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CAI
2006
Springer
14 years 9 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
77
Voted
ECIS
2011
13 years 9 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»
14 years 8 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
15 years 1 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
64
Voted
SIGIR
2009
ACM
15 years 4 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&...