CIKM
2010
Springer
13 years 9 months ago
2010
Springer
CIKM
2010
Springer
13 years 9 months ago
2010
Springer
Retweeting is an important action (behavior) on Twitter, indicating the behavior that users re-post microblogs of their friends. While much work has been conducted for mining text...
CIKM
2010
Springer
13 years 9 months ago
2010
Springer
Current Information Retrieval systems use inverted index structures for efficient query processing. Due to the extremely large size of many data sets, these index structures are u...
CIKM
2010
Springer
13 years 9 months ago
2010
Springer
We explore the application of a graph representation to model similarity relationships that exist among images found on the Web. The resulting similarity-induced graph allows us t...
CIKM
2010
Springer
13 years 9 months ago
2010
Springer
In recent years, there has been an explosion of publicly available RDF and OWL data sources. In order to effectively and quickly answer queries in such an environment, we present...
CIKM
2010
Springer
13 years 9 months ago
2010
Springer
In recent years, a number of projects have turned to Wikipedia to establish large-scale taxonomies that describe orders of magnitude more entities than traditional manually built ...
CIKM
2010
Springer
13 years 9 months ago
2010
Springer
Current recommendation methods are mainly classified into contentbased, collaborative filtering and hybrid methods. These methods are based on similarity measurements among item...
CIKM
2010
Springer
13 years 9 months ago
2010
Springer
Indexes for large collections are often divided into shards that are distributed across multiple computers and searched in parallel to provide rapid interactive search. Typically,...
CIKM
2010
Springer
13 years 9 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
CIKM
2010
Springer
13 years 9 months ago
2010
Springer
Matrix factorization methods are among the most common techniques for detecting latent components in data. Popular examples include the Singular Value Decomposition or Nonnegative...