As living standards improve, modern products need to meet increasingly diversified and
personalized user requirements. Traditional product design methods fall short due to their …

A current research question in the area of entity resolution (also called link discovery or
duplicate detection) is whether and in which cases embeddings and deep neural network …

Zero-shot image retrieval involves retrieving images of unseen classes using a query image
of the same class. To determine whether a given image is of the same class as the query …

Product matching, ie, being able to infer the product being sold for a merchant-created offer,
is crucial for any e-commerce marketplace, enabling product-based navigation, price …

Matching a seller listed item to an appropriate product has become a fundamental and one
of the most significant step for e-commerce platforms for product based experience. It has a …

The purpose of this study was to define a data science architecture for talent acquisition. The
approach was to propose analytics that derive data. The originality of this paper consists in …

Market intelligence, which collects and analyzes market trends and competitive landscape,
is crucial for business success in the market. In particular, defining market scope is important …

Entity Resolution has been applied successfully to match product offers from different web
shops. Unfortunately, in certain domains the (textual or numerical) attributes of a product are …

The title (name) is the primary information related to a mobile (smartphone) application, as it
describes its functions and services. An eye-catching title can entice customers to choose a …

As a key component of e-commerce computing, product representation learning (PRL)
provides benefits for a variety of applications, including product matching, search, and …