SearchResultFinder

Trieschnigg, Dolf; Tjin-Kam-Jet, Kien; Hiemstra, Djoerd

doi:10.1145/2484028.2484198

Cited by 5 publications

(1 citation statement)

References 7 publications

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“…The selection was made from search engines that are accessible through the OpenSearch 1 interface. To also include the major search engines that were not accessible through OpenSearch, an additional tool was used to scrape results [17]. A manual categorization of the resources is provided in Table 1.…”

Section: Resourcesmentioning

confidence: 99%

Federated search in the wild

Nguyen

Demeester

Trieschnigg

et al. 2012

Proceedings of the 21st ACM International Conference on Information and Knowledge Management

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Federated search has the potential of improving web search: the user becomes less dependent on a single search provider and parts of the deep web become available through a unified interface, leading to a wider variety in the retrieved search results. However, a publicly available dataset for federated search reflecting an actual web environment has been absent. As a result, it has been difficult to assess whether proposed systems are suitable for the web setting. We introduce a new test collection containing the results from more than a hundred actual search engines, ranging from large general web search engines such as Google and Bing to small domain-specific engines. We discuss the design and analyze the effect of several sampling methods. For a set of test queries, we collected relevance judgements for the top 10 results of each search engine. The dataset is publicly available and is useful for researchers interested in resource selection for web search collections, result merging and size estimation of uncooperative resources.

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Section: Resourcesmentioning

confidence: 99%