Research Article

Research on Intelligent Customization of Cross-Border E-Commerce Based on Deep Learning

Table 1

Cross-border e-commerce dress sales dataset attributes.

Attribute classificationAttribute codeAttribute nameAttribute value

Tag attributesX1Dress_IDā€‰
X2Style1-Bohemian, 2-brief, 3-casual, 4-cute, 5-fashion, 6-flare, 7-novelty, 8-OL party, 9-sexy, 10-vintage, and 11-work
X3Price1-low, 2-average, 3-medium, 4-high, and 5-very high
X4Rating1, 2, 3, 4, and 5
X5Size1-small, 2-S, 3-M, 4-L, 5-XL, and 6-free
X6Season1-autumn, 2-winter, 3-spring, and 4-summer
X7NeckLine1-O neck, 2-backless, 3-boat neck, 4-bowneck, 5-halter, 6-mandarin collar, 7-open, 8-peterpan collar, 9-ruffled, 10-scoop, 11-slash neck, 12-square collar, 13-sweetheart, 14-turndown collar, and 15-V neck
X8SleeveLength1-full, 2-half sleeve, 3-butterfly, 4-sleveless, 5-short, 6-three quarter, 7-turndown, and 8-cap sleeves
X9Waistline1-dropped, 2-empire, 3-natural, 4-princess, and 5-null
X10Material1-cotton, 2-wool, 3-microfiber, 4-polyester, 5-silk, 6-chiffon fabric, 7-nylon, 8-linen, 9-rayon, 10-lycra, 11-milk silk, 12-acrylic, 13-spandex, 14-mix, 15-cashmere, 16-knitting, 17-chiffon, 18-viscos, 19-lace, 20-modal, and 21-other
X11FabricType1-chiffon, 2-broadcloth, 3-Jersey, 4-batik, 5-worsted, 6-woolen, 7-satin, 8-flannel, 9-poplin, 10-dobby, 11-knitting, 12-flannel, 13-tulle, 14-satin, 15-organza, 16-lace, 17-corduroy, 18-terry, and 19-none
X12Decoration1-ruffles, 2-embroidery, 3-bow, 4-lace, 5-beading, 6-sashes, 7-hollow out, 8-pockets, 9-sequined, 10-applique, 11-button, 12-tiered, 13-rivet, 14-feathers, 15-flowers, 16-pearls, 17-pleat, 18-crystal, 19-ruched, 20-draped, 21-tassel, 22-plain, 23-cascading, and 24-none
X13PatternType1-animal, 2-print, 3-dot, 4-solid, 5-patchwork, 6-striped, 7-geometric, 8-plaid, 9-leopard, 10-floral, 11-character, 12-splice, 13-leopard, and 14-none

Characteristic attributesYRecommendation0, 1