CN106033577A - Information recommending method and device - Google Patents
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- CN106033577A CN106033577A CN201510109316.9A CN201510109316A CN106033577A CN 106033577 A CN106033577 A CN 106033577A CN 201510109316 A CN201510109316 A CN 201510109316A CN 106033577 A CN106033577 A CN 106033577A
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Abstract
The application discloses an information recommending method and device. The method comprises: an order instruction from a user is received; order data generated based on the order instruction of the user are obtained, wherein the order data include user information and order information; on the basis of the order data, matching inquiring is carried out in a recommending information database to obtain recommending information corresponding to the order data; and the obtained recommending information is pushed to a page for confirming the order data by the user. Because the recommending information for selection by the user is added into the page confirming the order information by the user, information recommending paths are increased.
Description
Technical field
The application relates to field of computer technology, particularly relates to the recommendation method and device of a kind of information.
Background technology
In prior art, e-commerce website or search engine web site would generally record the commodity that user is browsed
Information or the historical information retrieved, when this user is follow-up again log in this website time, e-commerce website or
The background server of search engine web site can recommend the similar purpose of its most browsed commodity to this user
Merchandise news or the same or like information of the information retrieved with it, select to browse for user.
Certainly, in prior art, when user carries out commodity retrieval in e-commerce website, this ecommerce
Website background server can also be according to the key word of input during user search, at the goods browse page of this user
In face, the information that instant propelling movement is relevant to search key selects for user.
Existing information recommendation usually user carries out the retrieval of commodity in e-commerce website, send out when browsing
Raw, but e-commerce website also includes other operation scenarios, if user wishes in other operation scenarios
When obtaining recommendation information, existing information recommendation method then cannot meet requirement.Therefore, existing information pushes away
Recommend approach the most comprehensive.
It addition, the key word of input is to recommend user to want when existing information recommendation is typically based on user search
The target information obtained.Such as, user inputs " civil law " point in the search field of e-commerce website
After hitting search, the book information that in the result of page searching of appearance, the most with good grounds key word " civil law " obtains,
Also have other book informations relevant to civil law that server is recommended, the attribute of this recommendation information and ownership goal
The attribute of information is consistent, is books.If user intentionally gets the recommendation information different from target information attribute
Time, existing information recommendation method then cannot realize the information recommending to be different from ownership goal information attribute.
Summary of the invention
The embodiment of the present application provides the recommendation method and device of a kind of information, in order to solve information in prior art
The incomplete problem of recommendation approach.
A kind of recommendation method of information, including:
Receive the order from user to instruct；
The order data obtaining order based on user instruction and generate, described order data includes user profile
And sequence information；
According to order data, recommendation information data base carries out matching inquiry, to obtain and described order numbers
According to corresponding recommendation information；
The recommendation information of acquisition is pushed to for user confirm an order data the page in.
A kind of recommendation apparatus of information, including:
First receiver module, instructs for receiving the order from user；
First acquisition module, for obtaining order based on user instruction and the order data that generates, described in order
Forms data includes user profile and sequence information；
Second acquisition module, for according to order data, carries out matching inquiry in recommendation information data base,
To obtain the recommendation information corresponding with described order data；
There is provided module, in the page of the data that push to the recommendation information of acquisition to confirm an order for user.
The embodiment of the present application also provides for a kind of recommendation method of information, in order to solve recommendation information in prior art
The problem that attribute is identical with the target information attribute of user.
A kind of recommendation method of information, including:
Receive the order from user to instruct；
The order data obtaining order based on user instruction and generate, described order data includes that order is believed
Breath；
According to sequence information, commonweal information data base carries out matching inquiry, believe with described order to obtain
The donations information that manner of breathing is corresponding；
In the page of information that the donations information pushing obtained extremely is confirmed an order for user.
In the embodiment of the present application, user confirm an order information the page in, i.e. commodity amount balance,
Pay and link adds the recommendation information selected for user, so enrich the approach of information recommendation.
It addition, recommendation information other information that to be the attribute of the sequence information from user different, so meet
User's requirement diversified for recommendation information attribute.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing further understanding of the present application, constitutes of the application
Point, the schematic description and description of the application is used for explaining the application, is not intended that to the application not
Work as restriction.In the accompanying drawings:
The recommendation method of the information that Fig. 1 provides for the embodiment of the present application；
The recommendation apparatus of the information that Fig. 2 provides for the embodiment of the present application.
Detailed description of the invention
For making the purpose of the application, technical scheme and advantage clearer, specifically real below in conjunction with the application
Execute example and technical scheme is clearly and completely described by corresponding accompanying drawing.Obviously, described
Embodiment is only some embodiments of the present application rather than whole embodiments.Based on the enforcement in the application
Example, the every other enforcement that those of ordinary skill in the art are obtained under not making creative work premise
Example, broadly falls into the scope of the application protection.
The recommendation method of a kind of information that Fig. 1 provides for the embodiment of the present application, specifically includes following steps:
S101: receive the order from user and instruct.
In the embodiment of the present application, when user carries out shopping on line by mobile terminal client terminal or PC terminal,
If user select commodity and trigger in shopping page the option of purchase immediately after, the instruction of the order of user just from
Dynamic generation.The background server of e-commerce website i.e. can receive free user and trigger and automatically generate
Order instructs.
S102: obtaining order based on user instruction and the order data that generates, described order data includes using
Family information and sequence information.
Before user does shopping on line first, need to carry out real name registration at e-commerce website, thus obtain one
Individual account number is to do shopping on line.Wherein, the log-on message of user includes the identity information of user.
In the embodiment of the present application, on the line of user, order instruction once generates, and e-commerce website is order
Instruction creates an order data, and this order data includes user profile and sequence information.Generating order numbers
While according to, server can get this order data immediately.
In the embodiment of the present application, order data includes user profile and sequence information.Wherein, user profile
Identity information and the preference information of user including user.
The identity information of user includes: name, age, sex, birthday, mailbox, inhabitation address etc. are registered
Information.E-commerce website background server is by obtaining the cookie of user, thus obtains the account of user,
And then all log-on messages of this user, the identity information of such as user can be obtained further.
The preference information of user is some personal preference's information of user, and server can be according to user at electronics
The information that browses on business web site or purchaser record, and obtain the preference information of user.Such as, user is one
The food relevant with animal or article are often bought, then this user is possible for a house pet and likes in the section time
Good person.Certainly the preference information of this user can also obtain from the log-on message of user.
Sequence information in order data includes the ship-to letter of the classification information of order commodity, order commodity
Cease with, the pricing information of order commodity and other phase information.The classification information of order commodity refers to that user buys business
The kind of product.User is after determining certain part commodity of purchase, and the ship-to of order commodity is by user setup.
S103: according to order data, carries out matching inquiry in recommendation information data base, to obtain with described
The recommendation information that order data is corresponding.
Preferably, it is recommended that information database is commonweal information data base, it is recommended that information is donations information.Donations
Information includes: by name, age, inhabitation address, electronic pictures, the donations purpose of donor and be available for
The amount of donation that user selects.Certainly, the type of donations information is not limited to the type of above-mentioned donations information,
The donations information relating to other classes such as environmental protection class, pet protective can also be included.
In the embodiment of the present application, according to order data, recommendation information data base carries out matching inquiry,
To obtain the recommendation information corresponding with described order data, specifically include:
According to the classification information of order commodity, recommendation information data base carries out matching inquiry, with obtain with
The initial recommendation information that the classification information of order commodity is corresponding；
Ship-to information according to order commodity, screens in acquired initial recommendation information, obtains
Obtain consequently recommended information.
When recommendation information storehouse is commonweal information data base, the classification letter of its interior donations information and order commodity
Breath pre-builds that corresponding relation, each donations information can correspond to some merchandise classifications respectively.Therefore, root
According to the classification information of order commodity, just can go out to donate letter accordingly by matching inquiry in commonweal information database data
Breath, this part donations information i.e. can be described as initially donating information.Such as, relate to having enough to eat and wear some donations letters of class
Corresponding relation set up by the commodity such as breath and mother and baby's class commodity, foodstuff, then, if the classification of order commodity is
Mother and baby's class, just can go out some donations information by matching inquiry in commonweal information data base.
It addition, the ship-to information of order commodity and the address information in donations information also pre-build right
Should be related to, such that it is able to finally donate information according to the ship-to information sifting of order commodity.Specifically,
First can determine in the ship-to of order commodity should the region model of rank according to the region rank set
Enclose, and the address information in initially donations information be positioned at the donations information sifting of this regional extent out,
This part donations information is that override screens.If not filtering out donations information in this regional extent
Time, the most again by the address information in initially donations information adjacent to this regional extent donations information sifting out.
The donations information that finishing screen is elected is final donations information.Such as, the results address of order commodity is " Zhejiang
Tonglu County winter jasmine South Road 168, Jiang Sheng Hangzhou ", if the region rank set is as city, the most preferentially screen tax
Address information is the donations information of Hangzhou.If the address information in donations information is without Hangzhou, then screen ground
Location information is adjacent to the donations information of Hangzhou.
In the embodiment of the present application, according to order data, recommendation information data base carries out matching inquiry,
To obtain the recommendation information corresponding with described order data, it is also possible to including:
According to the preference information of user, recommendation information data base carries out matching inquiry, to obtain and user
The corresponding initial recommendation information of preference information；
According to the inhabitation address information in subscriber identity information, sieve in acquired initial recommendation information
Choosing, it is thus achieved that consequently recommended information.
When recommendation information storehouse is commonweal information data base, its interior donations information is pre-with the preference information of user
First setting up corresponding relation, each donations information can correspond to a preference information respectively.Therefore, according to
The preference information at family, just can go out corresponding initial donations information by matching inquiry in commonweal information data base.Ratio
As, set up corresponding relation between a donations information and preference information, then, if it is confirmed that user has this
Preference information, just in commonweal information data base, this donations information can be gone out by matching inquiry.It should be noted that
Merchandise news or the merchandise news of purchase that the preference information of user often browses according to user obtain, certainly
Can also obtain from the information of user's registration.Such as, user often buys some pet supplies, then just
Can learn that this user is pet fan, then after carrying out matching inquiry in recommendation information data base, just
The donations information that relates to house pet corresponding with the preference information of user can be obtained.
It addition, the inhabitation address information of user has also pre-build corresponding pass with the address information in donations information
System, such that it is able to go out final donations information according to the inhabitation address information sifting of user.Specifically, Ke Yigen
According to the region rank set, first determine in the inhabitation address of user to should the regional extent of rank, and will just
Address information in beginning donations information is positioned at the donations information sifting of this regional extent out, and this part is donated
Information is that override screens.If do not filter out donations information in this regional extent, the most again will
Address information in initial donations information adjacent to this regional extent donations information sifting out.Finishing screen is selected
The donations information come is final donations information.Such as, the inhabitation address of user is " in Huangpu District, Shanghai City
Hill path 28 ", if the region rank set is as district, then address information is contributed in preferential screening is the donations of Huangpu District
Information.If the address information in donations information is without Huangpu District, then the screening address information donations adjacent to Huangpu District
Information.
S104: the recommendation information of acquisition is pushed to for user confirm an order data the page in.
In the embodiment of the present application, after user triggers and buys option immediately, the page i.e. jumps to for user true
Recognizing in the page of order data, the recommendation information after server also will screen simultaneously pushes to confirm for user
In the page of order data, select for user.
S105: receive the instruction submitting order to of user.
In the embodiment of the present application, when recommendation information is donations information, user can be to donations interested
Information is chosen, it is possible to select the concrete amount of money of donations, and this donations information includes being schemed by donations object
Mark, corresponding description information and give by the donations amount of money etc. donated of object.When selected donations information and donations
After the amount of money, in the page confirming an order data, trigger and submit order option to, so the amount of money of donations
Just can settle accounts together with the goods amount bought, save the operating time that user is extra, facilitated use
Family.
The recommendation method of a kind of information provided for the embodiment of the present application above, based on same thinking, this Shen
Please the recommendation apparatus of a kind of information that provides of embodiment, as shown in Figure 2.
The recommendation apparatus structural representation of a kind of information that Fig. 2 provides for the embodiment of the present application, specifically includes:
First receiver module 201, instructs for receiving the order from user；
First acquisition module 202, the order data generated for obtaining order based on user instruction, institute
State order data and include user profile and sequence information；
Second acquisition module 203, for according to order data, carries out coupling in recommendation information data base and looks into
Ask, to obtain the recommendation information corresponding with described order data；
There is provided module 204, for the page of the data that push to the recommendation information of acquisition to confirm an order for user
In；
Second receiver module 205, for receiving the instruction submitting order to of user.
Described sequence information includes following at least any one:
The classification information of order commodity；
The ship-to information of order commodity.
Described user profile includes following at least any one:
The identity information of user；
The preference information of user.
Described recommendation information data base is commonweal information data base, and described recommendation information is donations information.
Described second acquisition module, specifically for:
According to the classification information of order commodity, recommendation information data base carries out matching inquiry, with obtain with
The initial recommendation information that the classification information of order commodity is corresponding；
Ship-to information according to order commodity, screens in acquired initial recommendation information, obtains
Obtain consequently recommended information.
Described second acquisition module, specifically for:
According to the preference information of user, recommendation information data base carries out matching inquiry, to obtain and user
The corresponding initial recommendation information of preference information；
According to the inhabitation address information in the identity information of user, carry out in acquired initial recommendation information
Screening, it is thus achieved that consequently recommended information.
Described donations information includes: by the name of donor, age, inhabitation address, electronic pictures, donations
Purpose and be available for user select amount of donation.
In the embodiment of the present application, user confirm an order information the page in, i.e. commodity amount balance,
Pay and link adds the recommendation information selected for user, so enrich the approach of information recommendation.It addition,
Recommendation information is other information that the attribute of the sequence information from user is different, so meets user for pushing away
Recommend the diversified requirement of information attribute.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or meter
Calculation machine program product.Therefore, the present invention can use complete hardware embodiment, complete software implementation or knot
The form of the embodiment in terms of conjunction software and hardware.And, the present invention can use and wherein wrap one or more
Computer-usable storage medium containing computer usable program code (include but not limited to disk memory,
CD-ROM, optical memory etc.) form of the upper computer program implemented.
The present invention is with reference to method, equipment (system) and computer program product according to embodiments of the present invention
The flow chart of product and/or block diagram describe.It should be understood that can by computer program instructions flowchart and
/ or block diagram in each flow process and/or flow process in square frame and flow chart and/or block diagram and/
Or the combination of square frame.These computer program instructions can be provided to general purpose computer, special-purpose computer, embedding
The processor of formula datatron or other programmable data processing device is to produce a machine so that by calculating
The instruction that the processor of machine or other programmable data processing device performs produces for realizing at flow chart one
The device of the function specified in individual flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions may be alternatively stored in and computer or the process of other programmable datas can be guided to set
In the standby computer-readable memory worked in a specific way so that be stored in this computer-readable memory
Instruction produce and include the manufacture of command device, this command device realizes in one flow process or multiple of flow chart
The function specified in flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, makes
Sequence of operations step must be performed to produce computer implemented place on computer or other programmable devices
Reason, thus the instruction performed on computer or other programmable devices provides for realizing flow chart one
The step of the function specified in flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
In a typical configuration, calculating equipment includes one or more processor (CPU), input/defeated
Outgoing interface, network interface and internal memory.
Internal memory potentially includes the volatile memory in computer-readable medium, random access memory
(RAM) and/or the form such as Nonvolatile memory, such as read only memory (ROM) or flash memory (flash
RAM).Internal memory is the example of computer-readable medium.
Computer-readable medium includes that removable media permanent and non-permanent, removable and non-can be by appointing
Where method or technology realize information storage.Information can be computer-readable instruction, data structure, program
Module or other data.The example of the storage medium of computer includes, but are not limited to phase transition internal memory
(PRAM), static RAM (SRAM), dynamic random access memory (DRAM), its
The random access memory (RAM) of his type, read only memory (ROM), electrically erasable are read-only
Memorizer (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc read only memory
(CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tape, tape magnetic
Disk storage or other magnetic storage apparatus or any other non-transmission medium, can be used for storage can be calculated
The information that equipment accesses.According to defining herein, computer-readable medium does not include temporary computer-readable matchmaker
Body (transitory media), such as data signal and the carrier wave of modulation.
Also, it should be noted term " includes ", " comprising " or its any other variant are intended to non-
Comprising of exclusiveness, so that include that the process of a series of key element, method, commodity or equipment not only wrap
Include those key elements, but also include other key elements being not expressly set out, or also include for this process,
The key element that method, commodity or equipment are intrinsic.In the case of there is no more restriction, statement " include
One ... " key element that limits, it is not excluded that including the process of described key element, method, commodity or setting
Other identical element is there is also in Bei.
It will be understood by those skilled in the art that embodiments herein can be provided as method, system or computer journey
Sequence product.Therefore, the application can use complete hardware embodiment, complete software implementation or combine software and
The form of the embodiment of hardware aspect.And, the application can use and wherein include calculating one or more
The computer-usable storage medium of machine usable program code (include but not limited to disk memory, CD-ROM,
Optical memory etc.) form of the upper computer program implemented.
The foregoing is only embodiments herein, be not limited to the application.For this area skill
For art personnel, the application can have various modifications and variations.All institutes within spirit herein and principle
Any modification, equivalent substitution and improvement etc. made, within the scope of should be included in claims hereof.
Claims (20)
1. the recommendation method of an information, it is characterised in that including:
Receive the order from user to instruct；
The order data obtaining order based on user instruction and generate, described order data includes user profile
And sequence information；
According to order data, recommendation information data base carries out matching inquiry, to obtain and described order numbers
According to corresponding recommendation information；
The recommendation information of acquisition is pushed to for user confirm an order data the page in.
2. the method for claim 1, it is characterised in that described sequence information include following at least
Any one:
The classification information of order commodity；
The ship-to information of order commodity.
3. the method for claim 1, it is characterised in that described user profile include following at least
Any one:
The identity information of user；
The preference information of user.
4. the method for claim 1, it is characterised in that described recommendation information data base is public good
Information database, described recommendation information is donations information.
5. method as claimed in claim 2, it is characterised in that described according to order data, is recommending
Information database carries out matching inquiry, to obtain the recommendation information corresponding with described order data, specifically
Including:
According to the classification information of order commodity, recommendation information data base carries out matching inquiry, with obtain with
The initial recommendation information that the classification information of order commodity is corresponding；
Ship-to information according to order commodity, screens in acquired initial recommendation information, obtains
Obtain consequently recommended information.
6. method as claimed in claim 3, it is characterised in that described according to order data, is recommending
Information database carries out matching inquiry, to obtain the recommendation information corresponding with described order data, specifically
Including:
According to the preference information of user, recommendation information data base carries out matching inquiry, to obtain and user
The corresponding initial recommendation information of preference information；
According to the inhabitation address information in subscriber identity information, sieve in acquired initial recommendation information
Choosing, it is thus achieved that consequently recommended information.
7. method as claimed in claim 4, it is characterised in that described donations information includes: donated
The name of people, age, inhabitation address, electronic pictures, donations purpose and be available for user select donations gold
Volume.
8. the method for claim 1, it is characterised in that described method also includes:
Receive the instruction submitting order to of user.
9. the recommendation method of an information, it is characterised in that including:
Receive the order from user to instruct；
The order data obtaining order based on user instruction and generate, described order data includes that order is believed
Breath；
According to sequence information, commonweal information data base carries out matching inquiry, believe with described order to obtain
The donations information that manner of breathing is corresponding；
In the page of information that the donations information pushing obtained extremely is confirmed an order for user.
10. method as claimed in claim 9, it is characterised in that described sequence information include following at least
Any one:
The classification information of order commodity；
The ship-to information of order commodity.
11. methods as claimed in claim 10, it is characterised in that described according to sequence information, in public affairs
Benefit information database carries out matching inquiry, to obtain the donations information corresponding with described sequence information, tool
Body includes:
According to the classification information of order commodity, commonweal information data base carries out matching inquiry, with obtain with
The information of initially donating that the information of order commodity is corresponding；
Ship-to information according to order commodity, screens in acquired initial donations information, obtains
Obtain and finally donate information.
12. methods as claimed in claim 9, it is characterised in that described donations information includes: donated
The name of people, age, inhabitation address, electronic pictures and donations purpose.
The recommendation apparatus of 13. 1 kinds of information, it is characterised in that including:
First receiver module, instructs for receiving the order from user；
First acquisition module, for obtaining order based on user instruction and the order data that generates, described in order
Forms data includes user profile and sequence information；
Second acquisition module, for according to order data, carries out matching inquiry in recommendation information data base,
To obtain the recommendation information corresponding with described order data；
There is provided module, in the page of the data that push to the recommendation information of acquisition to confirm an order for user.
14. devices as claimed in claim 13, it is characterised in that described sequence information include with down to
Few any one:
The classification information of order commodity；
The ship-to information of order commodity.
15. devices as claimed in claim 13, it is characterised in that described user profile include with down to
Few any one:
The identity information of user；
The preference information of user.
16. devices as claimed in claim 13, it is characterised in that described recommendation information data base is public
Benefit information database, described recommendation information is donations information.
17. devices as claimed in claim 14, it is characterised in that described second acquisition module, specifically
For:
According to the classification information of order commodity, recommendation information data base carries out matching inquiry, with obtain with
The initial recommendation information that the classification information of order commodity is corresponding；
Ship-to information according to order commodity, screens in acquired initial recommendation information, obtains
Obtain consequently recommended information.
18. devices as claimed in claim 15, it is characterised in that described second acquisition module, specifically
For:
According to the preference information of user, recommendation information data base carries out matching inquiry, to obtain and user
The corresponding initial recommendation information of preference information；
According to the inhabitation address information in the identity information of user, carry out in acquired initial recommendation information
Screening, it is thus achieved that consequently recommended information.
19. devices as claimed in claim 16, it is characterised in that described donations information includes: contributed
Give the name of people, age, inhabitation address, electronic pictures, donations purpose and be available for the donations that user selects
The amount of money.
20. devices as claimed in claim 13, it is characterised in that described device also includes: second connects
Receive module, for receiving the instruction submitting order to of user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510109316.9A CN106033577A (en) | 2015-03-12 | 2015-03-12 | Information recommending method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510109316.9A CN106033577A (en) | 2015-03-12 | 2015-03-12 | Information recommending method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106033577A true CN106033577A (en) | 2016-10-19 |
Family
ID=57150555
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510109316.9A Pending CN106033577A (en) | 2015-03-12 | 2015-03-12 | Information recommending method and device |
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| CN (1) | CN106033577A (en) |
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| CN108520457A (en) * | 2018-04-13 | 2018-09-11 | 大连大商天狗电子商务有限公司 | A kind of shopping guide robs single system |
| CN109074560A (en) * | 2018-07-10 | 2018-12-21 | 威富通科技有限公司 | Payment result information processing method and terminal device |
| CN109785081A (en) * | 2019-02-20 | 2019-05-21 | 拉扎斯网络科技（上海）有限公司 | Exchange method, interactive device, readable storage medium storing program for executing and electronic equipment |
| CN110443599A (en) * | 2019-07-08 | 2019-11-12 | 中国平安财产保险股份有限公司 | Production payment processing method, device, computer equipment and storage medium |
| CN110717798A (en) * | 2018-07-12 | 2020-01-21 | 北京京东尚科信息技术有限公司 | Commodity delivery method and device |
| CN111062767A (en) * | 2018-10-16 | 2020-04-24 | 上海汽车集团股份有限公司 | Full-process C2B intelligent matching method and system |
| CN111105286A (en) * | 2019-10-08 | 2020-05-05 | 上海钧正网络科技有限公司 | Network appointment vehicle dispatching method, device, equipment and storage medium |
| CN111311371A (en) * | 2020-02-28 | 2020-06-19 | 刘晓飞 | Shopping request processing method |
| CN112070552A (en) * | 2020-09-15 | 2020-12-11 | 苏宇航 | Electronic commerce platform based on big data |
| CN113194109A (en) * | 2020-01-14 | 2021-07-30 | 百度在线网络技术（北京）有限公司 | Method and device for pushing information |
| CN113632126A (en) * | 2019-03-27 | 2021-11-09 | 日本食品制造合资会社 | Project recommendation system |
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| CN109785081A (en) * | 2019-02-20 | 2019-05-21 | 拉扎斯网络科技（上海）有限公司 | Exchange method, interactive device, readable storage medium storing program for executing and electronic equipment |
| CN113632126A (en) * | 2019-03-27 | 2021-11-09 | 日本食品制造合资会社 | Project recommendation system |
| CN110443599A (en) * | 2019-07-08 | 2019-11-12 | 中国平安财产保险股份有限公司 | Production payment processing method, device, computer equipment and storage medium |
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