Federated search techniques: an overview of the trends and state of the art
A Garba, S Wu, S Khalid - Knowledge and Information Systems, 2023 - Springer
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 …
users to seek information on the web. However, with all the benefits they provide, one major …
Feb4rag: Evaluating federated search in the context of retrieval augmented generation
Federated search systems aggregate results from multiple search engines, selecting
appropriate sources to enhance result quality and align with user intent. With the increasing …
appropriate sources to enhance result quality and align with user intent. With the increasing …
Federated search
Federated search (federated information retrieval or distributed information retrieval) is a
technique for searching multiple text collections simultaneously. Queries are submitted to a …
technique for searching multiple text collections simultaneously. Queries are submitted to a …
Mining query logs: Turning search usage data into knowledge
F Silvestri - Foundations and Trends® in Information …, 2009 - nowpublishers.com
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 …
operate. This information often serves many purposes. The primary focus of this survey is on …
Sources of evidence for vertical selection
Web search providers often include search services for domain-specific subcollections,
called verticals, such as news, images, videos, job postings, company summaries, and artist …
called verticals, such as news, images, videos, job postings, company summaries, and artist …
Scalability challenges in web search engines
BB Cambazoglu, R Baeza-Yates - Advanced topics in information retrieval, 2011 - Springer
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 …
make costly investments on very large compute infrastructures. The scalability of these …
Explicit search result diversification through sub-queries
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 …
strategy is to diversify the ranking of results to be retrieved, in the hope that users will find at …
Daw: Duplicate-aware federated query processing over the web of data
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 …
data sets from multiple domains. Due to the decentralised architecture of this compendium …
Central-rank-based collection selection in uncooperative distributed information retrieval
M Shokouhi - European conference on information retrieval, 2007 - Springer
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 …
resource constraints it is not usually feasible to search all collections in response to a query …
Document representation and query expansion models for blog recommendation
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 …
models for the task of recommending blogs to a user in response to a query. Blog relevance …