Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce
Knowing if a user is a buyer vs window shopper solely based on clickstream data is of crucial importance for ecommerce platforms seeking to implement real-time accurate NBA (next best action) policies. However, due to the low frequency of conversion events and the noisiness of browsing data, classifying user sessions is very challenging. In this paper, we address the clickstream classification pro
Searching for Apparel Products from Images in the Wild
In this age of social media, people often look at what others are wearing. In particular, Instagram and Twitter influencers often provide images of themselves wearing different outfits and their followers are often inspired to buy similar clothes.We propose a system to automatically find the closest visually similar clothes in the online Catalog (street-to-shop searching). The problem is challengi
Predicting Next-Season Designs on High Fashion Runway
Fashion is a large and fast-changing industry. Foreseeing the upcoming fashion trends is beneficial for fashion designers, consumers, and retailers. However, fashion trends are often perceived as unpredictable due to the enormous amount of factors involved into designers' subjectivity. In this paper, we propose a fashion trend prediction framework and design neural network models to leverage struc
Amazon Has Developed an AI Fashion Designer
The retail giant is taking a characteristically algorithmic approach to fashion. Amazon isn’t synonymous with high fashion yet, but the company may be poised to lead the way when it comes to replacing stylists and designers with ever-so-chic AI algorithms. Researchers at the e-commerce juggernaut are currently working on several machine-learning systems that could help provide an edge when it come
ファッション業界に衝撃、 アマゾンがAIデザイナーを 開発中
Amazon Has Developed an AI Fashion Designer ファッション業界に衝撃、 アマゾンがAIデザイナーを 開発中 アマゾンがファッション分野に力を入れている。最新のトレンドを取り入れたレコメンデーションに加え、トレンドから新たな商品をデザインするAIも開発中だ。 by Will Knight2017.08.28 442 165 9 0 アマゾンは最先端のファッションを提供するにはまだまだ力不足だ。だが、スタイリストやデザイナーを常に垢抜けた人工知能（AI）アルゴリズムに置き換えることができれば、最先端のファッションをリードする存在になるかもしれない。 電子商取引界の巨人であるアマゾンの研究者は現在、最新のファッション・トレンドを見つけ出して反応し、そしておそらくそれを形にすることさえできる機械学習システムの開発に取り組んでいる。これによってアマゾンは、た
KDD2017 | Machine learning meets fashion
Data, algorithms and analytics for the fashion industry 14 August 2017, Halifax, Nova Scotia - Canada Background Fashion is a multi-billion-dollar industry with social and economic implications worldwide. The fashion industry has traditionally placed high value on human creativity and has been slower to realize the potential of data analytics. With the advent of modern cognitive computing technolo
KDD2016 | Machine learning meets fashion
Data, algorithms and analytics for the fashion industry Background Fashion is a multi-billion dollar industry with social and economic implications worldwide. The fashion industry has traditionally placed high value on human creativity and has been slower to realize the potential of data analytics. With the advent of modern cognitive computing technologies (data mining and knowledge discovery, mac
Visual Search at Pinterest
We demonstrate that, with the availability of distributed computation platforms such as Amazon Web Services and open-source tools, it is possible for a small engineering team to build, launch and maintain a cost-effective, large-scale visual search system with widely available tools. We also demonstrate, through a comprehensive set of live experiments at Pinterest, that content recommendation powe
Discover opportunities at Pinterest
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal,
Large Scale Visual Recommendations From Street Fashion Images
We describe a completely automated large scale visual recommendation system for fashion. Our focus is to efficiently harness the availability of large quantities of online fashion images and their rich meta-data. Specifically, we propose four data driven models in the form of Complementary Nearest Neighbor Consensus, Gaussian Mixture Models, Texture Agnostic Retrieval and Markov Chain LDA for solv
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Videolectures
(PDF) Beyond Clothing Ontologies: Modeling Fashion with Subjective Influence Networks
KDD 2020 | AI for fashion supply chain
Fashion Retail: Forecasting Demand for New Items
KDD 2019 | AI for fashion
Detection of fashion trends and seasonal cycles using client feedback
Seasonal Trends at Stitch Fix | Stitch Fix Technology – Multithreaded
Publications | Research