WO2020024555A1 - 一种商品信息推送方法、相关装置及存储介质 - Google Patents
一种商品信息推送方法、相关装置及存储介质 Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- Embodiments of the present invention relate to the field of communications technologies, and in particular, to a method for pushing product information, a related device, and a storage medium.
- the user can access the shopping website through the Internet, issue a shopping request through an electronic order, and then send it to the user by mail after the electronic payment.
- the shopping website analyzes the shopping habits of the user according to the user's purchase history and recommends the product that the user is interested in to the user.
- the purpose of the embodiments of the present invention is to provide a method for pushing product information, a related device, and a storage medium, so that a product corresponding to a user ’s historical purchase record and the user ’s current location information is recommended to the product information suitable for the user, on the premise of accurate push The push range is wider.
- an embodiment of the present invention provides a method for pushing product information, including the following steps: acquiring product information purchased by the user history; establishing a first product information database according to the product information purchased by the user history; acquiring the user's current Location information; matching with the location database based on the user's current location information, and matching the matching result with the mall database to establish a second product information database; obtaining the third product to be pushed according to the first product information database and the second product information database Information base; pushing target product information to the user based on the third product information base.
- An embodiment of the present invention further provides a device for pushing product information, including: a first acquisition module for acquiring information on products purchased by a user in history; a first creation module module for establishing a first product based on information on products purchased by a user in history Commodity information database; a second acquisition module for acquiring the current location information of the user; a second creation module for matching the location database with the user's current location information, and matching the matching result with the mall database to establish a second commodity An information base; a third acquisition module for obtaining a third product information base to be pushed according to the first product information base and a second product information base; a pushing module for pushing target product information to a user based on the third product information base.
- An embodiment of the present invention further provides a server, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor.
- the processor executes to enable the at least one processor to execute the product information pushing method as described above.
- An embodiment of the present invention further provides a computer-readable storage medium storing a computer program, and the computer program implements the above-mentioned method for pushing product information when executed by a processor.
- the product information purchased by the user historically includes: information on the online product purchased by the user on the online shopping mall history and / or information on the offline product purchased by the user on the offline physical store history.
- the user's online purchase record and the user's offline purchase record are combined, so that the acquired user's historical purchase information is more comprehensive and can better reflect the user's shopping preferences.
- establishing the first product information database according to the product information purchased by the user history includes: determining the product category in the first product information database according to the online product information and / or offline product information; combining the online product information and / Or the offline product information is separately labeled, and the category to which the online product information and / or offline product information belongs is determined according to the calibrated label.
- a first product information database to be pushed is created according to the product information purchased by the user history, and the first product information database stores product information determined according to the shopping habits of the user.
- matching the current location information of the user with the location database and matching the matching result with the mall database to establish a second product information database specifically includes: matching the user's current location information with the location database to determine the user's current The product category and product name in the place corresponding to the location information, wherein the correspondence between the location information and the product category and product name in the place is pre-stored in the location database; the determined product name is matched with the mall database to obtain a second Product information in the product information database.
- a second commodity information database to be pushed is created according to the current location information of the user, and the second commodity information database stores commodity information determined according to the current location information of the user.
- obtaining the third commodity information database to be pushed according to the first commodity information database and the second commodity information database specifically includes: storing commodity information in the second commodity information database into the third commodity information database; determining the first The same commodity category in the commodity information database as in the second commodity information database, the commodity information in the first commodity information database corresponding to the determined commodity category is stored in the third commodity information database; the third commodity information database is stored The product information in the target product information.
- a third product information database to be pushed is constructed by combining the user's shopping habits and the products corresponding to the user's current location, which expands the product information suitable for recommendation to the user.
- pushing the target product information to the user based on the third product information database specifically includes: sorting the target product information in the third product information database according to attributes; and pushing the sorted target product information to the user.
- the target product information in the third product information database is sorted according to attributes, so that the recommendation effect is more ideal.
- pushing the sorted products to the user specifically includes: pushing the sorted target product information to the user in a rolling push manner.
- the embodiment of the present invention establishes a first product information database according to the product information purchased by the user ’s history, matches the user ’s current location information with the location database, and matches the matching result with the mall database to establish a second Commodity information database, combining the first commodity information database and the second commodity information database to obtain the third commodity information database to be pushed, thereby combining the user's historical purchase records and the user's current location information to recommend the product information to the user more extensively , The recommendations are more accurate, improving the user experience.
- FIG. 1 is a flowchart of a method for pushing product information in a first embodiment of the present application
- FIG. 2 is a flowchart of a method for pushing product information in a second embodiment of the present application
- FIG. 3 is a schematic block diagram of a product information pushing device in a third embodiment of the present application.
- FIG. 4 is a schematic block diagram of a product information pushing device in a fourth embodiment of the present application.
- FIG. 5 is a schematic structural diagram of pushing product information in a fifth embodiment of the present application.
- a first embodiment of the present invention relates to a method for pushing product information.
- the specific process is shown in Figure 1, and includes the following steps:
- Step 101 Obtain product information of a user's historical purchase.
- the product information purchased by the user historically includes the online product information purchased by the user online in the mall history and the offline product information purchased by the user in the offline physical store history.
- the online purchase information of historical purchases can be obtained directly from the user's consumption records in the mall database, and the offline purchase information of historical purchases can be obtained from the consumption records when users pay through the client.
- step 102 a first commodity information database is established according to the commodity information purchased by the user history.
- the product categories in the first product information database are determined according to the online product information and the offline product information.
- the number of product categories in the first product information database is not limited to one, and may include multiple types.
- the specific number of product categories in a product information database may be determined according to the information of the product information purchased by the user history purchase. Therefore, the specific number of product categories in the first product information database is not limited in this embodiment.
- Label the online product information and / or offline product information separately that is, the specific name of the product information.
- For product information including address, sales volume and customer evaluation you can specifically mark the specific label of the product as "American Coffee ". Therefore, it is possible to determine that the product category to which the product information belongs is coffee through the label" American coffee ".
- the name of the online product information or / or offline product information is determined by means of label calibration, so that the category to which the online product information and / or offline product information belongs is determined according to the calibrated label.
- a product category in the first product information database may be determined according to online product information and / or offline product information, where the category may include tops, bottoms, bread, coffee, and the like. Label each online product information and / or offline product information. Each online product information and / or offline product information corresponds to a label. Online product information and / or online can be determined based on the labeled label. Download the category to which the product information belongs. For example, for a certain online product information label is American coffee, you can classify this online product information under the category to which the coffee belongs; for a certain offline product information label as a skirt, you can The online product information is classified under the category to which the download belongs.
- Step 103 Acquire the current location information of the user.
- the user's current location information for example, through the client (such as WeChat public account), through the terminal's Global Positioning System (Global Positioning System (GPS) or the user ’s current location information through various means such as the consumer ’s current payment records using the terminal.
- the client such as WeChat public account
- GPS Global Positioning System
- the user ’s current location information through various means such as the consumer ’s current payment records using the terminal.
- step 104 a location database is matched according to the current location information of the user, and the matching result is matched with the mall database to establish a second commodity information database.
- the user's current location information is matched with a known location database to determine the product category and product name in the place corresponding to the current location information, where the location database and the product category in the place are pre-stored in the location database and Correspondence between product names.
- the determined product name is matched with the mall database to obtain the product information in the second product information database.
- the location database pre-stores the correspondence between the location information, the location type, the product category in the location, and the product name.
- the product category and the product name in the place corresponding to the location cannot be obtained from the location database according to the user's current location information, it indicates that the relevant information of the place corresponding to the user's current location information is not stored in the location database.
- the terminal will send an instruction to the server to determine that the match has failed.
- the server will send an instruction to the database maintainer. Instructs the database content to be modified to save the corresponding relationship between the user's current location information and the type of place, the category of goods in the place, and the name of the goods into the location database.
- the current location information of the user is obtained at 39 ° 9′N and 116 ° 3′E
- the current location information of the user is matched with the location database, and it is determined that the user's current location information is stored in the location database.
- the place corresponding to the current location information, and when it is determined that the place is a consumer place such as a coffee shop, the category of the place and the name of the place are obtained from the location database. For example, the category of the place in the place is coffee For latte and mocha.
- the mall database Match the determined product name with the mall database, and extract the product information in the mall database that is similar to the determined product name, for example, all the latte product information contained in the mall database and all Mocha's
- the product information is extracted and stored in the second product information database.
- the second database it is also possible to obtain the product information related to the attributes of the place from the mall database based on the attributes of the place. For example, if it is determined that the place is a coffee shop, the information contained in the mall database Attribute-related product information, such as coffee cup product information, is extracted and stored in the second product information database, thereby further expanding the push range on the premise of accurate push.
- product name in this embodiment also includes the specific brand and specific type of the product, and the general name of the product is not limited in this embodiment.
- the location data in the embodiment of the present application includes not only the type of the place corresponding to the location, but also the product information corresponding to the place. Because the goods in the place are updated in real time, the data in the location database is also updated in real time. For specific update methods, manual entry can be used to update. Of course, in this embodiment, other update methods can also be used to update The data in the location database is updated. Because how to update the location database is not the focus of this application, it will not be described in this embodiment.
- step 105 a third product information database to be pushed is obtained according to the first product information database and the second product information database.
- the commodity information in the second commodity information database is stored in the third commodity information database.
- Determine the same product category in the first product information database as in the second product information database store the product information in the first product information database corresponding to the determined product category in the third product information database, and store the product information in the third product information database.
- the commodity information in the three commodity information database is used as the target commodity information.
- the commodity information in the second commodity information database is commodity information suitable for recommendation to the user, which is determined according to the current location information of the user. Because the current position information of the user is determined, the type of the product in the second product information database determined for the current position information of the user is uniquely determined.
- the commodity categories in the first commodity information database are coffee and the commodity categories in the first commodity information database are coffee and
- the online product information or offline product information whose names have been determined by labeling is stored in a third product information database.
- the online commodity information labeled as American coffee in the first commodity information database is stored in the third commodity information database, thereby determining the target commodity information in the third commodity information database. Therefore, when determining the target product information in the third product information database, both the current location information of the user and the historical purchase record of the user are considered.
- step 106 the target product information is pushed to the user based on the third product information database.
- the method for pushing product information establishes a first product information database based on the product information purchased by the user ’s history, matches the user ’s current location information with the location database, and matches the result with the mall database Perform matching to establish a second product information database, and obtain a third product information database to be pushed according to the first product information database and the second product information database, thereby combining the user's historical purchase record and the user's current location information to recommend the appropriate product
- the user's product information is more extensive, and the recommendations are more accurate, which improves the user experience.
- a second embodiment of the present invention relates to a method for pushing product information.
- This embodiment is further improved on the basis of the first embodiment, and the specific improvement is as follows:
- the method of pushing the target product information to the user based on the third product information database is specifically described.
- the flow of the method for pushing product information in this embodiment is shown in FIG. 2.
- steps 201 to 207 are included, where steps 201 to 205 are substantially the same as steps 101 to 105 in the first embodiment, and are not repeated here.
- steps 201 to 205 are substantially the same as steps 101 to 105 in the first embodiment, and are not repeated here.
- the following mainly describes the differences.
- For technical details that are not described in detail in this embodiment refer to the method for pushing product information provided in the first embodiment, which will not be repeated here.
- step 206 is performed.
- step 206 the target commodity information in the third commodity information database is arranged according to attributes.
- the attributes in this embodiment include price, and the target product information in the third product information database is arranged in order from low to high, so that when making a recommendation, the user will first see that the price is relatively low.
- Target product information, and target product information with a relatively low purchase price also conforms to the user's buying habits. Therefore, sorting target product information in the order of low to high price will get better recommendation results and a better user experience.
- step 207 the sorted target product information is pushed to the user.
- the sorted target product information when the sorted target product information is pushed to the user, the sorted target product information is specifically pushed to the user in a rolling push manner, thereby avoiding the situation where the user does not check in time when the target product information is pushed only once. To the message and caused an invalid push.
- the sorted target product information can also be pushed to the user by means of short message sending, so that the sorted product information can be viewed at any time when the user has time.
- a first product information database is established according to the product information purchased by the user's history provided in this embodiment, the current location information is matched with the location database, and the matching result is matched with the mall database to establish a second
- the commodity information database obtains a third commodity information database to be pushed according to the first commodity information database and the second commodity information database, thereby combining commodity corresponding to the user ’s historical purchase record and the user ’s current location information to recommend product information suitable for the user.
- the push range is wider, which improves the user experience.
- the target product information in the third product information database can be sorted according to attributes, and the sorted target product information is pushed to the user, so that the pushed product information is more in line with the user's needs, further improving the user Experience.
- the third embodiment of the present invention relates to a product information pushing device, and the specific structure is shown in FIG. 3.
- the product information pushing device includes a first obtaining module 301, a first creating module 302, a second obtaining module 303, a second creating module 304, a third obtaining module 305, and a pushing module 306:
- the first obtaining module 301 is configured to obtain information about products purchased by a user in history.
- the first creating module 302 is configured to establish a first commodity information database according to the commodity information purchased by the user history.
- the second obtaining module 303 is configured to obtain current location information of the user.
- the second creating module 304 is configured to match the location database with the current location information of the user, and match the matching result with the mall database to establish a second commodity information database.
- the third obtaining module 305 is configured to obtain a third commodity information database to be pushed according to the first commodity information database and the second commodity information database.
- the pushing module 306 is configured to push the target product information to the user based on the third product information database.
- this embodiment is a device example corresponding to the first embodiment, and this embodiment can be implemented in cooperation with the first embodiment. Relevant technical details mentioned in the first embodiment are still valid in this embodiment, and in order to reduce repetition, details are not repeated here. Accordingly, the related technical details mentioned in this embodiment can also be applied in the first embodiment.
- the fourth embodiment of the present invention relates to a product information pushing device.
- This embodiment is substantially the same as the third embodiment, and a specific structure is shown in FIG. 4.
- the main improvement lies in that the fourth embodiment specifically describes the structure of the push module in the third embodiment.
- the push module 306 specifically includes a sorting sub-module 3061 and a push sub-module 3062.
- the sorting submodule 3061 is configured to sort the target commodity information in the third commodity information database according to attributes.
- the push submodule 3062 is configured to push the sorted target product information to the user.
- this embodiment is a device example corresponding to the second embodiment, and this embodiment can be implemented in cooperation with the second embodiment. Relevant technical details mentioned in the second embodiment are still valid in this embodiment, and in order to reduce repetition, details are not repeated here. Accordingly, the related technical details mentioned in this embodiment can also be applied in the second embodiment.
- each module involved in this embodiment is a logic module.
- a logical unit may be a physical unit, or a part of a physical unit, and may also be a plurality of physical units. Combined implementation of units.
- no unit that is not closely related to solving the technical problem proposed by the present invention is introduced, but this does not mean that there are no other units in this embodiment.
- a fifth embodiment of the present invention relates to a server, as shown in FIG. 5, including at least one processor 501; and a memory 502 communicatively connected to the at least one processor 501; wherein the memory 502 stores at least one processor
- the instructions executed by 501 are executed by at least one processor 501, so that at least one processor 501 can execute the method for pushing product information in the foregoing embodiment.
- the processor 501 is a central processing unit (Central Processing Unit). Unit (CPU) is taken as an example, and memory 502 is a read-write memory (Random Access Memory, RAM) as an example.
- the processor 501 and the memory 502 may be connected through a bus or in other manners. In FIG. 5, the connection through the bus is taken as an example.
- the memory 502 is a non-volatile computer-readable storage medium, and can be used to store non-volatile software programs, non-volatile computer executable programs, and modules.
- the program for implementing the method for pushing product information in the embodiment of the present application is Stored in the memory 502.
- the processor 501 executes various functional applications and data processing of the device by running non-volatile software programs, instructions, and modules stored in the memory 502, that is, the above-mentioned method for pushing product information.
- the memory 502 may include a storage program area and a storage data area, where the storage program area may store an operating system and an application program required for at least one function; the storage data area may store a list of options and the like.
- the memory may include a high-speed random access memory, and may further include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage device.
- the memory 502 may optionally include a memory remotely set relative to the processor 501, and these remote memories may be connected to an external device through a network. Examples of the above network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
- One or more program modules are stored in the memory 502, and when executed by one or more processors 501, perform the method for pushing product information in any of the above method embodiments.
- the sixth embodiment of the present application relates to a computer-readable storage medium.
- a computer program is stored in the computer-readable storage medium.
- the computer program When executed by a processor, it can implement product information push involved in any method embodiment of the present invention. method.
- the program is stored in a storage medium and includes several instructions to make a device (which can be (Single chip microcomputer, chip, etc.) or a processor (processor) executes all or part of the steps of the method described in each embodiment of the present application.
- the aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks and other media that can store program codes .
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Abstract
本发明实施例涉及通信技术领域，公开了一种商品信息推送方法、相关装置及存储介质。本发明中，通过获取用户历史购买的商品信息；根据用户历史购买的商品信息建立第一商品信息库；获取用户当前的位置信息；根据用户当前的位置信息与位置数据库进行匹配，并将匹配结果与商城数据库进行匹配建立第二商品信息库；根据第一商品信息库与第二商品信息库获得待推送的第三商品信息库；基于第三商品信息库向用户推送目标商品信息。从而结合用户的历史购买记录和用户的当前位置信息对应的商品推荐给用户的商品信息更广泛，推荐也更精准，提升了用户体验。
Description
本申请要求在2018年07月31日提交中国专利局、申请号为201810858544.X、发明名称为“一种商品信息推送方法、相关装置及存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
本发明实施例涉及通信技术领域，特别涉及一种商品信息推送方法、相关装置及存储介质。
随着电子商务的不断发展，越来越多的用户通过网络进行购物。在通过网络进行购物时，用户可以通过互联网访问购物网站，通过电子订单发出购物请求，然后通过电子支付后，由商家通过邮寄的方式邮寄至用户手中。并且，用户在购物网站上购买商品时，购物网站会根据用户的购买历史记录，分析用户的购物习惯，并将用户感兴趣的商品推荐给用户。
发明人发现现有技术中至少存在如下问题：现有技术中仅根据用户的的购买历史记录，确定用户的购物习惯，并根据用户的购物习惯为用户推送商品，采用这种方式为用户进行精确推送时，不仅推送方式单一并且推送给适合用户的商品信息范围也比较小。
本发明实施方式的目的在于提供一种商品信息推送方法、相关装置及存储介质，使得结合用户的历史购买记录和用户的当前位置信息对应的商品推荐给适合用户的商品信息，在精准推送的前提下推送范围更广。
为解决上述技术问题，本发明的实施方式提供了一种商品信息推送方法，包括以下步骤：获取用户历史购买的商品信息；根据用户历史购买的商品信息建立第一商品信息库；获取用户当前的位置信息；根据用户当前的位置信息与位置数据库进行匹配，并将匹配结果与商城数据库进行匹配建立第二商品信息库；根据第一商品信息库与第二商品信息库获得待推送的第三商品信息库；基于第三商品信息库向用户推送目标商品信息。
本发明的实施方式还提供了一种商品信息推送装置，包括：第一获取模块，用于获取用户历史购买的商品信息；第一创建模块模块，用于根据用户历史购买的商品信息建立第一商品信息库；第二获取模块，用于获取用户当前的位置信息；第二创建模块，用于根据用户当前的位置信息与位置数据库进行匹配，并将匹配结果与商城数据库进行匹配建立第二商品信息库；第三获取模块，用于根据第一商品信息库与第二商品信息库获得待推送的第三商品信息库；推送模块，用于基于第三商品信息库向用户推送目标商品信息。
本发明的实施方式还提供了一种服务器，包括：至少一个处理器；以及，与至少一个处理器通信连接的存储器；其中，存储器存储有可被至少一个处理器执行的指令，指令被至少一个处理器执行，以使至少一个处理器能够执行如上的商品信息推送方法。
本发明的实施方式还提供了一种计算机可读存储介质，存储有计算机程序，计算机程序被处理器执行时实现如上的商品信息推送方法。
优选的，用户历史购买的商品信息，包括：用户在线上商城历史购买的线上商品信息和/或用户在线下实体店历史购买的线下商品信息。
在获取用户历史购买的商品信息时，结合用户的线上购买记录和用户的线下购买记录两方面，从而获取的用户历史购买的商品信息更加全面，更能体现用户的购物喜好。
优选的，根据用户历史购买的商品信息建立第一商品信息库，具体包括：根据线上商品信息和/或线下商品信息确定第一商品信息库中的商品类别；将线上商品信息和/或线下商品信息分别进行标签标定，根据标定的标签确定线上商品信息和/或线下商品信息所属的类别。
根据用户历史购买的商品信息创建待推送的第一商品信息库，第一商品信息库中存储的是根据用户的购物习惯而确定的商品信息。
优选的，根据用户当前的位置信息与位置数据库进行匹配，并将匹配结果与商城数据库进行匹配建立第二商品信息库，具体包括：将用户的当前位置信息与位置数据库进行匹配，确定用户当前的位置信息所对应场所中的商品类别以及商品名称，其中，所述位置数据库中预存了位置信息与场所中的商品类别以及商品名称的对应关系；将确定的商品名称与商城数据库进行匹配获得第二商品信息库中的商品信息。
根据用户当前位置信息创建待推送的第二商品信息库，第二商品信息库中存储了根据用户当前的位置信息所确定的商品信息。
优选的，根据第一商品信息库与第二商品信息库获得待推送的第三商品信息库，具体包括：将第二商品信息库中的商品信息存储到第三商品信息库中；确定第一商品信息库中与第二商品信息库中相同的商品类别，将确定的商品类别下所对应第一商品信息库中的商品信息存储在第三商品信息库中；将存储在第三商品信息库中的商品信息作为目标商品信息。结合用户的购物习惯和用户的当前位置对应的商品两方面构建出待推送的第三商品信息库，扩展了适合推荐给用户的商品信息。
优选的，基于第三商品信息库向用户推送目标商品信息，具体包括：将第三商品信息库中的目标商品信息按照属性进行排序；将排序后的目标商品信息推送给用户。将第三商品信息库中的目标商品信息按照属性进行排序，使推荐效果更加理想。
优选的，将排序后的商品推送给用户，具体包括：采用滚动推送的方式将排序后的目标商品信息推送给用户。
本发明实施方式相对于现有技术而言，根据用户历史购买的商品信息建立第一商品信息库，根据用户当前的位置信息与位置数据库进行匹配，并将匹配结果与商城数据库进行匹配建立第二商品信息库，结合第一商品信息库与第二商品信息库获得待推送的第三商品信息库，从而结合用户的历史购买记录和用户的当前位置信息对应的商品推荐给用户的商品信息更广泛，推荐也更精准，提升了用户体验。
一个或多个实施例通过与之对应的附图中的图片进行示例性说明，这些示例性说明并不构成对实施例的限定，附图中具有相同参考数字标号的元件表示为类似的元件，除非有特别申明，附图中的图不构成比例限制。
图1是本申请第一实施例中商品信息推送方法的流程图；
图2是本申请第二实施例中商品信息推送方法的流程图；
图3是本申请第三实施例中商品信息推送装置的方框示意图；
图4是本申请第四实施例中商品信息推送装置的方框示意图；
图5是本申请第五实施例中商品信息推送的结构示意图。
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合附图对本发明的各实施方式进行详细的阐述。然而，本领域的普通技术人员可以理解，在本发明各实施方式中，为了使读者更好地理解本申请而提出了许多技术细节。但是，即使没有这些技术细节和基于以下各实施方式的种种变化和修改，也可以实现本申请所要求保护的技术方案。
本发明的第一实施方式涉及一种商品信息推送方法。具体流程如图1所示，包括以下步骤：
步骤101，获取用户历史购买的商品信息。
具体的说，在本实施例中，用户历史购买的商品信息包括：用户在线上商城历史购买的线上商品信息和用户在线下实体店历史购买的线下商品信息。
其中，对于历史购买的线上商品信息可以直接从用户在商城数据库中的消费记录进行获取，对于历史购买的线下商品信息，则可以根据用户通过客户端支付时，从消费记录中进行获取。
步骤102，根据用户历史购买的商品信息建立第一商品信息库。
具体的说，根据线上商品信息和线下商品信息确定第一商品信息库中的商品类别，当然，第一商品信息库中的商品类别的数量不局限于一个，还可以包括多种，第一商品信息库中的商品类别的具体数量，可以根据获取的用户历史购买的商品信息的情况进行确定。因此，本实施方式中并不限定第一商品信息库中的商品类别的具体数量。将线上商品信息和/或线下商品信息分别进行标签标定，即标定商品信息的具体名称，如对于包含地址、销售量和顾客评价的商品信息，可以具体标定该商品的具体标签为“美式咖啡”，因此，通过标定的标签“美式咖啡”可以确定该商品信息属于的商品类别是咖啡。通过标签标定的方式确定线上商品信息或/或线下商品信息的名称，从而根据标定的标签确定线上商品信息和/或线下商品信息所属的类别。
在一个具体实现中，根据线上商品信息和/或线下商品信息可以确定第一商品信息库中的商品类别，其中，类别可以包括上装、下装、面包、咖啡等。对每一个线上商品信息和/或线下商品信息进行标签标定，每一个线上商品信息和/或线下商品信息分别对应一个标签，根据标定的标签可以确定线上商品信息和/或线下商品信息所属的类别。例如对某一个线上商品信息所标定的标签为美式咖啡，则可以将该线上商品信息归类到咖啡所属的类别下；对某一个线下商品信息所标定的标签为短裙，则可以将该线上商品信息归类到下装所属的类别下。
步骤103，获取用户当前的位置信息。
具体的说，获取用户的当前位置信息的方式包括多种方式，例如，通过客户端（如微信公众号）、通过终端的全球定位系统（Global
Positioning System，GPS）或通过用户当前利用终端进行支付的消费记录等多种方式来获取用户的当前位置信息。
在步骤104中，根据用户当前的位置信息与位置数据库进行匹配，并将匹配结果与商城数据库进行匹配建立第二商品信息库。
具体的说，将用户的当前位置信息与已知的位置数据库进行匹配，确定当前位置信息所对应场所中的商品类别以及商品名称，其中，位置数据库中预存了位置信息与场所中的商品类别以及商品名称的对应关系。将确定的商品名称与商城数据库进行匹配获得第二商品信息库中的商品信息。
其中，位置数据库中预存了位置信息与场所类型、场所中的商品类别以及商品名称的对应关系。当根据用户的当前位置信息不能从位置数据库中进行匹配获得该位置所对应场所中的商品类别以及商品名称时，说明该用户的当前位置信息所对应场所的相关信息未保存在位置数据库中。此时，如果未匹配成功终端会向服务器发送指令确定匹配失败，此时服务器会向数据库维护方发送指令。指示修改数据库内容，从而将该用户的当前位置信息与场所类型、场所中的商品类别以及商品名称的对应关系保存到位置数据库中。
在一个具体实现中，获取到用户的当前位置信息为北纬39°9′，东经116°3′，则将该用户的当前位置信息与位置数据库进行匹配，确定在位置数据库中保存了该用户的当前位置信息所对应的场所，并在确定该场所为一个消费场所如咖啡店时，则从位置数据库中获取该场所的商品类别以及商品名称，例如，该场所中的商品类别为咖啡，商品名称为拿铁和摩卡。将确定的商品名称与商城数据库进行匹配，将商城数据库中有的并且与确定的商品名称相似的商品信息提取出来，例如，将商城数据库中的所包含的所有拿铁的商品信息以及所有摩卡的商品信息提取出来，并保存在第二商品信息库中。当然，对于第二数据库的建立，还可以基于场所的属性，从商城数据库中获取与场所属性相关的商品信息，例如，若确定该场所为咖啡厅，则可以将商城数据库中包含的与咖啡厅属性相关的商品信息如咖啡杯的商品信息提取出来，并保存在第二商品信息库中，从而在精准推送的前提下进一步扩大了推送范围。
需要说明的是，本实施方式中的商品名称还包括商品的具体品牌以及具体类型，本实施方式中并不限定商品的通用名称。
需要说明的是，本申请实施例的位置数据中不仅包含了位置所对应的场所类型，同时还包含了该场所中所对应的商品信息。由于场所中的商品是实时更新的，所以位置数据库中的数据也是会实时更新的，对于具体的更新方式可以采用人工录入的方式进行更新，当然，本实施方式中还可以采用其它的更新方式对位置数据库中的数据进行更新，由于如何对位置数据库进行更新并不是本申请的重点，所以本实施方式中不再进行赘述。
在步骤105中，根据第一商品信息库与第二商品信息库获得待推送的第三商品信息库。
具体的说，将第二商品信息库中的商品信息存储到第三商品信息库中。确定第一商品信息库中与第二商品信息库中相同的商品类别，将确定的商品类别下所对应的第一商品信息库中的商品信息存储在第三商品信息库中，将存储在第三商品信息库中的商品信息作为目标商品信息。
需要说明的是，第二商品信息库中的商品信息是根据用户当前的位置信息确定出的适合推荐给用户的商品信息。因为用户当前的位置信息是确定的，所以针对用户当前的位置信息所确定的第二商品信息库中的商品种类是唯一确定的。
根据实施例，如果第二商品信息库确定的商品类别为咖啡，第一商品信息库中包含的商品类别包括上装、下装、面包和咖啡，则将第一商品信息库中商品类别为咖啡并进行过标签标定已确定名称的线上商品信息或线下商品信息存储在第三商品信息库中。如将第一商品信息库中标签标定为美式咖啡的线上商品信息存储在第三商品信息库中，从而确定出第三商品信息库中的目标商品信息。因此，在确定第三商品信息库中的目标商品信息时，既集合了用户当前的位置信息同时又考虑到了用户历史购买记录两方面因素。
在步骤106中，基于第三商品信息库向用户推送目标商品信息。
与现有技术相比，本实施方式提供的商品信息推送方法，根据用户历史购买的商品信息建立第一商品信息库，根据用户当前的位置信息与位置数据库进行匹配，并将匹配结果与商城数据库进行匹配建立第二商品信息库，根据第一商品信息库与第二商品信息库获得待推送的第三商品信息库，从而结合用户的历史购买记录和用户的当前位置信息对应的商品推荐给适合用户的商品信息更广泛，推荐也更精准，提升了用户体验。
本发明的第二实施方式涉及一种商品信息推送方法。本实施例在第一实施例的基础上做了进一步改进，具体改进之处为：对基于第三商品信息库向用户推送目标商品信息的方式进行了具体描述。本实施例中的商品信息推送方法的流程如图2所示。具体的说，在本实施例中，包括步骤201至步骤207，其中步骤201至步骤205与第一实施方式中的步骤101至步骤105大致相同，此处不再赘述，下面主要介绍不同之处，未在本实施方式中详尽描述的技术细节，可参见第一实施例所提供的商品信息推送方法，此处不再赘述。
在步骤201至步骤205之后，执行步骤206。
在步骤206中，将第三商品信息库中的目标商品信息按照属性进行排列。
具体的说，本实施方式中的属性包括价格，将第三商品信息库中的目标商品信息按照价格由低到高的顺序进行排列，这样在进行推荐时，用户会首先看到价格比较低的目标商品信息，并且购买价格比较低的目标商品信息也符合用户的购买习惯，因此按照价格由低到高的顺序对目标商品信息进行排序，会得到更好的推荐效果，用户体验佳。
在步骤207中，将排序后的目标商品信息推送给用户。
具体的说，在将排序后的目标商品信息推送给用户时，具体采用滚动推送的方式将排序后的目标商品信息推送给用户，从而避免了在只推送一次的情况下，由于用户未及时查看到消息而造成无效推送的情况发生。当然在进行推送时还可以采用短信发送的方式将排序后的目标商品信息推送给用户，从而在用户有时间的情况下可以随时对排序后的商品信息进行查看。
与现有技术相比，本实施方式提供的根据用户历史购买的商品信息建立第一商品信息库，根据用户当前的位置信息与位置数据库进行匹配，并将匹配结果与商城数据库进行匹配建立第二商品信息库，根据第一商品信息库与第二商品信息库获得待推送的第三商品信息库，从而结合用户的历史购买记录和用户的当前位置信息对应的商品推荐给适合用户的商品信息，在精准推送的前提下推送范围更广泛，从而提升了用户体验。并且在进行推送时，可以将第三商品信息库中的目标商品信息按照属性进行排序，并将排序后的目标商品信息推送给用户，从而推送的商品信息更加符合用户的需求，进一步提升了用户体验。
上面各种方法的步骤划分，只是为了描述清楚，实现时可以合并为一个步骤或者对某些步骤进行拆分，分解为多个步骤，只要包括相同的逻辑关系，都在本专利的保护范围内；对算法中或者流程中添加无关紧要的修改或者引入无关紧要的设计，但不改变其算法和流程的核心设计都在该专利的保护范围内。
本发明第三实施方式涉及一种商品信息推送装置，具体结构如如图3所示。
如图3所示，商品信息推送装置包括第一获取模块301、第一创建模块302、第二获取模块303、第二创建模块304、第三获取模块305和推送模块306：
其中，第一获取模块301，用于获取用户历史购买的商品信息。
第一创建模块302，用于根据用户历史购买的商品信息建立第一商品信息库。
第二获取模块303，用于获取用户当前的位置信息。
第二创建模块304，用于根据用户当前的位置信息与位置数据库进行匹配，并将匹配结果与商城数据库进行匹配建立第二商品信息库。
第三获取模块305，用于根据第一商品信息库与第二商品信息库获得待推送的第三商品信息库。
推送模块306，用于基于第三商品信息库向用户推送目标商品信息。
不难发现，本实施方式为与第一实施方式相对应的装置实施例，本实施方式可与第一实施方式互相配合实施。第一实施方式中提到的相关技术细节在本实施方式中依然有效，为了减少重复，这里不再赘述。相应地，本实施方式中提到的相关技术细节也可应用在第一实施方式中。
本发明第四实施方式涉及一种商品信息推送装置。该实施方式与第三实施方式大致相同，具体结构如图4所示。其中，主要改进之处在于：第四实施方式对第三实施方式中的推送模块的结构进行了具体描述。
其中，推送模块306具体包括排序子模块3061和推送子模块3062
排序子模块3061，用于将第三商品信息库中的目标商品信息按照属性进行排序。
推送子模块3062，用于将排序后的目标商品信息推送给用户。
不难发现，本实施方式为与第二实施方式相对应的装置实施例，本实施方式可与第二实施方式互相配合实施。第二实施方式中提到的相关技术细节在本实施方式中依然有效，为了减少重复，这里不再赘述。相应地，本实施方式中提到的相关技术细节也可应用在第二实施方式中。
值得一提的是，本实施方式中所涉及到的各模块均为逻辑模块，在实际应用中，一个逻辑单元可以是一个物理单元，也可以是一个物理单元的一部分，还可以以多个物理单元的组合实现。此外，为了突出本发明的创新部分，本实施方式中并没有将与解决本发明所提出的技术问题关系不太密切的单元引入，但这并不表明本实施方式中不存在其它的单元。
本发明第五实施方式涉及一种服务器，如图5所示，包括至少一个处理器501；以及，与至少一个处理器501通信连接的存储器502；其中，存储器502存储有可被至少一个处理器501执行的指令，指令被至少一个处理器501执行，以使至少一个处理器501能够执行上述实施例中的商品信息推送方法。
本实施例中，处理器501以中央处理器（Central Processing
Unit，CPU）为例，存储器502以可读写存储器（Random Access Memory，RAM）为例。处理器501、存储器502可以通过总线或者其他方式连接，图5中以通过总线连接为例。存储器502作为一种非易失性计算机可读存储介质，可用于存储非易失性软件程序、非易失性计算机可执行程序以及模块，如本申请实施例中实现商品信息推送方法的程序就存储于存储器502中。处理器501通过运行存储在存储器502中的非易失性软件程序、指令以及模块，从而执行设备的各种功能应用以及数据处理，即实现上述商品信息推送方法。
存储器502可以包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需要的应用程序；存储数据区可存储选项列表等。此外，存储器可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。在一些实施例中，存储器502可选包括相对于处理器501远程设置的存储器，这些远程存储器可以通过网络连接至外接设备。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
一个或者多个程序模块存储在存储器502中，当被一个或者多个处理器501执行时，执行上述任意方法实施例中的商品信息推送方法。
上述产品可执行本申请实施例所提供的方法，具备执行方法相应的功能模块和有益效果，未在本实施例中详尽描述的技术细节，可参见本申请实施例所提供的方法。
本申请的第六实施方式涉及一种计算机可读存储介质，该计算机可读存储介质中存储有计算机程序，该计算机程序被处理器执行时能够实现本发明任意方法实施例中涉及的商品信息推送方法。
本领域技术人员可以理解，实现上述实施例方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，该程序存储在一个存储介质中，包括若干指令用以使得一个设备（可以是单片机，芯片等）或处理器（processor）执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器（ROM，Read-Only Memory）、随机存取存储器（RAM，Random Access Memory）、磁碟或者光盘等各种可以存储程序代码的介质。
本领域的普通技术人员可以理解，上述各实施方式是实现本发明的具体实施例，而在实际应用中，可以在形式上和细节上对其作各种改变，而不偏离本发明的精神和范围。
Claims (10)
- 一种商品信息推送方法，其特征在于，包括：获取用户历史购买的商品信息；根据所述用户历史购买的商品信息建立第一商品信息库；获取所述用户当前的位置信息；根据所述用户当前的位置信息与位置数据库进行匹配，并将匹配结果与商城数据库进行匹配建立第二商品信息库；根据所述第一商品信息库与所述第二商品信息库获得待推送的第三商品信息库；基于所述第三商品信息库向用户推送目标商品信息。
- 根据权利要求1所述的商品信息推送方法，其特征在于，所述用户历史购买的商品信息，包括：用户在线上商城历史购买的线上商品信息和/或所述用户在线下实体店历史购买的线下商品信息。
- 根据权利要求2所述的商品信息推送方法，其特征在于，所述根据所述用户历史购买的商品信息建立第一商品信息库，具体包括：根据所述线上商品信息和/或所述线下商品信息确定所述第一商品信息库中的商品类别；将所述线上商品信息和/或所述线下商品信息分别进行标签标定，根据标定的标签确定所述线上商品信息和/或所述线下商品信息所属的类别。
- 根据权利要求3所述的商品信息推送方法，其特征在于，所述根据所述用户当前的位置信息与位置数据库进行匹配，并将匹配结果与商城数据库进行匹配建立第二商品信息库，具体包括：将所述用户当前的位置信息与位置数据库进行匹配，确定所述用户当前的位置信息所对应场所中的商品类别以及商品名称，其中，所述位置数据库中预存了位置信息与所述场所中的所述商品类别以及所述商品名称的对应关系；将确定的所述商品名称与所述商城数据库进行匹配获得所述第二商品信息库中的商品信息。
- 根据权利要求4所述的商品信息推送方法，其特征在于，所述根据所述第一商品信息库与所述第二商品信息库获得待推送的第三商品信息库，具体包括：将所述第二商品信息库中的商品信息存储到所述第三商品信息库中；确定所述第一商品信息库中与所述第二商品信息库中相同的商品类别，将确定的商品类别下所对应的所述第一商品信息库中的商品信息存储在所述第三商品信息库中；将存储在所述第三商品信息库中的商品信息作为所述目标商品信息。
- 根据权利要求5所述的商品信息推送方法，其特征在于，所述基于所述第三商品信息库向用户推送目标商品信息，具体包括：将所述第三商品信息库中的目标商品信息按照属性进行排序；将排序后的所述目标商品信息推送给所述用户。
- 根据权利要求6所述的商品信息推送方法，其特征在于，所述将排序后的所述目标商品信息推送给所述用户，具体包括：采用滚动推送的方式将排序后的所述目标商品信息推送给所述用户。
- 一种商品信息推送装置，其特征在于，包括：第一获取模块，用于获取用户历史购买的商品信息；第一创建模块，用于根据所述用户历史购买的商品信息建立第一商品信息库；第二获取模块，用于获取所述用户当前的位置信息；第二创建模块，用于根据所述用户当前的位置信息与位置数据库进行匹配，并将匹配结果与商城数据库进行匹配建立第二商品信息库；第三获取模块，用于根据所述第一商品信息库与所述第二商品信息库获得待推送的第三商品信息库；推送模块，用于基于所述第三商品信息库向用户推送目标商品信息。
- 一种服务器，其特征在于，包括至少一个处理器；以及，与所述至少一个处理器通信连接的存储器；其中，所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行如权利要求1至7任一项所述的商品信息推送方法。
- 一种计算机可读存储介质，存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现权利要求1至7任一项所述的商品信息推送方法。
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