Conventional search engines, such as Bing, Baidu, and Google, offer a convenient way for
users to seek information on the web. However, with all the benefits they provide, one major …

Federated search (federated information retrieval or distributed information retrieval) is a
technique for searching multiple text collections simultaneously. Queries are submitted to a …

The traditional search solution for large collections divides the collection into subsets
(shards), and processes the query against all shards in parallel (exhaustive search). The …

The growing accessibility of mobile devices has substantially reformed the way users access
information. While the reactive search by query remains as common as before, recent years …

Search engines can improve their efficiency by selecting only few promising shards for each
query. State-of-the-art shard selection algorithms first query a central index of sampled …

Indexes for large collections are often divided into shards that are distributed across multiple
computers and searched in parallel to provide rapid interactive search. Typically, all index …

Vertical selection is the task of predicting relevant verticals for a Web query so as to enrich
the Web search results with complementary vertical results. We investigate a novel variant of …

The goal of aggregated search is to provide integrated search across multiple
heterogeneous search services in a unified interface—a single query box and a common …

With the recent growth of conversational systems and intelligent assistants such as Apple
Siri and Google Assistant, mobile devices are becoming even more pervasive in our lives …

Large document collections can be partitioned into'topical shards' to facilitate distributed
search. In a low-resource search environment only a few of the shards can be searched in …