Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

Our world is being revolutionized by data-driven methods: access to large amounts of data
has generated new insights and opened exciting new opportunities in commerce, science …

Web search engines have stored in their logs information about users since they started to
operate. This information often serves many purposes. The primary focus of this survey is on …

In recent years, there is an ever-increasing research focus on Bag-of-Words based near
duplicate visual search paradigm with inverted indexing. One fundamental yet unexploited …

Two principal query-evaluation methodologies have been described for cluster-based
implementation of distributed information retrieval systems: document partitioning and term …

In the ocean of Web data, Web search engines are the primary way to access content. As the
data is on the order of petabytes, current search engines are very large centralized systems …

Systems performing large data-parallel computations, including online analytical processing
(OLAP) systems like Druid and search engines like Elasticsearch, are increasingly being …

We investigate a simple but overlooked folklore approach for searching encrypted
documents held at an untrusted service: Just stash an index (with unstructured encryption) at …

In a shared-nothing, distributed text retrieval system, queries are processed over an inverted
index that is partitioned among a number of index servers. In practice, the index is either …

Web search engines are often implemented as centralized systems. Designing and
implementing a Web search engine in a distributed environment is a challenging …