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 …

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 …

Web search providers often include search services for domain-specific subcollections,
called verticals, such as news, images, videos, job postings, company summaries, and artist …

Queries submitted to a retrieval system are often ambiguous. In such a situation, a sensible
strategy is to diversify the ranking of results to be retrieved, in the hope that users will find at …

Continuous growth of the Web and user bases forces web search engine companies to
make costly investments on very large compute infrastructures. The scalability of these …

We explore several different document representation models and two query expansion
models for the task of recommending blogs to a user in response to a query. Blog relevance …

Collection selection is one of the key problems in distributed information retrieval. Due to
resource constraints it is not usually feasible to search all collections in response to a query …

Over the last years the Web of Data has developed into a large compendium of interlinked
data sets from multiple domains. Due to the decentralised architecture of this compendium …

Federated search systems aggregate results from multiple search engines, selecting
appropriate sources to enhance result quality and align with user intent. With the increasing …