labels, and exemplarily, the preset recommended place set is { western restaurant, chinese restaurant; a shopping mall; scenic spot 1 (climbing mountain), scenic spot 2 (swimming lake); tianjin City special snack }, wherein the category labels corresponding to western-style restaurants are male and female;
the category labels corresponding to the Chinese restaurant are male and female;
the category label corresponding to the shopping mall is a woman;
the category labels corresponding to scenic spot 1 (climbing) are 10-19 years old, 20-29 years old, and 30-39 years old;
the category labels corresponding to scenic spot 2 (swimming lake) are 10-19 years old, 20-29 years old, 30-39 years old, 40-49 years old;
the special snack in Tianjin City corresponds to the category labels of Tianjin City in the birth area and Tianjin City in the standing area.
Exemplarily, it is determined that the recommended place information to be recommended is western-style restaurants, Chinese restaurants, shopping malls among a preset recommended place set according to the category label (female);
determining that recommended place information to be recommended is scenic spot 1 (climbing mountain) and scenic spot 2 (swimming lake) in a preset recommended place set according to the category labels (20-29 years old);
determining that the recommended place information to be recommended is a characteristic snack in Tianjin in a preset recommended place set according to a category label (Tianjin in the birth area);
and determining that the recommended place information to be recommended is the characteristic snack in Tianjin in the preset recommended place set according to the category label (Chang live region Tianjin).
In this step, according to the corresponding relationship between the recommended place information and the category label in the preset recommended place set, the recommended place information corresponding to the category label is determined in the preset recommended place set, and the recommended place information is determined as the recommended place information to be recommended.
Step S105, pushing the recommended place information to the user.
In this step, after the recommended location information to be recommended is determined, the recommended location information is pushed to the user.
According to the method provided by the embodiment of the invention, check-in information input when a user checks in a hotel is obtained; analyzing the user characteristic information of the user according to the check-in information; searching a category label matched with the user characteristic information in a preset label set; determining recommended place information to be recommended in the preset recommended place set according to the category label; and pushing the recommended place information to the user.
Because a plurality of category labels are arranged in the preset label set, the category labels matched with the user characteristic information can be searched in the preset label set; since the preset recommended place set comprises the corresponding relation between the recommended place information and the category label, the recommended place information to be recommended can be determined in the preset recommended place set, and then the recommended place information is pushed to the user. Therefore, the tourist sites of the areas where the users are located can be determined through the analyzed user characteristic information, and then the tourist sites are intelligently pushed to the users, so that the time of the users is saved.
On the basis of the above embodiment, the present invention further provides an information recommendation method, as shown in fig. 2, the method further includes:
step S201, obtaining recommended place information of a plurality of regions;
in the embodiment of the present invention, the region may be divided into regions, for example, according to cities, and then recommended location information of each region may be acquired.
Illustratively, recommended place information of Tianjin City, Beijing City, Shanghai City, and the like is acquired.
In this step, recommended place information for each region is acquired.
Step S202, a recommended place set is constructed according to the recommended place information in each region;
in the embodiment of the present invention, the recommended place set is a set including a plurality of recommended places, for example, recommended places in Tianjin city include Tianjin's eyes, ancient street, porcelain house, and sea river, and the recommended place set constructed according to the recommended places in Tianjin city is { Tianjin's eyes, ancient street, porcelain house, sea river }.
In this step, a recommended point set is constructed based on the recommended point information in each region.
Step S203, establishing a corresponding relation between each region and the recommended place set;
in this step, each region has a different set of recommended places, and therefore, a correspondence relationship between each region and the set of recommended places is established.
Illustratively, the recommended set of places corresponding to Tianjin City is { Tianjin's eye, shopping mall, ancient street, porcelain house, sea river }.
Step S204, classifying the recommended place information of a plurality of regions according to a preset class label;
in this step, the recommended point information for each area is classified according to a preset category label.
Illustratively, the preset category labels are male, female, 10-19 years old, 20-29 years old, 30-39 years old, 40-49 years old, Tianjin City of the birth area, Tianjin City of the standing area, travel, office, and the like, and the recommended place information of the Tianjin City area is classified:
the eye category labels of Tianjin are male, female, 10-19 years old, 20-29 years old, 30-39 years old, 40-49 years old;
the category labels of the ancient street are male, female, 10-19 years old, 20-29 years old, 30-39 years old, and 40-49 years old;
the category labels of the shopping malls are female, 10-19 years old, 20-29 years old, 30-39 years old, 40-49 years old;
the class labels of the porcelain house are 10-19 years old, 20-29 years old, 30-39 years old, 40-49 years old, Tianjin City in the birth area and Tianjin City in the living area;
the classification labels of the Haihe are 10-19 years old, 20-29 years old, 30-39 years old, 40-49 years old, Tianjin City in the birth area and Tianjin City in the standing area.
Step S205, for each recommended location information in the recommended location set corresponding to each region, establishing a corresponding relationship between the recommended location information and a preset category label.
In this step, for each recommended location information in the recommended location set corresponding to each region, a correspondence between the recommended location information and a preset category label is established.
The method comprises the steps of obtaining recommended place information of a plurality of regions; constructing a recommended place set according to the recommended place information in each region; establishing a corresponding relation between each region and the recommended place set; classifying the recommended place information of a plurality of regions according to a preset class label; and establishing a corresponding relation between the recommended place information and a preset category label aiming at each recommended place information in the recommended place set corresponding to each region.
Because the recommended places of each region are different and the recommended place sets established according to each region are also different, the corresponding relationship between each region and the recommended place sets needs to be established, and the corresponding relationship between the recommended place information and the preset category labels is established for each piece of recommended place information in the recommended place sets corresponding to each region, so that the recommended place information of different regions can be conveniently searched.
On the basis of the above embodiment, the present invention further provides an information recommendation method, as shown in fig. 3, the method further includes:
step S301, identifying the actual area of the mobile phone when the mobile phone is started up or connected with the network;
in the embodiment of the invention, the actual region where the mobile phone is located is identified when the mobile phone is started or is networked because the mobile phone is located in different regions.
Illustratively, if the area is Tianjin, the actual area where the area is Tianjin is identified at power-up or networking.
Step S302, determining a recommended place set corresponding to the actual region in the corresponding relation between each region and the recommended place set as a preset recommended place set.
In this step, a recommended place set corresponding to an actual region is determined according to a correspondence between each region and the recommended place set, and the recommended place set is determined as a preset recommended place set.
Illustratively, a corresponding relation exists between the Tianjin city and a recommended place set { the eyes of Tianjin, shopping malls, ancient culture streets, porcelain houses and sea rivers }, the recommended place set corresponding to the actual area (Tianjin city) is determined to be the eyes of Tianjin, shopping malls, ancient culture streets, porcelain houses and sea rivers }, and the eyes of Tianjin, shopping malls, ancient culture streets, porcelain houses and sea rivers } are determined to be a preset recommended place set.
The embodiment of the invention can identify the actual area of the mobile terminal when the mobile terminal is started or connected with the network; and determining a recommended place set corresponding to the actual region in the corresponding relation between each region and the recommended place set as a preset recommended place set. Therefore, the set of recommended places corresponding to the actual region can be determined by identifying the actual region in which the user is located.
On the basis of the foregoing embodiment, the present invention further provides an information recommendation method, where when at least two category tags matching the user feature information are found in a preset tag set, as shown in fig. 4, step S104 includes:
step S401, aiming at each category label of at least two category labels, respectively searching first recommended place information matched with the category label in a preset recommended place set;
in this step, when the number of the category labels matched with the user feature information is found to be at least two in the preset label set, for each category label of the at least two category labels, first recommended location information matched with the category label is respectively found in the preset recommended location set.
Illustratively, the preset set of recommended places is { western-style restaurant, chinese restaurant; a shopping mall; scenic spot 1 (climbing mountain), scenic spot 2 (swimming lake); tianjin City special snack }, when the number of category labels matched with the user characteristic information is two and the category labels are female and 10-19 years old, for the category labels female and 10-19 years old, the first recommended place information matched with the category labels (female) and found in the preset recommended place set is (western dinning hall, Chinese dinning hall, shopping mall) and the first recommended place information matched with the category labels (10-19 years old) (scenic spot 1 (climbing mountain) and scenic spot 2 (swimming lake)).
Step S402, merging the searched first recommended place information matched with at least two category labels to obtain a first set;
in the step, the searched first recommended location information matched with the at least two category labels is merged to obtain a first set.
Illustratively, all the first recommended place information found is western style dining rooms, Chinese style dining rooms, shopping malls, scenic spots 1 (mountain climbing) and 2 (swimming lakes), and the western style dining rooms, the Chinese style dining rooms, the shopping malls, the scenic spots 1 (mountain climbing) and 2 (swimming lakes) are merged to obtain a first set.
Step S403, determining the first recommended position information in the first set as recommended position information to be recommended.
In this step, a first set is composed of a plurality of pieces of first recommendation information, and the plurality of pieces of first recommendation information in the first set are determined as recommended place information to be recommended.
According to the embodiment of the invention, first recommended place information matched with the category labels can be respectively searched in a preset recommended place set by aiming at each category label in at least two category labels; merging the found first recommended place information matched with at least two category labels to obtain a first set; and determining the first recommended place information in the first set as recommended place information to be recommended. Therefore, the recommended place information to be recommended can be accurately determined by the category label.
On the basis of the above embodiment, the present invention further provides an information recommendation method, where when it is determined that the number of users living together is at least two according to the living-in information, as shown in fig. 5, step S104 includes:
step S501, aiming at a category label matched with the user characteristic information of each user, searching second recommended place information matched with the category label in a preset recommended place set;
in this step, when the number of the users who live in is two and the number of the entered live-in information is also two, the number of the users who live in together is determined to be two according to the live-in information, and then second recommended location information matched with the category label is searched in the preset recommended location set according to the category label matched with the user feature information of each user.
Illustratively, the preset set of recommended places is { western-style restaurant, chinese restaurant; a shopping mall; scenic spot 1 (climbing mountain), scenic spot 2 (swimming lake); tianjin City special snack },
the number of the users who live together is two, the category label matched with the user characteristic information of the first user is female and 10-19 years old, the category label matched with the user characteristic information of the second user is male and 10-19 years old, the second recommended place information matched with the category label (female and 10-19 years old) found in the preset recommended place set is western-style restaurant, Chinese restaurant, shopping mall, scenic spot 1 (climbing mountain) and scenic spot 2 (swimming lake), and the second recommended place information matched with the category label (male and 10-19 years old) is western-style restaurant, Chinese restaurant, scenic spot 1 (climbing mountain) and scenic spot 2 (swimming lake).
Step S502, merging the second recommended place information to obtain a second set;
in the step, all the second recommended place information obtained by matching is collected to obtain a second set.
Illustratively, all the second recommended places searched are western-style restaurants, Chinese restaurants, shopping malls, scenic spots 1 (mountain climbing) and scenic spots 2 (swimming lakes), and the western-style restaurants, the Chinese-style restaurants, the shopping malls, the scenic spots 1 (mountain climbing) and the scenic spots 2 (swimming lakes) are merged to obtain a second set.
Step S503, determining the second recommended position information in the second set as the recommended position information to be recommended.
In this step, a second set is formed by a plurality of pieces of second recommendation information, and the plurality of pieces of second recommendation information in the second set are determined as recommended place information to be recommended.
According to the method and the device, the second recommended place information matched with the category label can be searched in the preset recommended place set by aiming at the category label matched with the user characteristic information of each user; taking a union set of the second recommended place information to obtain a second set; and determining the second recommended place information in the second set as recommended place information to be recommended. Therefore, the recommended place information to be recommended can be accurately determined by the category label.
On the basis of the above embodiment, the present invention further provides an information recommendation method, as shown in fig. 6, the method further includes:
step S601, weather information in a preset time period after the current moment is obtained;
in this step, since the recommended place information may be affected by the weather condition, the weather information within a preset time period after the current time is acquired.
Illustratively, the preset time period is 24 hours, the user checks in at 7 am at the hotel and obtains weather information within 24 hours after 7 am, or the user checks in at 8 pm at the hotel and obtains weather information within 24 hours after 8 pm, and so on.
Step S602, determining recommended location information that matches the weather information in the recommended location information as recommended location information to be recommended.
In the step, according to the acquired weather information, recommended place information matched with the weather information in the recommended place information is determined as recommended place information to be recommended.
Illustratively, the recommended place information includes eyes and five major roads of tianjin, the weather information is clear days, and the eyes and the five major roads of tianjin are suitable for playing on the clear days, so the recommended place information matched with the weather information in the recommended place information is the eyes and the five major roads of tianjin, and the eyes and the five major roads of tianjin are determined as the recommended place information to be recommended.
The embodiment of the invention can acquire the weather information in the preset time period after the current moment; and determining recommended place information matched with the weather information in the recommended place information as recommended place information to be recommended. Therefore, the information of the recommended place to be recommended can be further screened and determined through the acquired weather information.
On the basis of the above embodiment, the present invention further provides an information recommendation method, as shown in fig. 7, the method further includes:
step S701, prompting whether the recommended place information is pushed or not to a user;
in this step, whether to push recommended place information is prompted to the user, and the prompting method may be voice prompt or the like.
Step S702, if the user confirms that the recommended place information needs to be pushed, the step of pushing the recommended place information to the user is executed.
In the step, if the user confirms that the recommended place information needs to be pushed, pushing the recommended place information to the user; if the user confirms that the recommended place information does not need to be pushed, the step of pushing the recommended place information to the user is cancelled, or if the user confirms that the recommended place information is not received or the recommended place information is refused to be pushed, the step of prompting whether the recommended place information is pushed to the user or not can be executed after a preset time period.
The embodiment of the invention can prompt the user whether to push the recommended place information; and if the user confirms that the recommended place information needs to be pushed, executing a step of pushing the recommended place information to the user. Therefore, the recommended place information can be pushed to the user, and the time of the user is saved.
On the basis of the above embodiment, the present invention further provides an information recommendation apparatus, as shown in fig. 8, the apparatus includes:
the acquisition module 81 is used for acquiring check-in information input by a user when the user checks in a hotel;
an analysis module 82, configured to analyze user characteristic information of the user according to the check-in information;
the searching module 83 is configured to search a category label matched with the user feature information in a preset label set;
a determining module 84, configured to determine, according to the category label, recommended location information to be recommended in the preset recommended location set;
a pushing module 85, configured to push the recommended place information to the user.
The device provided by the embodiment of the invention comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the check-in information input by a user when the user checks in a hotel; the analysis module is used for analyzing the user characteristic information of the user according to the check-in information; the searching module is used for searching a category label matched with the user characteristic information in a preset label set; the determining module is used for determining recommended place information to be recommended in the preset recommended place set according to the category label; and the pushing module is used for pushing the recommended place information to the user.
Because a plurality of category labels are arranged in the preset label set, the category labels matched with the user characteristic information can be searched in the preset label set; since the preset recommended place set comprises the corresponding relation between the recommended place information and the category label, the recommended place information to be recommended can be determined in the preset recommended place set, and then the recommended place information is pushed to the user. Therefore, the tourist sites of the areas where the users are located can be determined through the analyzed user characteristic information, and then the tourist sites are intelligently pushed to the users, so that the time of the users is saved.
In another embodiment of the present invention, there is also provided a terminal including: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; the memory stores a computer program that can be run on the processor, and the processor executes the computer program to implement the steps of the method of the above-mentioned method embodiments.
According to the terminal provided by the embodiment of the invention, the processor executes the program stored in the memory to realize the acquisition of the check-in information input by the user when the user checks in the hotel; analyzing the user characteristic information of the user according to the check-in information; searching a category label matched with the user characteristic information in a preset label set; determining recommended place information to be recommended in the preset recommended place set according to the category label; and pushing the recommended place information to the user, determining the tourism place for the area where the user is located according to the analyzed user characteristic information, and then intelligently pushing the tourism place to the user, so that the time of the user is saved.
The communication bus 1140 mentioned in the above terminal may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 1140 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 9, but this does not indicate only one bus or one type of bus.
The communication interface 1120 is used for communication between the terminal and other devices.
The memory 1130 may include a Random Access Memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The processor 1110 may be a general-purpose processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the integrated circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components.
In yet another embodiment of the present invention, there is also provided a computer readable medium having non-volatile program code executable by a processor, the program code causing the processor to perform the method of the method embodiment.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the invention are brought about in whole or in part when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (ssd)), among others.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An information recommendation method, comprising:
acquiring check-in information input when a user checks in a hotel;
analyzing the user characteristic information of the user according to the check-in information;
searching a category label matched with the user characteristic information in a preset label set;
determining recommended place information to be recommended in the preset recommended place set according to the category label;
and pushing the recommended place information to the user.
2. The information recommendation method of claim 1, further comprising:
obtaining recommended place information of a plurality of regions;
constructing a recommended place set according to the recommended place information in each region;
establishing a corresponding relation between each region and the recommended place set;
classifying the recommended place information of a plurality of regions according to a preset class label;
and establishing a corresponding relation between the recommended place information and a preset category label aiming at each recommended place information in the recommended place set corresponding to each region.
3. The information recommendation method of claim 2, further comprising:
identifying the actual area of the mobile phone when the mobile phone is started or connected with the network;
and determining a recommended place set corresponding to the actual region in the corresponding relation between each region and the recommended place set as a preset recommended place set.
4. The information recommendation method according to claim 1, wherein when at least two category tags matching the user feature information are found in a preset tag set, the determining recommended location information to be recommended in the preset recommended location set according to the category tags includes:
aiming at each category label in at least two category labels, respectively searching first recommended place information matched with the category label in a preset recommended place set;
merging the found first recommended place information matched with at least two category labels to obtain a first set;
and determining the first recommended place information in the first set as recommended place information to be recommended.
5. The information recommendation method according to claim 1, wherein when it is determined that the number of users living together is at least two according to the living-in information, the determining recommended location information to be recommended in the preset recommended location set according to the category label includes:
searching second recommended place information matched with the category label in a preset recommended place set aiming at the category label matched with the user characteristic information of each user;
taking a union set of the second recommended place information to obtain a second set;
and determining the second recommended place information in the second set as recommended place information to be recommended.
6. The information recommendation method of claim 1, further comprising:
acquiring weather information in a preset time period after the current moment;
and determining recommended place information matched with the weather information in the recommended place information as recommended place information to be recommended.
7. The information recommendation method of claim 1, further comprising:
prompting whether the recommended place information is pushed or not to a user;
and if the user confirms that the recommended place information needs to be pushed, executing a step of pushing the recommended place information to the user.
8. An information recommendation apparatus, comprising:
the acquisition module is used for acquiring check-in information input by a user when the user checks in the hotel;
the analysis module is used for analyzing the user characteristic information of the user according to the check-in information;
the searching module is used for searching a category label matched with the user characteristic information in a preset label set;
the determining module is used for determining recommended place information to be recommended in the preset recommended place set according to the category label;
and the pushing module is used for pushing the recommended place information to the user.
9. A terminal, comprising: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; stored in the memory is a computer program that can be run on the processor, wherein the steps of the method according to any of the claims 1 to 7 are implemented when the computer program is executed by the processor.
10. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the method of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010514452.7A CN111814039A (en) | 2020-06-08 | 2020-06-08 | Information recommendation method and device, terminal and computer readable medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010514452.7A CN111814039A (en) | 2020-06-08 | 2020-06-08 | Information recommendation method and device, terminal and computer readable medium |
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| CN111814039A true CN111814039A (en) | 2020-10-23 |
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| CN202010514452.7A Withdrawn CN111814039A (en) | 2020-06-08 | 2020-06-08 | Information recommendation method and device, terminal and computer readable medium |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104731917A (en) * | 2015-03-25 | 2015-06-24 | 百度在线网络技术（北京）有限公司 | Recommendation method and device |
| CN106528834A (en) * | 2016-11-17 | 2017-03-22 | 百度在线网络技术（北京）有限公司 | Picture resource pushing method and device based on artificial intelligence |
| CN110807147A (en) * | 2018-08-03 | 2020-02-18 | 阿里巴巴集团控股有限公司 | Travel information generation method, generation device, storage medium and processor |
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2020
- 2020-06-08 CN CN202010514452.7A patent/CN111814039A/en not_active Withdrawn
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104731917A (en) * | 2015-03-25 | 2015-06-24 | 百度在线网络技术（北京）有限公司 | Recommendation method and device |
| CN106528834A (en) * | 2016-11-17 | 2017-03-22 | 百度在线网络技术（北京）有限公司 | Picture resource pushing method and device based on artificial intelligence |
| CN110807147A (en) * | 2018-08-03 | 2020-02-18 | 阿里巴巴集团控股有限公司 | Travel information generation method, generation device, storage medium and processor |
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