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ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
15 years 8 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
BMCBI
2007
95views more  BMCBI 2007»
15 years 4 months ago
Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices
Background: Protein-protein interactions are critical for cellular functions. Recently developed computational approaches for predicting protein-protein interactions utilize co-ev...
Roger A. Craig, Li Liao
BMCBI
2010
102views more  BMCBI 2010»
14 years 11 months ago
Predicting protein-protein interactions in unbalanced data using the primary structure of proteins
Background: Elucidating protein-protein interactions (PPIs) is essential to constructing protein interaction networks and facilitating our understanding of the general principles ...
Chi-Yuan Yu, Lih-Ching Chou, Darby Tien-Hao Chang
SIGMOD
2012
ACM
210views Database» more  SIGMOD 2012»
13 years 7 months ago
Interactive regret minimization
We study the notion of regret ratio proposed in [19] to deal with multi-criteria decision making in database systems. The regret minimization query proposed in [19] was shown to h...
Danupon Nanongkai, Ashwin Lall, Atish Das Sarma, K...
CIKM
2009
Springer
15 years 11 months ago
Mining linguistic cues for query expansion: applications to drug interaction search
Given a drug under development, what are other drugs or biochemical compounds that it might interact with? Early answers to this question, by mining the literature, are valuable f...
Sheng Guo, Naren Ramakrishnan