CN109544288A - The processing method and processing device of user data - Google Patents
The processing method and processing device of user data Download PDFInfo
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- CN109544288A CN109544288A CN201811361115.8A CN201811361115A CN109544288A CN 109544288 A CN109544288 A CN 109544288A CN 201811361115 A CN201811361115 A CN 201811361115A CN 109544288 A CN109544288 A CN 109544288A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The invention discloses a kind of processing method and processing devices of user data, wherein user data processing method includes: to obtain the user data including attribute data；Numerical value is arranged to the attribute data in user data according to pre-defined rule；Attribute data in user data is matched respectively with the attribute data of multiple predetermined commodity, to obtain multiple matched data collection；The numerical value of match attribute data is concentrated to select corresponding predetermined commodity according to each matched data, to show to user.By the invention it is possible to improve the rate that places an order of user.
Description
Technical field
The present invention, which discloses, is related to data processing field, and in particular to a kind of processing method and processing device of user data.
Background technique
Currently, can enter shop details page first when user carries out shopping at network and select dependent merchandise, it usually needs
Search related subclass classification one by one under the total class of commodity, sometimes, time Waiting Capacity is weaker at heart by user, in up to hundreds of production
When product, the Related product oneself admired can not be quickly found out in the short time, it is likely that shop can be replaced to cause the trade company
Order loss, and then user is caused to place an order rate reduction, therefore, it is necessary to which restocking one quick-fried money show window is come under guiding user quick
It is single, transaction is completed to improve conversion success rate.
Existing quick-fried money Window Display is 3-9 money special selling commodity that trade company is selected from the commodity of restocking, is owned
User can only see identical commodity, when user enters the menu interface in specific shop, can browse the production of correlation selected by trade company
Product and set meal combination.
Existing quick-fried money show window has following defects that
(1) optional commodity are less, and only 3-9 money special selling commodity, other a variety of commodity do not have an opportunity to obtain related streams
Amount supports that since special selling commodity are less, thus it is higher so as to cause order turnover rate to directly hit customers' consumption psychology；
(2) user's goods matching degree is low, and the 3-9 money special selling commodity of businessman's setting are difficult the consumption habit with most of user
Match, user is there is still a need for taking a significant amount of time to search for oneself desired commodity in shop, and search time is longer, and place an order success
Rate will be lower.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of processing method and processing device of user data, to solve the prior art
In quick-fried money show window commodity do not consider consumer spending habit, user there is still a need for search for needed for commodity so as to cause order turnover rate compared with
High problem.
According to a first aspect of the embodiments of the present invention, a kind of processing method of user data is provided, this method comprises: obtaining
User data including attribute data；Numerical value is arranged to the attribute data in user data according to pre-defined rule；By user data
In attribute data matched respectively with the attribute data of multiple predetermined commodity, to obtain multiple matched data collection；According to each
Matched data concentrates the numerical value of match attribute data to select corresponding predetermined commodity, to show to user.
According to a second aspect of the embodiments of the present invention, a kind of processing unit of user data is provided, which includes: user
Data capture unit, for obtaining the user data including attribute data；Numerical value setting unit, for according to pre-defined rule to
Numerical value is arranged in attribute data in user data；Matching unit, for by user data attribute data and multiple predetermined commodity
Attribute data matched respectively, to obtain multiple matched data collection；Commodity selection unit, for according to each matched data collection
The numerical value of middle match attribute data selects corresponding predetermined commodity, to show to user.
According to a third aspect of the embodiments of the present invention, a kind of computer readable storage medium is provided, stores computer thereon
Program instruction, wherein computer program instructions realize method as described in relation to the first aspect when being executed by processor.
According to a fourth aspect of the embodiments of the present invention, a kind of electronic equipment, including memory and processor are provided, wherein
Memory is for storing one or more computer program instructions, wherein one or more computer program instructions are by processor
It executes to realize method as described in relation to the first aspect.
The embodiment of the present invention by by user data attribute data and multiple predetermined commodity attribute data respectively into
Row matching, obtains the data set of successful match, selects corresponding predetermined quotient according to the numerical value of attribute data in data set later
Product, to be shown to user, since the user data in the embodiment of the present invention embodies the consumption habit of user, according to user's
Consumption habit selects corresponding commodity to show to user, and thus, the commodity of display can preferably be met the needs of users, from
And the rate that places an order of user can be improved, it overcomes quick-fried money show window commodity in the prior art and does not consider consumer spending habit, user
There is still a need for commodity needed for searching for so as to cause the higher problem of order turnover rate.
Detailed description of the invention
By referring to the drawings to the description of the embodiment of the present invention, the above and other purposes of the present invention, feature and
Advantage will be apparent from, in the accompanying drawings:
Fig. 1 is the flow chart of the user data processing method of the embodiment of the present invention；
Fig. 2 is the flow chart that quick-fried money show window pond is arranged in the trade company of the embodiment of the present invention；
Fig. 3 is the flow chart according to an embodiment of the present invention that quick-fried money show window commodity are shown to user；
Fig. 4 is the structural block diagram of the user data processing unit of the embodiment of the present invention；
Fig. 5 is the structural block diagram of the numerical value setting unit 402 of the embodiment of the present invention；
Fig. 6 is the detailed block diagram of the user data processing unit of the embodiment of the present invention；
Fig. 7 is the structural block diagram of the matching unit 403 of the embodiment of the present invention；
Fig. 8 is the structural block diagram of the commodity selection unit 404 of the embodiment of the present invention；
Fig. 9 is the application scenario diagram of user data processing unit according to an embodiment of the present invention；
Figure 10 is the schematic diagram of electronic equipment according to an embodiment of the present invention.
Specific embodiment
Below based on embodiment, present invention is described, but the present invention is not restricted to these embodiments.Under
Text is detailed to describe some specific detail sections in datail description of the invention.Do not have for a person skilled in the art
The present invention can also be understood completely in the description of these detail sections.In order to avoid obscuring essence of the invention, well known method, mistake
There is no narrations in detail for journey, process, element and circuit.
In addition, it should be understood by one skilled in the art that provided herein attached drawing be provided to explanation purpose, and
What attached drawing was not necessarily drawn to scale.
Unless the context clearly requires otherwise, "include", "comprise" otherwise throughout the specification and claims etc. are similar
Word should be construed as the meaning for including rather than exclusive or exhaustive meaning；That is, be " including but not limited to " contains
Justice.
In the description of the present invention, it is to be understood that, term " first ", " second " etc. are used for description purposes only, without
It can be interpreted as indication or suggestion relative importance.In addition, in the description of the present invention, unless otherwise indicated, the meaning of " multiple "
It is two or more.
The embodiment of the present invention provides a kind of processing method of user data, and Fig. 1 is the process of the user data processing method
Figure, as shown in Figure 1, this method comprises:
Step 101, the user data including attribute data is obtained；
Step 102, numerical value is arranged to the attribute data in user data according to pre-defined rule；
Step 103, the attribute data in user data is matched respectively with the attribute data of multiple predetermined commodity, with
Obtain multiple matched data collection；
Step 104, according to each matched data concentrate match attribute data numerical value show corresponding predetermined commodity, so as to
Family is selected.
By matching the attribute data in user data respectively with the attribute data of multiple predetermined commodity, obtain
With successful data set, corresponding predetermined commodity are selected according to the numerical value of attribute data in data set later, so as to user
It has been shown that, since the user data of the embodiment of the present invention embodies the consumption habit of user, thus is selected according to consumer spending habit
Corresponding commodity are selected to show, can preferably be met the needs of users, so as to improve the rate that places an order of user, are overcome existing
Having the quick-fried money show window commodity in technology not consider consumer spending habit, user, there is still a need for commodity needed for searching for so as to cause order flow
The higher problem of mistake rate.
Attribute data in above-mentioned user data specifically includes: primary attribute data, search attribute data, consumption attribute number
According to, wherein primary attribute data include current accessed time data.
In a step 101, user data can be obtained according to the historical consumption data of user, the historical consumption data packet
Include: history access time data, historical search data and history actual consumption data etc., in other words, step 101 is to be used
Family portrait, user's portrait are more according to the browsing record of user, consumption habit, region, cell-phone number related consumer record etc.
Index is planted generally to determine consumer group's attribute of the user and the information aggregate of habit.
Pre-defined rule in step 102 includes: above-mentioned primary attribute data, search attribute data, consumption attribute data
Numerical value is sequentially reduced, wherein each value data in search attribute data according to search time apart from the current accessed time when
To be arranged, each value data consumed in attribute data is arranged according to consumption time apart from the duration of current accessed time length.
Time is more remote, and corresponding numerical value is smaller, and relatively, the time is closer, and corresponding numerical value will be bigger.
In the specific implementation process, search attribute data can be first set according to user data and consume the number of attribute data
Later in response to the primary attribute data and the matching result of the attribute data of predetermined commodity in user data, then base is arranged in value
The numerical value of plinth attribute data.
In actual operation, the attribute data of predetermined commodity can be set according to the attribute data in user data, so as to
Rapidly and accurately matched with user data.The operation can be completed by server, can also be manually completed by trade company.
In step 103, first by the attribute data progress of the attribute data and each predetermined commodity in user data
Match；Matched data collection corresponding with predetermined commodity is generated according to the attribute data of successful match later.
After obtaining matched data collection corresponding with multiple predetermined commodity, matching is concentrated to belong to according to each matched data
Corresponding predetermined commodity are ranked up by the numerical value summation of property data；Later, the predetermined commodity after selected and sorted.In general,
Numerical value summation is bigger, indicates that corresponding predetermined commodity more meet the demand of user.Trade company shows corresponding commodity by user demand,
That is, showing quick-fried money commodity by user demand in quick-fried money show window, the rate that places an order of user can be improved.
Fig. 2 is the flow chart that quick-fried money show window pond is arranged in trade company, and quick-fried money show window pond here includes multiple predetermined commodity, such as
Shown in Fig. 2, which includes:
Step 201, trade company selects commodity to be added from commodity pond, that is, selects quick-fried money show window commodity；
Step 202, the quick-fried money attribute of commodity to be added is set, it can be according to the attribute data of the user data of multiple preservations
The quick-fried money attribute of commodity is arranged；
Step 203, the commodity for setting quick-fried money attribute are added in trade company's quick-fried money commodity pond, so as to user to be consumed
Consumption data matched.
The attribute of quick-fried money commodity may include: that such as time attribute can be breakfast supply, dinner supply, whole day supply,
Mouthfeel can be the life's joys and sorrows, and commodity consumption attribute can be defined as light luxurious, high performance-price ratio, at a low price special selling etc., the vegetable style of cooking point
Class can be Shandong cuisine, Guangdong dishes, Islamic etc..The tag attributes of these commodity need the label with user's portrait (that is, user data)
Attribute is corresponding, could expeditiously be matched in this way.These commodity label option can be trade company and choose manually.
Fig. 3 is the flow chart according to an embodiment of the present invention that quick-fried money show window commodity are shown to user, as shown in figure 3, the stream
Journey includes:
Step 301, user accesses on-line shop, trade company；
Step 302, judge whether the user has logged in, if so, 307 are thened follow the steps, it is no to then follow the steps 303；
Step 303, user logs in；
Step 304, judge whether user is new user, if it is, carrying out step 305, otherwise, execute step 306；
Step 305, it creates user and adds user's portrait, that is, obtain user data；
Specifically, it can be obtained according to historical log information, the historical search information of the user, history consumption information etc.
To the professional attribute of user, Regional Property, time attribute, taste attribute, the style of cooking is attributes preferred, staple food grain is attributes preferred, vegetable is inclined
A variety of categories such as attributes preferred, the commodity consumption frequency attribute of good attribute, consuming capacity attribute, consumption values attribute, commodity classification
Property label, and to these attributes carry out numeric indicia, high frequency, corresponding attribute value will be bigger.In practical operation
In, above-mentioned multiple attribute tags can be divided into three categories: primary attribute (e.g., time attribute, Regional Property etc.), search attribute
(e.g., this App usage record of the user judges that the current of user wants commodity, such as searches for Yoghourt, the clear commodity such as sheep soup
Attribute), the rule of numerical value is arranged in consumer record attribute (e.g., consumption values, consuming capacity attribute, the style of cooking are attributes preferred etc.)
Are as follows: numerical values recited is followed successively by primary attribute > search attribute > consumer record attribute, by combining numeric indicia and commodity three categories
Attributive classification, record user's portrait.
Step 306, synchronous user's portrait, returns to trade company interface, and execute step 301；
Step 307, trade company backstage obtains user's portrait of the user；
Step 308, the commodity in user's portrait attribute and quick-fried money commodity pond carry out attributes match；
Step 309, according to matching result, quick-fried money show window is shown to user, so that user carries out selection commodity.
User is drawn a portrait synchronizing information to trade company backstage, and foundation by when user accesses on-line shop by the embodiment of the present invention
The numerical value of primary attribute, search attribute, consumer record attribute in user's portrait information successively carries out numerical value configuration from big to small,
The commodity in quick-fried money commodity pond are drawn a portrait with synchronous user later and carry out matching operation, then according to the attribute data after matching
Summation selects quick-fried money commodity, and quick-fried money commodity are returned to user interface and are shown, so that user selects.Due to
With result according to user's portrait information, thus the quick-fried money commodity selected can meet the expectation of user, so as to improve user
The rate that places an order.
The embodiment of the invention also provides a kind of processing unit of user data, Fig. 4 is the structural block diagram of the device, is such as schemed
Shown in 4, which includes: user data acquiring unit 401, numerical value setting unit 402, matching unit 403 and commodity selection list
Member 404, in which:
User data acquiring unit 401, for obtaining the user data including attribute data；
Numerical value setting unit 402, for numerical value to be arranged to the attribute data in user data according to pre-defined rule；
Matching unit 403, for by user data attribute data and multiple predetermined commodity attribute data respectively into
Row matching, to obtain multiple matched data collection；
Commodity selection unit 404, for being concentrated the numerical value selection of match attribute data corresponding pre- according to each matched data
Commodity are determined, to show to user.
Matching unit 403 by attribute data in the user data that obtains user data acquiring unit 401 with it is multiple
The attribute data of predetermined commodity is matched respectively, obtains the data set of successful match, and commodity selection unit 404 is according to number later
Corresponding predetermined commodity are selected according to the numerical value for the attribute data for concentrating numerical value setting unit 402 to be arranged, to be shown to user,
Since the user data of the embodiment of the present invention embodies the consumption habit of user, selected according to the consumption habit of user corresponding
Commodity show that thus, the commodity of display can preferably be met the needs of users, so as to improve placing an order for user to user
Rate, overcome quick-fried money show window commodity in the prior art do not consider consumer spending habit, user there is still a need for search for needed for commodity from
And lead to the higher problem of order turnover rate.
Attribute data in above-mentioned user data specifically includes: primary attribute data, search attribute data, consumption attribute number
According to, wherein primary attribute data include current accessed time data.
Specifically, user data acquiring unit 401 is specifically used for: obtaining number of users according to the historical consumption data of user
According to historical consumption data includes: history access time data, historical search data and history actual consumption data.In practical behaviour
In work, user data acquiring unit 401 for carrying out user's portrait, user's portrait is practised according to the browsing of user record, consumption
The many indexes such as used, region, cell-phone number related consumer record generally determine the consumer group's attribute and habit of the user
Used information aggregate.
Numerical value is arranged to the attribute data in user data by following pre-defined rule in above-mentioned numerical value setting unit 402:
Primary attribute data, search attribute data, consume attribute data numerical value be sequentially reduced, wherein it is each in search attribute data
Value data is arranged according to search time apart from the duration of current accessed time, consume each value data in attribute data according to
It is arranged according to consumption time apart from the duration of current accessed time.
Specifically, as shown in figure 5, numerical value setting unit 402 includes: search consumption attribute data numerical value setup module 4021
With primary attribute value data setup module 4022, in which:
Search consumption attribute data numerical value setup module 4021, for search attribute data to be arranged according to user data and disappear
Take the numerical value of attribute data；
Primary attribute value data setup module 4022, in response to primary attribute data in user data and predetermined
The numerical value of primary attribute data is arranged in the matching result of the attribute data of commodity.
Above-mentioned search consumption attribute data numerical value setup module 4021 specifically includes: submodule is arranged in search attribute value data
Submodule 40212 is arranged in block 40211 and consumption attribute data numerical value, wherein submodule is arranged in search attribute value data
40211, each value data for being arranged in search attribute data according to user data is as search time is apart from current accessed
The duration of time is elongated and numerical value becomes smaller；It consumes attribute data numerical value and submodule 40212 is set, for being arranged according to user data
Each value data in attribute data is consumed as consumption time is elongated apart from the duration of current accessed time and numerical value becomes smaller.?
That is the time is more remote, corresponding attribute value will be smaller.
In actual operation, as shown in fig. 6, user data processing unit further include: item property data setting unit
405, for the attribute data of predetermined commodity to be arranged according to the attribute data in user data, so as to rapidly and accurately with number of users
According to being matched.
Fig. 7 is the specific block diagram of matching unit 403, as shown in fig. 7, matching unit 403 includes: matching module 4031
With matched data collection generation module 4032, in which:
Matching module 4031, for by user data attribute data and each predetermined commodity attribute data carry out
Match；
Matched data collection generation module 4032, it is corresponding with predetermined commodity for being generated according to the attribute data of successful match
Matched data collection.
Fig. 8 is the specific block diagram of commodity selection unit 404, as shown in figure 8, commodity selection unit 404 includes: commodity
Sorting module 4041 and commodity selection module 4042, in which:
Commodity sorting module 4041, for concentrating the numerical value summation of match attribute data will be corresponding according to each matched data
Predetermined commodity are ranked up；
Commodity selection module 4042, for the predetermined commodity after selected and sorted.
In general, numerical value summation is bigger, then it represents that corresponding predetermined commodity more meet the demand of user.User presses in trade company
Demand shows corresponding commodity, that is, shows quick-fried money commodity by user demand in quick-fried money show window, thus placing an order for user can be improved
Rate.
Fig. 9 is the application scenario diagram of user data processing unit according to an embodiment of the present invention, as shown in figure 9, user A exists
Access merchant website in the morning 8:20, which is provided with quick-fried money commodity pond, including commodity 1, commodity 2 ..., commodity N, N is positive
Integer describes this example so that commodity 1, commodity 2 are matched with user's portrait as an example below.
User data acquiring unit 401 obtains the user data first, carries out user's portrait, the following institute of user's representation data
Show:
According to user's representation data, it can learn that the consumption data of the user is as follows:
Primary attribute data include: morning 8:20 access merchant website, and native place is the Chinese；
Search attribute data include: milk class, numerical value 70；Such as noodles, numerical value 69；Alcohol type, numerical value 68；
Consuming attribute data includes: high consumption class, numerical value 20；Carbohydrate, numerical value 15；Salinity, numerical value 10.
In this example, numerical value setting unit 402 is set in advance by search consumption attribute data numerical value setup module 4021
It sets user's search attribute data and consumes the numerical value of attribute data, and primary attribute value data setup module 4022 can be subsequent
Matching operation after the completion of the numerical value of primary attribute data is set again.
Trade company selects multiple predetermined commodity and is put into quick-fried money commodity pond, item property data setting unit 405 according to
Each attribute data in user data is provided with the attribute data of predetermined commodity, wherein commodity 1 are breakfast milk, and commodity 2 are small cage
The attribute data difference of packet, commodity 1 and commodity 2 is as follows:
Commodity 1: breakfast milk
Commodity 2: steamed stuffed bun by small bamboo food steamer
Matching unit 403 matches user data with commodity, obtains matched data collection, in this example, commodity 1 and quotient
The corresponding matched data collection of product 2 is as follows:
Commodity 1: matched data collection
In primary attribute Data Matching, since user access time 8:20 belongs to breakfast period, commodity 1
The success of " breakfast (breakfast) " attributes match, thus, primary attribute number is arranged in primary attribute value data setup module 4022
The numerical value of " time (period) " in is 90.
According to above-mentioned matching result, the numerical value summation of the match attribute data of commodity 1 are as follows: 90+0+70+20+15+0=
195。
Commodity 2: matched data collection
In primary attribute Data Matching, since user access time 8:20 belongs to breakfast period, with commodity 2
" dinner (dinner) " attributes match is unsuccessful, thus, primary attribute number is arranged in primary attribute value data setup module 4022
The numerical value of " time (period) " in is 0, or in an example, and matched data collection can only include the category of successful match
Property data, primary attribute value data setup module 4022 can not execute any operation at this time.
According to above-mentioned matching result, the match attribute value data summation of commodity 2 are as follows: score 0+0+10+0=10.
Since the match attribute value data summation of commodity 1 is greater than the match attribute value data summation of commodity 2, thus,
As shown in figure 9, user can first see commodity 1 before commodity 1 come commodity 2.Since commodity 1 more meet the demand of user, because
And the probability that user buys commodity 1 can be greater than commodity 2, so as to increase the rate that places an order of user.
Figure 10 is the schematic diagram of the electronic equipment of the embodiment of the present invention.Electronic equipment shown in Fig. 10 is general data processing
Device comprising general computer hardware structure includes at least processor 101 and memory 102.It processor 101 and deposits
Reservoir 102 is connected by bus 103.Memory 102 is suitable for the instruction or program that storage processor 101 can be performed.Processor 101
It can be independent microprocessor, be also possible to one or more microprocessor set.Processor 101 passes through execution as a result,
The order that memory 102 is stored is realized thereby executing the method flow of embodiment present invention as described above for data
Processing and the control for other devices.Bus 103 links together above-mentioned multiple components, while said modules being connected to
Display controller 104 and display device and input/output (I/O) device 105.Input/output (I/O) device 105 can be
Mouse, keyboard, modem, network interface, touch-control input device, body-sensing input unit, printer and known in this field
Other devices.Typically, input/output (I/O) device 105 is connected by input/output (I/O) controller 106 with system.
Wherein, memory 102 can store component software, such as operating system, communication module, interactive module and application
Program.Above-described each module and application program are both corresponded to complete one or more functions and be retouched in inventive embodiments
One group of executable program instructions of the method stated.
In conclusion the embodiment of the invention provides a kind of exhibition scheme of quick-fried money show window commodity, by by quick-fried money commodity
It is matched with user's portrait, has chosen the high excellent displaying of commodity progress that part is most suitable for user, reduce search for a user
Rope and waiting time improve information hit rate, and lower single process is more succinct, and lower list wish is stronger；For trade company, sell fast
Commodity category increases, and inventory's conversion ratio can be improved significantly, so as to reduce inventory's turnaround time, is placed an order rate by user
Increase, order conversion ratio can also be improved significantly, and so as to increase order volume, income can also be improved significantly.
It is above-mentioned according to the method for the embodiment of the present invention, the flow chart and/or frame of equipment (system) and computer program product
Figure describes various aspects of the invention.It should be understood that each of flowchart and or block diagram piece and flow chart legend and/or frame
The combination of block in figure can be realized by computer program instructions.These computer program instructions can be provided to general meter
The processor of calculation machine, special purpose computer or other programmable data processing devices, to generate machine so that (via computer or
What the processors of other programmable data processing devices executed) instruction creates for realizing in flowchart and or block diagram block or block
The device of specified function action.
Meanwhile as skilled in the art will be aware of, the various aspects of the embodiment of the present invention may be implemented as be
System, method or computer program product.Therefore, the various aspects of the embodiment of the present invention can take following form: complete hardware
Implementation, complete software implementation (including firmware, resident software, microcode etc.) usually can all claim herein
For the implementation for combining software aspects with hardware aspect of circuit, " module " or " system ".In addition, side of the invention
Face can take following form: the computer program product realized in one or more computer-readable medium, computer can
Reading medium has the computer readable program code realized on it.
It can use any combination of one or more computer-readable mediums.Computer-readable medium can be computer
Readable signal medium or computer readable storage medium.Computer readable storage medium can be such as (but not limited to) electronics,
Magnetic, optical, electromagnetism, infrared or semiconductor system, device or any suitable combination above-mentioned.Meter
The more specific example (exhaustive to enumerate) of calculation machine readable storage medium storing program for executing will include the following terms: with one or more electric wire
Electrical connection, hard disk, random access memory (RAM), read-only memory (ROM), erasable is compiled portable computer diskette
Journey read-only memory (EPROM or flash memory), optical fiber, portable optic disk read-only storage (CD-ROM), light storage device,
Magnetic memory apparatus or any suitable combination above-mentioned.In the context of the embodiment of the present invention, computer readable storage medium
It can be that can include or store the program used by instruction execution system, device or combine instruction execution system, set
Any tangible medium for the program that standby or device uses.
Computer-readable signal media may include the data-signal propagated, and the data-signal of the propagation has wherein
The computer readable program code realized such as a part in a base band or as carrier wave.The signal of such propagation can use
Any form in diversified forms, including but not limited to: electromagnetism, optical or its any combination appropriate.It is computer-readable
Signal media can be following any computer-readable medium: not be computer readable storage medium, and can be to by instructing
Program that is that execution system, device use or combining instruction execution system, device to use is communicated, is propagated
Or transmission.
Computer program code for executing the operation for being directed to various aspects of the present invention can be with one or more programming languages
Any combination of speech is write, the programming language include: programming language such as Java, Smalltalk of object-oriented, C++,
PHP, Python etc.；And conventional process programming language such as " C " programming language or similar programming language.Program code can be made
It fully on the user computer, is partly executed on the user computer for independent software package；Partly in subscriber computer
Above and partly execute on the remote computer；Or it fully executes on a remote computer or server.In latter feelings
It, can be by remote computer by including that any type of network connection of local area network (LAN) or wide area network (WAN) are extremely used under condition
Family computer, or (such as internet by using ISP) can be attached with outer computer.
The above description is only a preferred embodiment of the present invention, is not intended to restrict the invention, for those skilled in the art
For, the invention can have various changes and changes.All any modifications made within the spirit and principles of the present invention are equal
Replacement, improvement etc., should all be included in the protection scope of the present invention.
The embodiment of the invention discloses A1, a kind of processing method of user data, wherein the described method includes:
Obtain the user data including attribute data；
Numerical value is arranged to the attribute data in the user data according to pre-defined rule；
Attribute data in the user data is matched respectively with the attribute data of multiple predetermined commodity, to obtain
Multiple matched data collection；
The numerical value of match attribute data is concentrated to select corresponding predetermined commodity according to each matched data, so as to aobvious to user
Show.
The processing method of A2, the user data according to claim A1, wherein the attribute data includes: basis
Attribute data, search attribute data and consumption attribute data, wherein the primary attribute data include current accessed time number
According to.
The processing method of A3, the user data according to claim A2, wherein the pre-defined rule includes:
Primary attribute data, search attribute data, consume attribute data numerical value be sequentially reduced, wherein described search category
Property data in each value data be arranged apart from the duration of current accessed time according to search time, the consumption attribute data
In each value data be arranged apart from the duration of current accessed time according to consumption time.
The processing method of A4, the user data according to claim A3, wherein according to pre-defined rule to the user
Numerical value is arranged in attribute data in data
The numerical value of described search attribute data and the consumption attribute data is set according to the user data；
In response in the user data primary attribute data and the predetermined commodity attribute data matching result,
The numerical value of the primary attribute data is set.
The processing method of A5, the user data according to claim A4, wherein institute is arranged according to the user data
It states search attribute data and the numerical value for consuming attribute data includes:
Each value data in described search attribute data is set with described search time interval according to the user data
It is elongated from the duration of current accessed time and numerical value becomes smaller,
According to the user data be arranged it is described consumption attribute data in each value data with the consumption time away from
It is elongated from the duration of current accessed time and numerical value becomes smaller.
The processing method of A6, the user data according to claim A1, wherein predetermined quotient is set in the following way
The attribute data of product:
The attribute data of predetermined commodity is set according to the attribute data in the user data.
The processing method of A7, the user data according to claim A1, wherein by the attribute in the user data
Data are matched respectively with the attribute data of multiple predetermined commodity, include: to obtain multiple matched data collection
Attribute data in the user data is matched with the attribute data of each predetermined commodity；
Matched data collection corresponding with predetermined commodity is generated according to the attribute data of successful match.
The processing method of A8, the user data according to claim A1, wherein concentrated and matched according to each matched data
The numerical value of attribute data selects the corresponding predetermined commodity to include:
The numerical value summation of match attribute data is concentrated to be ranked up corresponding predetermined commodity according to each matched data；
Predetermined commodity after selected and sorted.
The processing method of A9, the user data according to claim A1, wherein obtaining user data includes:
The user data is obtained according to the historical consumption data of user, the historical consumption data includes: history access
Time data, historical search data and history actual consumption data.
The embodiment of the invention also discloses B1, a kind of processing unit of user data, wherein described device includes:
User data acquiring unit, for obtaining the user data including attribute data；
Numerical value setting unit, for numerical value to be arranged to the attribute data in the user data according to pre-defined rule；
Matching unit, for by the user data attribute data and multiple predetermined commodity attribute data respectively into
Row matching, to obtain multiple matched data collection；
Commodity selection unit, for being concentrated the numerical value of match attribute data to select corresponding predetermined quotient according to each matched data
Product, to be shown to user.
The processing unit of B2, the user data according to claim B1, wherein the user data acquiring unit obtains
The attribute data in user data taken includes: primary attribute data, search attribute data and consumption attribute data, wherein institute
Stating primary attribute data includes current accessed time data.
The processing unit of B3, the user data according to claim B2, wherein the numerical value setting unit is for leading to
It crosses following pre-defined rule and numerical value is arranged to the attribute data in the user data:
Primary attribute data, search attribute data, consume attribute data numerical value be sequentially reduced, wherein described search category
Property data in each value data be arranged apart from the duration of current accessed time according to search time, the consumption attribute data
In each value data be arranged apart from the duration of current accessed time according to consumption time.
The processing unit of B4, the user data according to claim B3, wherein the numerical value setting unit includes:
Search consumption attribute data numerical value setup module, for described search attribute data to be arranged according to the user data
With the numerical value of the consumption attribute data；
Primary attribute value data setup module, in response in the user data primary attribute data with it is described
The numerical value of the primary attribute data is arranged in the matching result of the attribute data of predetermined commodity.
The processing unit of B5, the user data according to claim B4, wherein described search consumes attribute data number
Value setup module includes:
Submodule is arranged in search attribute value data, for being arranged in described search attribute data according to the user data
Each value data with the duration of described search time gap current accessed time it is elongated and numerical value becomes smaller；
It consumes attribute data numerical value and submodule is set, for being arranged in the consumption attribute data according to the user data
Each value data with the consumption time it is elongated apart from the duration of current accessed time and numerical value becomes smaller.
The processing unit of B6, the user data according to claim B1, wherein described device further include:
Item property data setting unit, for the category of predetermined commodity to be arranged according to the attribute data in the user data
Property data.
The processing unit of B7, the user data according to claim B1, wherein the matching unit includes:
Matching module, for by the user data attribute data and each predetermined commodity attribute data carry out
Match；
Matched data collection generation module, for generating matching corresponding with predetermined commodity according to the attribute data of successful match
Data set.
The processing unit of B8, the user data according to claim B1, wherein the commodity selection unit includes:
Commodity sorting module, for concentrating the numerical value summation of match attribute data will be corresponding predetermined according to each matched data
Commodity are ranked up；
Commodity selection module, for the predetermined commodity after selected and sorted.
The processing unit of B9, the user data according to claim B1, wherein the user data acquiring unit tool
Body is used for:
The user data is obtained according to the historical consumption data of user, the historical consumption data includes: history access
Time data, historical search data and history actual consumption data.
The embodiment of the invention also discloses C1, a kind of computer readable storage medium, store computer program instructions thereon,
Wherein, the computer program instructions realize the method as described in any one of claim A1-A9 when being executed by processor.
The embodiment of the invention also discloses D1, a kind of electronic equipment, including memory and processor, wherein the storage
Device is for storing one or more computer program instructions, wherein one or more computer program instructions are by the place
Device is managed to execute to realize the method as described in any one of claim A1-A9.
Claims (10)
1. a kind of processing method of user data, which is characterized in that the described method includes:
Obtain the user data including attribute data；
Numerical value is arranged to the attribute data in the user data according to pre-defined rule；
Attribute data in the user data is matched respectively with the attribute data of multiple predetermined commodity, it is multiple to obtain
Matched data collection；
The numerical value of match attribute data is concentrated to select corresponding predetermined commodity according to each matched data, to show to user.
2. the processing method of user data according to claim 1, which is characterized in that the attribute data includes: basis
Attribute data, search attribute data and consumption attribute data, wherein the primary attribute data include current accessed time number
According to.
3. the processing method of user data according to claim 2, which is characterized in that the pre-defined rule includes:
Primary attribute data, search attribute data, consume attribute data numerical value be sequentially reduced, wherein described search attribute number
Each value data in is arranged according to search time apart from the duration of current accessed time, in the consumption attribute data
Each value data is arranged according to consumption time apart from the duration of current accessed time.
4. the processing method of user data according to claim 3, which is characterized in that according to pre-defined rule to the user
Numerical value is arranged in attribute data in data
The numerical value of described search attribute data and the consumption attribute data is set according to the user data；
In response to the matching result of the attribute data of primary attribute data and the predetermined commodity in the user data, setting
The numerical value of the primary attribute data.
5. the processing method of user data according to claim 4, which is characterized in that institute is arranged according to the user data
It states search attribute data and the numerical value for consuming attribute data includes:
Each value data being arranged in described search attribute data according to the user data is worked as with described search time gap
The duration of preceding access time is elongated and numerical value becomes smaller,
Each value data in the consumption attribute data is set as the consumption time distance is worked as according to the user data
The duration of preceding access time is elongated and numerical value becomes smaller.
6. a kind of processing unit of user data, which is characterized in that described device includes:
User data acquiring unit, for obtaining the user data including attribute data；
Numerical value setting unit, for numerical value to be arranged to the attribute data in the user data according to pre-defined rule；
A matching unit, for carrying out the attribute data of attribute data and multiple predetermined commodity in the user data respectively
Match, to obtain multiple matched data collection；
Commodity selection unit, for being concentrated the numerical value of match attribute data to select corresponding predetermined commodity according to each matched data,
To be shown to user.
7. the processing unit of user data according to claim 6, which is characterized in that the user data acquiring unit obtains
The attribute data in user data taken includes: primary attribute data, search attribute data and consumption attribute data, wherein institute
Stating primary attribute data includes current accessed time data.
8. the processing unit of user data according to claim 7, which is characterized in that the numerical value setting unit is for leading to
It crosses following pre-defined rule and numerical value is arranged to the attribute data in the user data:
Primary attribute data, search attribute data, consume attribute data numerical value be sequentially reduced, wherein described search attribute number
Each value data in is arranged according to search time apart from the duration of current accessed time, in the consumption attribute data
Each value data is arranged according to consumption time apart from the duration of current accessed time.
9. a kind of computer readable storage medium, stores computer program instructions thereon, which is characterized in that the computer program
Method according to any one of claims 1 to 5 is realized in instruction when being executed by processor.
10. a kind of electronic equipment, including memory and processor, which is characterized in that the memory is for storing one or more
Computer program instructions, wherein one or more computer program instructions are executed by the processor to realize such as power
Benefit requires method described in any one of 1-5.
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| US20180308152A1 (en) * | 2015-12-31 | 2018-10-25 | Alibaba Group Holding Limited | Data Processing Method and Apparatus |
| CN108182621A (en) * | 2017-12-07 | 2018-06-19 | 合肥美的智能科技有限公司 | The Method of Commodity Recommendation and device for recommending the commodity, equipment and storage medium |
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Application publication date: 20190329 |