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» Relevance Evaluation of Search Engines' Query Results
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SIGIR
1999
ACM
15 years 10 months ago
SCAN: Designing and Evaluating User Interfaces to Support Retrieval From Speech Archives
Previous examinations of search in textual archives have assumed that users first retrieve a ranked set of documents relevant to their query, and then visually scan through these ...
Steve Whittaker, Julia Hirschberg, John Choi, Dona...
WWW
2008
ACM
16 years 7 months ago
Sailer: an effective search engine for unified retrieval of heterogeneous xml and web documents
This paper studies the problem of unified ranked retrieval of heterogeneous XML documents and Web data. We propose an effective search engine called Sailer to adaptively and versa...
Guoliang Li, Jianhua Feng, Jianyong Wang, Xiaoming...
ICLP
2007
Springer
15 years 10 months ago
OnEQL: An Ontology Efficient Query Language Engine for the Semantic Web
Abstract. In this paper we describe the OnEQL system, a query engine that implements optimization techniques and evaluation strategies to speed up the evaluation time of querying a...
Edna Ruckhaus, Maria-Esther Vidal, Eduardo Ruiz
WWW
2007
ACM
16 years 7 months ago
Identifying ambiguous queries in web search
It is widely believed that some queries submitted to search engines are by nature ambiguous (e.g., java, apple). However, few studies have investigated the questions of "how ...
Ruihua Song, Zhenxiao Luo, Ji-Rong Wen, Yong Yu, H...
SIGIR
2008
ACM
15 years 6 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella