CN110796509B

CN110796509B - Commodity recommendation method and device

Info

Publication number: CN110796509B
Application number: CN201810879863.9A
Authority: CN
Inventors: 宋红叶; 高子喆; 严玉良; 黄恒; 刘晓钟
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2018-08-03
Filing date: 2018-08-03
Publication date: 2024-03-22
Anticipated expiration: 2038-08-03
Also published as: CN110796509A

Abstract

The invention discloses a commodity recommendation method and device. Wherein the method comprises the following steps: acquiring a destination of travel of a user; determining a type to which the destination belongs and an attribute tag of the destination, wherein the type comprises geographic characteristics of the destination, and the attribute tag comprises atmosphere and climate of the destination; determining commodities matched with the destination according to the type and attribute labels of the destination; and recommending the commodity to the user. The invention solves the technical problem of low experience of users using travel products caused by low pertinence of commodity recommendation in the related technology.

Description

Commodity recommendation method and device

Technical Field

The invention relates to the technical field of travel application, in particular to a commodity recommendation method and device.

Background

At present, most travel websites recommend related travel or travel-related lodging food to users, and most e-commerce websites recommend related commodities according to historical purchasing behaviors of users, for example, when recommending some commercial travel platforms, the related commodities are often recommended through lodging, food, tourist attractions and the like. However, the current various tourist platforms or websites do not recommend commodities related to the destination of the user, when the user goes out for tourist, the destination of the tourist has various types, for example, people select island-in-sea, people select snow mountain, and the like, so that when recommending commodities (such as food), recommendation unification exists, namely, no matter where the user goes for tourist, the recommended commodities are of the same type, and no adaptive recommendation is performed according to the destination of the user, thus the user is always caused to not know what needs to be prepared for the tourist at the destination, and also cannot know what should be purchased, the recommended commodities in the platform cannot be satisfied by the user, and the user can only know the commodities to be purchased after the user has reached the tourist destination, so that the post-knowledge of the user's tourist is caused, and the interest of using tourist products or using the tourist platform is reduced.

In view of the above problems, no effective solution has been proposed at present.

Disclosure of Invention

The embodiment of the invention provides a commodity recommending method and device, which at least solve the technical problem of low experience of a user using a travel product caused by low pertinence of commodity recommendation in the related technology.

According to an aspect of an embodiment of the present invention, there is provided a commodity recommendation method including: acquiring a destination of travel of a user; determining a type to which the destination belongs and an attribute tag of the destination, wherein the type comprises geographic characteristics of the destination, and the attribute tag comprises atmosphere and climate of the destination; determining a commodity matched with the destination according to the type of the destination and the attribute tag; recommending the commodity to the user.

According to another aspect of the embodiment of the present invention, there is also provided a commodity recommendation method, including: detecting purchase information for purchasing travel products; determining a destination of travel of a user according to the travel product; determining an article matching the destination, wherein the article matching the destination is determined according to a type of the destination and an attribute tag of the destination, the type comprises geographic features of the destination, and the attribute tag comprises atmosphere and climate of the destination; displaying the commodity so as to recommend the commodity to the user.

According to another aspect of the embodiment of the present invention, there is also provided a commodity recommendation device, including: the acquisition module is used for acquiring the destination of the travel of the user; a first determining module for determining a type to which the destination belongs and an attribute tag of the destination, the type including a geographic feature of the destination, the attribute tag including an atmosphere and a climate of the destination; a second determining module, configured to determine, according to the type of the destination and the attribute tag, a commodity that matches the destination; and the recommending module is used for recommending the commodity to the user.

According to the invention, the commodity recommendation can be carried out aiming at the travel destination of the user, the recommended content is matched with the travel place reached by the user, the user can select the commodity more conveniently, and the selected commodity is the commodity of interest to the user, namely, after the user purchases the travel related product, the system can automatically identify the destination, the commodity recommendation corresponding to the destination can be automatically realized, the recommendation accuracy is increased, and the click rate of the user is improved.

In addition, when recommending, the method and the system can divide the types of the destinations and the attribute tags in advance, divide the types of the commodities and the attribute tags, match the similarity according to the destination attributes, the types of the commodities, the types of the tags and the attribute tags of the commodities, determine the preset number of commodities meeting the characteristics of the destinations, scatter the preset number of commodities and recommend the commodities to a user. If the user selects the commodity, the commodity can be directly sent to the destination of the user travel.

In the embodiment of the invention, the destination of the user travel is obtained, then the type of the destination and the attribute label of the destination can be determined, the type comprises the geographic characteristics of the destination, the attribute label comprises atmosphere and climate of the destination, the commodity matched with the destination is determined according to the type of the destination and the attribute label, and finally the commodity can be recommended to the user. In the embodiment, the type of the destination and the attribute label of the destination can be determined according to the destination of the travel of the user, so that the commodity which is recommended by the destination can be determined, the commodity which is required by the user at the destination can be recommended to the user, the user can know the commodity which is required to be used at the destination in advance, the user can purchase the commodity according to the recommended commodity, the commodity at the travel destination can be known in advance, the user can purchase the commodity without urgent need of the travel, the concern of the user is reduced, the interest of the user in using the travel product is improved, and the technical problem that the experience of the user in using the travel product is low due to the fact that the pertinence of commodity recommendation in the related technology is not high is solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:

FIG. 1 is a block diagram showing a hardware configuration of a computer terminal for implementing a commodity recommendation method;

FIG. 2 is a schematic diagram of a mobile terminal for commodity recommendation according to a first embodiment of the present invention;

FIG. 3 is a flowchart of a commodity recommendation method according to a first embodiment of the present invention;

FIG. 4 is a flow chart of a method of obtaining a destination for a user's travel in accordance with a first embodiment of the present invention;

FIG. 5 is a flow chart of an alternative method of determining a good matching a destination in accordance with a first embodiment of the present invention;

FIG. 6 is a flow chart of an alternative method of determining relevance of a destination to a commodity to be selected in accordance with a first embodiment of the present invention;

FIG. 7 is a flow chart of a method of processing a user selected merchandise according to a first embodiment of the invention;

FIG. 8 is a flowchart of another merchandise recommendation method according to a first embodiment of the invention;

FIG. 9 is a schematic diagram of a merchandise recommendation apparatus according to an embodiment of the invention;

FIG. 10 is a schematic diagram of another alternative merchandise recommendation device according to an embodiment of the invention;

FIG. 11 is a block diagram of an alternative computer terminal according to an embodiment of the present invention;

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

First, partial terms or terminology appearing in describing embodiments of the present application are applicable to the following explanation:

a commodity list: a list of products (list) of suitable products recommended to the user.

Personalized recommendation: and generating thousands of commodity recommendations according to user preferences.

Destination attribute: the characteristics of the destination, such as the environmental characteristics of the destination and the necessary products for traveling.

Example 1

There is also provided, in accordance with an embodiment of the present invention, a method embodiment of merchandise recommendation, it being noted that the steps shown in the flowchart of the figures may be performed in a computer system, such as a set of computer executable instructions, and, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order other than that shown or described herein.

The method embodiment provided in the first embodiment of the present application may be executed in a mobile terminal, a computer terminal or a similar computing device. Fig. 1 shows a hardware block diagram of a computer terminal for implementing a commodity recommendation method. As shown in fig. 1, the computer terminal 10 (or mobile device 10) may include one or more processors 102 (shown as 102a, 102b, … …,102 n) which may include, but are not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA, a memory 104 for storing data, and a transmission module 106 for communication functions. In addition, the method may further include: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power supply, and/or a camera. It will be appreciated by those of ordinary skill in the art that the configuration shown in fig. 1 is merely illustrative and is not intended to limit the configuration of the electronic device described above. For example, the computer terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.

It should be noted that the one or more processors 102 and/or other data processing circuits described above may be referred to generally herein as "data processing circuits. The data processing circuit may be embodied in whole or in part in software, hardware, firmware, or any other combination. Furthermore, the data processing circuitry may be a single stand-alone processing module, or incorporated, in whole or in part, into any of the other elements in the computer terminal 10 (or mobile device). As referred to in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of the path of the variable resistor termination to interface).

The memory 104 may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the commodity recommendation method in the embodiment of the present invention, and the processor 102 executes the software programs and modules stored in the memory 104, thereby executing various functional applications and data processing, that is, implementing the vulnerability detection method of the application program. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission module 106 is used to receive or transmit data via a network. The specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission module 106 includes a network adapter (Network Interface Controller, NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission module 106 may be a Radio Frequency (RF) module for communicating with the internet wirelessly.

The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the computer terminal 10 (or mobile device).

It should be noted here that, in some embodiments, the computer terminal shown in fig. 1 described above may be a mobile device, which may have a touch display (also referred to as a "touch screen" or "touch display"). In some embodiments, the computer device (or mobile device) shown in fig. 1 has a Graphical User Interface (GUI) with which a user may interact with by making finger contacts and/or gesture contacts to a touch screen surface, where the human-machine interaction functions optionally include the following interactions: executable instructions for performing the above-described human-machine interaction functions, such as creating web pages, drawing, word processing, making electronic documents, games, video conferencing, instant messaging, sending and receiving electronic mail, talking interfaces, playing digital video, playing digital music, and/or web browsing, are configured/stored in a computer program product or readable storage medium executable by one or more processors.

Optionally, fig. 2 is a schematic diagram of a mobile terminal for recommending goods according to a first embodiment of the present invention, as shown in fig. 2, which may include: touch screen 112, contact strength sensor 165, tactile output generator 167, speaker 111, touch interface 200, optical sensor 210, proximity sensor 166, SIM card slot 210, headset interface 212, microphone 113, home key 204, accelerometer 168, and external port 124. The user may touch the touch screen 112 through a finger 202 or through a stylus 203 touching/clicking/pressing/sliding, etc., and the mobile terminal background may determine that the user selects a commodity according to the user's operation or determine a destination to which the user travels according to the content input by the user.

The touch screen 112 may be a capacitive touch screen, and determines content selected by a user according to a touch point of the user, where the touch screen may receive action information of the user, so as to obtain corresponding content. The contact intensity sensor 165 may be configured to detect an intensity value of a user touching the touch screen, and determine a contact position of the user and a touch target (e.g., a control in an application) according to the intensity value. The haptic output generator 167 may output haptic actions of the user, including outputting touch actions, gesture actions, etc. of the user.

Alternatively, the touch interface 200 corresponds to the area where the touch screen is located, and the touch interface may be an action interface of the user, for example, for a game, the mobile terminal can only react in the area where the touch interface is located. The optical sensor 210 may be a detection device for ambient light, or a dark interface. The proximity sensor 166 may detect that the user is approaching the mobile terminal. The SIM card can be accessed through the SIM card slot for subsequent communications, and the earphone device can be accessed through the earphone interface 212, and when needed, music, video and other sounds can be played through the interface 212.

In addition, for the microphone 113 below the mobile terminal shown in fig. 2, it may receive the voice information when the user is communicating, in this embodiment of the present invention, a voice input prompt control may be directly set on the interface of the travel application, after clicking the voice input prompt control, the user may directly speak, and the voice information is input to the background processor by using the microphone 113, so as to determine the commodity that the user wants to select. One key may be returned to the main interface of the touch interface through Home 204. The movement of the user or other speed calculator may be calculated by an accelerometer. Finally, for the external port 124 shown in fig. 2, it may be connected to an external port, such as a Type-C or USB interface, so as to directly connect to a computer or other terminals, thereby receiving related data or outputting related data.

Of course, the mobile terminal shown in fig. 2 may further include a camera, and when the user shoots his favorite commodity through the camera, the user may search for the destination commodity, so as to facilitate the user to determine whether to purchase his favorite commodity.

In the following embodiments of the present invention, a destination where a user wants to travel may be automatically identified through a travel product purchased by a user, then, based on the travel attribute of the destination, a commodity required by the destination may be analyzed, for example, a sunscreen cream is required for island and desert runs, a ski pole is required for snow mountain runs, and an off-road vehicle is required for grassland runs.

In the above-described operating environment, the present application provides a commodity recommendation method as shown in fig. 3. Fig. 3 is a flowchart of a commodity recommendation method according to a first embodiment of the present invention. As shown in fig. 3, the method comprises the steps of:

Step S301, a destination of the user' S travel is acquired.

In step S302, a type to which the destination belongs and an attribute tag of the destination are determined, the type including a geographical feature of the destination, the attribute tag including an atmosphere and a climate of the destination.

Step S303, determining the commodity matched with the destination according to the type and the attribute label of the destination.

Step S304, recommending the commodity to the user.

Through the steps, the destination of the user travel can be obtained first, then the type of the destination and the attribute label of the destination can be determined, the type comprises the geographic characteristics of the destination, the attribute label comprises atmosphere and climate of the destination, the commodity matched with the destination is determined according to the type and the attribute label of the destination, and finally the commodity can be recommended to the user. In the embodiment, the type of the destination and the attribute label of the destination can be determined according to the destination of the travel of the user, so that the commodity which is recommended by the destination can be determined, the commodity which is required by the user at the destination can be recommended to the user, the user can know the commodity which is required to be used at the destination in advance, the user can purchase the commodity according to the recommended commodity, the commodity at the travel destination can be known in advance, the user can purchase the commodity without urgent need of the travel, the concern of the user is reduced, the interest of the user in using the travel product is improved, and the technical problem that the experience of the user in using the travel product is low due to the fact that the pertinence of commodity recommendation in the related technology is not high is solved.

The steps of the present invention shown in fig. 3 described above will be described in detail. First, for step S301, the destination of the user' S travel is acquired. FIG. 4 is a flowchart of a method for obtaining a destination for a user's travel according to a first embodiment of the present invention, as shown in FIG. 4, the method comprising the steps of:

step S402, obtaining the travel product purchased by the user.

Wherein, the user can be each user who holds a terminal (mobile terminal or computer), the travel products purchased include but are not limited to: air tickets, hotels, scheduling, etc. When the tourist products purchased by the user are acquired, the tourist products purchased for reaching the destination in the terminal can be directly called, destination information in the tourist products can be read, such as the names of the destinations can be directly read for air tickets (airplane tickets, train tickets, bus tickets and the like), the destination information in front of the hotel can be read for the hotel, such as the seven-day holiday hotel for Jinan, and the destination can be determined to be Jinan.

Step S404, determining the destination of the travel of the user according to the travel product.

The destination to be reached by the user can be obtained through the travel product, and optionally, the destination in the embodiment of the invention is not limited in number, namely, the user can travel a zone in a period of time to reach a plurality of cities or a plurality of scenic spots, and each destination needs to be determined. If a user is traveling between 7 months 15 and 7 months 30 days at a plurality of attractions in Yunnan and Tibet, the user can determine that the destination comprises: kunming, mars, lijiang, xishuangbanna, lhasa, namuku, etc., all destinations within the time period may be determined when determining the destination, thereby preparing for subsequent determination of the destination's merchandise.

The destination according to the embodiment of the present invention is not limited to a specific type, and may be a geographic mark (such as a country, a city, a town, a county, etc.), or a specific scenic spot.

For step 302 described above, a type to which the destination belongs and an attribute tag for the destination are determined, the type comprising a geographic characteristic of the destination, the attribute tag comprising an atmosphere and a climate of the destination.

That is, after determining the destination to which the user travels, the type of destination is analyzed, which indicates the characteristics of the location of the user's travel, which may be pre-divided, including, but not limited to: island, desert, snow mountain, grassland, city, garden, riding, climbing, etc., e.g., the user's destination is a pray island, the type may be defined as island, e.g., the user's destination is a su state garden, the type may be defined as garden, e.g., the user's destination is a magnolia land, the type may be defined as grassland, e.g., the user's destination is a taishan, the type may be defined as climbing. For the attribute tag of the destination, the atmosphere and the climate of the destination may be indicated, and the atmosphere and the climate may be divided into each destination in advance or matched in advance, and the atmosphere and the climate of the destination may be known through query, where the atmosphere includes but is not limited to: passion, romantic, comfortable, broad, and hard. And for climates, it may include, but is not limited to: tropical, cold zone, subtropical zone, temperate zone continent, temperate zone monsoon, mediterranean, plateau, etc. After the destination is determined, atmosphere and climate of the destination can be directly defined, for example, after the destination is known to be the Prague island, the atmosphere can be defined as romantic, and the climate is tropical; after knowing that the destination is the allelbel grassland, it is possible to define its atmosphere as broad and its climate as temperate continental climate.

Optionally, in the embodiment of the present invention, the type of destination and the attribute label of the destination may be directly determined according to a classification model, where the classification model may be predefined and obtained by training, and the type and attribute label are pre-classified for each destination by determining a known travel destination. In addition, the embodiment of the invention can train the classification model so as to timely divide the type and attribute labels of the destination when the follow-up unknown destination appears.

For step S303, the commodity matching the destination is determined according to the type and attribute tag of the destination. In determining a destination-matched commodity, which may be determined by type and attribute tags, fig. 5 is a flowchart of an alternative method for determining a destination-matched commodity according to a first embodiment of the present invention, as shown in fig. 5, including the steps of:

step S502, classifying the plurality of goods to be selected into types by using the classification standard same as the destination, and labeling the plurality of goods to be selected with attribute tags by using the tag library same as the destination.

The classification criteria of the destination in the above steps may indicate the type of the destination, and when dividing the types of the commodities, different commodities may be divided into types corresponding to the destination. Because of diversity of commodities, the commodities need to be classified according to common types during classification, if the same commodity is applicable to two types of destinations, each destination can be recommended during recommendation, and commodity types include but are not limited to: island, desert, snow mountain, grassland, city, garden, riding, climbing, etc., such as alpenstock, which may be defined as climbing, such as sun cream, which may be defined as island and desert, such as commodity climbing shoes, which may be defined as snow mountain. The commodity type is not limited to the number of the defined types, and may be one type or two or more types, such as a tent, and the types may be defined as a grassland tour, a city tour, a riding tour, etc., and the types may be defined as various types because of the variety of the types used. For the attribute label of the commodity, the classification type and the classification standard can also be that the attribute label corresponds to the attribute label of the destination, namely the label attribute of the commodity corresponds to atmosphere and climate, such as mountain climbing shoes, the type of the attribute label is snow mountain tour, and the attribute label can be defined as passion atmosphere and plateau snow mountain climate.

Step S504, determining the correlation degree between the destination and the plurality of goods to be selected according to the type and the attribute label of the destination and the type and the attribute labels of the plurality of goods to be selected.

When the correlation is determined, the types of the two can be determined according to the type of the commodity and the type of the destination, and under the same type, the destination and the commodity with larger attribute tag similarity can be queried again. If the destination is the Prague island, the commodity on the sea island can be inquired, and the commodity with the attribute label being romantic and tropical is determined, so that the inquiry speed is improved when the relevance is determined.

Fig. 6 is a flowchart of an alternative method for determining the relevance of a destination to a commodity to be selected according to a first embodiment of the present invention, as shown in fig. 6, the method including the steps of:

in step S5041, the destination is vectorized according to the type and attribute label of the destination, and a first vector is obtained.

In the above steps, the destination may be vectorized according to the type and attribute tag of the destination, that is, the vector of the destination may be divided according to the set type and attribute tag of the destination.

Step S5043, vectorizing the plurality of goods to be selected according to the type and attribute labels of the goods to be selected, and obtaining a plurality of second vectors.

The step can be to vector the commodity, so that preparation can be made for the subsequent projection of the commodity to the vector space of the destination, and the correlation degree between the destination and a plurality of commodities to be selected is determined.

In step S5045, the relevance between the destination and the plurality of goods to be selected is determined according to the first vector and the plurality of second vectors.

The correlation degree of the destination and the plurality of commodities to be selected can be calculated by utilizing the commodities and the destination vectors, the commodities related to the destination are obtained, the correlation degree calculation is carried out on each commodity, the correlation degree indicates the relation between the destination and the commodities, and preparation is carried out for determining the commodities to be recommended later.

Alternatively, the correlation degree may be a scoring degree, and a specific value of the correlation degree is not particularly limited, for example, a value of any one of 1 to 10 is set.

And step S506, determining the commodity matched with the destination according to the correlation degree.

When determining the commodities matched with the destination, sorting can be performed according to the sequence from high to low of the correlation degree between the destination and the plurality of commodities to be selected; the top ranked predetermined number of items may then be selected as items matching the destination. The commodities can be ordered to select the commodities matched with the destination, and optionally, when a preset number of commodities in front of the ordering is selected as the commodities matched with the destination, the preset number, such as 30, can be set. The most suitable commodity for the destination is determined.

For step S304, the merchandise is recommended to the user. The method comprises the steps that the recommendation can be carried out through an interface where a travel application in the terminal is located, when the recommendation is carried out, a preset number of commodities which are ranked in front are selected to be commodities matched with a destination, the commodities are displayed on the terminal interface one by one, each commodity can have link information, and therefore after a user clicks the commodity, the commodity can directly enter a merchant selling shop, and the user can directly purchase the commodity.

Fig. 7 is a flowchart of a method for processing a user selected commodity according to a first embodiment of the present invention, and as shown in fig. 7, the method includes:

step S701, displaying a predetermined number of commodities.

Wherein displaying the predetermined number of items comprises: scattering a predetermined number of commodities in a sequence from high to low according to the correlation degree; displaying the predetermined number of commodities after the sequence is broken up. The method can break up the preset number of commodities and display the commodities at the interface positions of the terminal respectively, so that the situation that the commodities with the same quality are frequently recommended during display is avoided.

Step S703 of receiving a selection instruction for selecting a commodity from a predetermined number of commodities.

The selection instruction can be generated after the user selects the commodity, for example, after the terminal page displays a plurality of recommended commodities, the user can directly generate the selection instruction after clicking a certain commodity.

In step S705, in response to the selection instruction, order processing is performed on the selected commodity, wherein the mailing address of the order is the destination hotel where the user travels.

The mailing address of the order may not only include the hotel, but also be: the hotel, the express point and the commodity dispersion are low, so that after the user arrives at a certain place, the commodity is directly sent to the user, and the user can directly use the commodity which is the same as the destination.

Alternatively, when order processing is performed on the selected commodity, the time period from the ordering of the plurality of shops selling the commodity to the arrival of the commodity at the destination may be acquired first, and then the shop with the shortest time period may be selected from the plurality of shops, and order processing may be performed on the selected commodity. In the embodiment of the invention, the store with the shortest time length can be selected according to the time length of the order of the commodity, so that the store can be quickly sent to the destination.

Through the embodiment, the recommendation can be made according to the destination of the travel route of the user, the type and the attribute label of the destination are analyzed, then according to the type and the attribute label of the destination, the type and the attribute label of each commodity are determined in advance, the commodity with higher similarity between the commodity and the destination is determined, then the preset number of commodities can be recommended to the user for selection, if the user selects the commodity, the commodity can be automatically sent to the destination, and the commodity recommendation of the destination is more accurate. Based on the scheme, after the user purchases travel related travel, the destination can be automatically identified, the commodity related to the destination is automatically recommended, the recommendation accuracy is improved, the click rate of the user is improved, and the purpose that the user uses the product in the invention is also improved.

The invention is illustrated by an alternative method. Fig. 8 is a flowchart of another commodity recommendation method according to the first embodiment of the present invention, as shown in fig. 8, including the steps of:

in step S802, purchase information for purchasing a travel product is detected.

When detecting purchase information of a travel product, it may refer to detecting the travel product purchased by a user through a terminal, such as an air ticket, a hotel, etc., and after the user detects the submitted information, it may be determined that the user will reach a destination in the travel product.

Step S804, determining the destination of the travel of the user according to the travel product.

In step S806, determining an article matched with the destination, where the article matched with the destination is determined according to a type to which the destination belongs and an attribute tag of the destination, the type includes a geographic feature of the destination, and the attribute tag includes an atmosphere and a climate of the destination.

In the embodiment of the invention, after determining the destination to which the user travels, the type of the destination is analyzed, wherein the type indicates the characteristics of the location where the user travels, and the types can include but are not limited to: island travel, desert travel, snow mountain travel, grassland travel, city travel, garden travel, riding travel, climbing travel, and the like. While for the destination's property tags, the destination's atmosphere and climate may be indicated, including but not limited to: passion, romantic, comfortable, broad, and hard. And for climates, it may include, but is not limited to: tropical, cold zone, subtropical zone, temperate zone continent, temperate zone monsoon, mediterranean, plateau, etc. After the destination is determined, atmosphere and climate of the destination can be directly defined, for example, after the destination is known to be the Prague island, the atmosphere can be defined as romantic, and the climate is tropical; after knowing that the destination is the allelbel grassland, it is possible to define its atmosphere as broad and its climate as temperate continental climate.

Step S808, displaying the commodity so as to recommend the commodity to the user.

Through the steps, the submission information of the travel product can be detected firstly, then the destination of the travel of the user can be determined according to the travel product, and the commodity matched with the destination is determined, wherein the commodity matched with the destination is determined according to the type of the destination and the attribute label of the destination, the type comprises the geographic characteristics of the destination, the attribute label comprises the atmosphere and the climate of the destination, and finally the commodity can be displayed. In the embodiment, according to the travel product purchased by the user, the destination of the travel of the user and the type and attribute label of the destination to which the destination belongs can be analyzed, so that the recommended commodity corresponding to the destination is determined, the commodity required by the user at the destination is recommended to the user, the user can know the commodity belonging to the destination in advance, the user can know the commodity required to be used at the destination in advance, the user can purchase the product according to the recommended commodity, the user can know the commodity at the travel destination in advance, the user can purchase the product without urgent need during the travel, the concern of the user is reduced, the interest of the user in using the travel product is also improved, and the technical problem that the commodity recommendation pertinence in the related technology is not high, and the experience of the user in using the travel product is low is solved.

For the above step S808, when displaying the commodities, the commodities may be sorted according to the order of the correlation between the commodities and the destination from high to low, and then a predetermined number of commodities in front of the sorting may be determined, and the predetermined number of commodities may be displayed, wherein the displaying order of the commodities is an order in which the order of the correlation is broken up according to the order of the correlation from high to low.

Alternatively, in the embodiment of the present invention, the following implementation manner may be further implemented, where the implementation manner corresponds to the implementation steps shown in fig. 7.

11. Receiving a selection instruction for selecting a commodity from a predetermined number of commodities;

12. in response to the selection instruction, performing order processing on the selected commodity;

13. order information is displayed, wherein the mailing address of the order is the destination hotel in which the user travels.

It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present invention. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present invention.

From the above description of the embodiments, it will be clear to those skilled in the art that the commodity recommendation method according to the above embodiments may be implemented by means of software plus a necessary general hardware platform, and of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.

Example 2

According to an embodiment of the present invention, there is further provided a commodity recommendation apparatus for implementing the commodity recommendation method, and fig. 9 is a schematic diagram of a commodity recommendation apparatus according to an embodiment of the present invention, as shown in fig. 9, where the apparatus includes: the acquisition module 91, the first determination module 93, the second determination module 95, the recommendation module 97, wherein,

an acquisition module 91, configured to acquire a destination of travel of the user.

A first determining module 93, configured to determine a type to which the destination belongs and an attribute tag of the destination, where the type includes a geographic feature of the destination, and the attribute tag includes an atmosphere and a climate of the destination.

The second determining module 95 is configured to determine, according to the type and attribute tag of the destination, the commodity matching the destination.

A recommending module 97, configured to recommend the commodity to the user.

In the above commodity recommendation device, the destination of the user's travel may be obtained through the obtaining module 91, then the type of the destination and the attribute tag of the destination may be determined through the first determining module 93, the type includes the geographic feature of the destination, the attribute tag includes the atmosphere and the climate of the destination, the commodity matching with the destination may be determined through the second determining module 95 according to the type and the attribute tag of the destination, and finally the commodity may be recommended to the user through the recommending module 97. In the embodiment, the type of the destination and the attribute label of the destination can be determined according to the destination of the travel of the user, so that the commodity which is recommended by the destination can be determined, the commodity which is required by the user at the destination can be recommended to the user, the user can know the commodity which is required to be used at the destination in advance, the user can purchase the commodity according to the recommended commodity, the commodity at the travel destination can be known in advance, the user can purchase the commodity without urgent need of the travel, the concern of the user is reduced, the interest of the user in using the travel product is improved, and the technical problem that the experience of the user in using the travel product is low due to the fact that the pertinence of commodity recommendation in the related technology is not high is solved.

Optionally, the second determining module includes: the dividing unit is used for dividing types of the plurality of commodities to be selected by adopting the same classification standard as the destination and labeling attribute labels on the plurality of commodities to be selected by adopting a label library which is the same as the destination; the first determining unit is used for determining the relativity of the destination and the plurality of goods to be selected according to the type and attribute labels of the destination and the type and attribute labels of the plurality of goods to be selected; and the second determining unit is used for determining the commodity matched with the destination according to the correlation degree.

Alternatively, the first determining unit includes: the first vector subunit is used for vectorizing the destination according to the type and attribute label of the destination to obtain a first vector; the second vector subunit is used for vectorizing a plurality of commodities to be selected according to the types and attribute labels of the commodities to be selected to obtain a plurality of second vectors; and the first determining subunit is used for determining the relevance between the destination and the plurality of goods to be selected according to the first vector and the plurality of second vectors.

Optionally, the second determining unit includes: the sorting subunit is used for sorting according to the sequence from high to low of the correlation degree between the destination and the plurality of commodities to be selected; a selecting subunit for selecting a predetermined number of the articles ranked first as articles matching the destination.

In an alternative embodiment, the commodity recommendation device further includes: a display module for displaying a predetermined number of goods; a receiving module for receiving a selection instruction for selecting a commodity from a predetermined number of commodities; and the order module is used for responding to the selection instruction and executing order processing on the selected commodities, wherein the mailing address of the order is the destination hotel where the user travels.

Optionally, the display module includes: the scattering unit is used for scattering the preset number of commodities according to the sequence of the high-to-low ordering of the correlation degree; and the display unit is used for displaying the predetermined number of commodities after being scattered in sequence.

In another alternative embodiment, the order module includes: acquiring the time length from ordering to arrival of goods at a destination of a plurality of shops selling goods; selecting the store with the shortest duration from the stores, and executing order processing on the selected commodity.

Optionally, the acquiring module includes: the acquisition unit is used for acquiring the travel product purchased by the user; and the third determining unit is used for determining the destination of the travel of the user according to the travel product.

In addition, another commodity recommendation device is provided in the present invention, where the commodity recommendation device corresponds to the method steps shown in fig. 8, and fig. 10 is a schematic diagram of another alternative commodity recommendation device according to an embodiment of the present invention, and as shown in fig. 10, the device may include: a detection module 1001, a third determination module 1002, a fourth determination module 1003, a display module 1004, wherein,

The detection module 1001 is configured to detect purchase information for purchasing a travel product.

A third determining module 1002, configured to determine a destination of travel of the user according to the travel product;

a fourth determining module 1003, configured to determine an item matched with the destination, where the item matched with the destination is determined according to a type to which the destination belongs and an attribute tag of the destination, the type includes a geographic feature of the destination, and the attribute tag includes an atmosphere and a climate of the destination;

and a display module 1004 for displaying the commodity so as to recommend the commodity to the user.

By the above commodity recommending device, the submitting information of the travel product is detected by the detecting module 1001, then the destination of the travel of the user can be determined by the third determining module 1002 according to the travel product, and the commodity matched with the destination is determined by the fourth determining module 1003, wherein the commodity matched with the destination is determined according to the type of the destination and the attribute label of the destination, the type comprises the geographic characteristics of the destination, the attribute label comprises the atmosphere and the climate of the destination, and finally the recommended commodity can be displayed to the user by the displaying module 1004. In the embodiment, according to the travel product purchased by the user, the destination of the travel of the user and the type and attribute label of the destination to which the destination belongs can be analyzed, so that the recommended commodity corresponding to the destination is determined, the commodity required by the user at the destination is recommended to the user, the user can know the commodity belonging to the destination in advance, the user can know the commodity required to be used at the destination in advance, the user can purchase the product according to the recommended commodity, the user can know the commodity at the travel destination in advance, the user can purchase the product without urgent need during the travel, the concern of the user is reduced, the interest of the user in using the travel product is also improved, and the technical problem that the commodity recommendation pertinence in the related technology is not high, and the experience of the user in using the travel product is low is solved.

Optionally, the display module includes: the sorting subunit is used for sorting the commodities according to the sequence from high to low of the correlation degree between the commodities and the destination; a third determining subunit for determining a predetermined number of articles ordered first; and the first display subunit is used for displaying a predetermined number of commodities, wherein the display sequence of the commodities is the sequence after the sequence of the relevance from high to low is broken.

In addition, the commodity recommendation device may further include: a receiving subunit for receiving a selection instruction for selecting a commodity from a predetermined number of commodities; an order sub-unit for executing order processing on the selected commodity in response to the selection instruction; and the second display subunit is used for displaying order information, wherein the mailing address of the order is a hotel for traveling and living of the underground user.

Here, the acquiring module 91, the first determining module 93, the second determining module 95, and the recommending module 97 correspond to steps S301 to S304 in embodiment 1, and the detecting module 1001, the third determining module 1002, the fourth determining module 1003, and the displaying module 1004 correspond to steps S802 to S808 in embodiment 1, which are the same as examples and application scenarios implemented by the corresponding steps, but are not limited to those disclosed in embodiment 1. It should be noted that the above-described module may be operated as a part of the apparatus in the computer terminal 10 provided in embodiment 1.

Example 3

Embodiments of the present invention may provide a computer terminal, which may be any one of a group of computer terminals. Alternatively, in the present embodiment, the above-described computer terminal may be replaced with a terminal device such as a mobile terminal.

Alternatively, in this embodiment, the above-mentioned computer terminal may be located in at least one network device among a plurality of network devices of the computer network.

In this embodiment, the computer terminal may execute the program code for the following steps in the commodity recommendation method: acquiring a destination of travel of a user; determining a type to which the destination belongs and an attribute tag of the destination, wherein the type comprises geographic characteristics of the destination, and the attribute tag comprises atmosphere and climate of the destination; determining commodities matched with the destination according to the type and attribute labels of the destination; and recommending the commodity to the user.

Alternatively, fig. 11 is a block diagram of another alternative computer terminal according to an embodiment of the present invention. As shown in fig. 11, the computer terminal 100 may include: one or more (only one is shown) processors 102, memory 104, and peripheral interfaces, displays, and network modules.

The memory may be used to store software programs and modules, such as program instructions/modules corresponding to the commodity recommendation method and apparatus in the embodiments of the present invention, and the processor executes the software programs and modules stored in the memory, thereby executing various functional applications and data processing, that is, implementing the commodity recommendation method described above. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include memory remotely located with respect to the processor, which may be connected to the terminal 100 through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The processor may call the information and the application program stored in the memory through the transmission module to execute the following steps: acquiring a destination of travel of a user; determining a type to which the destination belongs and an attribute tag of the destination, wherein the type comprises geographic characteristics of the destination, and the attribute tag comprises atmosphere and climate of the destination; determining commodities matched with the destination according to the type and attribute labels of the destination; and recommending the commodity to the user.

Optionally, the above processor may further execute program code for: the method comprises the steps of adopting a classification standard identical to a destination to divide a plurality of goods to be selected into types, and adopting a tag library identical to the destination to tag attribute tags for the plurality of goods to be selected; determining the correlation degree of the destination and the plurality of goods to be selected according to the type and the attribute label of the destination and the type and the attribute labels of the plurality of goods to be selected; and determining the commodity matched with the destination according to the correlation degree.

Optionally, the above processor may further execute program code for: vectorizing the destination according to the type and attribute label of the destination to obtain a first vector; vectorizing a plurality of commodities to be selected according to the types and attribute labels of the commodities to be selected to obtain a plurality of second vectors; and determining the relevance of the destination and the plurality of goods to be selected according to the first vector and the plurality of second vectors.

Optionally, the above processor may further execute program code for: sorting according to the sequence from high to low of the correlation degree of the destination and the plurality of commodities to be selected; the first ordered predetermined number of items is selected as items matching the destination.

Optionally, the above processor may further execute program code for: displaying a predetermined number of goods; receiving a selection instruction for selecting a commodity from a predetermined number of commodities; in response to the selection instruction, order processing is performed on the selected merchandise, wherein the mailing address of the order is the destination hotel in which the user travels.

Optionally, the above processor may further execute program code for: scattering a predetermined number of commodities in a sequence from high to low according to the correlation degree; displaying the predetermined number of commodities after the sequence is broken up.

Optionally, the above processor may further execute program code for: acquiring the time length from ordering to arrival of goods at a destination of a plurality of shops selling goods; selecting the store with the shortest duration from the stores, and executing order processing on the selected commodity.

Optionally, the above processor may further execute program code for: acquiring a travel product purchased by a user; detecting purchase information for purchasing travel products; the destination of the user's travel is determined based on the travel product. The processor may also call the information and the application program stored in the memory through the transmission module to execute the following steps: determining a destination of travel of a user according to the travel product; determining an article matched with the destination, wherein the article matched with the destination is determined according to the type of the destination and an attribute tag of the destination, the type comprises geographic features of the destination, and the attribute tag comprises atmosphere and climate of the destination; displaying goods to recommend goods to user

Optionally, the above processor may further execute program code for: sorting the commodities according to the sequence of the correlation degree between the commodities and the destination from high to low; determining a predetermined number of top-ranked items; displaying a predetermined number of commodities, wherein the display order of the commodities is an order in which the order of the relevance is sorted from high to low.

Optionally, the above processor may further execute program code for: receiving a selection instruction for selecting a commodity from a predetermined number of commodities; in response to the selection instruction, performing order processing on the selected commodity; order information is displayed, wherein the mailing address of the order is the destination hotel in which the user travels.

By adopting the embodiment of the invention, the type of the destination and the attribute label of the destination are determined according to the destination of the travel of the user, so that the commodity which can be recommended by the destination is determined, the commodity which is required by the user at the destination is recommended to the user, the user can know the commodity which is required to be used at the destination in advance, the user can purchase the commodity according to the recommended commodity, the commodity at the travel destination is known in advance, the interest of the user in using the travel product is improved, and the technical problem of low experience of the user in using the travel product due to low pertinence of commodity recommendation in the related technology is solved.

It will be appreciated by those skilled in the art that the configuration shown in fig. 11 is only illustrative, and the computer terminal may be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a palm-phone computer, a mobile internet device (Mobile Internet Devices, MID), a PAD, etc. Fig. 11 is not limited to the structure of the electronic device. For example, the computer terminal 100 may further include more or less components (such as a transmission module, a display device, etc.) than those shown in fig. 11, or have a different configuration from that shown in fig. 11.

Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be implemented by a program for instructing a terminal device to execute in association with hardware, the program may be stored in a computer readable storage medium, and the storage medium may include: flash disk, read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), magnetic or optical disk, and the like.

Example 4

The embodiment of the invention also provides a storage medium. Alternatively, in this embodiment, the storage medium may be used to store the program code executed by the commodity recommendation method provided in the first embodiment.

Alternatively, in this embodiment, the storage medium may be located in any one of the computer terminals in the computer terminal group in the computer network, or in any one of the mobile terminals in the mobile terminal group.

Alternatively, in the present embodiment, the storage medium is configured to store program code for performing the steps of: acquiring a destination of travel of a user; determining a type to which the destination belongs and an attribute tag of the destination, wherein the type comprises geographic characteristics of the destination, and the attribute tag comprises atmosphere and climate of the destination; determining commodities matched with the destination according to the type and attribute labels of the destination; and recommending the commodity to the user.

The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, such as the division of the units, is merely a logical function division, and may be implemented in another manner, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.

Claims

1. A commodity recommendation method, comprising:

acquiring a destination which a user wants to travel;

determining a type to which the destination belongs and an attribute tag of the destination, wherein the type comprises geographic characteristics of the destination, and the attribute tag comprises atmosphere and climate of the destination;

determining a commodity matched with the destination according to the type of the destination and the attribute tag;

recommending the commodity to the user.

2. The method of claim 1, wherein determining an item matching the destination based on the type of the destination and the attribute tag comprises:

the classification standard same as the destination is adopted to divide a plurality of goods to be selected into types, and the label library same as the destination is adopted to label the plurality of goods to be selected with attribute labels;

Determining the correlation degree between the destination and the plurality of goods to be selected according to the type and the attribute label of the destination and the type and the attribute labels of the plurality of goods to be selected;

and determining the commodity matched with the destination according to the correlation degree.

3. The method of claim 2, wherein determining the relevance of the destination to the plurality of articles to be selected based on the type and attribute tags of the destination and the type and attribute tags of the plurality of articles to be selected comprises:

vectorizing the destination according to the type of the destination and the attribute tag to obtain a first vector;

vectorizing the plurality of commodities to be selected according to the types and attribute labels of the commodities to be selected to obtain a plurality of second vectors;

and determining the relevance of the destination and the plurality of goods to be selected according to the first vector and the plurality of second vectors.

4. A method according to claim 3, wherein determining the good matching the destination based on the relevance comprises:

sorting according to the sequence from high to low of the relativity of the destination and the plurality of commodities to be selected;

And selecting the goods with the preset number which are ranked first as the goods matched with the destination.

5. The method as recited in claim 4, further comprising:

displaying the predetermined number of items;

receiving a selection instruction for selecting a commodity from the preset number of commodities;

and responding to the selection instruction, and executing order processing on the selected commodity, wherein the mailing address of the order is the destination hotel where the user travels.

6. The method of claim 5, wherein displaying the predetermined number of items comprises:

scattering the predetermined number of commodities in order of high-to-low order according to the correlation degree;

displaying the predetermined number of commodities after the sequence is broken up.

7. The method of claim 6, wherein performing order processing on the selected merchandise comprises:

acquiring the time length from ordering of a plurality of shops selling the commodity to arrival of the commodity at the destination;

selecting the store with the shortest duration from the plurality of stores, and executing order processing on the selected commodity.

8. The method of any one of claims 1 to 7, wherein obtaining a destination for a user's travel comprises:

Acquiring the travel product purchased by the user;

and determining the destination of the travel of the user according to the travel product.

9. A commodity recommendation method, comprising:

detecting purchase information for purchasing travel products;

determining a destination to which the user wants to travel according to the travel product;

determining an article matching the destination, wherein the article matching the destination is determined according to a type of the destination and an attribute tag of the destination, the type comprises geographic features of the destination, and the attribute tag comprises atmosphere and climate of the destination;

displaying the commodity so as to recommend the commodity to the user.

10. The method of claim 9, wherein displaying the merchandise comprises:

sorting the commodities according to the sequence of the correlation degree between the commodities and the destination from high to low;

determining a predetermined number of top-ranked items;

and displaying the predetermined number of commodities, wherein the display order of the commodities is an order in which the order of the relevance is broken up according to the order of the high-to-low order.

11. The method as recited in claim 10, further comprising:

in response to the selection instruction, performing order processing on the selected commodity;

and displaying order information, wherein the mailing address of the order is the destination of the hotel in which the user travels.

12. A commodity recommendation device, comprising:

the acquisition module is used for acquiring a destination which the user wants to travel;

a first determining module for determining a type to which the destination belongs and an attribute tag of the destination, the type including a geographic feature of the destination, the attribute tag including an atmosphere and a climate of the destination;

a second determining module, configured to determine, according to the type of the destination and the attribute tag, a commodity that matches the destination;

and the recommending module is used for recommending the commodity to the user.

13. A storage medium comprising a stored program, wherein the program, when run, controls a device in which the storage medium is located to perform the commodity recommendation method according to any one of claims 1 to 11.

14. A processor for executing a program, wherein the program when executed performs the commodity recommendation method according to any one of claims 1 to 11.