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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
14 years 1 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
WWW
2001
ACM
16 years 7 months ago
Crawling the Hidden Web
Current-day crawlers retrieve content only from the publicly indexable Web, i.e., the set of Web pages reachable purely by following hypertext links, ignoring search forms and pag...
Sriram Raghavan, Hector Garcia-Molina
SIGIR
2010
ACM
15 years 10 months ago
The good, the bad, and the random: an eye-tracking study of ad quality in web search
We investigate how people interact with Web search engine result pages using eye-tracking. While previous research has focused on the visual attention devoted to the 10 organic se...
Georg Buscher, Susan T. Dumais, Edward Cutrell
WWW
2010
ACM
16 years 1 months ago
Visualizing differences in web search algorithms using the expected weighted hoeffding distance
We introduce a new dissimilarity function for ranked lists, the expected weighted Hoeffding distance, that has several advantages over current dissimilarity measures for ranked s...
Mingxuan Sun, Guy Lebanon, Kevyn Collins-Thompson
AAAI
2010
15 years 7 months ago
Towards an Intelligent Code Search Engine
Software developers increasingly rely on information from the Web, such as documents or code examples on Application Programming Interfaces (APIs), to facilitate their development...
Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun...