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» Term Ranking for Clustering Web Search Results
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BMCBI
2006
184views more  BMCBI 2006»
15 years 6 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
15 years 1 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»
15 years 10 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
15 years 11 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
16 years 1 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...