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ACM Transactions on Interactive Intelligent Systems (TiiS), Volume 7 Issue 2, July 2017

Introduction to the Special Issue on Big Personal Data in Interactive Intelligent Systems
F. Cena, C. Gena, G. J. Houben, M. Strohmaier
Article No.: 6
DOI: 10.1145/3101102

This brief introduction begins with an overview of the types of research that are relevant to the special issue on Big Personal Data in Interactive Intelligent Systems. The overarching question is: How can big personal data be collected, analyzed,...

Discovering User Behavioral Features to Enhance Information Search on Big Data
Nunziato Cassavia, Elio Masciari, Chiara Pulice, Domenico Saccà
Article No.: 7
DOI: 10.1145/2856059

Due to the emerging Big Data paradigm, driven by the increasing availability of intelligent services easily accessible by a large number of users (e.g., social networks), traditional data management techniques are inadequate in many real-life...

Making Machine-Learning Applications for Time-Series Sensor Data Graphical and Interactive
Seungjun Kim, Dan Tasse, Anind K. Dey
Article No.: 8
DOI: 10.1145/2983924

The recent profusion of sensors has given consumers and researchers the ability to collect significant amounts of data. However, understanding sensor data can be a challenge, because it is voluminous, multi-sourced, and unintelligible....

Have You Lost the Thread? Discovering Ongoing Conversations in Scattered Dialog Blocks
Fabio Massimo Zanzotto, Lorenzo Ferrone
Article No.: 9
DOI: 10.1145/2885501

Finding threads in textual dialogs is emerging as a need to better organize stored knowledge. We capture this need by introducing the novel task of discovering ongoing conversations in scattered dialog blocks. Our aim in this article is twofold....