E-commerce platform data processing method and system based on big data

Abstract

The invention provides an e-commerce platform data processing method and system based on big data. The method comprises the following steps: constructing a current commodity model corresponding to a current e-commerce commodity, and determining each current structure element of the current e-commerce commodity; historical e-commerce commodities of the same type as the current e-commerce commodities and a historical interaction interface are called, a historical first area of the historical interaction interface is provided with historical commodity models corresponding to the historical e-commerce commodities, and a historical second area is provided with historical structure elements forming the historical e-commerce commodities; updating the historical first area and the historical second area based on the current commodity model and each current structure element to obtain a current interaction interface with the current first area and the current second area; and the e-commerce end interacts with each current structure element to generate each promotion video segment corresponding to each current structure element, and the promotion video segments are fused in sequence based on the interaction sequence of the e-commerce end on each current structure element to obtain a fused promotion video. According to the invention, the recording efficiency of the promotion video is at least improved.

Description

Technical Field

[0001] The present invention relates to data processing technology, and in particular to a data processing method and system for an e-commerce platform based on big data. Background Art

[0002] E-commerce sales are a crucial part of business, directly impacting product sales and market competitiveness. Publishing e-commerce sales videos is a common method of e-commerce sales. A successful e-commerce sales video can effectively attract consumers' attention and increase sales.

[0003] Currently, in the existing sales video recordings, most do not provide a detailed display of each element of the e-commerce product separately, which makes it impossible for consumers to see all the details of the product, which in turn affects the corresponding sales results, may reduce sales and cause a certain amount of customer loss. Summary of the Invention

[0004] Based on the above problems, the present invention is proposed to provide a data processing method and system for an e-commerce platform based on big data to overcome the above problems or at least partially solve the above problems.

[0005] According to one aspect of the present invention, a method for processing data on an e-commerce platform based on big data is provided, comprising the following steps: Constructing a current product model corresponding to the current e-commerce product, and determining the current structural elements constituting the current e-commerce product based on the current product model; Retrieving historical e-commerce products of the same type as the current e-commerce product and a historical interaction interface, wherein the historical first area of ​​the historical interaction interface is populated with a historical product model corresponding to the historical e-commerce product, and the historical second area is populated with various historical structural elements that constitute the historical e-commerce product; The historical first region and the historical second region are updated based on the current product model and each current structural element respectively, to obtain a current interaction interface including the current first region and the current second region; In response to the e-commerce end's interaction with each current structural element, promotional video segments corresponding to each current structural element are generated respectively, and the promotional video segments are sequentially fused based on the interaction order of the e-commerce end with each current structural element to obtain a fused promotional video.

[0006] Optionally, in the method according to the present invention, the second historical area includes historical element slots arranged in a line along the vertical direction, and the historical structural elements are respectively filled into different historical element slots; Update the historical second area based on various current structural elements, including: Delete the historical structural elements located in the historical element slots to obtain blank element slots; Determine the current number of elements of each current structural element and the number of slots of each blank element slot, and obtain the difference between the current number of elements and the number of slots; Based on the quantity difference, the blank element slots are increased or decreased until the number of slots is the same as the number of current elements, and each current structural element is filled into each blank element slot after the increase or decrease, to obtain each current element slot; Obtaining a vertical height of the second historical region in a vertical direction, and dividing the second historical region into equal parts based on the vertical height and the current number of elements, to obtain sub-regions arranged in a line along the vertical direction and having equal intervals; The current element slots are adjusted to be located in the sub-areas respectively, to obtain the current second area.

[0007] Optionally, in the method according to the present invention, the method further comprises: In response to the location modification request sent by the e-commerce terminal, generating respective regional frames surrounding each sub-region and configured based on different colors in the current second region, and sending the current interactive interface to the e-commerce terminal; In response to a first frame interaction performed by the e-commerce terminal on any regional frame, determining an element model portion in the current product model corresponding to a current structural element located in the regional frame, and configuring the element model portion based on a color identical to that of the regional frame; In response to the second frame interaction performed by the e-commerce end on the regional frame, the regional frame is moved to an interactive position in the current second region.

[0008] Optionally, in the method according to the present invention, generating promotional video segments corresponding to the current structural elements in response to the e-commerce end interacting with the current structural elements includes: In response to the video generation request sent by the e-commerce terminal, sending the current interactive interface to the e-commerce terminal; In response to an element interaction by the e-commerce terminal with any current structural element located in the current second area, determining an element model portion corresponding to the current structural element in the current product model, and hiding a portion of the current product model other than the element model portion; Based on the preset time, the current first area is recorded to obtain a promotional video segment corresponding to the element model part; in response to the e-commerce end completing the element interaction of each current structural element in turn, each promotional video segment corresponding to each current structural element is obtained.

[0009] Optionally, in the method according to the present invention, recording the current first area based on a preset time to obtain a promotional video segment corresponding to the element model portion includes: Retrieving a historical introduction template corresponding to the historical e-commerce product, wherein the historical introduction template includes standard text characters and color description slots and pattern description slots interspersed between the standard text characters; Performing color recognition and pattern recognition on the element model portion located in the current first region, and determining the color distribution and pattern distribution corresponding to the element model portion; Determining a color description text and a pattern description text based on the color distribution and the pattern distribution, respectively, and filling the color description text and the pattern description text into the color description slot and the pattern description slot, respectively, to obtain a current introduction template; Generating a current third area in the current interactive interface, and filling the current introduction template into the current third area for display; In response to the start of video recording based on the current first area, audio recording is performed on the audio data output by the e-commerce terminal for a preset time, and image recording is performed on the element model part located in the current first area for a preset time to obtain a promotional video segment corresponding to the element model part.

[0010] Optionally, in the method according to the present invention, performing color recognition on the element model portion located in the current first region and determining the color distribution corresponding to the element model portion includes: Obtain each model pixel point of the element model part, and determine each model pixel value corresponding to each model pixel point; Retrieving a color comparison table, wherein the color comparison table includes various color types and respective pixel value intervals corresponding to the various color types; Traversing the color comparison table, determining the color categories corresponding to all pixel value intervals containing each model pixel value, and determining the number of each pixel point of the model pixel point corresponding to each color category; Based on the number of pixels corresponding to each color type, the proportion of each color corresponding to each color type is determined; Each color category and each color proportion corresponding to each color category are determined as a color distribution corresponding to the element model portion.

[0011] Optionally, in the method according to the present invention, performing pattern recognition on the element model portion located in the current first region and determining the pattern distribution corresponding to the element model portion includes: Performing pattern recognition on the element model portion located in the current first region to determine each graphic outline corresponding to the element model portion; Perform shape comparison between each pair of graphic contours, and classify image contours with the same shape into the same pattern type to obtain pattern types; Determining the number of patterns corresponding to each pattern type, and determining the proportion of each pattern corresponding to each pattern type based on the number of patterns corresponding to each pattern type; Each pattern type and each pattern proportion corresponding to each pattern type are determined as a pattern distribution corresponding to the element model portion.

[0012] Optionally, in the method according to the present invention, when the pattern proportion of any pattern type is less than a first preset value, the pattern type is removed from the pattern distribution, and the pattern proportions of other pattern types in the pattern distribution are updated and configured; When the pattern proportion of any pattern type is greater than a second preset value, other pattern types except the pattern type are removed from the pattern distribution, and the pattern proportion of the pattern type is updated; or When the color proportion of any color category is less than a first preset value, the color category is removed from the color distribution, and the color proportions of other color categories in the color distribution are updated and configured; When the color proportion of any color category is greater than a second preset value, the other color categories except the color category are removed from the color distribution, and the color proportion of the color category is updated.

[0013] Optionally, in the method according to the present invention, the promotional video segments are sequentially fused based on the interaction order of the e-commerce terminal with the current structural elements to obtain a fused promotional video, and then the method further includes: Obtaining the video duration of each promotional video segment respectively, and determining the duration ratio of each video segment based on the video duration; Generating a current fourth area and a current fifth area in the current interaction interface, wherein the current fifth area is located below the current fourth area; Generating a video progress bar corresponding to the integrated promotional video in the current fifth area, and dividing the video progress bar into sections based on the interaction order and the duration ratio corresponding to each promotional video segment, to obtain sub-progress bars corresponding to each promotional video segment; Each sub-progress is configured based on a different color, and the integrated promotional video is filled into the current fourth area for display.

[0014] Optionally, in the method according to the present invention, the method further comprises: In response to the integrated promotional video being played, comment information sent from different user terminals during the corresponding playback process is obtained; when it is determined that any comment information contains adjustment suggestion content involving any current structural element, the number of contents corresponding to the same adjustment suggestion content is obtained, and when the number of contents is greater than a preset number, the current structural element is adjusted based on the adjustment suggestion content.

[0015] Optionally, in the method according to the present invention, the method further comprises: the adjustment suggestion content is color suggestion content; Performing element adjustment on the current structural element based on the adjustment suggestion content includes: Determining an adjustment suggestion area and an adjustment suggestion color corresponding to the current structural element based on the adjustment suggestion content, and obtaining an area outline corresponding to the adjustment suggestion area; Retrieving a preset color exclusive table, and determining a mutually exclusive color having a mutually exclusive relationship with the adjustment suggested color based on traversing the preset color exclusive table; The model pixel points located outside the adjustment suggestion area and adjacent to the area outline are compared with the mutually exclusive color, and based on the comparison result, it is determined that the model pixel points are different from the mutually exclusive color, and the element adjustment based on the adjustment suggestion content is performed on the current structural element.

[0016] According to another aspect of the present invention, there is provided an e-commerce platform data processing system based on big data, comprising: a construction module configured to construct a current product model corresponding to a current e-commerce product, and determine, based on the current product model, current structural elements constituting the current e-commerce product; a retrieval module configured to retrieve historical e-commerce products of the same type as the current e-commerce product and a historical interaction interface, wherein a historical first area of ​​the historical interaction interface is populated with a historical product model corresponding to the historical e-commerce product, and a historical second area is populated with various historical structural elements constituting the historical e-commerce product; a replacement module configured to update the historical first region and the historical second region based on the current product model and each current structural element, respectively, to obtain a current interaction interface including the current first region and the current second region; The fusion module is configured to generate promotional video segments corresponding to each current structural element in response to the e-commerce end's interaction with each current structural element, and to fuse the promotional video segments in sequence based on the interaction order of the e-commerce end with each current structural element to obtain a fused promotional video.

[0017] According to the solution of the present invention, the server will construct a current product model corresponding to the current e-commerce product and determine the current structural elements that constitute the current e-commerce product; then, the server will retrieve historical e-commerce products of the same type as the current e-commerce product and the historical interaction interfaces corresponding to the historical e-commerce products; at this time, the server will update the historical first area and the historical second area based on the current product model and the current structural elements, and obtain the current interaction interface including the current first area and the current second area after the update; then, the server responds to the e-commerce end to interact with the current structural elements to generate each promotional video segment corresponding to each current structural element, and sequentially fuses the promotional video segments based on the interaction order of the e-commerce end to interact with the current structural elements, thereby obtaining a fused promotional video. The present invention updates the current e-commerce product by calling the corresponding historical interaction interface to obtain the corresponding current interaction interface, which can greatly reduce the corresponding data processing amount and improve the corresponding work processing efficiency; in addition, each promotional video segment can be recorded according to the interaction order of the e-commerce end for each current structural element in the current interface interaction, and the promotional video segments can be integrated to obtain the integrated promotional video corresponding to the current e-commerce product, which is convenient for the subsequent display of the corresponding product through video, thereby saving a certain amount of working time, and also improving the production efficiency of the promotional video. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A flowchart of a data processing method for an e-commerce platform based on big data according to an embodiment of the present invention is shown; Figure 2 A structural block diagram of a big data-based e-commerce platform data processing system according to another embodiment of the present invention is shown. DETAILED DESCRIPTION

[0019] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0020] E-commerce sales are a crucial part of business, directly impacting product sales and market competitiveness. Publishing e-commerce sales videos is a common method of e-commerce sales. A successful e-commerce sales video can effectively attract consumers' attention and increase sales.

[0021] To address the problems in the aforementioned background technology, the inventors have proposed the present invention. One embodiment of the present invention provides a data processing method for an e-commerce platform based on big data. The method can be executed on a computing device, where the computing device can be understood as a terminal with data processing capabilities, such as a mobile phone or computer.

[0022] Figure 1 A flowchart of a data processing method for an e-commerce platform based on big data proposed according to an embodiment of the present invention is shown. The method is suitable for execution in a computing device.

[0023] like Figure 1 As shown, a data processing method for an e-commerce platform based on big data in this embodiment begins at step S101. In step 101, the following steps are included: A current product model corresponding to the current e-commerce product is constructed, and current structural elements constituting the current e-commerce product are determined based on the current product model.

[0024] For example, in this embodiment, the server first constructs a product model corresponding to the current e-commerce product being promoted. For example, if the current e-commerce product is a top, the server constructs a model corresponding to the top, namely the current product model. Based on the current product model, the server then determines the current structural elements that make up the current e-commerce product, such as sleeves and collars. This embodiment can automatically determine the current structural elements that make up the current e-commerce product based on the current product model, thereby improving work efficiency.

[0025] In step S102, the following contents are included: Retrieve historical e-commerce products of the same type as the current e-commerce product and a historical interaction interface, wherein the historical first area of ​​the historical interaction interface is filled with historical product models corresponding to the historical e-commerce products, and the historical second area is filled with various historical structural elements that constitute the historical e-commerce products.

[0026] For example, in this embodiment, after constructing a current product model corresponding to the current e-commerce product, the server retrieves a previously promoted product of the same category as the current e-commerce product, i.e., a historical e-commerce product, and retrieves the interaction interface corresponding to the historical e-commerce product, i.e., the historical interaction interface. For example, if the current e-commerce product is a top, the server retrieves a historical e-commerce product of the same type, i.e., a top, and the historical interaction interface of the historical e-commerce product. The server divides the historical interaction interface into different areas, including a first historical area and a second historical area. The first historical area is populated with the historical product model corresponding to the historical e-commerce product, and the second historical area is populated with the historical structural elements that comprise the historical e-commerce product.

[0027] This embodiment can retrieve historical e-commerce products of the same type as the current e-commerce product and historical interaction interfaces corresponding to the historical e-commerce products according to the type of the current e-commerce product. Here, the historical interaction interface can be understood as the corresponding interface used by the e-commerce end when recording videos of historical e-commerce products. Since the types of the current e-commerce product and the historical e-commerce product are the same, the historical product model and each historical structural element filled in the historical interaction interface may have a certain similarity with the current product model and each current structural element. Based on this, the historical interaction interface can be updated later to obtain the current interaction interface corresponding to the current e-commerce product, thereby reducing the corresponding workload and improving the corresponding data processing efficiency.

[0028] In step S103, the following contents are included: The historical first area and the historical second area are updated based on the current product model and the current structural elements respectively to obtain a current interactive interface including the current first area and the current second area.

[0029] For example, in this embodiment, after calling out the historical interactive interface, the server will fill the current product model into the historical first area (that is, the current product model replaces the historical product model). At this time, the update of the historical first area is completed, and the corresponding current first area is obtained; at the same time, the server will also fill each current structural element into the historical second area (that is, the current structural element replaces the historical structural element). At this time, the update of the historical second area is completed, and the corresponding current second area is obtained; after completing the update of the historical first area and the historical second area, the current interactive interface including the current first area and the current second area can be obtained. This embodiment uses replacement to quickly update the historical first area and the historical second area respectively, so that the current interactive interface corresponding to the current e-commerce product can be obtained, saving a certain amount of working time.

[0030] It can be explained that the second history area of ​​the history interaction interface includes various history element slots arranged in a line along the vertical direction, and various history structural elements are respectively filled into different history element slots; Furthermore, in this embodiment, “updating the historical second region based on each current structural element” further includes the following steps: Delete the historical structural elements located in the historical element slots to obtain blank element slots; Determine the current number of elements of each current structural element and the number of slots of each blank element slot, and obtain the difference between the current number of elements and the number of slots; Based on the quantity difference, the blank element slots are increased or decreased until the number of slots is the same as the number of current elements, and each current structural element is filled into each blank element slot after the increase or decrease, to obtain each current element slot; Obtaining a vertical height of the second historical region in a vertical direction, and dividing the second historical region into equal parts based on the vertical height and the current number of elements, to obtain sub-regions arranged in a line along the vertical direction and having equal intervals; The current element slots are adjusted to be located in the sub-areas respectively, to obtain the current second area.

[0031] For example, in this embodiment, in the history second area of ​​the history interaction interface called out by the server, there are slots arranged in a line in the vertical direction, namely, the history element slots. Each history element slot is filled with a history structure element. After calling out the history interaction interface, the server will first delete the history structure elements respectively located in the history element slots, and obtain the blank element slots after deletion. The server will then determine the current number of elements of each current structure element and the number of slots of each blank element slot, and perform a difference calculation between the current number of elements and the number of slots, thereby obtaining the difference between the current number of elements and the number of slots, to determine whether all the current structure elements can just be filled into the existing blank element slots.

[0032] If the quantity difference is 0, it means that the current number of elements is equal to the number of slots, which means that each current structural element can just be filled into the existing blank element slots. At this time, the server will fill each current structural element into each blank element slot respectively to obtain each current element slot; if the quantity difference is not 0, it means that the current number of elements is not equal to the number of slots, and each current structural element cannot be filled into each blank element slot respectively. At this time, the server will increase or decrease the blank element slots according to the quantity difference, so that the number of slots after increase or decrease is the same as the current number of elements. For example, if the quantity difference is 1, it means that the current number of elements is 1 more than the number of slots. At this time, the server will add a blank element slot to make the number of blank element slots the same as the current number of elements, and then the server will fill each current structural element into each blank element slot respectively to obtain each current element slot.

[0033] Since the number of current element slots and the number of blank element slots may be different, the server will obtain the vertical height of the historical second area, that is, the vertical height, and then divide the vertical height of the historical second area into equal areas based on the current number of elements. At this time, the server will obtain sub-areas arranged in a line along the vertical direction and with the same intervals, and then the server will adjust each current element slot to each sub-area respectively, thereby obtaining the current second area.

[0034] This embodiment can determine whether all current structural elements can be just filled into the existing blank element slots based on the difference between the current number of elements and the number of slots. If the difference is not 0, the server will increase or decrease the blank element slots according to the difference, so that the number of slots after increase or decrease is the same as the current number of elements, and divide the vertical height of the historical second area into equal areas based on the current number of elements, so that the area division of the interactive interface is more beautiful and has a certain degree of flexibility.

[0035] Furthermore, the above method further includes the following steps: In response to the location modification request sent by the e-commerce terminal, generating respective regional frames surrounding each sub-region and configured based on different colors in the current second region, and sending the current interactive interface to the e-commerce terminal; In response to a first frame interaction performed by the e-commerce terminal on any regional frame, determining an element model portion in the current product model corresponding to a current structural element located in the regional frame, and configuring the element model portion based on a color identical to that of the regional frame; In response to the second frame interaction performed by the e-commerce end on the regional frame, the regional frame is moved to an interactive position in the current second region.

[0036] For example, in this embodiment, after the server adjusts each current element slot to be located in each sub-area, the e-commerce end can modify the arrangement order of each current element slot according to the actual situation. When the server receives the position modification request sent by the e-commerce end, it will generate a frame surrounding each sub-area in the current second area, that is, each area frame, and configure each area frame with a different color to increase a certain degree of marking.

[0037] The server will then send the current interactive interface to the e-commerce end. At this time, the e-commerce end can click on any regional frame according to the modification requirements, which is the first frame interaction. The server will determine the element model part of the current product model in the first area that corresponds to the current structural element located in the regional frame, and configure the element model part with the same color as the regional frame. For example, when the e-commerce end clicks on the sub-area where the current structural element, the collar, is placed, if the regional frame color of the sub-area is red, the server will configure the collar part in the current product model to be red. At this time, the e-commerce end can see the specific position of the current structural element in the current product model. When the e-commerce end clicks on the regional frame of the sub-area to which the current structural element is to be modified, which is the second frame interaction, the server will move the regional frame to the interactive position in the current second area.

[0038] This embodiment enables the e-commerce end to quickly determine the specific position of the current structural element for the first frame interaction in the current product model, and reconfirm whether the current structural element for which the position is to be modified is the current structural element for the first frame interaction. This embodiment can avoid the situation where the e-commerce end makes erroneous position modifications, thereby improving work efficiency to a certain extent.

[0039] In step S104, the following contents are included: In response to the e-commerce end's interaction with each current structural element, promotional video segments corresponding to each current structural element are generated respectively, and the promotional video segments are sequentially fused based on the interaction order of the e-commerce end with each current structural element to obtain a fused promotional video.

[0040] For example, in this embodiment, a salesperson can record a promotional video for a current e-commerce product using an e-commerce terminal, which can be a terminal device such as a mobile phone or computer. When the salesperson clicks on a current structural element in the current interactive interface using the e-commerce terminal, the server can immediately begin recording a promotional video segment in which the salesperson introduces the current structural element. As the e-commerce terminal interacts with each current structural element in sequence, the server generates promotional video segments corresponding to each current structural element and fuses these promotional video segments based on the order in which the e-commerce terminal interacted with the current structural elements, thereby generating a fused promotional video.

[0041] Furthermore, the above-mentioned "responding to the e-commerce end interacting with each current structural element and generating each promotional video segment corresponding to each current structural element" further includes the following steps: In response to the video generation request sent by the e-commerce terminal, sending the current interactive interface to the e-commerce terminal; In response to an element interaction by the e-commerce terminal with any current structural element located in the current second area, determining an element model portion corresponding to the current structural element in the current product model, and hiding a portion of the current product model other than the element model portion; Based on the preset time, the current first area is recorded to obtain a promotional video segment corresponding to the element model part; in response to the e-commerce end completing the element interaction of each current structural element in turn, each promotional video segment corresponding to each current structural element is obtained.

[0042] For example, in this embodiment, when an e-commerce client wants to record a promotional video, it can send a video generation request. Upon receiving the video generation request, the server will send the current interactive interface to the e-commerce client. The e-commerce client can then click on any current structural element in the second area based on actual recording needs. The server will then determine the element model portion of the current product model corresponding to the current structural element and hide all other parts of the current product model except for the element model portion. Subsequently, the e-commerce client can rotate the element model portion of the current structural element when recording the promotional video, making the presentation and explanation of the current structural element more detailed and clear.

[0043] The recording time of the promotional video can be preset according to the actual situation. After the server records the video of the current first area according to the preset time, it will obtain the promotional video segment corresponding to the element model part. When the e-commerce end completes the recording of the promotional video of each current structural element in turn, the server will obtain the promotional video segments corresponding to each current structural element.

[0044] Furthermore, the above-mentioned "recording the current first area based on the preset time to obtain a promotional video segment corresponding to the element model portion" further includes the following steps: Retrieving a historical introduction template corresponding to the historical e-commerce product, wherein the historical introduction template includes standard text characters and color description slots and pattern description slots interspersed between the standard text characters; Performing color recognition and pattern recognition on the element model portion located in the current first region, and determining the color distribution and pattern distribution corresponding to the element model portion; Determining a color description text and a pattern description text based on the color distribution and the pattern distribution, respectively, and filling the color description text and the pattern description text into the color description slot and the pattern description slot, respectively, to obtain a current introduction template; Generating a current third area on the current interactive interface, and filling the current introduction template into the current third area for display; In response to the start of video recording based on the current first area, audio recording is performed on the audio data output by the e-commerce terminal for a preset time, and image recording is performed on the element model part located in the current first area for a preset time to obtain a promotional video segment corresponding to the element model part.

[0045] For example, in this embodiment, when the server records a promotional video on the e-commerce side, it will call the historical introduction template corresponding to the historical e-commerce product. The historical introduction template contains various standard text characters and color description slots and pattern description slots interspersed between the standard text characters. For example, in the standard text character "This top is green and has a flower pattern printed on it", the text characters filled in the color description slot are "green" and the text characters filled in the pattern description slot are "flowers".

[0046] At this point, the server performs color and pattern recognition on the element model portion in the current first region, determining the color and pattern distribution of the element model portion. Based on the color and pattern distributions, the server then determines color and pattern description text, which are then filled into the color and pattern description slots, respectively, to obtain the current introduction template. The server then generates a current third region on the current interactive interface. The current third region can be located above or below the current interactive interface. The server fills the current introduction template into the current third region and displays it. When video recording begins in the current first region, the server simultaneously captures audio data output by the e-commerce end and performs an image recording of the element model portion in the current first region, thereby obtaining a promotional video segment corresponding to the element model portion. This embodiment automatically generates a segment of introduction text based on the item characteristics of the element model portion in the first region when the e-commerce end is recording a promotional video. This allows the e-commerce end to refer to the introduction text when recording the promotional video, thereby improving work efficiency.

[0047] Furthermore, the above-mentioned “performing color recognition on the element model portion located in the current first region and determining the color distribution corresponding to the element model portion” further includes the following steps: Obtain each model pixel point of the element model part, and determine each model pixel value corresponding to each model pixel point; Retrieving a color comparison table, wherein the color comparison table includes various color types and respective pixel value intervals corresponding to the various color types; Traversing the color comparison table, determining the color categories corresponding to all pixel value intervals containing each model pixel value, and determining the number of each pixel point of the model pixel point corresponding to each color category; Based on the number of pixels corresponding to each color type, the proportion of each color corresponding to each color type is determined; Each color category and each color proportion corresponding to each color category are determined as a color distribution corresponding to the element model portion.

[0048] For example, in this embodiment, when the server performs color recognition on the element model portion in the current first region, it first obtains each model pixel of the element model portion and determines the model pixel values ​​corresponding to each model pixel. The server then retrieves a color comparison table, which contains each color type and the pixel value intervals corresponding to each color type. The server can then determine all pixel value intervals containing each model pixel value in the color comparison table, as well as the color types corresponding to these pixel value intervals, and then determine the number of model pixels corresponding to each color type. The server can then determine the color proportions of each color type based on the number of pixels corresponding to each color type. For example, if the current e-commerce product includes two color types, one color type has 30 pixels and the other color type has 70 pixels, then the color proportions of the two color types are 30% and 70%, respectively. The color types and the color proportions corresponding to each color type are then determined as the color distribution of the element model portion.

[0049] Furthermore, the above-mentioned “performing pattern recognition on the element model portion located in the current first region and determining the pattern distribution corresponding to the element model portion” further includes the following steps: Performing pattern recognition on the element model portion located in the current first region to determine each graphic outline corresponding to the element model portion; Perform shape comparison between each pair of graphic contours, and classify image contours with the same shape into the same pattern type to obtain pattern types; Determining the number of patterns corresponding to each pattern type, and determining the proportion of each pattern corresponding to each pattern type based on the number of patterns corresponding to each pattern type; Each pattern type and each pattern proportion corresponding to each pattern type are determined as a pattern distribution corresponding to the element model portion.

[0050] For example, in this embodiment, after the server performs pattern recognition on the element model part in the current first area, it can determine the various graphic contours of the element model part, such as identifying the contours of patterns such as flowers and the sun. The server will then perform shape comparisons on all graphic contours, classify each image contour with the same shape into the same pattern type, obtain each pattern type, and determine the number of patterns in each pattern type. At this time, the server can determine the proportion of each pattern in each pattern type based on the number of patterns in each pattern type. For example, the current e-commerce product includes two pattern types, one pattern type has 4 patterns, and the other pattern type has 6 patterns. The pattern proportions of these two pattern types are 40% and 60% respectively. The server then determines each pattern type and the proportion of each pattern corresponding to each pattern type as the pattern distribution of the element model part.

[0051] Furthermore, the above-mentioned e-commerce platform data processing method based on big data further includes the following steps: When the pattern proportion of any pattern type is less than a first preset value, the pattern type is removed from the pattern distribution, and the pattern proportions of other pattern types in the pattern distribution are updated and configured; When the pattern proportion of any pattern type is greater than a second preset value, other pattern types except the pattern type are removed from the pattern distribution, and the pattern proportion of the pattern type is updated; or When the color proportion of any color category is less than a first preset value, the color category is removed from the color distribution, and the color proportions of other color categories in the color distribution are updated and configured; When the color proportion of any color category is greater than a second preset value, the other color categories except the color category are removed from the color distribution, and the color proportion of the color category is updated.

[0052] For example, in this embodiment, when the server performs pattern recognition, if the pattern proportion of any pattern type is less than a first preset value, which may be 10%, it indicates that the pattern proportion of the pattern type is too small and can be ignored. Then, the server removes the pattern type from the pattern distribution. After removing the pattern type from the pattern distribution, the server calculates the pattern proportions of the remaining other pattern types in the new pattern distribution, i.e., updates the pattern proportions of the other pattern types in the pattern distribution. When the pattern proportion of any pattern type is greater than a second preset value, which may be 90%, it indicates that the pattern proportion of the pattern type is too large, and the pattern proportions of other pattern types are too small, so that the pattern types other than the pattern type are removed from the pattern distribution, and the pattern proportions of the pattern type are updated; or When the color proportion of any color category is less than a first preset value, which may be 10%, it indicates that the color proportion of the color category is too small and can be ignored, and the server removes the color category from the color distribution. After removing the color category from the color distribution, the server calculates the color proportions of the remaining other color categories in the new color distribution, that is, updates the configuration of the color proportions of the other color categories in the color distribution. When the pattern proportion of any color category exceeds a second preset value, which may be 90%, this indicates that the color proportion of that pattern category is too large, while the color proportions of other color categories are too small. Consequently, all color categories other than that color category are removed from the color distribution, and the color proportions of that color category are updated. This embodiment allows for the updating of the pattern proportions and color proportions of the pattern categories in the element model portion of the current first region based on actual conditions, providing a certain degree of flexibility.

[0053] Furthermore, the above-mentioned "sequentially fusing the promotional video segments based on the interaction order of the e-commerce end with the current structural elements to obtain a fused promotional video" further includes the following steps: Obtaining the video duration of each promotional video segment respectively, and determining the duration ratio of each video segment based on the video duration; Generating a current fourth area and a current fifth area in the current interaction interface, wherein the current fifth area is located below the current fourth area; Generating a video progress bar corresponding to the integrated promotional video in the current fifth area, and dividing the video progress bar into sections based on the interaction order and the duration ratio corresponding to each promotional video segment, to obtain sub-progress bars corresponding to each promotional video segment; Each sub-progress is configured based on a different color, and the integrated promotional video is filled into the current fourth area for display.

[0054] For example, in this embodiment, the server sequentially merges the promotional video segments according to the interaction order of the e-commerce end for each current structural element. After obtaining the merged promotional video, it will obtain the video time of each promotional video segment and determine the duration ratio based on each video time. For example, if the video time of one promotional video segment is 50 seconds and the video time of another promotional video segment is also 50 seconds, then the duration ratios of the two promotional video segments are 50% and 50% respectively. At this time, the server will generate the current fourth area in the current interactive interface and the current fifth area below the current fourth area. In the current fifth area, the server will generate a video progress bar corresponding to the merged promotional video, and divide the video progress bar into sections based on the interaction order and the duration ratio of each promotional video segment, obtaining sub-progress bars corresponding to each promotional video segment, and configuring each sub-progress bar based on different colors. For example, if the duration of two promotional video segments accounts for 50% and 50% respectively, the video progress bar is divided into two sub-progress bars corresponding to each promotional video segment according to the proportion of 50% and 50%, one of which is configured as red and the other as green. The fused promotional video is then filled into the current fourth area and displayed. This embodiment can divide the video progress bar corresponding to the fused promotional video into sub-progress bars corresponding to each promotional video segment, and configure them with different colors, thereby improving the identification to a certain extent and facilitating the viewing and management of the e-commerce end.

[0055] In addition, after the integrated promotion video is acquired based on the above content, the integrated promotion video can be pushed to enable users to watch it based on the user terminal they are using. In order to collect each user's evaluation information based on the user's viewing experience and improve the current e-commerce products involved in this embodiment, this embodiment can further include the following steps: In response to the integrated promotional video being played, comment information sent from different user terminals during the corresponding playback process is obtained; when it is determined that any comment information contains adjustment suggestion content involving any current structural element, the number of contents corresponding to the same adjustment suggestion content is obtained, and when the number of contents is greater than a preset number, the current structural element is adjusted based on the adjustment suggestion content.

[0056] For example, in this embodiment, after completing the playback of the integrated promotional video, the user can watch it based on the user terminal. If the user has relevant adjustment suggestions for the current e-commerce product on display, the user can send comment information containing the adjustment suggestions based on the user terminal. For example, when the current e-commerce product in the integrated promotional video is a red top, if a user thinks that it would be more appropriate to change the color of the sleeves of the top to green, then the user can send relevant comment information, thereby completing the delivery of the adjustment suggestion content; and when the number of contents corresponding to the same adjustment suggestion content of any current structural element exceeds a preset number, it indicates that there is a greater demand for color modification. At this time, the element adjustment of the corresponding adjustment suggestion content can be performed based on the current structural element; here, it can be explained that the preset number can be set by itself, for example, it can be 10.

[0057] Furthermore, based on the above content, it can be seen that the adjustment suggestion content may include color suggestion content, that is, a suggestion for modifying the color. Similarly, the adjustment suggestion content may also include pattern suggestion content, that is, a suggestion for modifying the shape of the pattern. When the adjustment suggestion content is color suggestion content, in order to consider the comprehensive aesthetics of the current e-commerce product, the rationality of the color suggestion content can be determined based on the color suggestion content to determine whether adjustment is needed. Therefore, the above-mentioned "adjusting the element of the current structural element based on the adjustment suggestion content" may also include the following steps: Determining an adjustment suggestion area and an adjustment suggestion color corresponding to the current structural element based on the adjustment suggestion content, and obtaining an area outline corresponding to the adjustment suggestion area; Retrieving a preset color exclusive table, and determining a mutually exclusive color having a mutually exclusive relationship with the adjustment suggested color based on traversing the preset color exclusive table; The model pixel points located outside the adjustment suggestion area and adjacent to the area outline are compared with the mutually exclusive color, and based on the comparison result, it is determined that the model pixel points are different from the mutually exclusive color, and the element adjustment based on the adjustment suggestion content is performed on the current structural element.

[0058] For example, in this embodiment, after completing the acquisition of the corresponding adjustment suggestion content, the adjustment suggestion area and the adjustment suggestion color corresponding to the current structural element can be obtained based on it, and the area outline corresponding to the adjustment suggestion area can be obtained at the same time. It can be explained that the adjustment suggestion area can be understood as an area where color adjustment is recommended, which can be determined based on the evaluation content sent by the user; further, by calling the preset color mutual exclusion table, and based on the traversal of the preset color mutual exclusion table, a mutually exclusive color that has a mutually exclusive relationship with the adjustment suggestion color is determined, wherein the mutually exclusive color can be understood as when the color is adjacent to the adjustment suggestion color, the corresponding overall aesthetics will be relatively low, for example, when the adjustment suggestion color is red , the corresponding mutually exclusive color can be green; after the corresponding mutually exclusive color is determined, the model pixel points outside the adjustment suggestion area and adjacent to the area outline can be obtained to perform corresponding pixel comparison on the mutually exclusive color. When it is determined that the model pixel point is the same as the mutually exclusive color, it means that even if the adjustment is completed, there may still be a relatively unsightly situation. Therefore, the other model pixel points outside the adjustment suggestion area can be adjusted to a color different from the mutually exclusive color to ensure that there is no mutually exclusive relationship between the adjusted adjustment suggestion area and the adjacent model pixel points; and when the model pixel point is different from the mutually exclusive color, the current structural element can be directly adjusted based on the adjustment suggestion content to complete the improvement of the current e-commerce product.

[0059] According to the solution of the present invention, the server will construct a current product model corresponding to the current e-commerce product and determine the current structural elements that constitute the current e-commerce product; then, the server will retrieve historical e-commerce products of the same type as the current e-commerce product and the historical interaction interfaces corresponding to the historical e-commerce products; at this time, the server will update the historical first area and the historical second area based on the current product model and the current structural elements, and obtain the current interaction interface including the current first area and the current second area after the update; then, the server responds to the e-commerce end to interact with the current structural elements to generate each promotional video segment corresponding to each current structural element, and sequentially fuses the promotional video segments based on the interaction order of the e-commerce end to interact with the current structural elements, thereby obtaining a fused promotional video. The present invention updates the current e-commerce product by calling the corresponding historical interaction interface to obtain the corresponding current interaction interface, which can greatly reduce the corresponding data processing amount and improve the corresponding work processing efficiency; in addition, each promotional video segment can be recorded according to the interaction order of the e-commerce end for each current structural element in the current interface interaction, and the promotional video segments can be integrated to obtain the integrated promotional video corresponding to the current e-commerce product, which is convenient for the subsequent display of the corresponding product through video, thereby saving a certain amount of working time, and also improving the production efficiency of the promotional video.

[0060] Another embodiment of the present invention provides an e-commerce platform data processing system based on big data. Figure 2 For its corresponding system block diagram, the system includes: a construction module configured to construct a current product model corresponding to the current e-commerce product, and determine the current structural elements constituting the current e-commerce product based on the current product model; a retrieval module configured to retrieve historical e-commerce products of the same type as the current e-commerce product and a historical interaction interface, wherein a historical first area of ​​the historical interaction interface is populated with a historical product model corresponding to the historical e-commerce product, and a historical second area is populated with various historical structural elements constituting the historical e-commerce product; a replacement module configured to update the historical first region and the historical second region based on the current product model and each current structural element, respectively, to obtain a current interaction interface including the current first region and the current second region; The fusion module is configured to generate promotional video segments corresponding to each current structural element in response to the e-commerce end's interaction with each current structural element, and to fuse the promotional video segments in sequence based on the interaction order of the e-commerce end with each current structural element to obtain a fused promotional video.

[0061] In the description provided herein, the algorithms and displays are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems may also be used in conjunction with the examples of the present invention. Based on the above description, it is apparent that the structure required for constructing such systems is well understood. In addition, the present invention is not directed to any specific programming language. It should be understood that various programming languages ​​may be utilized to implement the present invention described herein, and the description of specific languages ​​above is provided for the purpose of disclosing preferred embodiments of the present invention.

[0062] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0063] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the claims below, inventive aspects lie in less than all the features of the individual embodiments disclosed above. Accordingly, the claims that follow the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of the invention.

[0064] Those skilled in the art will appreciate that the modules, units, or components of the devices in the examples disclosed herein may be arranged in the device described in the embodiment, or alternatively may be located in one or more devices different from the devices in the examples. The modules in the foregoing examples may be combined into one module or further divided into multiple submodules.

[0065] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition may be divided into multiple submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed herein may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0066] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features included in other embodiments but not other features, combinations of features from different embodiments are intended to be within the scope of the present invention and to form different embodiments. For example, in the claims below, any of the claimed embodiments may be used in any combination.

[0067] In addition, some of the embodiments are described herein as methods or combinations of method elements that can be implemented by a processor of a computer system or by other devices that perform the functions described. Thus, a processor having the necessary instructions for implementing the method or method element forms a device for implementing the method or method element. Furthermore, the elements described herein of the device embodiments are examples of devices for implementing the functions performed by the elements for the purpose of implementing the invention.

[0068] As used herein, unless otherwise specified, the use of ordinal numbers "first," "second," "third," etc. to describe common objects merely indicates that different instances of similar objects are involved and are not intended to imply that the objects so described must have a given order in time, space, ranking, or in any other manner.

[0069] Although the present invention has been described with respect to a limited number of embodiments, it will be apparent to those skilled in the art, having benefit of the foregoing description, that other embodiments are contemplated within the scope of the invention thus described. Furthermore, it should be noted that the language used in this specification has been selected primarily for readability and didactic purposes, rather than for the purpose of explaining or limiting the subject matter of the present invention. Consequently, many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the appended claims. The disclosure of the present invention is intended to be illustrative and not restrictive of the scope of the invention, which is defined by the appended claims.

Claims

1. A data processing method for an e-commerce platform based on big data, characterized in that: The following steps are involved: Constructing a current product model corresponding to the current e-commerce product, and determining the current structural elements constituting the current e-commerce product based on the current product model; Retrieving historical e-commerce products of the same type as the current e-commerce product and a historical interaction interface, wherein the historical first area of ​​the historical interaction interface is populated with a historical product model corresponding to the historical e-commerce product, and the historical second area is populated with various historical structural elements that constitute the historical e-commerce product; The historical first region and the historical second region are updated based on the current product model and each current structural element respectively, to obtain a current interactive interface including the current first region and the current second region; In response to the e-commerce end's interaction with each current structural element, promotional video segments corresponding to each current structural element are generated respectively, and the promotional video segments are sequentially fused based on the interaction order of the e-commerce end with each current structural element to obtain a fused promotional video.

2. The data processing method for an e-commerce platform based on big data according to claim 1, characterized in that: The second historical area includes various historical element slots arranged in a line along the vertical direction, and various historical structural elements are respectively filled into different historical element slots; Update the historical second area based on various current structural elements, including: Delete the historical structural elements located in the historical element slots to obtain blank element slots; Determine the current number of elements of each current structural element and the number of slots of each blank element slot, and obtain the difference between the current number of elements and the number of slots; Based on the quantity difference, the blank element slots are increased or decreased until the number of slots is the same as the number of current elements, and each current structural element is filled into each blank element slot after the increase or decrease, to obtain each current element slot; Obtaining a vertical height of the second historical region in a vertical direction, and dividing the second historical region into equal parts based on the vertical height and the current number of elements, to obtain sub-regions arranged in a line along the vertical direction and having equal intervals; The current element slots are adjusted to be located in the sub-areas respectively, to obtain the current second area.

3. The data processing method for an e-commerce platform based on big data according to claim 2, characterized in that: The method further comprises: In response to the location modification request sent by the e-commerce terminal, generating respective regional frames surrounding each sub-region and configured based on different colors in the current second region, and sending the current interactive interface to the e-commerce terminal; In response to a first frame interaction performed by the e-commerce terminal on any regional frame, determining an element model portion in the current product model corresponding to a current structural element located in the regional frame, and configuring the element model portion based on a color identical to that of the regional frame; In response to the second frame interaction performed by the e-commerce end on the regional frame, the regional frame is moved to an interactive position in the current second region.

4. The data processing method for an e-commerce platform based on big data according to claim 1, characterized in that: Responding to the interaction of the e-commerce end with each current structural element, generating promotional video segments corresponding to each current structural element, including: In response to the video generation request sent by the e-commerce terminal, sending the current interactive interface to the e-commerce terminal; In response to an element interaction by the e-commerce terminal with any current structural element located in the current second area, determining an element model portion corresponding to the current structural element in the current product model, and hiding a portion of the current product model other than the element model portion; Based on the preset time, the current first area is recorded to obtain a promotional video segment corresponding to the element model part; in response to the e-commerce end completing the element interaction of each current structural element in turn, each promotional video segment corresponding to each current structural element is obtained.

5. The data processing method of an e-commerce platform based on big data according to claim 4, characterized in that: The video of the current first area is recorded based on a preset time to obtain a promotional video segment corresponding to the element model portion, including: Retrieving a historical introduction template corresponding to the historical e-commerce product, wherein the historical introduction template includes standard text characters and color description slots and pattern description slots interspersed between the standard text characters; Performing color recognition and pattern recognition on the element model portion located in the current first region, and determining the color distribution and pattern distribution corresponding to the element model portion; Determining a color description text and a pattern description text based on the color distribution and the pattern distribution, respectively, and filling the color description text and the pattern description text into the color description slot and the pattern description slot, respectively, to obtain a current introduction template; Generating a current third area on the current interactive interface, and filling the current introduction template into the current third area for display; In response to the start of video recording based on the current first area, audio recording is performed on the audio data output by the e-commerce terminal for a preset time, and image recording is performed on the element model part located in the current first area for a preset time to obtain a promotional video segment corresponding to the element model part.

6. The data processing method for an e-commerce platform based on big data according to claim 5, characterized in that: Performing color recognition on the element model portion located in the current first region and determining a color distribution corresponding to the element model portion includes: Obtain each model pixel point of the element model part, and determine each model pixel value corresponding to each model pixel point; Retrieving a color comparison table, wherein the color comparison table includes various color types and respective pixel value intervals corresponding to the various color types; Traversing the color comparison table, determining the color categories corresponding to all pixel value intervals containing each model pixel value, and determining the number of each pixel point of the model pixel point corresponding to each color category; Based on the number of pixels corresponding to each color type, the proportion of each color corresponding to each color type is determined; Each color category and each color proportion corresponding to each color category are determined as a color distribution corresponding to the element model portion.

7. The data processing method for an e-commerce platform based on big data according to claim 5, characterized in that: Performing pattern recognition on the element model portion located in the current first region to determine a pattern distribution corresponding to the element model portion includes: Performing pattern recognition on the element model portion located in the current first region to determine each graphic outline corresponding to the element model portion; Perform shape comparison between each pair of graphic contours, and classify image contours with the same shape into the same pattern type to obtain pattern types; Determining the number of patterns corresponding to each pattern type, and determining the proportion of each pattern corresponding to each pattern type based on the number of patterns corresponding to each pattern type; Each pattern type and each pattern proportion corresponding to each pattern type are determined as a pattern distribution corresponding to the element model portion.

8. The data processing method of an e-commerce platform based on big data according to claim 6 or 7, characterized in that: When the pattern proportion of any pattern type is less than a first preset value, the pattern type is removed from the pattern distribution, and the pattern proportions of other pattern types in the pattern distribution are updated and configured; When the pattern proportion of any pattern type is greater than a second preset value, other pattern types except the pattern type are removed from the pattern distribution, and the pattern proportion of the pattern type is updated; or When the color proportion of any color category is less than a first preset value, the color category is removed from the color distribution, and the color proportions of other color categories in the color distribution are updated and configured; When the color proportion of any color category is greater than a second preset value, the other color categories except the color category are removed from the color distribution, and the color proportion of the color category is updated.

9. The data processing method of an e-commerce platform based on big data according to claim 1, characterized in that: Based on the interaction order of the e-commerce end on each current structural element, the promotion video segments are sequentially merged to obtain a merged promotion video, and then the following steps are further included: Obtaining the video duration of each promotional video segment respectively, and determining the duration ratio of each video segment based on the video duration; Generating a current fourth area and a current fifth area in the current interaction interface, wherein the current fifth area is located below the current fourth area; Generating a video progress bar corresponding to the integrated promotional video in the current fifth area, and dividing the video progress bar into sections based on the interaction order and the duration ratio corresponding to each promotional video segment, to obtain sub-progress bars corresponding to each promotional video segment; Each sub-progress is configured based on a different color, and the integrated promotional video is filled into the current fourth area for display.

10. The data processing method of an e-commerce platform based on big data according to claim 1, characterized in that: The method further comprises: In response to the integrated promotional video being played, comment information sent from different user terminals during the corresponding playback process is obtained; when it is determined that any comment information contains adjustment suggestion content involving any current structural element, the number of contents corresponding to the same adjustment suggestion content is obtained, and when the number of contents is greater than a preset number, the current structural element is adjusted based on the adjustment suggestion content.

11. The data processing method for an e-commerce platform based on big data according to claim 10, characterized in that: The adjustment suggestion content is color suggestion content; Performing element adjustment on the current structural element based on the adjustment suggestion content includes: Determining an adjustment suggestion area and an adjustment suggestion color corresponding to the current structural element based on the adjustment suggestion content, and obtaining an area outline corresponding to the adjustment suggestion area; Retrieving a preset color exclusive table, and determining a mutually exclusive color having a mutually exclusive relationship with the adjustment suggested color based on traversing the preset color exclusive table; The model pixel points located outside the adjustment suggestion area and adjacent to the area outline are compared with the mutually exclusive color, and based on the comparison result, it is determined that the model pixel points are different from the mutually exclusive color, and the element adjustment based on the adjustment suggestion content is performed on the current structural element.

12. A data processing system for an e-commerce platform based on big data, characterized in that: include: a construction module configured to construct a current product model corresponding to the current e-commerce product, and determine the current structural elements constituting the current e-commerce product based on the current product model; a retrieval module configured to retrieve historical e-commerce products of the same type as the current e-commerce product and a historical interaction interface, wherein a historical first area of ​​the historical interaction interface is populated with a historical product model corresponding to the historical e-commerce product, and a historical second area is populated with various historical structural elements constituting the historical e-commerce product; a replacement module configured to update the historical first region and the historical second region based on the current product model and each current structural element, respectively, to obtain a current interaction interface including the current first region and the current second region; The fusion module is configured to generate promotional video segments corresponding to each current structural element in response to the e-commerce end's interaction with each current structural element, and to fuse the promotional video segments in sequence based on the interaction order of the e-commerce end with each current structural element to obtain a fused promotional video.

Images