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WWW
2002
ACM
16 years 4 months ago
Expert agreement and content based reranking in a meta search environment using Mearf
Recent increase in the number of search engines on the Web and the availability of meta search engines that can query multiple search engines makes it important to find effective ...
B. Uygar Oztekin, George Karypis, Vipin Kumar
SIGIR
2006
ACM
15 years 9 months ago
Is XML retrieval meaningful to users?: searcher preferences for full documents vs. elements
The aim of this study is to investigate whether element retrieval (as opposed to full-text retrieval) is meaningful and useful for searchers when carrying out information-seeking ...
Birger Larsen, Anastasios Tombros, Saadia Malik
CHI
2011
ACM
14 years 6 months ago
Competing online viewpoints and models of chronic illness
People with chronic health problems use online resources to understand and manage their condition, but many such resources can present competing and confusing viewpoints. We surve...
Jennifer Mankoff, Kateryna Kuksenok, Sara B. Kiesl...
153
Voted
WWW
2008
ACM
16 years 4 months ago
Information retrieval and knowledge discovery on the semantic web of traditional chinese medicine
We conduct the first systematical adoption of the Semantic Web solution in the integration, management, and utilization of TCM information and knowledge resources. As the results,...
Zhaohui Wu, Tong Yu, Huajun Chen, Xiaohong Jiang, ...
SIGIR
2009
ACM
15 years 9 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen