CN110782278B - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
- Publication number
- CN110782278B CN110782278B CN201910978923.7A CN201910978923A CN110782278B CN 110782278 B CN110782278 B CN 110782278B CN 201910978923 A CN201910978923 A CN 201910978923A CN 110782278 B CN110782278 B CN 110782278B
- Authority
- CN
- China
- Prior art keywords
- transfer
- user
- resource
- party
- vector
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000003672 processing method Methods 0.000 title abstract description 12
- 238000012546 transfer Methods 0.000 claims abstract description 351
- 238000000034 method Methods 0.000 claims abstract description 43
- 238000012545 processing Methods 0.000 claims abstract description 27
- 239000013598 vector Substances 0.000 claims description 83
- 238000013507 mapping Methods 0.000 claims description 32
- 230000000875 corresponding effect Effects 0.000 claims description 27
- 230000006870 function Effects 0.000 claims description 27
- 238000003860 storage Methods 0.000 claims description 22
- 238000004590 computer program Methods 0.000 claims description 18
- 230000002441 reversible effect Effects 0.000 claims description 6
- 230000002596 correlated effect Effects 0.000 claims description 4
- 239000000126 substance Substances 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 14
- 230000002829 reductive effect Effects 0.000 description 14
- 230000008569 process Effects 0.000 description 13
- 238000004422 calculation algorithm Methods 0.000 description 9
- 230000000694 effects Effects 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000036961 partial effect Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000011449 brick Substances 0.000 description 1
- 238000010924 continuous production Methods 0.000 description 1
- 239000002537 cosmetic Substances 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000004570 mortar (masonry) Substances 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000011022 operating instruction Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000012887 quadratic function Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0611—Request for offers or quotes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
Abstract
The embodiment of the specification discloses a data processing method and a data processing device, wherein the method comprises the following steps: determining a resource transfer-out party; the resource transfer party comprises a transfer object, and the transfer object corresponds to an original transfer cost; determining users who may request to transfer to the transfer object; and displaying the group transfer cost of the transfer object in a group transfer product to the user, wherein the group transfer product is used for transferring the transfer object to the user who is added into the group transfer product, and the group transfer cost is less than the original transfer cost.
Description
Technical Field
The embodiment of the specification relates to the technical field of internet, in particular to a data processing method and device.
Background
In the existing resource transfer system, a resource transfer-out party provides a transfer object, and when a user requests to transfer to the transfer object, the resource transfer-out party can transfer the transfer object to the user. In practical applications, the transfer cost of the transfer object is high, and therefore, a scheme for reducing the transfer cost of the transfer object is needed urgently.
Disclosure of Invention
The embodiment of the specification provides a data processing method and device, which are used for reducing the transfer cost of a transfer object.
The embodiment of the specification adopts the following technical scheme:
in a first aspect, a data processing method is provided, including:
determining a resource transfer-out party; the resource transfer party comprises a transfer object, and the transfer object corresponds to an original transfer cost;
determining users who may request to transfer to the transfer object;
displaying the group transfer cost of the transfer object in the group transfer product to the user; wherein the group transfer product is used for transferring the user added into the group transfer product to the transfer object, and the group transfer cost is less than the original transfer cost.
In a second aspect, a data processing apparatus is provided, including:
the resource transfer party determining module is used for determining a resource transfer party; the resource transfer party comprises a transfer object, and the transfer object corresponds to an original transfer cost;
the user determination module is used for determining users which may request to transfer to the transfer object;
and the processing module is used for displaying the group transfer cost of the transfer object in a group transfer product to the user, wherein the group transfer product is used for transferring the transfer object to the user added into the group transfer product, and the group transfer cost is less than the original transfer cost.
In a third aspect, an electronic device is provided, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor performing the operations of:
determining a resource transfer-out party; the resource transfer party comprises a transfer object, and the transfer object corresponds to an original transfer cost;
determining users who may request to transfer to the transfer object;
displaying the group transfer cost of the transfer object in the group transfer product to the user; the group transfer product is used for transferring the user added into the group transfer product to the transfer object, and the group transfer cost is smaller than the original transfer cost.
In a fourth aspect, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the operations of:
determining a resource transfer-out party; the resource transfer party comprises a transfer object, and the transfer object corresponds to an original transfer cost;
determining users who may request to transfer to the transfer object;
displaying the group transfer cost of the transfer object in the group transfer product to the user; the group transfer product is used for transferring the user added into the group transfer product to the transfer object, and the group transfer cost is smaller than the original transfer cost.
In one embodiment of the description, the group transfer product is used for transferring the user added into the group transfer product to the transfer object, so that the process of transferring the user to the transfer object can be uniformly carried out, the transferring processing time of a resource transferring party is reduced, the transferring efficiency is improved, and the transfer cost of the transfer object is reduced conveniently; meanwhile, in one embodiment of the description, since a user who may request to transfer to a transfer object is actively determined, and the group transfer cost of the transfer object in a group transfer product is displayed to the user, and the group transfer cost is less than the original transfer cost of the transfer object, more users can be attracted to request to transfer to the transfer object, so that the per-capita maintenance cost of a resource transfer party is reduced, and the transfer cost of the transfer object can also be reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure in any way. In the drawings:
FIG. 1 is a flow chart of a data processing method provided in an embodiment of the present disclosure;
FIG. 2 is a flow chart illustrating a method for group purchasing of merchandise according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of the system architecture and partial flow implementation in the embodiment shown in FIG. 2;
FIG. 4 is a block diagram of a data processing apparatus according to an embodiment of the present disclosure;
fig. 5 is a schematic diagram of a hardware structure of an electronic device for implementing various embodiments of the present specification.
Detailed Description
In order to make the purpose, technical solutions and advantages of this document more clear, the technical solutions of this document will be clearly and completely described below with reference to the specific embodiments of this specification and the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of this document, and not all embodiments. All other embodiments obtained by a person skilled in the art without making any inventive step based on the embodiments in this description belong to the protection scope of this document.
In order to better understand the resource transfer center, the resource transfer party, the group transfer product, the transfer object, and the transfer cost in each embodiment of the present specification, an embodiment of the present specification mainly takes a shopping scenario as an example for illustration, and certainly, the technical solution provided by the embodiment of the present specification is not limited to the shopping scenario:
the resource transfer-out center may be, for example, a business establishment, which may generally be considered an area where business activities occur more frequently and intensively, and a large number of shops are included in the business establishment.
The resource transfer-out party may be, for example, a shop in a business circle. Typically, the store is located off-line to a physical store for the user to enter the store to purchase the goods; meanwhile, the shop also comprises an online store for the user to purchase goods online. The embodiment of the present specification is described mainly by taking an example in which a user enters a physical store and purchases a product online.
The group transfer product, for example, may be one or more items purchased by a plurality of users in a group at a store.
The transfer object, for example, may be one or more items in a store.
The transfer cost, for example, may be a purchase price of the commodity, and the transfer cost includes a group transfer cost and an original transfer cost. The group transfer cost may be, for example, a group price when the multi-user group purchases the commodity; the original transfer cost may be, for example, the original price of the above-mentioned commodity. In the embodiment of the specification, the group price is lower than the original price of the commodity for the same commodity. Preferably, the more users of the group, the lower the price of the item, and of course, the lowest price is not less than the lowest price negotiated by the store (e.g., cost price).
As shown in fig. 1, one embodiment of the present specification provides a data processing method 100, including the steps of:
s102: and determining a resource transfer-out party, wherein the resource transfer-out party comprises a transfer object, and the transfer object corresponds to the original transfer cost.
The resource roll-out party can be a shop, or a network resource server, for example; the transfer object may be, for example, a commodity in a shop, or a network resource that can be provided by a network resource server, such as an internet resource like a video file; the original transfer cost may be, for example, an original price of the commodity, or a resource overhead required for transferring the network resource to the user under normal conditions.
In the case where the resource roll-out is a store, this step may optionally determine the resource roll-out based on at least one of the following:
1) Determining a resource transfer-out party based on the position information of the user; and
2) And determining a resource transfer-out party based on the APP access condition of the user.
Specifically, for example, a resource transfer party near the user (for example, a physical store under a shop line) is detected based on the location information of the user, and of course, the number of the detected resource transfer parties may be plural; then based on the user label of the user, determining a resource transfer party matched with the user label; wherein the user label reflects the transfer object type preferred by the user. The embodiment can increase the passenger flow of the shops and promote the commodity sales volume in the shops.
For another example, based on the APP (e.g., shopping APP, payment APP, etc.) access of the mobile terminal of the user, the resource transfer party (e.g., online store on a shop) where the user browses and accesses is determined.
Considering that shops generally include off-line brick and mortar stores and on-line online stores, in a preferred embodiment, the step may detect resource roll-outs in the vicinity of the user based on the user's location information; based on a user label of the user, pushing one or more resource transfer parties which are close to the user and matched with the user label to the user; and determining the resource roll-out party accessed by the user through the APP in the pushed resource roll-out party.
According to the embodiment, the shops are determined according to the position information of the user, the user label and the APP access condition of the user, the accuracy of the shops recommended to the user can be improved, and the probability of purchasing commodities by a subsequent user group is improved conveniently.
S104: and determining users which can request to transfer to the transfer object.
The step S102 is to determine the resource transferring party based on the user, and after determining the resource transferring party, the step may determine the user who may request to transfer to the transfer object based on the transfer object in the resource transferring party.
The user who may request transfer to the transfer object may include, for example, at least one of: users near the resource roll-out in S102; a user accessing the resource roll-out party online; a user who concerns the resource transfer party; a user who focuses on the transfer object; users near the resource roll-out and whose user tags match the objects to be transferred, etc.
The "attention resource transfer party" mentioned above may specifically be a website of the resource transfer party collected in the APP; the "paying attention to the transfer object" may specifically be adding the transfer object to a shopping cart, collecting a website of the transfer object, or the like.
It should be noted that the transfer object mentioned in this step may be a specified transfer object in the resource transfer-out party, for example, the transfer object with the highest sales volume, the transfer object with the highest matching degree with the user tag, the transfer object with the highest matching degree with the transfer record of the user history transfer object, the transfer object concerned by the user, and so on. Of course, any transfer target in the resource transfer destination is also possible.
S106: and displaying the group transfer cost of the transfer object in the group transfer product to the user, wherein the group transfer cost is less than the original transfer cost.
The group transfer product is used for transferring the users added into the group transfer product into the transfer object.
Specifically, for example, a plurality of users may group a certain commodity to purchase, and the group price of the commodity is less than the original price; for another example, multiple users can download network resources in the same time period, so that the network resource server can provide network resources for the users in a unified manner, and enter a sleep state at other time ends, which is equivalent to reducing resource overhead.
In the embodiment of the specification, the group transfer product is used for transferring the user who is added into the group transfer product to the transfer object, so that the process of transferring the user to the transfer object can be uniformly carried out, the transferring processing time of a resource transferring party is reduced, the transferring efficiency is improved, and the transfer cost of the transfer object is conveniently reduced.
Meanwhile, the embodiment of the specification actively determines the users who may request to transfer the transfer object, and displays the group transfer cost of the transfer object in the group transfer product to the users, wherein the group transfer cost is less than the original transfer cost of the transfer object, so that more users can be attracted to request to transfer the transfer object, the per-capita maintenance cost of a resource transfer party is reduced conveniently, and the transfer cost of the transfer object can be reduced as well.
It is mentioned in S102 of the above embodiment that the resource transfer-out party can be determined based on the location information of the user, and before S102, the location information of the user can also be obtained, of course, the step of obtaining the location information of the user can be a continuous process,
thus, the determining the resource transfer-out party mentioned in the above embodiment includes: based on the position information of the user, if the user is detected to be positioned in a preset range of a resource roll-out center, pushing a resource roll-out party to the user; wherein, the resource transfer-out center comprises the resource transfer-out party; and if the user is detected to access the resource transfer-out party, recording the resource transfer-out party as the determined resource transfer-out party. The resource transfer-out center in this embodiment may specifically be a business circle, and the resource transfer-out party may specifically be a shop.
Optionally, the determining of the user who may request to transfer to the transfer object in the above embodiment includes:
1) Generating a first vector; wherein the first vector represents a mapping relationship between the user and the resource roll-out center. For example, if it is detected that the user enters a predetermined range of the resource roll-out center, a first vector P (x, y) is generated, where the vector represents a mapping relationship between the user x and the resource roll-out center y, where x may represent the user and y may represent the resource roll-out center.
2) Summing the first vector and the second vector to obtain a third vector; wherein the second vector represents a mapping relationship between the resource transfer-out center and the resource transfer-out party, and the third vector represents a mapping relationship between the user and the resource transfer-out party;
3) And obtaining users which possibly request to transfer into the transfer object based on the third vector.
Optionally, obtaining the user who may request transfer-in of the transfer object includes:
performing negation operation on the third vector to obtain a reverse quantity of the third vector;
and obtaining users which possibly request to transfer to the transfer object based on the reverse vector of the third vector.
In the above embodiments of the present specification, the user, the resource transfer party, and the resource transfer party center use direct vector storage, so that when a user who may request transfer to a transfer object is obtained, simple vector operation can be used, and resource overhead required for storage and operation can be greatly reduced.
For the above mentioned reduction of the resource overhead required for storage and operation, the following will be exemplified: due to the large business circle range, the user-business circle mapping (the first vector) is stable during the period of time that the user is in the business circle, because the user cannot rapidly walk back and forth among multiple business circles; in addition, the business-to-business mapping (the second vector mentioned above) is stable for a long time, and the only change with a high probability is the user-to-business mapping, because when the user enters a business, if the user does not find the desired goods to be purchased, he will exit the business next step to continue browsing other businesses.
In the embodiment of the present disclosure, the third vector is calculated by using the first vector and the second vector which are relatively stable and are not easy to change, instead of processing the user-shop mapping relationship which is easy to change in real time (the user may switch to browse multiple shops quickly), so that the resource overhead required by storage and operation is reduced.
The group transfer cost of the transfer object in the group transfer product shown to the user in the above embodiments includes: and if the user request for transferring the transfer object is detected, displaying the group transfer cost of the transfer object in the group transfer product to the user.
According to the embodiment, the group price of the commodity can be displayed to the user when the user requests to purchase the commodity, so that the accuracy of the display time is improved, and the user experience is improved.
Optionally, the embodiment may also show the number of users in the group transfer product to the user; the group transfer cost is corresponding to a discount value, the discount value is positively correlated with the user quantity, and the discount value is obtained according to the ratio of the group transfer cost to the original transfer cost. The embodiment is not only beneficial to shop sales promotion, but also can increase the viscosity of shop-user, attract more users to buy goods and increase the sales volume of the goods.
Optionally, the discount value and the number of users in the group transfer product satisfy a preset function, for example, the discount value and the number of users satisfy an easeInOut function with the number of users as an independent variable and the discount value as a dependent variable.
The preset function comprises a first tangent slope, a second tangent slope and a third tangent slope, wherein the first tangent slope is smaller than the second tangent slope, and the second tangent slope is larger than the third tangent slope; the slope of the first tangent line is smaller than that of the second tangent line, and the slope of the second tangent line is larger than that of the third tangent line.
The first tangent slope is used for representing the tangent slope of the preset function when the number of the users is smaller than a first threshold; the second tangent slope is used for representing the tangent slope of the preset function when the number of the users is greater than or equal to the first threshold but less than a second threshold; the third tangent slope is used for representing the tangent slope of the preset function when the number of the users is larger than or equal to the second threshold.
The magnitude of the slope can generally reflect how fast the discount value increases with the number of users, for example, when the number of users is between 0 and 20 (i.e. less than 20), the discount value increases slowly with the increase of the number of users; the number of users is between 20 and 100 (greater than or equal to 20 and less than 100), the discount value increases rapidly as the number of users increases; the number of users is between 100 and a preset maximum value, and the discount value is slowly increased along with the increase of the number of users, wherein the maximum discount value which can be reached does not exceed the preset maximum discount value.
The embodiment can attract more users to buy commodities and increase the commodity sales volume.
Optionally, after determining, in S104, a user who may request to transfer to the transfer object, the embodiment 100 may further include the following steps: the user (which may be any one of the users determined in S104) is presented with user information of other users who may request transfer to the transfer target.
Further optionally, a session connection may also be established between users who may request to transfer to the transfer object, for example, an instant messaging session group may be established.
Generally, a plurality of users (for example, users having purchase intention for a certain commodity) who may request to transfer to the transfer object may be provided, and this embodiment may inform the users which users have purchase intention for a certain commodity at the same time, and establish session connection between the users, so as to facilitate timely communication between the users, to piece together and buy the commodity, and improve user experience.
FIG. 2 is a flow diagram of an implementation of a method for organizing a group for purchase of items according to an embodiment of the present description; FIG. 3 is a schematic diagram of the system architecture and a partial flow implementation in the embodiment shown in FIG. 2. In this embodiment, the resource roll-out center may be a business circle; the resource transfer-out party can be a shop in a business district, and the shop stores an online physical store and an online store; the group transfer product can be a certain commodity purchased by a plurality of user groups; the transfer object may be a certain item in a shop; the group transfer cost can be the group price when the multi-user group purchases the commodity; the original transfer cost may be an original price of the good.
As shown in fig. 2, this embodiment includes the steps of:
s202: location information of a user is acquired.
As shown in fig. 3, in the system architecture diagram implemented in this specification, the client includes a Location Based Service (LBS) collector, so that the LBS collector of the client can obtain the Location information of the user.
S204: and if the user is detected to enter the business circle fence, pushing the shop list to the user.
Typically, when a user enters a business segment, such as traveling to a city (whether domestic or cross-border), it may be desirable to purchase a particular type of item. Therefore, in this step, based on the location information of the user, if the user is detected to enter the business circle fence, the store list is pushed to the user.
The store in the store is more, while the display interface of the terminal (e.g. mobile phone) of the user is limited, and the user usually prefers to browse the top stores in the store list, so the rank order of the stores in the store list can be implemented with reference to the following several embodiments:
in one embodiment, the ranking is based on good word-of-mouth and high traffic, with better word-of-mouth and higher traffic ranking the higher the ranking of the shops. The word-of-mouth mentioned here can be obtained according to the evaluation content or score of the historical purchasing user; the traffic mentioned here can be obtained based on the online visit amount of the shop, the online concern amount, and the like.
In another embodiment, the ranking is based on the user's location information, with businesses that are closer to the user's location ranking higher. Generally, the range of the business circle is large, the length or the width can reach several kilometers, and the current LBS positioning can control the position error to be in the range of several meters, so that the embodiment can preferentially display the shop nearest to the user, and the user can conveniently go to the store for shopping in time.
In another embodiment, the ranking in the shop list is determined based on the user tags of the user and the historical shopping records of the user, and the shops with higher matching degree with the user tags and the historical shopping are ranked higher. Generally, the user tag reflects a transfer object type preferred by the user, for example, the user tag may be a type such as an electronic product, outdoor sports, clothes, cosmetics, and the like. The user tags mentioned here and the historical shopping records can be obtained based on the user information module in the client shown in fig. 3.
Of course, in practical applications, the ranking order in the shop list may be determined in combination with the above embodiments, for example, the ranking order in the shop list may be determined in combination with the location information of the user, the user tag, the historical shopping records, and the shop public praise and traffic. In addition, a store with high preferential strength can be recommended for the user by combining the feature ticket list, the business turn ticket list and the top ticket list shown in fig. 3.
S206: the shops visited by the user are determined.
In the above S204, there are more shops in the shop list pushed to the user, and in this step, the number of shops visited by the user may be monitored specifically, of course, there may be a plurality of shops visited by the user, and this is described by taking one of the shops as an example.
Preferably, the embodiment determines the shops visited by the user in a vector manner, that is, the vector is used to record the mapping relationship between the user and the shop, and the specific implementation process is as follows:
after S204 detects that the user enters the business circle fence, the mapping relation p of the user and the business circle is obtained through a user-business circle algorithm 1 (x 1 ，y 1 )、p 2 (x 2 ，y 1 )、……p n (x m ，y 1 ) I.e., the first vector mentioned earlier, and stores it in the user-business circle fence home pool shown in fig. 3. In the first vector, x represents a unique user identifier, and the labels at the lower right corner represent different users; y represents the unique identification of the quotient circle.
After the mapping relationship between the user and the business circle is obtained, the business circle-business splitting pool (with the second vector stored) shown in fig. 3 may be matched to obtain the mapping relationship p 'between the user and the business' 1 (y 1 ，z 1 )、p' 2 (y 1 ，z 2 )、……、p' 2 (y 1 ，z n ) I.e., the third vector mentioned earlier, and stores it in the user-shop unified pool shown in fig. 3. In the third vector, y represents the unique identity of the business circle, z represents the unique identity of the business, and the labels in the lower right corner represent different businesses.
In order to reduce resource overhead of traversal and calculation, the user, the business circle, and the business of the embodiment of the present specification use direct vector storage, so that, when calculating the user-business mapping relationship, it is not necessary to use traversal and logic calculation, and it is only necessary to add vectors directly:
p 1 (x 1 ，y 1 )+p' 1 (y 1 ，z 1 )＝p” 1 (x 1 ，z 1 )。
the obtained p' is the mapping relation between the user and the shop, and the algorithm is called as algorithm f 1 。
S208: a number of users that access the store is determined.
In the above steps, the algorithm f is passed 1 Obtaining a user-shop vector list, and obtaining a shop-user mapping relationship in order to inform other users of which users of the shop are paying attention to or visiting the shop 2 The operation process of (2) is as follows:
to p " 1 (x 1 ，z 1 ) The ordinate of (a) is taken to be z 1 Unchanged, for f 1 The result of (a) is inverted, i.e. f 2 ＝-f 1 Then p is obtained " n (z n ，x n ) Set, attention shop z 1 The users of (2) will be normalized together, see the user shop normalization pool shown in fig. 3, which greatly reduces the resource overhead required for storage and computation.
The embodiment of the specification can inform the user of which users are paying attention to the shop currently through the interaction of the APP and the background system, certainly, the user can also inform other users synchronously when entering the shop, then the user can group to the shop for transaction, and conversation and exchange between the users can be realized through the instant messaging system before and during action.
S210: items that the user is likely to purchase are determined.
As mentioned herein, items that may be purchased, for example, items that the user is interested in, items that the user requests to purchase, items that sell in the highest amount, items that match the user's tag in the highest degree, items that match the user's historical purchases, and so on.
S212: and displaying the group price of the commodity to the user, wherein the discount value of the commodity is positively correlated with the number of the users in the group.
For the above mentioned group implementation process, in one embodiment, the store and the operator negotiate a group time, when the group starts, the user goes to the store to purchase according to the original price of the commodity, when the group time ends, the group moves back and returns a price difference to the user, the price difference is determined according to the number of people in the group, and the larger the number of people in the group, the higher the price difference is. In another embodiment, when the first user initiates the group, the group time is determined, and after the group time is over, the discount value is generated according to the number of the group people, and the discount value is higher when the number of the group people is more.
In practical application, after a user group is gathered to a shop, the commodity interested by various users in the shop needs to be discounted with increased strength, but discount of discount cannot be infinitely low, the user group firstly needs to negotiate with the shop to seize the lowest price of a certain commodity, and then the more users group the commodity, the greater discount strength is, so that the aim of increasing the viscosity of app-users, user-users and user-shops is fulfilled.
In this embodiment, the store-item list information recalled from the search engine shown in FIG. 3 may also be done using a vector recall.
In one particular embodiment, the commodity price for a group may be determined based on the following formula:
wherein f _ easein = m 1 ×pow3(m 2 )+m 3
P represents the lowest price coefficient of the commodity;&sum represents the number of users of the plurality of users within the group; m is a unit of 1 、m 2 And m 3 Is a constant.
The embodiment adopts sin function, and the discount is obvious when a small number of users exist, (sin&sum) represents a decay function, with the more users, the closer to approximately the lowest of the goodDiscounting; pow3 is a gradually increasing curve, which may be a quadratic function or any non-linear increasing function, so f 3 The whole is the combination of the decay function and the f _ easein function.
Alternatively, the commodity price of the group may be determined based on the following formula:
wherein the content of the first and second substances,
p represents the lowest cost coefficient of the commodity;&sum represents the number of users of the plurality of users within the group; n, m 1 、m 2 And m 3 Is a constant.
In the embodiment, when the users in the group are few, the discount effect is effective but not obvious, when the users are many, the discount strength is obvious, and when the users are particularly many, the discount effect tends to be stable horizontally.
The embodiments of the present specification adopt the above f 1 、f 2 And f 3 The three algorithms are used cooperatively, so that the mapping information of the user and the shop can be quickly obtained, and when group pricing is carried out, f is arranged in the group discount pricing device shown in the figure 3 3 The algorithm can quickly obtain the group price, discount value and the like of the commodity.
Optionally, this embodiment may further include the following steps: and establishing session connection for the user which possibly requests to transfer to the transfer object.
Through S208 to S212, the embodiment of the present specification may also notify the user which other users have the purchasing intention for a certain commodity at the same time, and establish a session connection between the users, so that the users can communicate with each other in time to share the group purchasing commodity, thereby improving the user experience.
For ease of understanding, the above embodiments will be briefly illustrated below, for example: after detecting that a plurality of users enter a business circleBy an algorithm f 1 Obtaining: mapping information of p1 (zhangsan, oetlae), p2 (liquad, oetlae), wherein oetlae represents a quotient circle.
The method comprises the steps of pushing shop Chechen to users to obtain two users of Zhang III and Li IV for browsing and paying attention to Chechen, and carrying out algorithm f 2 Obtaining a vector set of (Chechen, zhang III), (Chechen, li IV) and the like;
the user can group and purchase commodities in shop Chechen, the online flow is quickly guided to offline, and then shop-commodity list information such as Chechen, lipstick, chechen and foundation are recalled according to vectors through a search engine.
When Zhang Sanli four purchases the same type of commodities or the same commodity, the algorithm f is used 3 The discounted price after the two users are grouped is obtained, which is not only beneficial to shop promotion and increases the shop-user viscosity, but also can realize the communication between users in the grouping process, thereby increasing the viscosity between users.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The above description section introduces an embodiment of the data processing method in detail, as shown in fig. 4, and the present specification further provides a data processing apparatus 400, as shown in fig. 4, where the apparatus 400 includes:
a resource transfer party determining module 402, which may be configured to determine a resource transfer party; the resource transfer party comprises a transfer object, and the transfer object corresponds to an original transfer cost;
a user determination module 404, configured to determine a user who may request to transfer to the transfer object;
the processing module 406 may be configured to display, to the user, a group transfer cost of the transfer object in a group transfer product, where the group transfer product is used to transfer the transfer object to the user who joins the group transfer product, and the group transfer cost is smaller than the original transfer cost.
In the embodiment of the description, the group transfer product is used for transferring the user added into the group transfer product to the transfer object, so that the process of transferring the user to the transfer object can be uniformly carried out, the transferring processing time of a resource transferring party is reduced, the transferring efficiency is improved, and the transfer cost of the transfer object is conveniently reduced.
Meanwhile, the embodiment of the specification actively determines the users who may request to transfer the transfer object, and displays the group transfer cost of the transfer object in the group transfer product to the users, wherein the group transfer cost is less than the original transfer cost of the transfer object, so that more users can be attracted to request to transfer the transfer object, the per-capita maintenance cost of a resource transfer party is reduced conveniently, and the transfer cost of the transfer object can be reduced as well.
Optionally, as an embodiment, the resource roll-out determining module 402 may be configured to perform at least one of the following:
determining the resource roll-out party based on the location information of the user; and
and determining the resource transfer-out party based on the APP access condition of the user.
Optionally, as an embodiment, the apparatus 400 further includes a location information obtaining module, which may be configured to obtain location information of the user; a resource roll-out determining module 402, configured to, based on the location information of the user, if it is detected that the user is located within a predetermined range of a resource roll-out center, push the resource roll-out to the user; wherein the resource transfer-out center comprises the resource transfer-out party; and if the user is detected to access the resource roll-out party, recording the resource roll-out party.
Optionally, as an embodiment, the resource roll-out determining module 402 may push the resource roll-out to the user based on at least one of the following:
a user tag of the user, the user tag reflecting a transfer object type preferred by the user; and
and transferring the history of the user to a record.
Alternatively, as an embodiment, the user determination module 404 may be used for
Generating a first vector; wherein the first vector represents a mapping relationship between the user and the resource roll-out center;
summing the first vector and the second vector to obtain a third vector; wherein the second vector represents a mapping relationship between the resource roll-out center and the resource roll-out party, and the third vector represents a mapping relationship between the user and the resource roll-out party;
and obtaining users which possibly request to transfer to the transfer object based on the third vector.
Optionally, as an embodiment, the user determining module 404 may perform an inverting operation on the third vector to obtain a reverse quantity of the third vector;
and obtaining users which possibly request to transfer to the transfer object based on the reverse vector of the third vector.
Optionally, as an embodiment, the processing module 406 may be configured to, if it is detected that the user requests to transfer to the transfer object, show the group transfer cost of the transfer object in a group transfer product to the user.
Optionally, as an embodiment, the processing module 406 may also be used for
Displaying the number of users in the group transfer product to the user;
the group transfer cost corresponds to a discount value, the discount value is positively correlated with the user quantity, and the discount value is obtained according to the ratio of the group transfer cost to the original transfer cost.
Optionally, as an embodiment, the discount value and the number of users satisfy a preset function, where the preset function includes a first tangent slope, a second tangent slope, and a third tangent slope, the first tangent slope is smaller than the second tangent slope, and the second tangent slope is larger than the third tangent slope; wherein the first tangent slope is used for representing the tangent slope of the preset function when the number of the users is smaller than a first threshold; the second tangent slope is used for representing the tangent slope of the preset function when the number of the users is greater than or equal to the first threshold but less than a second threshold; the third tangent slope is used for representing the tangent slope of the preset function when the number of the users is larger than or equal to the second threshold.
Optionally, as an embodiment, the processing module 406 may be further configured to present user information of other users who may request to transfer to the transfer object to the user.
Optionally, as an embodiment, the processing module 406 may be further configured to establish a session connection for a user that may request to transfer to the transfer object.
The data processing apparatus 400 according to the embodiment of the present specification may refer to the flow corresponding to the data processing method 100 in the embodiment of the foregoing text description, and each unit/module and the other operations and/or functions in the data processing apparatus 400 are respectively for realizing the corresponding flow in the data processing method 100 and achieving the same or equivalent technical effects, and are not repeated herein for brevity.
An electronic device according to an embodiment of the present specification will be described in detail below with reference to fig. 5. Referring to fig. 5, at a hardware level, the electronic device includes a processor, optionally an internal bus, a network interface, and a memory. As shown in fig. 5, the Memory may include a Memory, such as a Random-Access Memory (RAM), and may also include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware needed to implement other services.
The processor, the network interface, and the memory may be interconnected by an internal bus, which may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 5, but this does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
The processor reads a corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form … … equipment on a logic level. The processor executes the program stored in the memory and is specifically configured to perform the operations of the method embodiments described herein.
The methods performed by the methods and apparatuses disclosed in the embodiments of fig. 1 to 3 may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present specification may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present specification may be embodied directly in a hardware decoding processor, or in a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The electronic device shown in fig. 5 may also execute the methods shown in fig. 1 to fig. 3, and implement the functions of the data processing method in the embodiments shown in fig. 1 to fig. 3, which are not described herein again in this specification.
Of course, besides the software implementation, the electronic device in this document does not exclude other implementations, such as logic devices or a combination of software and hardware, and the like, that is, the execution main bodies of the following processing flows are not limited to the logic units, and may also be hardware or logic devices.
Embodiments of the present disclosure further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above method embodiments, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
As will be appreciated by one skilled in the art, embodiments of the present document may be provided as a method, system, or computer program product. Accordingly, this document can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, this document may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
This document describes methods, apparatus (systems), and computer program products with reference to flowchart illustrations and/or block diagrams in accordance with embodiments of the present description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The above are only examples of this document and are not intended to limit this document. Various modifications and changes may occur to those skilled in the art from this document. Any modifications, equivalents, improvements, etc. which come within the spirit and principle of the disclosure are intended to be included within the scope of the claims of this document.
Claims (13)
1. A method of data processing, comprising:
determining a resource transfer party corresponding to a user; the resource roll-out party corresponding to the user comprises at least one of a resource roll-out party near the user, a resource roll-out party matched with a user label of the user and a resource roll-out party browsed and accessed by the user;
generating a first vector; the first vector represents a mapping relation between users entering a preset range of a resource roll-out center and the resource roll-out center;
summing the first vector and the second vector to obtain a third vector; wherein the second vector represents a mapping relationship between the resource transfer-out center and the resource transfer-out party, and the third vector represents a mapping relationship between users entering a predetermined range of the resource transfer-out center and the resource transfer-out party;
obtaining other users which possibly request to transfer to the transfer object based on the third vector;
displaying the group transfer cost of the transfer object in the group transfer product to the user corresponding to the resource transfer party and other users possibly requesting to transfer the transfer object; the group transfer product is used for transferring the user added into the group transfer product to the transfer object, and the group transfer cost is smaller than the original transfer cost.
2. The method of claim 1, wherein the determining the resource roll-out party corresponding to the user comprises at least one of:
determining a resource transfer-out party corresponding to the user based on the position information of the user; and
and determining a resource transfer-out party corresponding to the user based on the APP access condition of the user.
3. The method of claim 2, prior to determining the corresponding resource roll-out for the user based on the location information of the user, the method further comprising:
acquiring the position information of the user;
the determining the resource transfer party corresponding to the user comprises:
based on the position information of the user, if the user is detected to be located in a preset range of a resource transfer-out center, pushing the resource transfer-out party to the user; wherein the resource transfer-out center comprises the resource transfer-out party;
and if the user is detected to access the resource roll-out party, recording the resource roll-out party.
4. The method of claim 3, the pushing the resource roll-out to the user comprising: pushing the resource roll-out party to the user based on at least one of:
a user tag of the user, wherein the user tag reflects a transfer object type preferred by the user; and
and transferring the history of the user to a record.
5. The method of claim 1, deriving users likely to request transfer-in to a transfer object based on the third vector comprises:
performing negation operation on the third vector to obtain a reverse quantity of the third vector;
and obtaining other users which possibly request to transfer into the transfer object based on the reverse vector of the third vector.
6. The method according to any one of claims 1 to 5, wherein the step of displaying the group transfer cost of the transfer object in the group transfer product to the user corresponding to the resource roll-out party and other users who may request to transfer the transfer object comprises the following steps:
and if the user request corresponding to the resource transfer party is detected to transfer to the transfer object, displaying the group transfer cost of the transfer object in the group transfer product to the user corresponding to the resource transfer party.
7. The method of claim 6, further comprising:
displaying the number of users in the group transfer product to the user corresponding to the resource transfer party;
the group transfer cost corresponds to a discount value, the discount value is positively correlated with the user quantity, and the discount value is obtained according to the ratio of the group transfer cost to the original transfer cost.
8. The method of claim 7, the discount value and the number of users satisfying a preset function, the preset function comprising a first tangent slope, a second tangent slope, and a third tangent slope, the first tangent slope being less than the second tangent slope, the second tangent slope being greater than the third tangent slope; wherein the content of the first and second substances,
the first tangent slope is used for representing the tangent slope of the preset function when the number of the users is smaller than a first threshold; the second tangent slope is used for representing the tangent slope of the preset function when the number of the users is greater than or equal to the first threshold but less than a second threshold; the third tangent slope is used for representing the tangent slope of the preset function when the number of the users is larger than or equal to the second threshold.
9. The method of claim 1, further comprising:
and displaying user information of other users which may request to transfer the transfer object to the user corresponding to the resource transfer-out party.
10. The method of claim 9, further comprising:
and establishing session connection for the user corresponding to the resource transfer-out party and other users possibly requesting to transfer to the transfer object.
11. A data processing apparatus comprising:
the resource transfer party determining module is used for determining a resource transfer party corresponding to the user; the resource transfer-out party corresponding to the user comprises at least one of a resource transfer-out party near the user, a resource transfer-out party matched with a user tag of the user and a resource transfer-out party browsed and accessed by the user;
the user determination module generates a first vector, performs summation operation on the first vector and a second vector to obtain a third vector, and obtains other users possibly requesting to transfer to the transfer object based on the third vector; wherein the first vector represents a mapping relationship between users entering a predetermined range of a resource transfer-out center and the resource transfer-out center, the second vector represents a mapping relationship between the resource transfer-out center and the resource transfer-out party, and the third vector represents a mapping relationship between users entering the predetermined range of the resource transfer-out center and the resource transfer-out party;
the processing module is used for displaying the group transfer cost of the transfer object in the group transfer product to the user corresponding to the resource transfer party and other users possibly requesting to transfer the transfer object; wherein the group transfer product is used for transferring the user added into the group transfer product to the transfer object, and the group transfer cost is less than the original transfer cost.
12. An electronic device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor performing the operations of:
determining a resource transfer party corresponding to a user; the resource transfer-out party corresponding to the user comprises at least one of a resource transfer-out party near the user, a resource transfer-out party matched with a user tag of the user and a resource transfer-out party browsed and accessed by the user;
generating a first vector; the first vector represents the mapping relation between users entering a preset range of the resource roll-out center and the resource roll-out center;
summing the first vector and the second vector to obtain a third vector; wherein the second vector represents a mapping relationship between the resource transfer-out center and the resource transfer-out party, and the third vector represents a mapping relationship between users entering a predetermined range of the resource transfer-out center and the resource transfer-out party;
obtaining other users which possibly request to transfer to the transfer object based on the third vector;
displaying the group transfer cost of the transfer object in the group transfer product to the user corresponding to the resource roll-out party and other users possibly requesting to transfer the transfer object; the group transfer product is used for transferring the user added into the group transfer product to the transfer object, and the group transfer cost is smaller than the original transfer cost.
13. A computer-readable storage medium having a computer program stored thereon, which when executed by a processor, performs operations comprising:
determining a resource transfer party corresponding to a user; the resource transfer-out party corresponding to the user comprises at least one of a resource transfer-out party near the user, a resource transfer-out party matched with a user tag of the user and a resource transfer-out party browsed and accessed by the user;
generating a first vector; the first vector represents a mapping relation between users entering a preset range of a resource roll-out center and the resource roll-out center;
summing the first vector and the second vector to obtain a third vector; wherein the second vector represents a mapping relationship between the resource transfer-out center and the resource transfer-out party, and the third vector represents a mapping relationship between users entering a predetermined range of the resource transfer-out center and the resource transfer-out party;
obtaining other users which possibly request to transfer to the transfer object based on the third vector;
displaying the group transfer cost of the transfer object in the group transfer product to the user corresponding to the resource transfer party and other users possibly requesting to transfer the transfer object; the group transfer product is used for transferring the user added into the group transfer product to the transfer object, and the group transfer cost is smaller than the original transfer cost.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910978923.7A CN110782278B (en) | 2019-10-15 | 2019-10-15 | Data processing method and device |
| CN202211433888.9A CN115965432A (en) | 2019-10-15 | 2019-10-15 | Data processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910978923.7A CN110782278B (en) | 2019-10-15 | 2019-10-15 | Data processing method and device |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211433888.9A Division CN115965432A (en) | 2019-10-15 | 2019-10-15 | Data processing method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110782278A CN110782278A (en) | 2020-02-11 |
| CN110782278B true CN110782278B (en) | 2023-01-10 |
Family
ID=69385501
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910978923.7A Active CN110782278B (en) | 2019-10-15 | 2019-10-15 | Data processing method and device |
| CN202211433888.9A Pending CN115965432A (en) | 2019-10-15 | 2019-10-15 | Data processing method and device |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211433888.9A Pending CN115965432A (en) | 2019-10-15 | 2019-10-15 | Data processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN110782278B (en) |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130332527A1 (en) * | 2010-07-02 | 2013-12-12 | Nokia Corporation | Method and apparatus for organizing a group event |
| CN105302916A (en) * | 2015-11-16 | 2016-02-03 | 北京百度网讯科技有限公司 | Information recommendation method and device |
| CN106067129A (en) * | 2016-05-25 | 2016-11-02 | 北京小米移动软件有限公司 | The method and apparatus of pushed information |
| CN107730311A (en) * | 2017-09-29 | 2018-02-23 | 北京小度信息科技有限公司 | A kind of method for pushing of recommendation information, device and server |
| CN108122136A (en) * | 2018-01-02 | 2018-06-05 | 北京蚂蚁邻居科技有限公司 | A kind of group's house-purchase method, system and storage device based on Internet of Things |
| CN108492124A (en) * | 2018-01-22 | 2018-09-04 | 阿里巴巴集团控股有限公司 | Store information recommends method, apparatus and client |
| CN108876488A (en) * | 2018-08-30 | 2018-11-23 | 尹庆伟 | A kind of data processing method and device |
| CN109741124A (en) * | 2018-11-23 | 2019-05-10 | 泰康保险集团股份有限公司 | Network group buying method and device |
| CN109615425A (en) * | 2018-12-04 | 2019-04-12 | 北京羽扇智信息科技有限公司 | A kind of Products Show method, apparatus, electronic equipment and storage medium |
-
2019
- 2019-10-15 CN CN201910978923.7A patent/CN110782278B/en active Active
- 2019-10-15 CN CN202211433888.9A patent/CN115965432A/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| CN115965432A (en) | 2023-04-14 |
| CN110782278A (en) | 2020-02-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20200065750A1 (en) | Inventory management system and method thereof | |
| US20140188601A1 (en) | Integration between brick-and-mortar establishments and web based establishments | |
| US11037184B2 (en) | Leveraging shoppers for store pick up | |
| US10963906B2 (en) | Method and system for optimizing value of consumer offers | |
| US20120054113A1 (en) | Systems and methods to determine item disposal options | |
| US20170278173A1 (en) | Personalized bundle recommendation system and method | |
| JP2019512809A (en) | Method and apparatus for time division recommendation for service target | |
| JP6442535B2 (en) | Information processing apparatus, information processing method, and information processing program | |
| KR20170094000A (en) | Surfacing digital coupons to customers | |
| US10891678B1 (en) | Personalized network content generation and redirection according to time intervals between repeated instances of behavior based on entity size | |
| CN109087148A (en) | Determine the method, equipment and computer-readable medium of virtual resource object | |
| CN110226180A (en) | Buy information application system and purchase information application method and program | |
| US10977681B2 (en) | Personalized product pricing | |
| CN109688178B (en) | Recommendation method, device and equipment | |
| US20140122367A1 (en) | Social Shipping | |
| CN110782278B (en) | Data processing method and device | |
| JP6810184B2 (en) | Calculation device, calculation method and calculation program | |
| US20160284010A1 (en) | Method and system for preventing shopping cart abandonment | |
| US20120005042A1 (en) | Products and services promotion system and method | |
| KR100361228B1 (en) | Internet electronic commerce method using local information analysis program | |
| CN114169928A (en) | Novel store sales management method, system, equipment and readable storage medium | |
| KR20010094588A (en) | Operating method for the free-one online shopping mall using computer system | |
| CN111597454A (en) | Account recommendation method and device | |
| CN110889733B (en) | Resource and commodity recommendation method, device and equipment | |
| US9613360B1 (en) | Offering complementary products in an electronic commerce system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240219 Address after: Room 1408, No. 447 Nanquan North Road, China (Shanghai) Pilot Free Trade Zone, Pudong New Area, Shanghai, 200120 Patentee after: Shanghai Ant Chuangjiang Information Technology Co.,Ltd. Country or region after: China Address before: 310000 801-11 section B, 8th floor, 556 Xixi Road, Xihu District, Hangzhou City, Zhejiang Province Patentee before: Alipay (Hangzhou) Information Technology Co.,Ltd. Country or region before: China |
|
| TR01 | Transfer of patent right |