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CIKM
2011
Springer
12 years 7 months ago
A probabilistic method for inferring preferences from clicks
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
HT
2010
ACM
14 years 17 days ago
Community-based ranking of the social web
The rise of social interactions on the Web requires developing new methods of information organization and discovery. To that end, we propose a generative community-based probabil...
Said Kashoob, James Caverlee, Krishna Kamath
PKDD
2004
Springer
205views Data Mining» more  PKDD 2004»
14 years 25 days ago
Breaking Through the Syntax Barrier: Searching with Entities and Relations
The next wave in search technology will be driven by the identification, extraction, and exploitation of real-world entities represented in unstructured textual sources. Search sy...
Soumen Chakrabarti
CSCW
2006
ACM
14 years 1 months ago
FeedMe: a collaborative alert filtering system
As the number of alerts generated by collaborative applications grows, users receive more unwanted alerts. FeedMe is a general alert management system based on XML feed protocols ...
Shilad Sen, Werner Geyer, Michael J. Muller, Marty...
WWW
2007
ACM
14 years 8 months ago
Determining the user intent of web search engine queries
Determining the user intent of Web searches is a difficult problem due to the sparse data available concerning the searcher. In this paper, we examine a method to determine the us...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink