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Complete the Look: Scene-based Complementary Product Recommendation Wang-Cheng Kang†⇤, Eric Kim‡, Jure Leskovec‡§, Charles Rosenberg‡, Julian McAuley† ‡Pinterest, §Stanford University, †UC San Diego {wckang,jmcauley}@ucsd.edu, {erickim,jure,crosenberg}@pinterest.com Abstract Modeling fashion compatibility is challenging due to its
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For online shoppers, complete the look: Enhances the online shopping experience of your store; Builds trust and positions you as the fashion or design expert—your visitors will value your expert styling advice; Helps shoppers to visualize the product and how it might look with other branded items. While the most sophisticated ecommerce.
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Intelistyle's A.I. and Visual Search technology allows you to automatically recreate all your editorial photography as shop the look outfit recommendations on every product page. 2. Improve Product Discovery. Editorial shop the look recommendations facilitate product discovery and turn all your product pages into a mini shop within the shop.
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In this work, we propose a new task called `Complete the Look', which seeks to recommend visually compatible products based on scene images. We design an approach to extract training data for this task, and propose a novel way to learn the scene-product compatibility from fashion or interior design images. Our approach measures compatibility.
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How can we recommend complementary products to customers based on the scene they are in? This paper proposes a novel method that leverages visual and textual features to model fashion compatibility and generate personalized suggestions. Read the full paper to learn more about the complete the look problem and the proposed solution.
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"Complete the look" recommendations resembles an experienced and well-trained seller in a high-end physical store, who would recommend additional items to style each full space. "Complete the look" helps customers visualize how they can combine each item with additional purchases, or even with their own current furniture..
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The Pinterest Complete the Look dataset consists of over 1 million outfits and 4 million objects. It can be used to predict style compatibility between fashion items in order to recommend complementary items that complete an outfit.
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Complete the Look takes context like an outfit, body type, season, indoors vs. outdoors, various pieces of furniture, and the overall aesthetics of a room, to power taste-based recommendations.
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Go to a product where you'd like to add your 'Complete the Look' section. In the WooCommerce Product Data section, click on the WooCommerce Product Add Ons Ultimate tab. Click Add Group to create a new group of extra fields. You can give the group a title and description if you like. Click Add Field to create your first field.
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Shop complete the look for brands that wow at prices that thrill. Free Shipping on $89+ orders online, easy, in store returns. New surprises everyday!
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Vintage Charm Curated Collection. Lush Decor takes the time and guesswork out of achieving a decorator-inspired, just-right look for the home with Complete the Look - a one-stop shopping, curated concept. Complete the Look leverages Lush Decor's vast and versatile product line to recommend visually compatible designs for a pulled-together look.
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Complete The Look Intelistyle
"Complete the Look" is a style-focused concept where the goal is to help users put together an entire outfit, instead of just picking out a single piece of clothing. This can be a challenging.
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Complete the Look: Scene-based Complementary Product Recommendation. Modeling fashion compatibility is challenging due to its complexity and subjectivity. Existing work focuses on predicting compatibility between product images (e.g. an image containing a t-shirt and an image containing a pair of jeans).
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In a highly competitive ecommerce market "complete the look recommendations" feature can make fashion e-shops stand out. According to a recent study by Statista, worldwide retail ecommerce sales will reach a new high by the end of 2021 and will account for 17.5% of the total global retail sales.. This means that all ecommerce businesses will have to find new, innovative ways to establish.
