Clickstream data is an important source to enhance user experience and pursue business
objectives in e-commerce. The paper uses clickstream data to predict online shopping …

We introduce a hierarchical Bayesian approach to tackle the challenging problem of size
recommendation in e-commerce fashion. Our approach jointly models a size purchased by a …

Finding clothes that fit is a hot topic in the e-commerce fashion industry. Most approaches
addressing this problem are based on statistical methods relying on historical data of articles …

We propose Cognitive Databases, an approach for transparently enabling Artificial
Intelligence (AI) capabilities in relational databases. A novel aspect of our design is to first …

Online shopping caters to the needs of millions of users daily. Search, recommendations,
personalization have become essential building blocks for serving customer needs. Efficacy …

Nowadays, recommendation systems are getting more attention from both academia and
industry. However, most industrial recommendation systems are still using non-embedding …

Finding clothes that fit has increasingly become a hot topic in the e-commerce fashion
industry. Mainly due to causing frustration on the customers side, and the large ecological …

METHOD AND SYSTEM FOR application). A search interface may allow a user of the
RECOMMENDING DOMAIN-SPECIFIC software application to perform a keyword search on …

Online shopping provides great convenience to customers, however, it also brings problems
such as size fitting due to no immediately try-out. Without trying out, deciding the size of the …

Во многих задачах, решаемых в Яндекс. Такси с помощью машинного обучения, будь
это обыкновенная сегментация пользователей, предсказание числа поездок в …