Relational DBMSs remain the main data management technology, despite the big data
analytics and no-SQL waves. On the other hand, for data analytics in a broad sense, there …

In recent years, neural networks have shown impressive performance gains on long-
standing AI problems, and in particular, answering queries from natural language text …

As many recent applications require integration of structured data and text data, unifying
database (DB) and information retrieval (IR) technologies has become one of major …

There has been a lot of research on MapReduce for big data analytics. This new class of
systems sacrifices DBMS functionality such as query languages, schemas, or indexes in …

This chapter traces an origin story of Naver's research and engineering, by periodizing a
research career shift of Joon Ho Lee from 1996 to 2005. After earning his Ph. D. in computer …

This project involved the development and implementation of a Machine Learning pipeline
to track product ranking performance metrics at FARFETCH, a leading platform in the luxury …

The relational DBMS (RDBMS) has been widely used since it supports various high-level
functionalities such as SQL, schemas, indexes, and transactions that do not exist in the O/S …

We propose two-dimensional indexing—a novel in-memory indexing architecture that
operates over distributed memory of a massively-parallel search engine. The goal of two …