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SBBD
2004
82views Database» more  SBBD 2004»
13 years 8 months ago
Optimizing Ranking Calculation in Web Search Engines: a Case Study
Web search engines compete to offer the fastest responses with highest relevance. However, as Web collections grow, it becomes more difficult to achieve this purpose. As most user...
Miguel Costa, Mário J. Silva
CIKM
2005
Springer
14 years 29 days 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
WEBI
2010
Springer
13 years 5 months ago
Lightweight Clustering Methods for Webspam Demotion
Abstract--To make sure they can quickly respond to a specific query, the main search engines have several mechanisms. One of them consists in ranking web pages according to their i...
Thomas Largillier, Sylvain Peyronnet
AIRWEB
2009
Springer
14 years 2 months ago
Looking into the past to better classify web spam
Web spamming techniques aim to achieve undeserved rankings in search results. Research has been widely conducted on identifying such spam and neutralizing its influence. However,...
Na Dai, Brian D. Davison, Xiaoguang Qi
WSDM
2009
ACM
172views Data Mining» more  WSDM 2009»
14 years 2 months ago
Clustering the tagged web
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
Daniel Ramage, Paul Heymann, Christopher D. Mannin...