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SIGMOD
2010
ACM
189views Database» more  SIGMOD 2010»
13 years 9 months ago
Recsplorer: recommendation algorithms based on precedence mining
We study recommendations in applications where there are temporal patterns in the way items are consumed or watched. For example, a student who has taken the Advanced Algorithms c...
Aditya G. Parameswaran, Georgia Koutrika, Benjamin...
DIS
2008
Springer
13 years 6 months ago
Constructing Iceberg Lattices from Frequent Closures Using Generators
Frequent closures (FCIs) and generators (FGs) as well as the precedence relation on FCIs are key components in the definition of a variety of association rule bases. Although their...
Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, R...
NGC
2008
Springer
165views Communications» more  NGC 2008»
13 years 3 months ago
Hyperlink Recommendation Based on Positive and Negative Association Rules
The new HRS method for hyperlink recommendation based on positive and confined negative association rules is presented in the paper. Discovered with the new PANAMA algorithm rules ...
Przemyslaw Kazienko, Marcin Pilarczyk
DEBU
2008
186views more  DEBU 2008»
13 years 4 months ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
CLIMA
2004
13 years 5 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis