CN113221822B - Enterprise-to-person e-commerce service method and system - Google Patents
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Abstract
The application provides an electronic commerce service method and system for enterprises to individuals, wherein the method comprises the following steps: the terminal equipment determines a first video selected by a target object, and plays the first video to the target object; when the terminal equipment determines that the first video does not have shopping links, extracting multi-frame pictures of the first video, wherein the time difference between two adjacent frames of pictures in the multi-frame pictures is the same, respectively identifying each frame of picture in the multi-frame pictures as an input picture for photographing shopping to obtain at least one shopping video corresponding to the multi-frame picture, and displaying at least one link of the at least one shopping video at a preset position of the first video in a preset mode; and when the terminal equipment receives that the target object clicks a first link in the at least one link, playing shopping video corresponding to the first link, and entering a shopping page corresponding to the first link. The technical scheme provided by the application has the advantage of high user experience.
Description
Technical Field
The application relates to the technical field of electronic commerce, in particular to an electronic commerce service method and system for enterprises to individuals.
Background
Electronic commerce, for short, e-commerce refers to performing transaction activities and related service activities on the Internet (Internet), an Intranet (Intranet) and a value added network (VAN, value Added Network) in an electronic transaction manner, so that all links of the traditional business activities are electronic and networked. Blockchains are a term of art in information technology. Essentially, the system is a shared database, and data or information stored in the shared database has the characteristics of 'non-falsifiability', 'whole-course trace', 'traceability', 'disclosure transparency', 'collective maintenance', and the like. Business-to-person (B2C) is a business retail model that sells products and services directly to consumers.
The mode of electronic commerce has been developed from a normal mode to a video mode (short video mode), but in the existing short video mode, users purchase articles inconveniently, and purchase will and experience of the users are affected.
Disclosure of Invention
The embodiment of the application provides an electronic commerce service method for enterprises to individuals and related products, which can facilitate users to purchase articles and improve the purchase intention and experience of the clients.
In a first aspect, an embodiment of the present application provides a business-to-person e-commerce service method; the method comprises the following steps:
the terminal equipment determines a first video selected by a target object, and plays the first video to the target object;
when the terminal equipment determines that the first video does not have shopping links, extracting multi-frame pictures of the first video, wherein the time difference between two adjacent frames of pictures in the multi-frame pictures is the same, respectively identifying each frame of picture in the multi-frame pictures as an input picture for photographing shopping to obtain at least one shopping video corresponding to the multi-frame picture, and displaying at least one link of the at least one shopping video at a preset position of the first video in a preset mode;
and when the terminal equipment receives that the target object clicks a first link in the at least one link, playing shopping video corresponding to the first link, and entering a shopping page corresponding to the first link.
In a second aspect, there is provided an enterprise-to-person e-commerce service system,
a determining unit, configured to determine a first video selected by a target object;
the processing unit is used for playing the first video to the target object; when the first video is determined to not have shopping links, extracting multi-frame pictures of the first video, wherein the time difference of two adjacent frames of pictures in the multi-frame pictures is the same, respectively identifying each frame of picture in the multi-frame pictures as an input picture for photographing and shopping to obtain at least one shopping video corresponding to the multi-frame picture, and displaying at least one link of the at least one shopping video at a preset position of the first video in a preset mode; and when the target object is received to click on a first link in the at least one link, playing shopping video corresponding to the first link, and entering a shopping page corresponding to the first link.
In a third aspect, a computer-readable storage medium storing a program for electronic data exchange is provided, wherein the program causes a terminal to execute the method provided in the first aspect.
In a fourth aspect, a terminal is provided for performing the method steps provided in the first aspect
The embodiment of the application has the following beneficial effects:
it can be seen that the terminal device of the technical scheme provided by the application determines the first video selected by the target object, and plays the first video to the target object; the method comprises the steps that terminal equipment extracts multi-frame pictures of a first video, the time difference of two adjacent frames of pictures in the multi-frame pictures is the same, each frame of picture in the multi-frame pictures is respectively used as an input picture for photographing and shopping to identify at least one shopping video corresponding to the multi-frame picture, and at least one link of the at least one shopping video is displayed at a preset position of the first video in a preset mode; and when the terminal equipment receives that the target object clicks a first link in the at least one link, playing shopping video corresponding to the first link, and entering a shopping page corresponding to the first link. Therefore, shopping links are provided for the target objects in the non-shopping link video, and the shopping experience of the user is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of an electronic device according to the present application.
FIG. 1a is a schematic diagram showing shopping links;
FIG. 1b is a schematic diagram of a shopping link free;
FIG. 2 is a flow chart of an enterprise-to-person e-commerce service method provided by the application;
fig. 3 is a schematic structural diagram of an enterprise-to-person e-commerce service system according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terms "first," "second," "third," and "fourth" and the like in the description and in the claims and drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The terminal device according to the embodiment of the present application is a device having a wireless communication function, and may be referred to as a terminal (terminal), a User Equipment (UE), a Mobile Station (MS), a Mobile Terminal (MT), an access terminal device, a vehicle-mounted terminal device, an industrial control terminal device, a UE unit, a UE station, a mobile station, a remote terminal device, a mobile device, a UE terminal device, a wireless communication device, a UE agent, or a UE apparatus. The terminal device may be fixed or mobile. It should be noted that the terminal device may support at least one wireless communication technology, such as LTE, new radio, NR, etc. For example, the terminal device may be a mobile phone, a tablet, a desktop, a notebook, a kiosk, a car-mounted terminal, a Virtual Reality (VR) terminal device, an augmented reality (augmented reality, AR) terminal device, a wireless terminal in an industrial control (industrial control), a wireless terminal in a self-driving (self-driving), a wireless terminal in a teleoperation (remote medical surgery), a wireless terminal in a smart grid, a wireless terminal in a transportation security (transportation safety), a wireless terminal in a smart city, a wireless terminal in a smart home (smart home), a cellular phone, a cordless phone, a session initiation protocol (session initiation protocol, SIP) phone, a wireless local loop (wireless local loop, WLL) station, a personal digital assistant (personal digital assistant, PDA), a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, a wearable device, a terminal in a future mobile communication network, or a public land mobile network (public land mobile network) in a future mobile communication network, etc. In some embodiments of the present application, the terminal device may also be a device with a transceiver function, such as a chip system. The chip system may include a chip and may also include other discrete devices.
Referring to fig. 1, fig. 1 provides a schematic structural diagram of a terminal device, as shown in fig. 1, where the terminal may specifically include: the device comprises a processor, a memory, a communication unit, a camera and a bus, wherein the processor, the memory, the communication unit and the camera are connected through the bus.
May further include: the audio collection unit may be a microphone or other audio collection device.
The communication unit may be used to provide the terminal with the capability to communicate with external devices. The communication unit may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals. The wireless communication circuitry in the communication unit may include radio frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless communication circuitry in the communication unit may include circuitry for supporting near field communication (Near Field Communication, NFC) by transmitting and receiving near field coupled electromagnetic signals. For example, the communication unit may comprise a near field communication antenna and a near field communication transceiver. The communication unit may also include a cellular telephone transceiver and antenna, a wireless local area network transceiver circuit and antenna, and the like.
The communication unit may support a plurality of communication protocols, for example, a mobile communication protocol such as 5G, LTE, and of course, may also support a short-range communication protocol such as WIFI, bluetooth, and the like.
The terminal may further include a battery, power management circuitry, and other input-output units. The input-output unit may include buttons, a joystick, a display screen, or the like.
The service method of electronic commerce of enterprises to individuals has been shifted from a picture recommending mode to a video recommending mode, the existing short video can recommend corresponding goods, but the existing short video has limited goods recommending mode, in some shot short videos, only a publisher (the publisher of the short video) agrees or operates himself to purchase goods (as shown in fig. 1a, a shopping link is displayed, such as the lower left corner) can be realized, because for the publisher, the publisher may not operate a shop, but for individuals, when seeing a short video, the inside clothes are beautiful, people want to purchase the same clothes, but the publisher of the short video does not provide a shopping port (as shown in fig. 1b, such as the lower left corner is a prop), so that the user cannot realize the purchase of goods, the user purchasing threshold is improved, and the user experience is reduced.
Referring to fig. 2, fig. 2 provides an enterprise-to-person e-commerce service method, which may be performed in a terminal device as shown in fig. 1, and which includes the steps of:
step S200, the terminal equipment determines a first video selected by a target object, and plays the first video to the target object;
the target object may be a person, for example.
Step S201, when the terminal equipment determines that the first video does not have a shopping link, extracting multi-frame pictures of the first video, wherein the time difference between two adjacent frames of pictures in the multi-frame pictures is the same, respectively identifying each frame of picture in the multi-frame pictures as an input picture for photographing shopping to obtain at least one shopping video corresponding to the multi-frame picture, and displaying at least one link of the at least one shopping video in a preset position of the first video in a preset mode;
for example, the time difference between two adjacent frames of pictures in the multi-frame pictures may include:
and extracting one frame of picture at each set time interval of the first video to obtain a plurality of frames of pictures. For example, the first video is a 5 second video, and a first frame of picture is extracted, and then a frame of picture is extracted every 1 second to obtain 5 frames of pictures.
By way of example, the preset location may be a specific location specified for a short video application, such as a lower left corner region, an upper right corner region, and so on.
The preset form specifically may include: shopping + shopping cart picture mode, of course, may also include: shopping + merchandise display, etc.
For example, the method for determining that the first video does not have a shopping link by the terminal device may specifically include:
the terminal equipment identifies the keywords of the characters in the first video to obtain a plurality of keywords in the first video, determines whether shopping exists in the keywords, determines that the first video has shopping links if shopping exists in the keywords, and determines that the first video does not have shopping links if shopping does not exist.
The identifying each frame of picture in the multi-frame pictures as the input picture of photographing and shopping to obtain at least one shopping video corresponding to the multi-frame picture may specifically include:
and calling a shopping identification algorithm to identify and determine a corresponding shopping video for each frame of picture, traversing the multi-frame picture to obtain a plurality of shopping videos corresponding to the multi-frame picture, and merging the same shopping videos in the plurality of shopping videos to obtain at least one shopping video.
Of course, in practical application, other shopping identification algorithms may be adopted, and the present application is not limited to the specific implementation manner of the shopping identification algorithm.
Of course, in practical applications, other short video applications may also be used.
Step S202, when the terminal equipment receives that the target object clicks a first link in the at least one link, playing shopping video corresponding to the first link, and entering a shopping page corresponding to the first link.
The technical scheme provided by the application is that the terminal equipment determines a first video selected by a target object, and plays the first video to the target object; the method comprises the steps that terminal equipment extracts multi-frame pictures of a first video, the time difference of two adjacent frames of pictures in the multi-frame pictures is the same, each frame of picture in the multi-frame pictures is respectively used as an input picture for photographing and shopping to identify at least one shopping video corresponding to the multi-frame picture, and at least one link of the at least one shopping video is displayed at a preset position of the first video in a preset mode; and when the terminal equipment receives that the target object clicks a first link in the at least one link, playing shopping video corresponding to the first link, and entering a shopping page corresponding to the first link. Therefore, shopping links are provided for the target objects in the non-shopping link video, and the shopping experience of the user is improved.
For example, if at least one link is a plurality of links, the method may further include:
the method comprises the steps that a terminal device determines a first identity of a target object, extracts historical consumption information of the first identity, determines a category weight value list of the first identity for the historical consumption information, determines a plurality of categories corresponding to a plurality of links, extracts a plurality of weight values corresponding to the categories from the category weight value list, arranges the plurality of weight values in descending order to obtain a first sequence, and displays the links at preset positions of a first video according to the sequence of the first sequence.
The category weight value list may include weight values of all categories, and the category classification may refer to trademark category classification. The specific weight value can be determined according to the purchase times, for example, 2 times of mobile phone purchase, 4 times of child garment purchase and 3 times of food purchase are performed in the history consumption record, and the corresponding category weight value list specifically can comprise mobile phone (2), child garment (4) and food (3); the weight values of other categories are all 0, and the values in brackets are weight values. It can be calculated by some formulas, and the application is not limited to the determination of the weight value.
The determining, by the terminal device, the first identity of the target object may specifically include:
collecting a face picture of a target object, carrying out feature extraction on the face picture to obtain input data, carrying out n layers of convolution operation on the input data to obtain an operation result, carrying out subtraction operation on the operation result and a template operation result to obtain a difference value, and if the difference value is smaller than a verification threshold value, determining that a first identity of the target object is the identity corresponding to the template operation result.
And n is an integer greater than or equal to 2.
For example, if the input data is an input matrix, the performing the n-layer convolution operation on the input data to obtain the operation result may specifically include:
performing first-layer convolution operation on the input matrix to obtain a first-layer convolution result, and performing next-layer convolution operation on the first-layer convolution result serving as the input matrix of the next layer to obtain a next-layer convolution result until n-layer convolution operation is performed to obtain an operation result; the performing the first layer convolution operation on the input matrix to obtain a first layer convolution result may specifically include:
acquiring the convolution kernel size [ x ] of the first layer of convolution operation, cutting an input matrix by taking the size [ x ] as a sliding window size to obtain alpha cutting matrixes, wherein the size of the cutting matrixes is the size [ x ] of the first layer of convolution operation, and comparing the alpha cutting matrixes to determine that element values are completely identicalThe same number of the cutting matrixes is used for obtaining the maximum value beta in the number of the identical cutting matrixes, and if beta is larger than a first threshold value, a bitmap (bitmap) of the beta cutting matrixes relative to the alpha cutting matrixes is constructed; traversing each cutting matrix in the alpha cutting matrixes, wherein if the cutting matrix belongs to the beta cutting matrixes, the value corresponding to the bitmap is 1, and if the cutting matrix does not belong to the beta cutting matrixes, the value corresponding to the bitmap is 0; performing convolution operation on one cutting matrix in the beta cutting matrices and the convolution kernel to obtain a calculation result β When the alpha cutting matrixes and the convolution kernel are subjected to convolution operation, the value of the ith cutting matrix in the bitmap is extracted, and if the value is equal to 1, the calculation result is directly output β If the value is equal to 0, performing convolution operation on the ith cutting matrix and the convolution kernel to obtain a calculation result i And traversing the alpha cutting matrixes to execute convolution operation to obtain a first-layer convolution result. The convolution operation of other layers (subsequent layers) may also refer to the above manner, and will not be described herein.
The above x may be 3, 4 or 5.
The following illustrates a bitmap by way of a practical example, which may specifically include: if the α cut matrices are 1000, then the bit corresponding to the bitmap is also 1000 bits, and if β=100 and the β cut matrices are located in the first 100 of the 1000 cut matrices, then the first 100 bits of the bitmap are 1, and the last 900 are 0. It should be noted that the positions corresponding to the above β cutting matrices are merely illustrative, and may be different in practical applications.
The cutting matrix with identical element values may specifically include: the values of each corresponding position of the 2 cutting matrices are the same.
The first threshold is generally relatively large, for example, 50, 100, 200, etc.
The principle of the scheme specifically comprises the following steps: the same cutting matrix and convolution kernel (the same value of the convolution kernel) are the same result, but the existing convolution operation is not differentiated and is directly calculated, and for a face picture, the input matrix can be the RGB value of the pixel point, and for a face picture, the RGB value of most of the pixel points is the RGB value of the skin, so that the face picture is provided with the following componentsThe probability of the same element value will be higher, in this way the number of convolution operations can be reduced, since for the beta cut matrices only one convolution operation is performed, the other directly calls the calculation result β Therefore, it can reduce the amount of calculation and improve the calculation efficiency. The above calculation result β Calculation result i The subscripts in (2) are merely labels to distinguish the results of the calculations.
Referring to fig. 3, fig. 3 provides an enterprise-to-person e-commerce service system,
a determining unit 301, configured to determine a first video selected by a target object;
a processing unit 302, configured to play the first video to the target object; when the first video is determined to not have shopping links, extracting multi-frame pictures of the first video, wherein the time difference of two adjacent frames of pictures in the multi-frame pictures is the same, respectively identifying each frame of picture in the multi-frame pictures as an input picture for photographing and shopping to obtain at least one shopping video corresponding to the multi-frame picture, and displaying at least one link of the at least one shopping video at a preset position of the first video in a preset mode; and when the target object is received to click on a first link in the at least one link, playing shopping video corresponding to the first link, and entering a shopping page corresponding to the first link.
The technical scheme provided by the application is that the terminal equipment determines a first video selected by a target object, and plays the first video to the target object; the method comprises the steps that terminal equipment extracts multi-frame pictures of a first video, the time difference of two adjacent frames of pictures in the multi-frame pictures is the same, each frame of picture in the multi-frame pictures is respectively used as an input picture for photographing and shopping to identify at least one shopping video corresponding to the multi-frame picture, and at least one link of the at least one shopping video is displayed at a preset position of the first video in a preset mode; and when the terminal equipment receives that the target object clicks a first link in the at least one link, playing shopping video corresponding to the first link, and entering a shopping page corresponding to the first link. Therefore, shopping links are provided for the target objects in the non-shopping link video, and the shopping experience of the user is improved.
By way of example only, the present application is directed to a method of,
the processing unit is specifically configured to identify keywords from text in the first video to obtain a plurality of keywords in the first video, determine whether shopping exists in the plurality of keywords, and if shopping does not exist in the plurality of keywords, determine that the first video does not have shopping links.
By way of example only, the present application is directed to a method of,
the processing unit is specifically used for calling a shopping identification algorithm to identify and determine corresponding shopping videos for each frame of picture, traversing the multi-frame picture to obtain a plurality of shopping videos corresponding to the multi-frame picture, and combining the same shopping videos in the plurality of shopping videos to obtain at least one shopping video.
By way of example only, the present application is directed to a method of,
the processing unit is specifically configured to determine a first identity of a target object, extract historical consumption information of the first identity, determine a category weight value list of the first identity for the historical consumption information, determine a plurality of categories corresponding to a plurality of links by using the terminal device, extract a plurality of weight values corresponding to the plurality of categories from the category weight value list, arrange the plurality of weight values in descending order to obtain a first sequence, and display the plurality of links at a preset position of a first video according to the sequence of the first sequence.
By way of example only, the present application is directed to a method of,
the processing unit may also be configured to perform a refinement or example scheme of the embodiment shown in fig. 2, which is not described herein.
The embodiment of the present application also provides a computer storage medium storing a computer program for electronic data exchange, the computer program causing a computer to execute part or all of the steps of any one of the methods described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps of any one of the methods described in the method embodiments above.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are alternative embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
The foregoing has outlined rather broadly the more detailed description of embodiments of the application, wherein the principles and embodiments of the application are explained in detail using specific examples, the above examples being provided solely to facilitate the understanding of the method and core concepts of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (7)
1. A business-to-person e-commerce service method, the method comprising the steps of:
the terminal equipment determines a first video selected by a target object, and plays the first video to the target object;
when the terminal equipment determines that the first video does not have shopping links, extracting multi-frame pictures of the first video, wherein the time difference between two adjacent frames of pictures in the multi-frame pictures is the same, respectively identifying each frame of picture in the multi-frame pictures as an input picture for photographing shopping to obtain at least one shopping video corresponding to the multi-frame picture, and displaying at least one link of the at least one shopping video at a preset position of the first video in a preset mode;
when the terminal equipment receives that the target object clicks a first link in the at least one link, playing shopping video corresponding to the first link, and entering a shopping page corresponding to the first link;
if at least one link is a plurality of links, the method further comprises:
the method comprises the steps that a terminal device determines a first identity of a target object, extracts historical consumption information of the first identity, determines a category weight value list of the first identity for the historical consumption information, determines a plurality of categories corresponding to a plurality of links, extracts a plurality of weight values corresponding to the categories from the category weight value list, arranges the plurality of weight values in descending order to obtain a first sequence, and displays the links at preset positions of a first video according to the sequence of the first sequence;
the determining, by the terminal device, the first identity of the target object specifically includes:
collecting a face picture of a target object, performing feature extraction on the face picture to obtain input data, performing n layers of convolution operation on the input data to obtain an operation result, performing subtraction operation according to the operation result and a template operation result to obtain a difference value, and determining a first identity of the target object as an identity corresponding to the template operation result if the difference value is smaller than a verification threshold value; n is an integer of 2 or more;
if the input data is an input matrix, the performing n-layer convolution operation on the input data to obtain an operation result specifically includes:
performing first-layer convolution operation on the input matrix to obtain a first-layer convolution result, and performing next-layer convolution operation on the first-layer convolution result serving as the input matrix of the next layer to obtain a next-layer convolution result until n-layer convolution operation is performed to obtain an operation result; the method for performing the first layer convolution operation on the input matrix to obtain a first layer convolution result specifically includes:
acquiring a convolution kernel size N multiplied by N of a first layer of convolution operation, cutting an input matrix by taking N multiplied by N as a sliding window size to obtain alpha cutting matrixes, wherein the size of the cutting matrixes is N multiplied by N, comparing the alpha cutting matrixes to determine the number of the cutting matrixes with identical element values, acquiring the maximum value beta in the number of the identical cutting matrixes, and if beta is larger than a first threshold value, constructing a bitmap of the beta cutting matrixes relative to the alpha cutting matrixes; traversing each cut in the alpha cut matricesThe matrix, if cut matrix belongs to beta cut matrix, the value that the bitmap corresponds to is 1, if cut matrix does not belong to beta cut matrix, the value that the bitmap corresponds to is 0; performing convolution operation on one cutting matrix in the beta cutting matrices and the convolution kernel to obtain a calculation result β When the alpha cutting matrixes and the convolution kernel are subjected to convolution operation, the value of the ith cutting matrix in the bitmap is extracted, and if the value is equal to 1, the calculation result is directly output β If the value is equal to 0, performing convolution operation on the ith cutting matrix and the convolution kernel to obtain a calculation result i Traversing the alpha cutting matrixes to execute convolution operation to obtain a first layer convolution result;
the above N is 3, 4 or 5.
2. The method according to claim 1, wherein the manner in which the terminal device determines that the first video does not have a shopping link specifically comprises:
and the terminal equipment identifies the keywords of the characters in the first video to obtain a plurality of keywords in the first video, determines whether shopping exists in the keywords, and determines that the first video does not have shopping links if shopping does not exist in the keywords.
3. The method of claim 1, wherein the identifying each of the plurality of frames of pictures as the input picture of the photographed shopping to obtain at least one shopping video corresponding to the plurality of frames of pictures specifically comprises:
and calling a shopping identification algorithm to identify and determine a corresponding shopping video for each frame of picture, traversing the multi-frame picture to obtain a plurality of shopping videos corresponding to the multi-frame picture, and merging the same shopping videos in the plurality of shopping videos to obtain at least one shopping video.
4. An enterprise-to-person e-commerce service system, characterized in that,
a determining unit, configured to determine a first video selected by a target object;
the processing unit is used for playing the first video to the target object; when the first video is determined to not have shopping links, extracting multi-frame pictures of the first video, wherein the time difference of two adjacent frames of pictures in the multi-frame pictures is the same, respectively identifying each frame of picture in the multi-frame pictures as an input picture for photographing and shopping to obtain at least one shopping video corresponding to the multi-frame picture, and displaying at least one link of the at least one shopping video at a preset position of the first video in a preset mode; when a target object is received to click a first link in the at least one link, playing shopping video corresponding to the first link, and entering a shopping page corresponding to the first link;
the processing unit is specifically configured to determine a first identity of a target object, extract historical consumption information of the first identity, determine a category weight value list of the first identity for the historical consumption information, determine a plurality of categories corresponding to a plurality of links by using the terminal device, extract a plurality of weight values corresponding to the plurality of categories from the category weight value list, arrange the plurality of weight values in descending order to obtain a first sequence, and display the plurality of links at a preset position of a first video according to the sequence of the first sequence;
the determining, by the terminal device, the first identity of the target object specifically includes:
collecting a face picture of a target object, performing feature extraction on the face picture to obtain input data, performing n layers of convolution operation on the input data to obtain an operation result, performing subtraction operation according to the operation result and a template operation result to obtain a difference value, and determining a first identity of the target object as an identity corresponding to the template operation result if the difference value is smaller than a verification threshold value; n is an integer of 2 or more;
if the input data is an input matrix, the performing n-layer convolution operation on the input data to obtain an operation result specifically includes:
performing first-layer convolution operation on the input matrix to obtain a first-layer convolution result, and performing next-layer convolution operation on the first-layer convolution result serving as the input matrix of the next layer to obtain a next-layer convolution result until n-layer convolution operation is performed to obtain an operation result; the method for performing the first layer convolution operation on the input matrix to obtain a first layer convolution result specifically includes:
obtaining first-layer convolution operationsThe convolution kernel size N multiplied by N is used as a sliding window size to cut an input matrix to obtain alpha cutting matrixes, the size of the cutting matrixes is N multiplied by N, the alpha cutting matrixes are compared to determine the number of the cutting matrixes with identical element values, the maximum value X0 in the number of the identical cutting matrixes is obtained, and if X1 is larger than a first threshold value, a bitmap of the X2 cutting matrixes relative to the alpha cutting matrixes is constructed; traversing each cutting matrix in the alpha cutting matrixes, wherein if the cutting matrix belongs to the beta cutting matrixes, the value corresponding to the bitmap is 1, and if the cutting matrix does not belong to the beta cutting matrixes, the value corresponding to the bitmap is 0; performing convolution operation on one cutting matrix in the beta cutting matrices and the convolution kernel to obtain a calculation result β When the alpha cutting matrixes and the convolution kernel are subjected to convolution operation, the value of the ith cutting matrix in the bitmap is extracted, and if the value is equal to 1, the calculation result is directly output β If the value is equal to 0, performing convolution operation on the ith cutting matrix and the convolution kernel to obtain a calculation result i Traversing the alpha cutting matrixes to execute convolution operation to obtain a first layer convolution result;
the above N is 3, 4 or 5.
5. The system of claim 4, wherein the system further comprises a controller configured to control the controller,
the processing unit is specifically configured to identify keywords from text in the first video to obtain a plurality of keywords in the first video, determine whether shopping exists in the plurality of keywords, and if shopping does not exist in the plurality of keywords, determine that the first video does not have shopping links.
6. The system of claim 4, wherein the system further comprises a controller configured to control the controller,
the processing unit is specifically used for calling a shopping identification algorithm to identify and determine corresponding shopping videos for each frame of picture, traversing the multi-frame picture to obtain a plurality of shopping videos corresponding to the multi-frame picture, and combining the same shopping videos in the plurality of shopping videos to obtain at least one shopping video.
7. A computer-readable storage medium storing a program for electronic data exchange, wherein the program causes a terminal to perform the method provided in any one of claims 1-3.
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