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ACM Transactions on Information Systems (TOIS), Volume 34 Issue 2, April 2016

Transfer Learning to Infer Social Ties across Heterogeneous Networks
Jie Tang, Tiancheng Lou, Jon Kleinberg, Sen Wu
Article No.: 7
DOI: 10.1145/2746230

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...

Power Law Distributions in Information Retrieval
Casper Petersen, Jakob Grue Simonsen, Christina Lioma
Article No.: 8
DOI: 10.1145/2816815

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...

Influence Estimation and Maximization in Continuous-Time Diffusion Networks
Manuel Gomez-Rodriguez, Le Song, Nan Du, Hongyuan Zha, Bernhard Schölkopf
Article No.: 9
DOI: 10.1145/2824253

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...

Volunteerism Tendency Prediction via Harvesting Multiple Social Networks
Xuemeng Song, Zhao-Yan Ming, Liqiang Nie, Yi-Liang Zhao, Tat-Seng Chua
Article No.: 10
DOI: 10.1145/2832907

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...

A Tensor-Based Information Framework for Predicting the Stock Market
Qing Li, Yuanzhu Chen, Li Ling Jiang, Ping Li, Hsinchun Chen
Article No.: 11
DOI: 10.1145/2838731

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...

Subspace Frequency Analysis--Based Field Indices Extraction for Electricity Customer Classification
Minghao Piao, Keun Ho Ryu
Article No.: 12
DOI: 10.1145/2858657

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...

On Effective Location-Aware Music Recommendation
Zhiyong Cheng, Jialie Shen
Article No.: 13
DOI: 10.1145/2846092

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...