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» Providing Justifications in Recommender Systems
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IR
2002
13 years 8 months ago
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
SIGMOD
2011
ACM
299views Database» more  SIGMOD 2011»
12 years 12 months ago
Processing theta-joins using MapReduce
Joins are essential for many data analysis tasks, but are not supported directly by the MapReduce paradigm. While there has been progress on equi-joins, implementation of join alg...
Alper Okcan, Mirek Riedewald
IEEESCC
2009
IEEE
14 years 3 months ago
JabberWocky: Crowd-Sourcing Metadata for Files
Finding relevant files in a personal file system continues to be a challenge. It is still easier to find stuff on the Web with its exponential growth than in one’s personal ...
Varun Bhagwan, Carlos Maltzahn
KDD
2003
ACM
149views Data Mining» more  KDD 2003»
14 years 9 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
IFIPTM
2010
113views Management» more  IFIPTM 2010»
13 years 7 months ago
Impact of Trust Management and Information Sharing to Adversarial Cost in Ranking Systems
Ranking systems such as those in product review sites and recommender systems usually use ratings to rank favorite items based on both their quality and popularity. Since higher ra...
Le-Hung Vu, Thanasis G. Papaioannou, Karl Aberer