ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract--We propose a new Consistent Weighted Sampling method, where the probability of drawing identical samples for a pair of inputs is equal to their Jaccard similarity. Our me...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Social media forms a central domain for the production and dissemination of real-time information. Even though such flows of information have traditionally been thought of as diffu...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate a...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Consider a typical recommendation problem. A company has historical records of products sold to a large customer base. These records may be compactly represented as a sparse custom...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract--Recently, the following discrimination aware classification problem was introduced: given a labeled dataset and an attribute , find a classifier with high predictive accu...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
In this paper we propose two methods to derive two different kinds of node similarities in a network based on their neighborhood. The first similarity measure focuses on the overla...