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» Term Ranking for Clustering Web Search Results
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BMCBI
2006
184views more  BMCBI 2006»
13 years 9 months ago
PubFocus: semantic MEDLINE/PubMed citations analytics through integration of controlled biomedical dictionaries and ranking algo
Background: Understanding research activity within any given biomedical field is important. Search outputs generated by MEDLINE/PubMed are not well classified and require lengthy ...
Maksim V. Plikus, Zina Zhang, Cheng-Ming Chuong
WWW
2011
ACM
13 years 3 months ago
Addressing people's information needs directly in a web search result page
Web search engines have historically focused on connecting people with information resources. For example, if a person wanted to know when their flight to Hyderabad was leaving, a...
Lydia B. Chilton, Jaime Teevan
KDD
1998
ACM
80views Data Mining» more  KDD 1998»
14 years 1 months ago
Human Performance on Clustering Web Pages: A Preliminary Study
With the increase in information on the World Wide Web it has become difficult to quickly find desired information without using multiple queries or using a topic-specific search ...
Sofus A. Macskassy, Arunava Banerjee, Brian D. Dav...
WISE
2005
Springer
14 years 2 months ago
Evaluation of Result Merging Strategies for Metasearch Engines
Result merging is a key component in a metasearch engine. Once the results from various search engines are collected, the metasearch system merges them into a single ranked list. T...
Yiyao Lu, Weiyi Meng, Liangcai Shu, Clement T. Yu,...
WWW
2010
ACM
14 years 3 months ago
New-web search with microblog annotations
Web search engines discover indexable documents by recursively ‘crawling’ from a seed URL. Their rankings take into account link popularity. While this works well, it introduc...
Tom Rowlands, David Hawking, Ramesh Sankaranarayan...