CN107886410A - The method, apparatus and storage medium of Products Show - Google Patents
The method, apparatus and storage medium of Products Show Download PDFInfo
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- CN107886410A CN107886410A CN201711229449.5A CN201711229449A CN107886410A CN 107886410 A CN107886410 A CN 107886410A CN 201711229449 A CN201711229449 A CN 201711229449A CN 107886410 A CN107886410 A CN 107886410A
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- product
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- 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]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/193—Preprocessing; Feature extraction
Abstract
The disclosure is directed to a kind of method of Products Show, device and storage medium, by obtaining eye feature of the user when browsing current page, the target product that the user browsed in the page in this prior is determined according to the eye feature, product to be recommended is determined according to the target product, so as to recommend the product to be recommended to user, so, when user does not trigger clicking operation or presence exposes compared with multi-product simultaneously, can also be that user recommends corresponding product, and the accuracy rate of recommended products can be improved, user is allowd to be quickly found out the product for meeting oneself demand.
Description
Technical field
This disclosure relates to Products Show field, more particularly to the method, apparatus and storage medium of a kind of Products Show.
Background technology
With the continuous development of network technology, user is increasingly keen to the net purchase product in terminal application software, to make
Obtain user and be quickly found out the product for meeting oneself demand, a series of Products Show method is also arisen at the historic moment, for example, can pass through
The product that record user clicked on, based on product content, correlated-product recommendation is carried out, the user of camera is such as often clicked on, can push away
The Related products such as storage card, camera battery are recommended, the duration that can also be stopped by recording user in the product page, to record exposure
Amount, statistics obtain the product of high light exposure, recommend user.
The content of the invention
To overcome problem present in correlation technique, the disclosure provides a kind of method, apparatus of Products Show and storage is situated between
Matter.
According to the first aspect of the embodiment of the present disclosure, there is provided a kind of method of Products Show, including obtain user and browsing
Eye feature during current page；Determine that the target that the user browses in the current page is produced according to the eye feature
Product；Product to be recommended is determined according to the target product.
Alternatively, the eye feature for obtaining user when browsing current page includes：Obtained by image acquiring device
Take eyes image of the user when browsing current page；And the eye feature is extracted from the eyes image.
Alternatively, the target product for determining that the user browses in the current page according to the eye feature
Including：The product to be determined browsed according to the eye feature acquisition user in the current page；Obtain the user
Browse each product to be determined browses parameter；Browse parameter according to described from the product to be determined and determine the mesh
Mark product.
Alternatively, the parameter that browses includes browsing duration, and parameter is browsed described in the basis from the product to be determined
It is middle to determine that the target product includes：Determine the product to be determined browses whether duration is more than or equal to preset duration；
It is described browse duration and be more than or equal to the preset duration when, it is the target product to determine the product to be determined.
Alternatively, the parameter that browses includes number of visits, and parameter is browsed described in the basis from the product to be determined
It is middle to determine that the target product includes：Determine number of visits of the product to be determined in preset time period whether be more than or
Equal to preset times；When the number of visits is more than or equal to the preset times, determine the product to be determined for institute
State target product.
Alternatively, it is described to determine that product to be recommended includes according to the target product：It is determined that bought the target product
Targeted customer purchase other products；Determine that the most at least one product of attention rate is treated to be described from other described products
Recommended products.
According to the second aspect of the embodiment of the present disclosure, there is provided a kind of device of Products Show, including acquisition module, be configured
To obtain eye feature of the user when browsing current page；First determining module, it is configured as true according to the eye feature
The target product that the fixed user browses in the current page；Second determining module, it is configured as being produced according to the target
Product determine product to be recommended.
Alternatively, the acquisition module, is configured as obtaining the user by image acquiring device and is browsing current page
Eyes image during face, and the eye feature is extracted from the eyes image.
Alternatively, the acquisition module, is configured as obtaining the user by image acquiring device and is browsing current page
Eyes image during face, and the eye feature is extracted from the eyes image.
Alternatively, first determining module includes：First acquisition submodule, it is configured as being obtained according to the eye feature
The product to be determined for taking the user to be browsed in the current page；Second acquisition submodule, it is configured as obtaining the user
Browse each product to be determined browses parameter；First determination sub-module, it is configured as browsing parameter from institute according to
State and the target product is determined in product to be determined.
Alternatively, the parameter that browses includes browsing duration, first determination sub-module, is configured to determine that described treat
Determine product browses whether duration is more than or equal to preset duration, is more than or equal to described preset in the duration that browses
During duration, it is the target product to determine the product to be determined.
Alternatively, the parameter that browses includes number of visits, first determination sub-module, is configured to determine that described treat
Determine whether number of visits of the product in preset time period is more than or equal to preset times, be more than in the number of visits or
When person is equal to the preset times, it is the target product to determine the product to be determined.
Alternatively, second determining module includes：Second determination sub-module, it is configured to determine that and bought the target
Other products of targeted customer's purchase of product；3rd determination sub-module, it is configured as determining concern from other described products
The most at least one product of degree is the product to be recommended.
According to the third aspect of the embodiment of the present disclosure, there is provided a kind of device of Products Show, including：Processor；For depositing
Store up the memory of processor-executable instruction；Wherein, the processor is configured as：User is obtained when browsing current page
Eye feature；The target product that the user browses in the current page is determined according to the eye feature；According to described
Target product determines product to be recommended.
According to the fourth aspect of the embodiment of the present disclosure, there is provided a kind of computer-readable recording medium, be stored thereon with calculating
Machine programmed instruction, the programmed instruction realize the method for the Products Show that disclosure first aspect is provided when being executed by processor
Step.
The technical scheme provided by this disclosed embodiment can include the following benefits：By obtain user browse work as
Eye feature during the preceding page, the target product that the user browsed in the page in this prior is determined according to the eye feature, according to
The target product determines product to be recommended, so as to recommend the product to be recommended to user, so, click behaviour is not triggered in user
Make or simultaneously in the presence of when being exposed compared with multi-product, or user recommends corresponding product, and can improve recommended products
Accuracy rate so that user can be quickly found out the product for meeting oneself demand.
It should be appreciated that the general description and following detailed description of the above are only exemplary and explanatory, not
The disclosure can be limited.
Brief description of the drawings
Accompanying drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the disclosure
Example, and be used to together with specification to explain the principle of the disclosure.
Fig. 1 is a kind of flow chart of the method for Products Show according to an exemplary embodiment.
Fig. 2 is the block diagram of the device of the first Products Show according to an exemplary embodiment.
Fig. 3 is the block diagram of the device of second of Products Show according to an exemplary embodiment.
Fig. 4 is the block diagram of the device of the third Products Show according to an exemplary embodiment.
Fig. 5 is a kind of block diagram of device according to an exemplary embodiment.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the disclosure.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the disclosure.
The disclosure can apply to the scene of Products Show, and in this scenario, traditional Products Show method is mainly logical
The product that overwriting user clicked on, Related product, or the exposure based on product are recommended to user based on the content of the product
Amount, recommends the product of high light exposure to user, but traditional Products Show method user do not trigger clicking operation or
Simultaneously in the presence of when being exposed compared with multi-product, the higher product of user's attention rate can not be just accurately held, when now recommending again to user,
Recommendation results can be caused inaccurate.
To solve the above problems, the disclosure provides a kind of method, apparatus of Products Show based on eyeball tracking technology and deposited
Storage media, when user browses a certain part product, the eyeball sight of user can be focused on this part product, therefore, based on eye
Ball tracer technique can be accurately obtained the product that user is currently browsing, and the disclosure is browsing current page by obtaining user
Eye feature during face, the target product that user browses in current page is determined according to the eye feature, produced according to the target
Product determine product to be recommended, so as to recommend the product to be recommended to user, so, clicking operation or same are not triggered in user
When exist when expose compared with multi-product, or the corresponding product of user's recommendation, and the accuracy rate of recommended products can be improved.
The disclosure is illustrated with reference to specific embodiment.
Fig. 1 is a kind of method flow diagram of Products Show according to an exemplary embodiment, as shown in figure 1, using
In terminal, the terminal can be mobile phone or tablet personal computer etc., and this method comprises the following steps：
In a step 101, eye feature of the user when browsing current page is obtained.
Because distributing position of the product on current page is different, user uses when browsing different products by eyes
The eyeball at family can rotate, and therefore, rotation of this step based on user's eyeball in browsing pages, pass through Iris Location technology
Eye feature of the user when browsing current page can be got.
In a kind of possible implementation, the user can be obtained by image acquiring device when browsing current page
Eyes image, and the eye feature is extracted from the eyes image.
Wherein, the image acquiring device can be video camera, and the eye feature can include the spies such as iris angle, offset
Sign, the iris angle can be deflection angle of the eyeball relative to references angle, and the offset can be eyeball relative to benchmark
The horizontal-shift of position.
Wherein, the angle of eyeball when the references angle can be the centre position that user watches current page attentively, the benchmark position
Put the position of eyeball when can be centre position that user watches current page attentively.
Obtained it should be noted that the references angle and reference position can be calibration in advance, illustratively, in this step
Before, the calibration of eye recognition can be carried out, for example, terminal can generate arbitrary image in the centre position of browsing pages, and is carried
Show that user watches the arbitrary image attentively, so as to using the eyeball angles of now user and eyeball position as references angle and benchmark position
Put.So, in this step, after the eyes image when getting user and browsing current page, determined from the eyes image
Eyeball relative to references angle deflection angle, and from eyes image determine eyeball relative to reference position horizontal-shift,
So as to obtain the eye feature according to the deflection angle and horizontal-shift.
In a step 102, the target product that the user browsed in the page in this prior is determined according to the eye feature.
Wherein it is possible to obtain the product to be determined of user page browsing in this prior according to the eye feature, and obtain
What the user browsed each product to be determined browses parameter, and browsing parameter from the product to be determined according to this determines the target
Product, the product to be determined refer to user in the browsed product of current page, this browse parameter can include browsing duration or
Number of visits in person's preset time period.
In this step, after the eye feature is obtained, it can determine that user eyeball in current page by the eye feature
Focus point on face, so that it is determined that the product of the position correspondence in current page where the focus point is product to be determined.
Illustratively, when the eyeball focus vision point of user jumps to the A that current page shows from the centre position of current page
When on product, terminal is got during this sight shifts, iris angle and offset in user's eye feature,
Direction of visual lines when can determine that the user is look at A products according to the iris angle, according to the direction of visual lines and gets
The offset i.e. can determine that focus point of the user eyeball on current page, may thereby determine that the position where the focus point
Corresponding A products are the product to be determined.
It is determined that after the product to be determined, the target product is determined according to parameter is browsed from the product to be determined, this is clear
Parameter of looking at can browse duration, or number of visits, in a kind of possible implementation, can pass through following two modes
In any one mode determine the target product from the product to be determined：
Mode one, this browse parameter for browse duration when, can be browsed according to this duration from the product to be determined really
The fixed target product.
In the manner, it may be determined that the product to be determined browses whether duration is more than or equal to preset duration,
When this browses duration and is more than or equal to the preset duration, it is the target product to determine the product to be determined.
Illustratively, using the product to be determined got as tetra- products of A, B, C, D, preset duration is to be carried out exemplified by 10 seconds
Illustrate, wherein, the user got browses a length of 60 seconds when browsing of A products, user browses a length of 3 seconds when browsing of B products,
User browses a length of 15 seconds when browsing of C products, user browses a length of 10 seconds when browsing of D products, it follows that user browses
The duration that browses of A products and C products is more than preset duration, and the duration that browses for browsing D products is equal to preset duration, browses B products
The duration that browses be less than preset duration, can then determine that tri- products of A, C, D are the target product, above-mentioned example is simply illustrated
Illustrate, the disclosure is not construed as limiting to this.
Mode two, when it is number of visits that this, which browses parameter, can according to the number of visits from the product to be determined really
The fixed target product.
In the manner, it may be determined that whether the number of visits of the product to be determined in preset time period is more than or waits
In preset times, when the number of visits is more than or equal to the preset times, it is the target product to determine the product to be determined.
Illustratively, equally illustrated so that the product to be determined got is tetra- product of A, B, C, D as an example, for example,
The preset time period is 3 days, and the preset times are 5 times, and in this 3 days preset time period, the user got browses A products
Number of visits be 8 times, user browse B products number of visits be 5 times, user browses the numbers of visits of C products and is 10 times, uses
The number of visits that family browses D products is 1 time, it follows that user browses A products and the number of visits of C products is more than default time
Number, the number of visits for browsing B products are equal to preset times, and the number of visits for browsing D products is less than preset times, then can be true
It is the target product to determine tri- products of A, B, C, and above-mentioned example is merely illustrative, and the disclosure is not construed as limiting to this.
In step 103, product to be recommended is determined according to the target product.
Because the user for buying same product is higher to the similarity of product demand, therefore, this step can pass through determination
Other products of targeted customer's purchase of the target product were bought, at least one of attention rate at most is determined from other products
Individual product is the product to be recommended.
Wherein, the attention rate can be being browsed for the purchased number or other products of other products
Number, can also be it is other can degree of paying close attention to parameter (such as other products by collection number, shared number),
The disclosure is not construed as limiting to this.
In this step, can be from other products if the attention rate is the purchased number of other products
It is determined that at least one product of purchased number at most is the product to be recommended.
Illustratively, using the target product as A products, the targeted customer illustrates exemplified by having first, second, the third three users,
The party a subscriber of A products was bought while A products are bought, also have purchased B, D two pieces other products, bought the second of A products
User also have purchased tri- other products of B, C, D while A products are bought, and buy the third user of A products in purchase A productions
While product, one other product of B products are also have purchased, it follows that in other products, the purchased number of B products is most,
The purchased number of D products is placed in the middle, and the purchased number of C products is minimum, can then determine that B products can be used as this to be recommended
Product, certainly, the product to be recommended can have multiple product, for example, can make the more two kinds of products of B, D of purchased number
For product to be recommended, above-mentioned example is merely illustrative, and the disclosure is not construed as limiting to this.
In addition, the attention rate be other products by number of visits, by collection number, shared other ginsengs such as number
During number, descending to the attention rate it can be ranked up, other products for forward predetermined number that the attention rate is sorted
It is defined as product to be recommended, wherein, the predetermined number refers to the quantity of product to be recommended.
Illustratively, by the attention rate be other products by number of visits exemplified by illustrate, wherein, the predetermined number
For 2, other products of the targeted customers of the purchase A products got while purchase are tri- products of B, C, D, get B, C,
In tri- other products of D, B products be 5 times by number of visits, C products be 1 time by number of visits, D products are browsed time
Number is 8 times, three other products B, C, D is ranked up according to by the descending order of number of visits, ranking results are：
D>B>C, it follows that other products of D, B two pieces are product to be recommended, above-mentioned example is merely illustrative, and the disclosure is to this
It is not construed as limiting.
It is determined that after the product to be recommended, you can recommend the product to be recommended to user, for example, can be defeated by suspended frame
Go out recommendation information.
It should be noted that in the recommendation process of reality, if it is determined that after the product to be recommended, directly just to user
Suspended frame of the displaying with the recommendation information, the suspended frame are possible to that the product that user is currently browsing can be blocked, reduce and use
The experience at family, to solve the problem, in another embodiment of the disclosure, before the product to be recommended is recommended to user, also need
Determine whether to receive the recommendation instruction that user sends, for example, when receiving user to the trigger action of the product to be recommended,
It is considered that receiving the instruction of the recommendation to the product to be recommended that user sends, the suspended frame now is shown to user again, this
Sample, the accuracy rate of recommendation while not influenceing user and currently browsing, can be improved, so as to improve the experience of user.
It is true according to the eye feature by obtaining eye feature of the user when browsing current page using the above method
Determine the target product that user browses in current page, product to be recommended is determined according to the target product, so as to recommend to user
The product to be recommended, so, when user does not trigger clicking operation or presence exposes compared with multi-product simultaneously, or use
Corresponding product is recommended at family, and can improve the accuracy rate of recommended products so that user, which can be quickly found out, meets oneself need
The product asked.
Fig. 2 is a kind of device block diagram of Products Show according to an exemplary embodiment, reference picture 2, the device bag
Include acquisition module 201, the first determining module 202 and the second determining module 203.
The acquisition module 201, it is configured as obtaining eye feature of the user when browsing current page；
First determining module 202, it is configured as determining that the user is browsed in the page in this prior according to the eye feature
Target product；
Second determining module 203, it is configured as determining product to be recommended according to the target product.
Alternatively, the acquisition module 201, is configured as obtaining the user by image acquiring device and is browsing current page
When eyes image, and the eye feature is extracted from the eyes image.
Alternatively, Fig. 3 is a kind of device block diagram of Products Show according to embodiment illustrated in fig. 2, and reference picture 3 should
First determining module 202 includes：
First acquisition submodule 2021, it is configured as obtaining user page browsing in this prior according to the eye feature
Product to be determined；
Second acquisition submodule 2022, is configured as obtaining that the user browses each product to be determined browses parameter；
First determination sub-module 2023, be configured as according to this browse parameter determined from the product to be determined the target produce
Product.
Alternatively, this browses parameter and includes browsing duration, first determination sub-module 2023, is configured to determine that this is treated really
Fixed output quota product browse whether duration is more than or equal to preset duration, browse duration at this and are more than or equal to the preset duration
When, it is the target product to determine the product to be determined.
Alternatively, this, which browses parameter, includes number of visits, first determination sub-module 2023, is configured to determine that this is treated really
Whether number of visits of the fixed output quota product in preset time period is more than or equal to preset times, is more than or waits in the number of visits
When the preset times, it is the target product to determine the product to be determined.
Alternatively, Fig. 4 is a kind of device block diagram of Products Show according to embodiment illustrated in fig. 2, and reference picture 4 should
Second determining module 203 includes：
Second determination sub-module 2031, it is configured to determine that other productions for the targeted customer's purchase for buying the target product
Product；
3rd determination sub-module 2032, it is configured as determining the most at least one product of attention rate from other products
For the product to be recommended.
It is true according to the eye feature by obtaining eye feature of the user when browsing current page using said apparatus
Determine the target product that user browses in current page, product to be recommended is determined according to the target product, so as to recommend to user
The product to be recommended, so, when user does not trigger clicking operation or presence exposes compared with multi-product simultaneously, or use
Corresponding product is recommended at family, and can improve the accuracy rate of recommended products so that user, which can be quickly found out, meets oneself need
The product asked.
On the device in above-described embodiment, wherein modules perform the concrete mode of operation in relevant this method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
The disclosure also provides a kind of computer-readable recording medium, is stored thereon with computer program instructions, and the program refers to
The step of method for the Products Show that the disclosure provides, is realized in order when being executed by processor.
Fig. 5 is a kind of block diagram of device 500 for Products Show according to an exemplary embodiment.For example,
Device 500 can be mobile phone, computer, digital broadcast terminal, messaging devices, game console, tablet device, cure
Treat equipment, body-building equipment, personal digital assistant etc..
Reference picture 5, device 500 can include following one or more assemblies：Processing component 502, memory 504, electric power
Component 506, multimedia groupware 508, audio-frequency assembly 510, the interface 512 of input/output (I/O), sensor cluster 514, and
Communication component 516.
The integrated operation of the usual control device 500 of processing component 502, such as communicated with display, call, data, phase
The operation that machine operates and record operation is associated.Processing component 502 can refer to including one or more processors 520 to perform
Order, to complete all or part of step of the method for the said goods recommendation.In addition, processing component 502 can include one or more
Individual module, the interaction being easy between processing component 502 and other assemblies.For example, processing component 502 can include multimedia mould
Block, to facilitate the interaction between multimedia groupware 508 and processing component 502.
Memory 504 is configured as storing various types of data to support the operation in device 500.These data are shown
Example includes the instruction of any application program or method for operating on device 500, contact data, telephone book data, disappears
Breath, picture, video etc..Memory 504 can be by any kind of volatibility or non-volatile memory device or their group
Close and realize, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM) are erasable to compile
Journey read-only storage (EPROM), programmable read only memory (PROM), read-only storage (ROM), magnetic memory, flash
Device, disk or CD.
Electric power assembly 506 provides electric power for the various assemblies of device 500.Electric power assembly 506 can include power management system
System, one or more power supplys, and other components associated with generating, managing and distributing electric power for device 500.
Multimedia groupware 508 is included in the screen of one output interface of offer between the device 500 and user.At some
In embodiment, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen
Touch-screen is may be implemented as, to receive the input signal from user.Touch panel includes one or more touch sensors
With the gesture on sensing touch, slip and touch panel.The touch sensor can the not only side of sensing touch or sliding action
Boundary, but also detect the duration and pressure related to the touch or slide.In certain embodiments, multimedia groupware
508 include a front camera and/or rear camera.When device 500 is in operator scheme, such as screening-mode or video screen module
During formula, front camera and/or rear camera can receive outside multi-medium data.Each front camera and rearmounted take the photograph
As head can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio-frequency assembly 510 is configured as output and/or input audio signal.For example, audio-frequency assembly 510 includes a Mike
Wind (MIC), when device 500 is in operator scheme, during such as call model, logging mode and speech recognition mode, microphone by with
It is set to reception external audio signal.The audio signal received can be further stored in memory 504 or via communication set
Part 516 is sent.In certain embodiments, audio-frequency assembly 510 also includes a loudspeaker, for exports audio signal.
I/O interfaces 512 provide interface between processing component 502 and peripheral interface module, and above-mentioned peripheral interface module can
To be keyboard, click wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and lock
Determine button.
Sensor cluster 514 includes one or more sensors, and the state for providing various aspects for device 500 is commented
Estimate.For example, sensor cluster 514 can detect opening/closed mode of device 500, the relative positioning of component, such as the group
Part is the display and keypad of device 500, and sensor cluster 514 can be with 500 1 components of detection means 500 or device
Position changes, the existence or non-existence that user contacts with device 500, the orientation of device 500 or acceleration/deceleration and the temperature of device 500
Degree change.Sensor cluster 514 can include proximity transducer, be configured to detect in no any physical contact attached
The presence of nearly object.Sensor cluster 514 can also include optical sensor, such as CMOS or ccd image sensor, for being imaged
Used in.In certain embodiments, the sensor cluster 514 can also include acceleration transducer, gyro sensor,
Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 516 is configured to facilitate the communication of wired or wireless way between device 500 and other equipment.Device
500 can access the wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof.In an exemplary implementation
In example, communication component 516 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel.
In one exemplary embodiment, the communication component 516 also includes near-field communication (NFC) module, to promote junction service.Example
Such as, in NFC module radio frequency identification (RFID) technology can be based on, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology,
Bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 500 can be believed by one or more application specific integrated circuits (ASIC), numeral
Number processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components are realized, the method for performing the said goods recommendation.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided
Such as include the memory 504 of instruction, above-mentioned instruction can be performed by the processor 520 of device 500 to complete the said goods recommendation
Method.For example, the non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD-ROM, magnetic
Band, floppy disk and optical data storage devices etc..
Those skilled in the art will readily occur to other embodiment party of the disclosure after considering specification and putting into practice the disclosure
Case.The application is intended to any modification, purposes or the adaptations of the disclosure, these modifications, purposes or adaptability
Change follows the general principle of the disclosure and including the undocumented common knowledge in the art of the disclosure or usual skill
Art means.Description and embodiments are considered only as exemplary, and the true scope of the disclosure and spirit are by following claim
Point out.
It should be appreciated that the precision architecture that the disclosure is not limited to be described above and is shown in the drawings, and
And various modifications and changes can be being carried out without departing from the scope.The scope of the present disclosure is only limited by appended claim.
Claims (14)
- A kind of 1. method of Products Show, it is characterised in that including：Obtain eye feature of the user when browsing current page；The target product that the user browses in the current page is determined according to the eye feature；Product to be recommended is determined according to the target product.
- 2. according to the method for claim 1, it is characterised in that the eye for obtaining user when browsing current page is special Sign includes：Eyes image of the user when browsing current page is obtained by image acquiring device；And the eye feature is extracted from the eyes image.
- 3. according to the method for claim 1, it is characterised in that described to determine the user in institute according to the eye feature Stating the target product browsed in current page includes：The product to be determined browsed according to the eye feature acquisition user in the current page；Obtain that the user browses each product to be determined browses parameter；Browse parameter according to described from the product to be determined and determine the target product.
- 4. according to the method for claim 3, it is characterised in that the parameter that browses includes browsing duration, described according to institute State and browse parameter and determine that the target product includes from the product to be determined：Determine the product to be determined browses whether duration is more than or equal to preset duration；It is described browse duration and be more than or equal to the preset duration when, determine that the product to be determined produces for the target Product.
- 5. according to the method for claim 3, it is characterised in that the parameter that browses includes number of visits, described according to institute State and browse parameter and determine that the target product includes from the product to be determined：Determine whether number of visits of the product to be determined in preset time period is more than or equal to preset times；When the number of visits is more than or equal to the preset times, determine that the product to be determined produces for the target Product.
- 6. method according to any one of claim 1 to 5, it is characterised in that described to be determined according to the target product Product to be recommended includes：It is determined that bought other products of targeted customer's purchase of the target product；Determine that the most at least one product of attention rate is the product to be recommended from other described products.
- A kind of 7. device of Products Show, it is characterised in that including：Acquisition module, it is configured as obtaining eye feature of the user when browsing current page；First determining module, it is configured as determining mesh that the user browses in the current page according to the eye feature Mark product；Second determining module, it is configured as determining product to be recommended according to the target product.
- 8. device according to claim 7, it is characterised in that the acquisition module, be configured as obtaining dress by image The eyes image for obtaining the user when browsing current page is put, and the eye feature is extracted from the eyes image.
- 9. device according to claim 7, it is characterised in that first determining module includes：First acquisition submodule, it is configured as being treated what the current page browsed according to the eye feature acquisition user Determine product；Second acquisition submodule, is configured as obtaining that the user browses each product to be determined browses parameter；First determination sub-module, is configured as browsing parameter according to target production is determined from the product to be determined Product.
- 10. device according to claim 9, it is characterised in that the parameter that browses includes browsing duration, and described first is true Stator modules, be configured to determine that the product to be determined browses whether duration is more than or equal to preset duration, described When browsing duration and being more than or equal to the preset duration, it is the target product to determine the product to be determined.
- 11. device according to claim 9, it is characterised in that the parameter that browses includes number of visits, and described first is true Stator modules, it is pre- to be configured to determine that whether number of visits of the product to be determined in preset time period is more than or equal to If number, when the number of visits is more than or equal to the preset times, it is the target to determine the product to be determined Product.
- 12. the device according to any one of claim 7 to 11, it is characterised in that second determining module includes：Second determination sub-module, it is configured to determine that other products for the targeted customer's purchase for buying the target product；3rd determination sub-module, it is configured as determining that the most at least one product of attention rate is described from other described products Product to be recommended.
- A kind of 13. device of Products Show, it is characterised in that including：Processor；For storing the memory of processor-executable instruction；Wherein, the processor is configured as：Obtain eye feature of the user when browsing current page；It is special according to the eye Sign determines the target product that the user browses in the current page；Product to be recommended is determined according to the target product.
- 14. a kind of computer-readable recording medium, is stored thereon with computer program instructions, it is characterised in that the programmed instruction The step of method any one of claim 1~6 is realized when being executed by processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201711229449.5A CN107886410A (en) | 2017-11-29 | 2017-11-29 | The method, apparatus and storage medium of Products Show |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711229449.5A CN107886410A (en) | 2017-11-29 | 2017-11-29 | The method, apparatus and storage medium of Products Show |
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| CN201711229449.5A Pending CN107886410A (en) | 2017-11-29 | 2017-11-29 | The method, apparatus and storage medium of Products Show |
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| CN108898102A (en) * | 2018-06-29 | 2018-11-27 | 上海小蚁科技有限公司 | Pay close attention to determination method and device, storage medium, the terminal of commodity |
| CN111612576A (en) * | 2020-05-09 | 2020-09-01 | 向培红 | Commodity recommendation method and device and electronic equipment |
| US11481460B2 (en) | 2020-07-01 | 2022-10-25 | International Business Machines Corporation | Selecting items of interest |
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