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CAI
2006
Springer
13 years 7 months ago
Symbolic Explanation of Similarities in Case-based Reasoning
CBR systems solve problems by assessing their similarity with already solved problems (cases). Explanation of a CBR system prediction usually consists of showing the user the set o...
Eva Armengol, Enric Plaza
ECIS
2011
12 years 7 months ago
Adaptive persuasive messages in an e-commerce setting: the use of persuasion profiles
Technologies that are intentionally designed to change a person’s attitude or behaviors are emergent. Designers of these technologies frequently use implementations of influence...
Maurits Kaptein
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
13 years 6 months ago
Using data mining techniques to address critical information exchange needs in disaster affected public-private networks
Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities. A critical problem in a crisis situation is how t...
Li Zheng, Chao Shen, Liang Tang, Tao Li, Steven Lu...
CIKM
2007
Springer
13 years 11 months ago
Web search personalization with ontological user profiles
Every user has a distinct background and a specific goal when searching for information on the Web. The goal of Web search personalization is to tailor search results to a particu...
Ahu Sieg, Bamshad Mobasher, Robin D. Burke
SIGIR
2009
ACM
14 years 2 months ago
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Reciprocal Rank Fusion (RRF), a simple method for combining the document rankings from multiple IR systems, consistently yields better results than any individual system, and bett...
Gordon V. Cormack, Charles L. A. Clarke, Stefan B&...