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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 5 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...
SDMW
2004
Springer
15 years 3 months ago
PeerTrust: Automated Trust Negotiation for Peers on the Semantic Web
Abstract. Researchers have recently begun to develop and investigate policy languages to describe trust and security requirements on the Semantic Web. Such policies will be one com...
Wolfgang Nejdl, Daniel Olmedilla, Marianne Winslet...
JUCS
2008
132views more  JUCS 2008»
14 years 9 months ago
Searching ... in a Web
: Search engines--"web dragons"--are the portals through which we access society's treasure trove of information. They do not publish the algorithms they use to sort...
Ian H. Witten
AI
2005
Springer
14 years 10 months ago
Unsupervised named-entity extraction from the Web: An experimental study
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an unsupervised, doma...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...
CSEE
2007
Springer
15 years 4 months ago
Creating Meaningful Assessments for Professional Development Education in Software Architecture
Extensive instructional materials have been developed and used for courses in specific software architecture topics offered at the Software Engineering Institute (SEI) at Carnegie...
Elspeth Golden, Len Bass