CN111582963A - Information processing method, device and system - Google Patents
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- 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
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- G06Q30/0601—Electronic shopping [e-shopping]
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- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- 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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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Abstract
The disclosure provides an information processing method, device and system. After receiving order information of a user, the information processing device extracts identification information of an article from the order information; querying item association information associated with the identification information; extracting the use duration information and the related article information of the article from the article related information; determining cycle trigger time according to the use duration information of the article; and periodically recommending the associated item information to the user according to the periodic trigger time. The present disclosure periodically transmits recommendation information to a user according to the use duration of an item, so as to remind the user to purchase a desired item in time.
Description
Technical Field
The present disclosure relates to the field of information processing, and in particular, to an information processing method, apparatus, and system.
Background
In the related art, a user can make a repurchase to a purchased article by viewing a history order record in the process of purchasing the article through an e-commerce website.
Disclosure of Invention
The inventor has found through research that, in the case where the purchased article is a consumable article, the article is used up after a certain period of time. After this time has elapsed, the user needs to make a new purchase. If the user forgets to purchase, the life is not changed. In the related art, the e-commerce system does not send prompt information to the user according to the use duration of the article. Thereby degrading the user experience.
To this end, the present disclosure provides a scheme capable of periodically transmitting recommendation information to a user according to a use duration of an item purchased by the user.
According to a first aspect of the embodiments of the present disclosure, there is provided an information processing method including: after order information of a user is received, extracting identification information of an article from the order information; querying item association information associated with the identification information; extracting the use duration information and the related article information of the article from the article related information; determining cycle trigger time according to the use duration information of the article; and periodically recommending the associated article information to the user according to the periodic trigger time.
In some embodiments, after querying the item association information associated with the identification information, the method further includes: judging whether the item associated information comprises an automatic ordering identifier or not; under the condition that the article associated information comprises an automatic ordering identifier, determining periodic ordering time according to the article use duration information; and periodically sending the order placing data associated with the articles to an order processing device according to the periodic order placing time so that the order processing device can perform corresponding order placing processing.
In some embodiments, periodically transmitting ordering data associated with the item to an order processing device according to the periodic ordering time includes: generating ordering data associated with the item; writing the order placing data into a database; periodically extracting the order placing data from the database according to the periodic order placing time; and sending the extracted order placing data to an order processing device.
In some embodiments, the periodic order time is deleted after receiving an automatic order cancellation notification.
According to a second aspect of the embodiments of the present disclosure, there is provided an information processing apparatus including: the identification extraction module is configured to extract identification information of an article from order information after the order information of a user is received; a query module configured to query item association information associated with the identification information; the associated information extraction module is configured to extract the use duration information and the associated article information of the article from the article associated information; a time determination module configured to determine a cycle trigger time according to the usage duration information of the item; and the recommending module is configured to periodically recommend the associated item information to the user according to the periodic trigger time.
In some embodiments, the apparatus further comprises: an identification module configured to determine whether an automatic ordering identifier is included in the item association information; the time determining module is configured to determine a periodic ordering time according to the article use duration information under the condition that the article related information comprises an automatic ordering identifier; and the order placing processing module is configured to periodically send order placing data associated with the articles to the order processing device according to the periodic order placing time so that the order processing device can perform corresponding order placing processing.
In some embodiments, the order processing module is configured to generate order data associated with the item, write the order data into a database, periodically extract the order data from the database according to the periodic order time, and send the extracted order data to the order processing device.
In some embodiments, the time determination module is further configured to delete the periodic order time upon receiving an automatic order cancellation notification.
According to a third aspect of the embodiments of the present disclosure, there is provided an information processing apparatus including:
a memory configured to store instructions; a processor coupled to the memory, the processor configured to perform a method implementing any of the embodiments described above based on instructions stored by the memory.
According to a fourth aspect of the embodiments of the present disclosure, there is provided an information processing system including: an information processing apparatus as in any one of the above embodiments.
In some embodiments, the system further comprises: the order processing device is configured to send corresponding order information to the information processing device after the user order is generated; and is also configured to perform order placing processing based on order placing data transmitted by the information processing apparatus.
According to a fifth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, in which computer instructions are stored, and when executed by a processor, the computer-readable storage medium implements the method according to any of the embodiments described above.
Other features of the present disclosure and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is an exemplary flow chart of an information processing method of one embodiment of the present disclosure;
FIG. 2 is an exemplary flow chart of an information processing method of another embodiment of the present disclosure;
FIG. 3 is an exemplary block diagram of an information processing apparatus of one embodiment of the present disclosure;
fig. 4 is an exemplary block diagram of an information processing apparatus of another embodiment of the present disclosure;
fig. 5 is an exemplary block diagram of an information processing apparatus of yet another embodiment of the present disclosure;
FIG. 6 is an exemplary flow diagram of information loop recommendation according to one embodiment of the present disclosure;
FIG. 7 is an exemplary flow diagram for automatic ordering according to one embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Fig. 1 is an exemplary flowchart of an information processing method according to an embodiment of the present disclosure. In some embodiments, the information processing method is performed by an information processing apparatus.
In step 101, after receiving order information of a user, identification information of an article is extracted from the order information.
At step 102, item association information associated with the identification information is queried.
In some embodiments, the item association information is stored locally, thereby improving query efficiency. In other embodiments, item-related information may be stored in the configuration system, thereby reducing the local storage burden.
In step 103, the use time length information and the related article information of the article are extracted from the article related information.
Different articles have different use durations. For example, a life consumable has a certain usage period. In the case where a user normally uses toothpaste, the usage time of one tube of toothpaste is one month. Over a month, the user needs to buy toothpaste again.
At step 104, a cycle trigger time is determined based on the usage duration information for the item.
In step 105, the associated item information is periodically recommended to the user according to the cycle trigger time.
To ensure that the user is able to continue using the item, the determined trigger time will typically be before the item is exhausted. For example, a user of an item may purchase the item once a month, and the user may be sent recommendation information on the last week of each month. For another example, if the usage time of a certain article is one month, and the user buys two articles at a time, the recommendation information is sent to the user every two months.
Further, the associated item information transmitted to the user is item information associated with an item purchased by the user. For example, if a user purchases a whitening dentifrice, the user is sent items associated with that dentifrice (e.g., medicinal, periodontal, toothbrush, etc. in addition to the whitening dentifrice) to provide the user with more options.
In some embodiments, if the item-related information does not include the use duration information of the item, the recommendation information is sent to the user in a normal recommendation manner. Since a general recommendation is not the point of the invention of the present disclosure, it is not described herein.
In the information processing method provided by the above embodiment of the present disclosure, recommendation information is periodically sent to the user according to the use duration of the article, so as to remind the user to purchase the desired article in time.
Thereby significantly enhancing the user experience.
Fig. 2 is an exemplary flowchart of an information processing method according to another embodiment of the present disclosure. In some embodiments, the information processing method is performed by an information processing apparatus.
In step 201, after receiving order information of a user, identification information of an item is extracted from the order information.
At step 202, item association information associated with the identification information is queried.
In some embodiments, the item association information is stored locally, thereby improving query efficiency. In other embodiments, item-related information may be stored in the configuration system, thereby reducing the local storage burden.
In step 203, it is determined whether an automatic ordering flag is included in the item association information.
If the item-related information includes the automatic ordering identifier, step 204 is executed. And if the item associated information does not include the automatic ordering identification, ending the process.
In step 204, the periodic ordering time is determined according to the article use duration information in the article related information.
In step 205, the order data associated with the item is periodically transmitted to the order processing device according to the periodic order placing time, so that the order processing device performs the corresponding order placing process.
For example, if the user sets an automatic ordering flag for an item, and the use duration of the item is one month, the information processing apparatus performs automatic ordering operation for the item every month. Therefore, the user does not need to repeatedly perform order placing operation, the information processing device can automatically complete order placing processing for the user every month, and user experience is effectively improved.
In some embodiments, the step 205 may include: and generating ordering data associated with the article, and writing the ordering data into the database. And periodically extracting order placing data from the database according to the periodic order placing time, and sending the extracted order placing data to the order processing device.
In the above embodiment, the order data is written into the database of the configuration system. The information processing device automatically extracts order placing data from the database at a preset time and sends the order placing data to the order processing device for processing. The ordering data is not stored in the information processing device, so that the storage burden of the information processing device is effectively reduced.
In some embodiments, if the user wishes to cancel the automatic ordering operation for the item, the user may cancel the automatic ordering identification by updating the item association information. For example, if the item relationship information is stored in the configuration device, the user updates the item-related information in the configuration device. The configuration device sends a corresponding automatic ordering cancellation notice to the information processing device after the article related information is updated, so that the information processing device deletes the periodic ordering time and stops the automatic ordering processing.
Fig. 3 is an exemplary block diagram of an information processing apparatus according to an embodiment of the present disclosure. As shown in fig. 3, the information processing apparatus includes an identification extraction module 31, a query module 32, an associated information extraction module 33, a time determination module 34, and a recommendation module 35.
The identification extraction module 31 is configured to extract the identification information of the item from the order information after receiving the order information of the user.
The query module 32 is configured to query item association information associated with the identification information.
In some embodiments, the item association information is stored locally, thereby improving query efficiency. In other embodiments, item-related information may be stored in the configuration system, thereby reducing the local storage burden.
The related information extraction module 33 is configured to extract the use duration information of the article and the related article information from the article related information.
Different articles have different use durations. For example, a life consumable has a certain usage period. In the case where a user normally uses toothpaste, the usage time of one tube of toothpaste is one month. Over a month, the user needs to buy toothpaste again.
The time determination module 34 is configured to determine the cycle trigger time based on the usage duration information of the item.
And the recommending module 35 is configured to periodically recommend the associated item information to the user according to the periodic trigger time.
To ensure that the user is able to continue using the item, the determined trigger time will typically be before the item is exhausted. For example, a user of an item may purchase the item once a month, and the user may be sent recommendation information on the last week of each month. For another example, if the usage time of a certain article is one month, and the user buys two articles at a time, the recommendation information is sent to the user every two months.
Further, the associated item information transmitted to the user is item information associated with an item purchased by the user. For example, if a user purchases a whitening dentifrice, the user is sent items associated with that dentifrice (e.g., medicinal, periodontal, toothbrush, etc. in addition to the whitening dentifrice) to provide the user with more options.
In some embodiments, if the item-related information does not include the use duration information of the item, the recommendation information is sent to the user in a normal recommendation manner. Since a general recommendation is not the point of the invention of the present disclosure, it is not described herein.
In the information processing apparatus provided by the above-mentioned embodiment of the present disclosure, the recommendation information is periodically sent to the user according to the use duration of the article, so as to remind the user to purchase the desired article in time.
Thereby significantly enhancing the user experience.
Fig. 4 is an exemplary block diagram of an information processing apparatus according to another embodiment of the present disclosure. Fig. 4 differs from fig. 3 in that, in the embodiment shown in fig. 4, the information processing apparatus further includes an identification module 36 and a placing order processing module 37.
The identification module 36 is configured to determine whether an automatic ordering identification is included in the item association information.
The time determination module 34 is configured to determine the periodic ordering time according to the item usage duration information in the case that the automatic ordering identification is included in the item-related information.
The order placing processing module 37 is configured to periodically transmit order placing data associated with the item to the order processing device according to the periodic order placing time so that the order processing device performs a corresponding order placing process.
For example, if the user sets an automatic ordering flag for an item, and the use duration of the item is one month, the information processing apparatus performs automatic ordering operation for the item every month. Therefore, the user does not need to repeatedly perform order placing operation, the information processing device can automatically complete order placing processing for the user every month, and user experience is effectively improved.
In some embodiments, the order processing module 37 is configured to generate order data associated with the item, write the order data into a database, periodically extract the order data from the database according to a periodic order time, and transmit the extracted order data to the order processing device. Therefore, the periodic ordering processing can be realized.
In some embodiments, if the user wishes to cancel the automatic ordering operation for the item, the user may cancel the automatic ordering identification by updating the item association information. For example, if the item relationship information is stored in the configuration device, the user updates the item-related information in the configuration device. The configuration device sends a corresponding automatic ordering cancellation notice to the information processing device after the article related information is updated. The time determination module 34 is further configured to delete the periodic order time upon receiving the automatic order cancellation notification. So that the information processing device deletes the period ordering time and stops the automatic ordering processing.
Fig. 5 is an exemplary block diagram of an information processing apparatus of yet another embodiment of the present disclosure. As shown in fig. 5, the information processing apparatus includes a memory 51 and a processor 52.
The memory 51 is used for storing instructions, the processor 52 is coupled to the memory 51, and the processor 52 is configured to execute the method according to any one of the embodiments in fig. 1 or fig. 2 based on the instructions stored in the memory.
As shown in fig. 5, the information processing apparatus further includes a communication interface 53 for information interaction with other devices. Meanwhile, the device also comprises a bus 54, and the processor 52, the communication interface 53 and the memory 51 are communicated with each other through the bus 54.
The memory 51 may comprise a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 51 may also be a memory array. The storage 51 may also be partitioned and the blocks may be combined into virtual volumes according to certain rules.
Further, the processor 52 may be a central processing unit CPU, or may be an application specific integrated circuit ASIC, or one or more integrated circuits configured to implement embodiments of the present disclosure.
The present disclosure also relates to a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the instructions, when executed by a processor, implement a method according to any one of the embodiments shown in fig. 1 or fig. 2.
The present disclosure also provides an information processing system including the information processing apparatus according to any one of the above embodiments.
In some embodiments, the information handling system further comprises an order processing device. The order processing device is configured to send corresponding order information to the information processing device after the user order is generated. The order processing apparatus is further configured to perform order placing processing in accordance with the order placing data transmitted by the information processing apparatus.
In some embodiments, the information handling system may also include a configuration device. By storing the item-related information in the configuration system, the storage load of the information processing apparatus can be reduced.
FIG. 6 is an exemplary flow diagram of information loop recommendation, according to one embodiment of the present disclosure.
In step 601, a user configures item related information of a related item in a configuration system through a data terminal.
In step 602, the order processing apparatus transmits order information to the information processing apparatus after generating a new order.
In step 603, the information processing apparatus extracts identification information of an article from the order information after receiving the order information of the user.
At step 604, the information processing apparatus transmits an inquiry request to the configuration apparatus to inquire about the item association information associated with the identification information.
In step 605, the configuration device transmits item-related information associated with the identification information to the information processing device.
In step 606, the information processing apparatus determines whether or not the article-related information includes the use time length information of the article.
In step 607, when the use time length information of the article exists in the article-related information, the use time length information of the article and the related article information are extracted from the article-related information.
If the article related information does not include the use duration information of the article, the recommendation information is sent to the user in a normal recommendation mode.
At step 608, a cycle trigger time is determined based on the usage duration information for the item.
In step 609, the associated item information is periodically recommended to the user according to the cycle trigger time.
FIG. 7 is an exemplary flow diagram for automatic ordering according to one embodiment of the present disclosure.
In step 701, a user configures item related information of a related item in a configuration system through a data terminal.
In step 702, the order processing apparatus transmits order information to the information processing apparatus after generating a new order.
In step 703, the information processing apparatus extracts identification information of an article from the order information after receiving the order information of the user.
At step 704, the information processing apparatus transmits an inquiry request to the configuration apparatus to inquire about the item association information associated with the identification information.
In step 705, the configuration device transmits item related information associated with the identification information to the information processing device.
In step 706, the information processing apparatus determines whether or not the automatic order placing identification is included in the item association information.
In step 707, if the item-related information includes the automatic ordering flag, the information processing apparatus generates ordering data associated with the item.
In step 708, the information processing apparatus writes the order data in the database of the configuration apparatus.
In step 709, the information processing apparatus periodically transmits a placing data extraction request to the configuration apparatus according to the periodic placing time.
In step 710, the configuration device sends the corresponding order data in the database to the information processing device.
In step 711, the information processing apparatus transmits the extracted order data to the order processing apparatus to call the order processing apparatus to perform automatic order placing processing.
In some embodiments, the functional unit modules described above may be implemented as a general purpose Processor, a Programmable Logic Controller (PLC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable Logic device, discrete gate or transistor Logic, discrete hardware components, or any suitable combination thereof for performing the functions described in this disclosure.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The description of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the disclosure in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the disclosure and the practical application, and to enable others of ordinary skill in the art to understand the disclosure for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (12)
1. An information processing method comprising:
after order information of a user is received, extracting identification information of an article from the order information;
querying item association information associated with the identification information;
extracting the use duration information and the related article information of the article from the article related information;
determining cycle trigger time according to the use duration information of the article;
and periodically recommending the associated article information to the user according to the periodic trigger time.
2. The method of claim 1, wherein after querying item association information associated with the identification information, further comprising:
judging whether the item associated information comprises an automatic ordering identifier or not;
under the condition that the article associated information comprises an automatic ordering identifier, determining periodic ordering time according to the article use duration information;
and periodically sending the order placing data associated with the articles to an order processing device according to the periodic order placing time so that the order processing device can perform corresponding order placing processing.
3. The method of claim 2, wherein periodically transmitting ordering data associated with the item to an order processing device according to the periodic ordering time comprises:
generating ordering data associated with the item;
writing the order placing data into a database;
periodically extracting the order placing data from the database according to the periodic order placing time;
and sending the extracted order placing data to an order processing device.
4. The method of claim 3, wherein,
and deleting the periodic ordering time after receiving the automatic ordering cancellation notice.
5. An information processing apparatus comprising:
the identification extraction module is configured to extract identification information of an article from order information after the order information of a user is received;
a query module configured to query item association information associated with the identification information;
the associated information extraction module is configured to extract the use duration information and the associated article information of the article from the article associated information;
a time determination module configured to determine a cycle trigger time according to the usage duration information of the item;
and the recommending module is configured to periodically recommend the associated item information to the user according to the periodic trigger time.
6. The apparatus of claim 5, wherein the apparatus further comprises:
an identification module configured to determine whether an automatic ordering identifier is included in the item association information;
the time determining module is configured to determine a periodic ordering time according to the article use duration information under the condition that the article related information comprises an automatic ordering identifier;
and the order placing processing module is configured to periodically send order placing data associated with the articles to the order processing device according to the periodic order placing time so that the order processing device can perform corresponding order placing processing.
7. The apparatus of claim 6, wherein,
the order placing processing module is configured to generate order placing data associated with the article, write the order placing data into a database, periodically extract the order placing data from the database according to the periodic order placing time, and send the extracted order placing data to an order processing device.
8. The apparatus of claim 7, wherein,
the time determination module is further configured to delete the periodic order time upon receiving an automatic order cancellation notification.
9. An information processing apparatus comprising:
a memory configured to store instructions;
a processor coupled to the memory, the processor configured to perform implementing the method of any of claims 1-4 based on instructions stored by the memory.
10. An information processing system comprising: the information processing apparatus according to any one of claims 5 to 8.
11. The system of claim 10, wherein the system further comprises:
the order processing device is configured to send corresponding order information to the information processing device after the user order is generated; and is also configured to perform order placing processing based on order placing data transmitted by the information processing apparatus.
12. A computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions which, when executed by a processor, implement the method of any one of claims 1-4.
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| CN201910118713.0A CN111582963A (en) | 2019-02-18 | 2019-02-18 | Information processing method, device and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112396380A (en) * | 2020-11-26 | 2021-02-23 | 北京沃东天骏信息技术有限公司 | Method and device for regularly sending articles, computer equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103150660A (en) * | 2011-12-06 | 2013-06-12 | 阿里巴巴集团控股有限公司 | User message reminding method and device produced in network shopping platform |
| CN103593767A (en) * | 2012-08-17 | 2014-02-19 | 纽海信息技术（上海）有限公司 | E-commerce system and order submission method |
| CN106157097A (en) * | 2016-08-22 | 2016-11-23 | 北京京东尚科信息技术有限公司 | Method of Commodity Recommendation and system |
| CN108510341A (en) * | 2017-02-27 | 2018-09-07 | 中兴通讯股份有限公司 | A kind of order processing method and apparatus |
| CN109064261A (en) * | 2018-07-12 | 2018-12-21 | 北京京东金融科技控股有限公司 | The method, apparatus and computer readable storage medium of Recommendations |
-
2019
- 2019-02-18 CN CN201910118713.0A patent/CN111582963A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103150660A (en) * | 2011-12-06 | 2013-06-12 | 阿里巴巴集团控股有限公司 | User message reminding method and device produced in network shopping platform |
| CN103593767A (en) * | 2012-08-17 | 2014-02-19 | 纽海信息技术（上海）有限公司 | E-commerce system and order submission method |
| CN106157097A (en) * | 2016-08-22 | 2016-11-23 | 北京京东尚科信息技术有限公司 | Method of Commodity Recommendation and system |
| CN108510341A (en) * | 2017-02-27 | 2018-09-07 | 中兴通讯股份有限公司 | A kind of order processing method and apparatus |
| CN109064261A (en) * | 2018-07-12 | 2018-12-21 | 北京京东金融科技控股有限公司 | The method, apparatus and computer readable storage medium of Recommendations |
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| CN112396380A (en) * | 2020-11-26 | 2021-02-23 | 北京沃东天骏信息技术有限公司 | Method and device for regularly sending articles, computer equipment and storage medium |
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