CN112396380A - Method and device for regularly sending articles, computer equipment and storage medium - Google Patents

Abstract

The present disclosure provides a method of periodically delivering an article. The method comprises the following steps: acquiring the consumption frequency of articles purchased by a user account with personal attributes within a preset time period; and when the consumption frequency of the articles is greater than the preset frequency, determining that the articles are regularly delivered articles, and delivering the regularly delivered articles according to the order information of the user. The present disclosure also provides a periodic delivery device of an article, a computer apparatus, and a computer-readable storage medium.

Description

Method and device for regularly sending articles, computer equipment and storage medium

Technical Field

The present disclosure relates to the field of warehouse logistics, and more particularly, to a method and an apparatus for periodically delivering articles, a computer device, and a storage medium.

Background

With the rapid development of the e-commerce industry, people can choose to purchase needed articles when the e-commerce promotes activities greatly, wherein the purchase demand of daily fast-moving products is particularly outstanding. The e-commerce platform generally sets a plurality of activity policies such as preferential benefits for daily fast-moving products, so that more preferential benefits can be enjoyed while the purchase demand of users for the daily fast-moving products is met.

In implementing the disclosed concept, the inventors found that there are at least the following problems in the related art: for the user who takes the family as the unit, a plurality of articles can be purchased at one time so as to meet the daily requirements of a plurality of people. However, for a user who lives in a single person, the user does not need to purchase an excessive amount of articles at a time, and thus cannot enjoy the preferential event.

Disclosure of Invention

In view of the above, the present disclosure provides a method and an apparatus for periodically sending an item, which are capable of setting an item meeting the needs of an individual user as a periodically sent item, and periodically sending a plurality of items purchased by the individual user to provide convenience for the user to purchase the items.

One aspect of the present disclosure provides a method of periodically delivering an item, comprising:

according to the embodiment of the disclosure, the consumption frequency of articles purchased by a user account with personal attributes in a preset time period is acquired; and when the consumption frequency of the articles is greater than the preset frequency, determining that the articles are regularly delivered articles, and delivering the regularly delivered articles according to the order information of the user.

According to an embodiment of the disclosure, the acquiring a consumption frequency of items purchased by a user account with personal attributes within a preset time period includes: counting the purchase time and the purchase quantity of all the same items purchased in a preset time period; respectively comparing the time of purchasing the same articles twice to obtain a plurality of time differences; respectively calculating the ratio of the time difference to the previous purchase quantity to obtain the purchase frequency of a plurality of articles with single quantity; and calculating the average value of the purchase frequency of a plurality of single-quantity articles to obtain the consumption frequency of the articles.

According to the embodiment of the disclosure, before the acquiring of the consumption frequency of the items purchased by the user account with the personal attributes in the preset time period, the attributes of the user account are identified, wherein the attributes comprise personal attributes and family attributes.

According to an embodiment of the present disclosure, the identifying an attribute of a user account includes: acquiring all receiving addresses of a plurality of user accounts and receivers corresponding to the receiving addresses; judging whether the plurality of user accounts have the same receiving address; if the plurality of user accounts have the same receiving address, judging whether the consignees corresponding to the same receiving address of the plurality of user accounts are the same; and if the consignees corresponding to the same consignee addresses of the user accounts are different, the user accounts have personal attributes.

According to an embodiment of the present disclosure, the identifying an attribute of the user account further includes: acquiring all receiving addresses of a single user account and receivers corresponding to the receiving addresses; judging whether the single user account has the same receiving address or not; if the single user account has the same receiving address, judging whether the consignees corresponding to the same receiving address of the single user account are the same; and if the consignees corresponding to the same consignee address of the single user account are different, the single user account has the family attribute.

According to an embodiment of the present disclosure, the identifying an account attribute of a user further includes: determining the similarity between the items purchased by the user account with unknown attributes and the items purchased by the user account with personal attributes, and determining the similarity between the items purchased by the user account with unknown attributes and the items purchased by the user account with family attributes; when the similarity between the user account with unknown attribute and the item purchased by the user account with personal attribute is smaller than the similarity between the user account with unknown attribute and the item purchased by the user account with family attribute, the user account with unknown attribute has personal attribute.

According to an embodiment of the present disclosure, the method for periodically delivering articles further includes that the length, volume and weight of the periodically delivered articles satisfy preset ranges.

According to an embodiment of the present disclosure, the delivering the periodically delivered items according to the order information of the user includes: acquiring the number of periodic sending cycles and the number of periodic sending articles in order information; judging whether the periodic sending period is 1 or not; if the periodic delivery cycle number is 1, carrying out ordinary distribution on the periodic delivery articles; and if the periodic delivery cycle number is greater than 1, performing periodic delivery according to the cycle number and the quantity of the articles.

Another aspect of the present disclosure provides a periodic delivery device for an article, comprising: the acquisition module is used for acquiring the consumption frequency of articles purchased by a user account with personal attributes within a preset time period; the determining module is used for determining that the articles are regularly delivered articles when the consumption frequency of the articles is greater than the preset frequency, and delivering the regularly delivered articles according to order information of a user.

Another aspect of the disclosure provides a computer program comprising computer executable instructions for implementing the method as described above when executed.

Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions for implementing the method as described above when executed.

According to the embodiment of the disclosure, because the technical means of selecting the articles with the periodic latent delivery quality based on the consumption frequency of the articles purchased by the user account with the personal attribute and increasing the range of the periodic article delivery pool is adopted, the technical problem that the user with the personal attribute cannot enjoy the article benefit because excessive purchase is not needed is at least partially overcome, and the technical effect that the user with the personal attribute can enjoy the article benefit and simultaneously meet the actual shopping requirement of the user is achieved.

Drawings

The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates an exemplary system architecture to which the periodic delivery method and apparatus of the articles of the present disclosure may be applied;

FIG. 2 schematically illustrates a flow chart of a method of periodic delivery of an item according to an embodiment of the disclosure;

FIG. 3A schematically illustrates a flow chart of a method of obtaining consumption frequency of an item according to an embodiment of the present disclosure;

FIG. 3B schematically shows a flow diagram of a method of identifying attributes of a user account according to an embodiment of the disclosure;

FIG. 3C schematically illustrates a flow diagram of a method of identifying attributes of a user account according to another embodiment of the present disclosure;

FIG. 3D schematically illustrates a flow diagram of a method of identifying attributes of a user account according to another embodiment of the present disclosure;

FIG. 3E schematically illustrates a flow chart of a method of delivering the periodically delivered items, according to an embodiment of the present disclosure;

FIG. 4 schematically illustrates a block diagram of a periodic feed of articles according to an embodiment of the disclosure;

FIG. 5A schematically illustrates a block diagram of an acquisition module according to an embodiment of the disclosure;

FIG. 5B schematically illustrates a block diagram of a periodic feed device of articles according to another embodiment of the present disclosure;

FIG. 5C schematically illustrates a block diagram of an identification module according to an embodiment of the disclosure;

FIG. 5D schematically illustrates a block diagram of an identification module according to another embodiment of the present disclosure;

FIG. 5E schematically illustrates a block diagram of an identification module according to another embodiment of the present disclosure; and

FIG. 6 schematically illustrates a block diagram of a computer device suitable for implementing a method and apparatus for periodic delivery of items, in accordance with an embodiment of the disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a convention analogous to "A, B or at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B or C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

Embodiments of the present disclosure provide a periodic feeding method of an article for periodic delivery of the article and an apparatus capable of implementing the periodic feeding method of the article. The method comprises the steps of obtaining the consumption frequency of articles purchased by a user account with personal attributes within a preset time period; and when the consumption frequency of the articles is greater than the preset frequency, determining that the articles are regularly delivered articles, and delivering the regularly delivered articles according to the order information of the user.

Fig. 1 schematically illustrates an exemplary system architecture 100 for a method and apparatus for periodic delivery of items to which the present disclosure may be applied, according to an embodiment of the present disclosure. It should be noted that fig. 1 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.

As shown in fig. 1, the system architecture 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired and/or wireless communication links, and so forth.

The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have installed thereon various communication client applications, such as a shopping-like application, a web browser application, a search-like application, an instant messaging tool, a mailbox client, and/or social platform software, etc. (by way of example only).

The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the terminal devices 101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that the method for periodically sending the article provided by the embodiment of the present disclosure may be generally performed by the server 105. Accordingly, the periodic feeding of items provided by embodiments of the present disclosure may generally be located in the server 105. The method for periodically sending an item provided by the embodiments of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the periodic article sending device provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Alternatively, the method for periodically sending the article provided by the embodiment of the present disclosure may also be executed by the terminal device 101, 102, or 103, or may also be executed by another terminal device different from the terminal device 101, 102, or 103. Accordingly, the periodic article sending device provided by the embodiment of the present disclosure may also be disposed in the terminal device 101, 102, or 103, or in another terminal device different from the terminal device 101, 102, or 103.

For example, the information related to the user account may be originally stored in any one of the terminal devices 101, 102, or 103 (for example, but not limited to, the terminal device 101), or may be stored on an external storage device and may be imported into the terminal device 101. Then, the terminal device 101 may locally execute the method for realizing the periodic sending of the article based on the related information of the user account with the personal attribute provided in the embodiment of the present disclosure, or send the related information of the user account to another terminal device, server, or server cluster, and execute the method for realizing the periodic sending of the article based on the related information of the user account with the personal attribute provided in the embodiment of the present disclosure by another terminal device, server, or server cluster that receives the related information of the user account.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

FIG. 2 schematically illustrates a flow chart of a method of periodic delivery of an item according to an embodiment of the disclosure.

As shown in fig. 2, the method includes operations S201 to S202.

In operation S201, a consumption frequency of items purchased by a user account having a personal attribute within a preset time period is acquired.

In operation S202, when the consumption frequency of the article is greater than the preset frequency, it is determined that the article is a periodically delivered article, so as to deliver the periodically delivered article according to the order information of the user.

In the disclosed embodiment, since the user having personal attributes has a limited demand for the number of daily quick-wear items by himself, there is a limitation in the kinds and the number of items in purchase. According to the actual requirements of users with personal attributes, specific articles are provided for specific groups of people so as to meet the actual requirements of the users. The selected preset time period may be to acquire shopping information of the user within one year, for example, to count a history of the laundry detergent purchased by the user with personal attributes within one year time to obtain the consumption frequency of the laundry detergent by the user. When the consumption frequency is greater than the preset value, for example, the consumption frequency of the laundry detergent by a single user is calculated to exceed 1 kg/month, the system may judge that the user with personal attributes has a certain periodic demand for the article, and may set the article as a periodic delivery article. Meanwhile, the length, volume and weight of the periodically delivered items satisfy the preset range, for example, when the weight and volume of laundry detergent purchased by the user are too large, the user is reluctant to select to purchase a plurality of items at a time due to inconvenience in storing and carrying the items by the user, and thus such an inconvenient item to store and carry is set as the periodic item, and the merchant platform may periodically deliver an appropriate amount of the item to the user to satisfy the real demand of the user having personal attributes. The preset frequency of the article and the length, volume and weight of the article satisfy the preset range, and those skilled in the art can set the frequency according to the actual requirement, and the embodiment of the disclosure does not limit this, but only exemplifies it.

The method shown in fig. 2 is further described with reference to fig. 3A-3E in conjunction with specific embodiments.

Fig. 3A schematically illustrates a flow chart of a method of obtaining consumption frequency of an item according to an embodiment of the present disclosure.

As shown in fig. 3A, acquiring a consumption frequency of an item purchased by a user account with a personal attribute within a preset time period includes:

operation S301, counting the purchase time and the purchase quantity of all the same items purchased within a preset time period;

operation S302, comparing the time for purchasing the same item twice, respectively, to obtain a plurality of time differences;

operation S303, respectively calculating ratios of the time difference to the previous purchase quantity to obtain purchase frequencies of a plurality of articles in singular; and

in operation S304, an average value of the purchase frequency of a plurality of single quantity items is calculated, and the consumption frequency of the items is obtained.

In the embodiment of the present disclosure, for the same item purchased by the user account having the personal attribute, the purchase time and the purchase amount for purchasing the same item are counted. When the user makes a second purchase of the item, the difference between the second purchase time and the first purchase time may be considered as the consumption time of the item by the user. And calculating the consumption frequency of the user for the single item according to the quantity of the items purchased each time. Specifically, a ratio of a consumption time to the number of items purchased last time is taken as a consumption frequency of the single item by the user. Assuming that the user purchases the item for a plurality of times in one year, a plurality of consumption times of the item and consumption frequencies of a plurality of singular items can be obtained through statistics, and finally, average consumption frequencies of the singular items can be obtained.

It should be noted that, in the actual statistical process, the statistical objects are a large number of user accounts with personal attributes, historical shopping records of all known user accounts with personal attributes in different preset time periods are obtained, statistical calculation is performed on the consumption frequency of the same type of articles, the shopping records of multiple users are taken as the calculation basis, the statistical range is expanded, and the accuracy of the calculation result is improved.

According to the embodiment of the disclosure, the actual purchase demand of a user with personal attributes on a certain class of articles is statistically obtained on the basis of the historical purchase records of all known user accounts with personal attributes, and the merchant platform can provide purchasing and distribution services in a targeted manner according to the actual purchase demand, so that an article pool for regularly delivering articles is expanded, more regular delivery choices meeting the actual demand are provided for the user, and the problem of accumulating excessive articles at one time when the user purchases a plurality of articles in a single order to enjoy discount is avoided.

Fig. 3B schematically illustrates a flowchart of a method of identifying attributes of a user account according to an embodiment of the present disclosure.

In the embodiment of the disclosure, before the obtaining of the consumption frequency of the items purchased by the user account with the personal attribute in the preset time period, attributes identifying the user account are included, where the attributes include a personal attribute and a family attribute. The user with personal attribute may specifically be a user living by a single person, such as an ungraded user living alone, and the user with family attribute may be a user living by multiple persons, such as a user living together with married family members. For users with family attributes, the demand for daily fast-moving goods is obviously more visible than users with personal attributes because of the lives of multiple persons. When the electric article table carries out a great discount of a plurality of discounts, a user with a family property can more easily choose to purchase a plurality of articles to enjoy the discount. However, for the user having personal attribute, since the frequency of the consumable supply for the item is much less than that of the user having family attribute, there is a problem of stocking an excessive amount of items by purchasing a plurality of items at a time, and therefore, the user having personal attribute must not give up purchasing a plurality of items for offering. Through the embodiment, the users with the personal attributes are identified, and targeted delivery service is provided so as to meet the actual requirements of the users with the personal attributes.

As shown in fig. 3B, identifying attributes of the user account includes:

operation S305, acquiring all the receiving addresses of the multiple user accounts and the consignees corresponding to the receiving addresses;

operation S306, determining whether the user accounts have the same receiving address, and if the user accounts have the same receiving address, performing operation S307;

operation S307, determining whether the consignees corresponding to the same consignee address of the multiple user accounts are the same;

in operation S308, if the recipients corresponding to the same receiving addresses of the multiple user accounts are different, the multiple user accounts have personal attributes.

In the embodiment of the disclosure, receiving information of a plurality of users is obtained, wherein the receiving information comprises receiving addresses and receivers corresponding to the receiving addresses. When a plurality of user accounts are identified and obtained to have the same receiving address, whether the consignees corresponding to the same receiving address are the same or not is judged, and if the consignees corresponding to the same receiving address are different, the user accounts are considered to have personal attributes. For example, if receiving information with receiving addresses of a cell a is identified and obtained for a plurality of user accounts and the receivers corresponding to the cell a in the plurality of receiving information are all determined to be different, it may be considered that the plurality of users are only different users living in the same cell, and the plurality of users have no relationship with each other, and it may be considered that the plurality of users have personal attributes.

Fig. 3C schematically illustrates a flowchart of a method of identifying attributes of a user account according to another embodiment of the present disclosure. As shown in fig. 3C, identifying attributes of the user account further includes:

operation S309, acquiring all the receiving addresses of the single user account and the consignees corresponding to the receiving addresses;

operation S310, determining whether a single user account has the same receiving address, and if the single user account has the same receiving address, performing operation S311;

operation S311, determining whether the consignees corresponding to the same consignee address of the single user account are the same;

in operation S312, if the consignees corresponding to the same consignee address of the single user account are different, the single user account has a family attribute.

In the embodiment of the disclosure, the receiving information of a single user is obtained, and the receiving information includes a receiving address and a receiver corresponding to the receiving address. When receiving information that a single user account has a plurality of same receiving addresses is identified and obtained, whether the receivers corresponding to the same receiving addresses are the same or not is judged, and if the receivers corresponding to the same receiving addresses are different, the user accounts are considered to have family attributes. For example, if a plurality of receiving information items having a receiving address as an a cell address of a single user account are identified and obtained, and a receiver corresponding to the a cell address in the plurality of receiving information items is determined to be different, it may be considered that different receivers in the single user account are family members living together, for example, in the receiving information item of a single user account, the receiving addresses are all the a cell addresses, and the corresponding receivers are the self, or a partner, or a child, or a parent, and it is considered that the single user has a personal attribute.

Fig. 3D schematically illustrates a flow chart of a method of identifying attributes of a user account according to another embodiment of the present disclosure. As shown in fig. 3D, identifying attributes of the user account further includes:

operation S313, determining a similarity between an item purchased by the user account with unknown attributes and an item purchased by the user account with personal attributes, and determining a similarity between an item purchased by the user account with unknown attributes and an item purchased by the user account with family attributes;

in operation S314, when the similarity between the user account with unknown attribute and the item purchased by the user account with personal attribute is smaller than the similarity between the user account with unknown attribute and the item purchased by the user account with family attribute, the user account with unknown attribute has personal attribute.

In the embodiment of the disclosure, the attribute of the unknown attribute user is determined by judging the shopping similarity between the unknown attribute user and the known attribute user. The embodiment of the disclosure provides a method for calculating similarity: the method comprises the steps of obtaining three types of users, namely a user account with unknown attributes, a user account with personal attributes and a user account with family attributes, purchasing the top50 articles with the largest amount in the last year, and calculating the similarity of the purchased top50 articles.

Specifically, the account a is a user account with unknown attributes, the account B is a user account with family attributes, and the account C is a user account with personal attributes. Data samples corresponding to the top50 items corresponding to the user A are (A1: Num _ a1, A2: Num _ a2, … and A50: Num _ a50), data samples corresponding to the top50 items corresponding to the user B are (B1: Num _ B1, B2: Num _ B2, … and B50: Num _ B50), data samples corresponding to the top50 items corresponding to the user C are (C1: Num _ C1, C2: Num _ C2, … and C50: Num _ C50), the same items purchased from the top50 items of the A and the B are defined as intersection items N, and different items are defined as items M which are not in the intersection. The distance between the users A and B is calculated by the following specific method: summing the absolute values of the quantity difference purchased by the users A and B for each item in the aggregate item N, then adding the sum of the quantity of purchased items in M, and then dividing the sum by the sum of the quantity of purchased items N and M to obtain the similarity of the users A and B so as to realize the distance normalization processing. And similarly, calculating to obtain the similarity of the user A and the user C. And comparing the similarity between the user A and the user B with the similarity between the user A and the user C, and when the similarity between the user A and the user B is smaller than the similarity between the user A and the user C, considering that the distance between the user A and the user B is closer, and the user A has the same family attribute as the user B. And when the similarity between the user A and the user B is greater than the similarity between the user A and the user C, the user A is considered to be closer to the user C, and the user A has the same personal attribute as the user C.

Fig. 3E schematically illustrates a flow chart of a method of delivering the periodically delivered items, according to an embodiment of the present disclosure. As shown in fig. 3E, the dispensing of the periodically delivered items includes:

operation S315, acquiring the number of periodic sending cycles and the number of periodic sending articles in the order information;

operation S316, determining whether the periodic transmission period is 1, if the periodic transmission period is 1, performing operation S317, and if the periodic transmission period is greater than 1, performing operation S318;

operation S317 of performing general distribution of the periodically delivered items;

in operation S318, an interim delivery is made according to the number of cycles and the quantity of the items.

In the embodiment of the disclosure, after selecting to send the articles regularly, the user can still select to complete the distribution once according to the common distribution mode or select to carry out the distribution in a periodic quantitative manner according to the actual requirement. The problem that articles are sent regularly and only can be distributed regularly is avoided, various choices are provided for users, and personalized requirements of the users are met.

FIG. 4 schematically illustrates a block diagram of a periodic feed of articles, according to an embodiment of the disclosure.

As shown in fig. 4, the periodic delivery apparatus 400 of an item includes an acquisition module 410 and a determination module 420.

An obtaining module 410, configured to obtain a consumption frequency of an item purchased by a user account with a personal attribute within a preset time period;

the determining module 420 is configured to determine that the item is a regularly delivered item when the consumption frequency of the item is greater than the preset frequency, so as to deliver the regularly delivered item according to the order information of the user.

Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.

For example, any number of the obtaining module 410 and the determining module 420 may be combined and implemented in one module/unit/sub-unit, or any one of the modules/units/sub-units may be split into a plurality of modules/units/sub-units. Alternatively, at least part of the functionality of one or more of these modules/units/sub-units may be combined with at least part of the functionality of other modules/units/sub-units and implemented in one module/unit/sub-unit. According to an embodiment of the present disclosure, at least one of the obtaining module 410 and the determining module 420 may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or in any one of three implementations of software, hardware, and firmware, or in any suitable combination of any of them. Alternatively, at least one of the obtaining module 410 and the determining module 420 may be at least partially implemented as a computer program module, which when executed, may perform a corresponding function.

Fig. 5A schematically illustrates a block diagram of an acquisition module according to an embodiment of the disclosure. As shown in fig. 5A, the obtaining module 410 includes: a counting unit 411 for counting the purchase time and purchase quantity of all the same items purchased within a preset time period; a first comparing unit 412, configured to compare the time for purchasing the same item twice, respectively, to obtain a plurality of time differences; a first calculating unit 413 for calculating the ratio of the time difference to the previous purchase quantity to obtain the purchase frequency of a plurality of singular articles; and a second calculating unit 414 for calculating an average value of the purchase frequency of a plurality of single-quantity items, resulting in the consumption frequency of the items.

According to the embodiment of the disclosure, the actual purchase demand of a user with personal attributes on a certain class of articles is statistically obtained on the basis of the historical purchase records of all known user accounts with personal attributes, and the merchant platform can provide purchasing and distribution services in a targeted manner according to the actual purchase demand, so that an article pool for regularly delivering articles is expanded, more regular delivery choices meeting the actual demand are provided for the user, and the problem of accumulating excessive articles at one time when the user purchases a plurality of articles in a single order to enjoy discount is avoided.

Fig. 5B schematically illustrates a block diagram of a periodic feed of articles according to another embodiment of the present disclosure. As shown in fig. 5B, the periodic delivery device 400 of the item further includes an identification module 430 for identifying attributes of the user account, including personal attributes and family attributes.

Through the embodiment of the disclosure, the users with personal attributes are identified, and targeted delivery service is provided so as to meet the actual requirements of the users with personal attributes.

Fig. 5C schematically illustrates a block diagram of an identification module according to an embodiment of the disclosure. As shown in fig. 5C, the identification module 430 includes: a first obtaining unit 431, configured to obtain all the receiving addresses of the multiple user accounts and the consignees corresponding to the receiving addresses; a first judging unit 432, configured to judge whether the multiple user accounts have the same receiving address; the second determining unit 433 is configured to determine whether the consignees corresponding to the same consignee address of the multiple user accounts are the same or not if the multiple user accounts have the same consignee address.

According to the embodiment of the disclosure, the receiving information of a plurality of users is acquired, and the attributes of the users are identified according to the receiving information of the users.

Fig. 5D schematically illustrates a block diagram of an identification module according to another embodiment of the present disclosure. As shown in fig. 5D, the identification module 430 further includes: a second obtaining unit 434, configured to obtain all the receiving addresses of a single user account and the consignees corresponding to the receiving addresses; a third determining unit 435, configured to determine whether the individual user accounts have the same receiving address; a fourth determining unit 436, configured to determine whether the consignees corresponding to the same consignee address of the single user account are the same if the single user account has the same consignee address.

By the embodiment of the disclosure, the receiving information of a single user is obtained, and the attribute of the single user is identified according to the receiving information of the single user.

Fig. 5E schematically illustrates a block diagram of an identification module according to an embodiment of the disclosure. As shown in fig. 5E, the identification module 430 further includes: a first determination unit 437, configured to determine similarity between an item purchased by a user account with unknown attributes and an item purchased by a user account with personal attributes, and determine similarity between an item purchased by a user account with unknown attributes and an item purchased by a user account with family attributes; a second comparing unit 438, configured to compare the similarity between the item purchased by the user account with unknown attribute and the item purchased by the user account with personal attribute, and the similarity between the item purchased by the user account with unknown attribute and the item purchased by the user account with family attribute.

Through the embodiment of the disclosure, the top50 articles with the largest purchasing quantity in the last year of three types of users, namely the user account with unknown attributes, the user account with personal attributes and the user account with family attributes, are respectively obtained, and the similarity of the purchased top50 articles is calculated. By comparing the similarity, the attributes of the unknown user are identified, various modes for identifying the attributes of the user are provided, and the identification efficiency is improved.

It should be noted that, the apparatus portion in the embodiment of the present disclosure corresponds to the method portion in the embodiment of the present disclosure, and the detailed description of the method portion may be referred to for the related description of the apparatus portion, and is not repeated herein

FIG. 6 schematically illustrates a block diagram of a computer device suitable for implementing the periodic delivery method of an item described above, in accordance with an embodiment of the present disclosure. The computer device shown in fig. 6 is only an example and should not bring any limitation to the function and scope of use of the embodiments of the present disclosure.

As shown in fig. 6, a computer apparatus 600 according to an embodiment of the present disclosure includes a processor 601 which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. Processor 601 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 601 may also include onboard memory for caching purposes. Processor 601 may include a single processing unit or multiple processing units for performing different actions of a method flow according to embodiments of the disclosure.

In the RAM603, various programs and data necessary for the operation of the apparatus 600 are stored. The processor 601, the ROM602, and the RAM603 are connected to each other via a bus 604. The processor 601 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM602 and/or RAM 603. It is to be noted that the programs may also be stored in one or more memories other than the ROM602 and RAM 603. The processor 601 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the present disclosure, device 600 may also include an input/output (I/O) interface 605, input/output (I/O) interface 605 also being connected to bus 604. The device 600 may also include one or more of the following components connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.

According to embodiments of the present disclosure, method flows according to embodiments of the present disclosure may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program, when executed by the processor 601, performs the above-described functions defined in the apparatus of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.

According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples may include, but are not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution apparatus, device, or apparatus.

For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM602 and/or RAM603 described above and/or one or more memories other than the ROM602 and RAM 603.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based devices that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims (11)

1. A method of periodically delivering articles, comprising:

acquiring the consumption frequency of articles purchased by a user account with personal attributes within a preset time period;

and when the consumption frequency of the articles is greater than the preset frequency, determining that the articles are regularly delivered articles, and delivering the regularly delivered articles according to the order information of the user.

2. The periodic delivery method of items according to claim 1, wherein the acquiring a consumption frequency of items purchased by a user account having a personal attribute within a preset time period includes:

counting the purchase time and the purchase quantity of all the same items purchased in a preset time period;

respectively comparing the time of purchasing the same articles twice to obtain a plurality of time differences;

respectively calculating the ratio of the time difference to the previous purchase quantity to obtain the purchase frequency of a plurality of articles with single quantity;

and calculating the average value of the purchase frequency of a plurality of single-quantity articles to obtain the consumption frequency of the articles.

3. The periodic delivery method of items according to claim 1, wherein before the acquiring of the consumption frequency of items purchased by the user account having personal attributes within a preset time period, attributes including personal attributes and family attributes of the user account are identified.

4. The method of periodic delivery of items of claim 3, wherein the identifying attributes of the user account comprises:

acquiring all receiving addresses of a plurality of user accounts and receivers corresponding to the receiving addresses;

judging whether the plurality of user accounts have the same receiving address;

if the plurality of user accounts have the same receiving address, judging whether the consignees corresponding to the same receiving address of the plurality of user accounts are the same;

and if the consignees corresponding to the same consignee addresses of the user accounts are different, the user accounts have personal attributes.

5. The method for periodic delivery of an item of claim 3, wherein the identifying attributes of the user account further comprises:

acquiring all receiving addresses of a single user account and receivers corresponding to the receiving addresses;

judging whether the single user account has the same receiving address or not;

if the single user account has the same receiving address, judging whether the consignees corresponding to the same receiving address of the single user account are the same;

and if the consignees corresponding to the same consignee address of the single user account are different, the single user account has the family attribute.

6. The method for periodic delivery of an item of claim 3, wherein the identifying account attributes of the user further comprises:

determining the similarity between the items purchased by the user account with unknown attributes and the items purchased by the user account with personal attributes, and determining the similarity between the items purchased by the user account with unknown attributes and the items purchased by the user account with family attributes;

when the similarity between the user account with unknown attribute and the item purchased by the user account with personal attribute is smaller than the similarity between the user account with unknown attribute and the item purchased by the user account with family attribute, the user account with unknown attribute has personal attribute.

7. The method of claim 1, further comprising satisfying a predetermined range for the length, volume, and weight of the periodically delivered items.

8. The method for periodically delivering an item according to claim 1, wherein the delivering the periodically delivered item according to the order information of the user comprises:

acquiring the number of periodic sending cycles and the number of periodic sending articles in order information;

judging whether the periodic sending period is 1 or not;

if the periodic delivery cycle number is 1, carrying out ordinary distribution on the periodic delivery articles;

and if the periodic delivery cycle number is greater than 1, performing periodic delivery according to the cycle number and the quantity of the articles.

9. A periodic delivery apparatus for articles, comprising:

the acquisition module is used for acquiring the consumption frequency of articles purchased by a user account with personal attributes within a preset time period;

the determining module is used for determining that the articles are regularly delivered articles when the consumption frequency of the articles is greater than the preset frequency, and delivering the regularly delivered articles according to order information of a user.

10. A computer device, comprising:

one or more processors;

a memory for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-8.

11. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to carry out the method of any one of claims 1 to 8.

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