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Transfer Learning to Infer Social Ties across Heterogeneous Networks
Interpersonal ties are responsible for the structure of social networks and the transmission of information through these networks. Different types of social ties have essentially different influences on people. Awareness of the types of social ties can ...
Power Law Distributions in Information Retrieval
Several properties of information retrieval (IR) data, such as query frequency or document length, are widely considered to be approximately distributed as a power law. This common assumption aims to focus on specific characteristics of the empirical ...
Influence Estimation and Maximization in Continuous-Time Diffusion Networks
If a piece of information is released from a set of media sites, can it spread, in 1 month, to a million web pages? Can we efficiently find a small set of media sites among millions that can maximize the spread of the information, in 1 month? The two ...
Volunteerism Tendency Prediction via Harvesting Multiple Social Networks
Volunteers have always been extremely crucial and in urgent need for nonprofit organizations (NPOs) to sustain their continuing operations. However, it is expensive and time-consuming to recruit volunteers using traditional approaches. In the Web 2.0 ...
A Tensor-Based Information Framework for Predicting the Stock Market
To study the influence of information on the behavior of stock markets, a common strategy in previous studies has been to concatenate the features of various information sources into one compound feature vector, a procedure that makes it more difficult ...
Subspace Frequency Analysis--Based Field Indices Extraction for Electricity Customer Classification
In electricity customer classification, the most important task is to avoid the curse of dimensionality problem, as the consumption diagrams have a large number of dimensions. To avoid the curse of dimensionality problem, field indices (load shape ...
On Effective Location-Aware Music Recommendation
Rapid advances in mobile devices and cloud-based music service now allow consumers to enjoy music anytime and anywhere. Consequently, there has been an increasing demand in studying intelligent techniques to facilitate context-aware music ...
