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» Link Based Clustering of Web Search Results
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CIKM
2011
Springer
13 years 11 months ago
Personalizing web search results by reading level
Traditionally, search engines have ignored the reading difficulty of documents and the reading proficiency of users in computing a document ranking. This is one reason why Web se...
Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. W...
BMCBI
2007
134views more  BMCBI 2007»
14 years 12 months ago
PLAN: a web platform for automating high-throughput BLAST searches and for managing and mining results
Background: BLAST searches are widely used for sequence alignment. The search results are commonly adopted for various functional and comparative genomics tasks such as annotating...
Ji He, Xinbin Dai, Xuechun Zhao
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
16 years 4 days ago
Mining templates from search result records of search engines
Metasearch engine, Comparison-shopping and Deep Web crawling applications need to extract search result records enwrapped in result pages returned from search engines in response ...
Hongkun Zhao, Weiyi Meng, Clement T. Yu
CIKM
2005
Springer
15 years 5 months ago
Biasing web search results for topic familiarity
Depending on a web searcher’s familiarity with a query’s target topic, it may be more appropriate to show her introductory or advanced documents. The TREC HARD [1] track defi...
Giridhar Kumaran, Rosie Jones, Omid Madani
WAW
2009
Springer
187views Algorithms» more  WAW 2009»
15 years 6 months ago
Cluster Based Personalized Search
We study personalized web ranking algorithms based on the existence of document clusterings. Motivated by the topic sensitive page ranking of Haveliwala [19], we develop and imple...
Hyun Chul Lee, Allan Borodin