Intelligent Systems and Technology (TIST)


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ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue: Mobile Social Multimedia Analytics in the Big Data Era and Regular Papers, Volume 8 Issue 3, April 2017

Section: Special Issue: Mobile Social Multimedia Analytics in the Big Data Era

Mobile Social Multimedia Analytics in the Big Data Era: An Introduction to the Special Issue
Rongrong Ji, Wei Liu, Xing Xie, Yiqiang Chen, Jiebo Luo
Article No.: 34
DOI: 10.1145/3040934

Event Classification in Microblogs via Social Tracking
Yue Gao, Hanwang Zhang, Xibin Zhao, Shuicheng Yan
Article No.: 35
DOI: 10.1145/2967502

Social media websites have become important information sharing platforms. The rapid development of social media platforms has led to increasingly large-scale social media data, which has shown remarkable societal and marketing values. There are...

Learning User Attributes via Mobile Social Multimedia Analytics
Liqiang Nie, Luming Zhang, Meng Wang, Richang Hong, Aleksandr Farseev, Tat-Seng Chua
Article No.: 36
DOI: 10.1145/2963105

Learning user attributes from mobile social media is a fundamental basis for many applications, such as personalized and targeting services. A large and growing body of literature has investigated the user attributes learning problem. However, far...

Large Sparse Cone Non-negative Matrix Factorization for Image Annotation
Dapeng Tao, Dacheng Tao, Xuelong Li, Xinbo Gao
Article No.: 37
DOI: 10.1145/2987379

Image annotation assigns relevant tags to query images based on their semantic contents. Since Non-negative Matrix Factorization (NMF) has the strong ability to learn parts-based representations, recently, a number of algorithms based on NMF have...

Location-Based Parallel Tag Completion for Geo-Tagged Social Image Retrieval
Jiaming Zhang, Shuhui Wang, Qingming Huang
Article No.: 38
DOI: 10.1145/3001593

Having benefited from tremendous growth of user-generated content, social annotated tags get higher importance in the organization and retrieval of large-scale image databases on Online Sharing Websites (OSW). To obtain high-quality tags from...

Exploiting Social-Mobile Information for Location Visualization
Jitao Sang, Quan Fang, Changsheng Xu
Article No.: 39
DOI: 10.1145/3001594

With a smart phone at hand, it becomes easy now to snap pictures and publish them online with few lines of texts. The GPS coordinates and User-Generated Content (UGC) data embedded in the shared photos provide opportunities to exploit important...

Cost-Optimized Microblog Distribution over Geo-Distributed Data Centers: Insights from Cross-Media Analysis
Han Hu, Yonggang Wen, Tat-Seng Chua, Xuelong Li
Article No.: 40
DOI: 10.1145/3014431

The unprecedent growth of microblog services poses significant challenges on network traffic and service latency to the underlay infrastructure (i.e., geo-distributed data centers). Furthermore, the dynamic evolution in microblog status generates...

Section: Regular Papers

Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification
Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
Article No.: 41
DOI: 10.1145/2983921

The queries issued to search engines are often ambiguous or multifaceted, which requires search engines to return diverse results that can fulfill as many different information needs as possible; this is called search result...

Nonnegative Matrix Factorization with Integrated Graph and Feature Learning
Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng
Article No.: 42
DOI: 10.1145/2987378

Matrix factorization is a useful technique for data representation in many data mining and machine learning tasks. Particularly, for data sets with all nonnegative entries, matrix factorization often requires that factor matrices be nonnegative,...

Learning k for kNN Classification
Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Debo Cheng
Article No.: 43
DOI: 10.1145/2990508

The K Nearest Neighbor (kNN) method has widely been used in the applications of data mining and machine learning due to its simple implementation and distinguished performance. However, setting all test data with the same k value in...

Modeling Topics and Behavior of Microbloggers: An Integrated Approach
Tuan-Anh Hoang, Ee-Peng Lim
Article No.: 44
DOI: 10.1145/2990507

Microblogging encompasses both user-generated content and behavior. When modeling microblogging data, one has to consider personal and background topics, as well as how these topics generate the observed content and behavior. In this article, we...

CRADLE: An Online Plan Recognition Algorithm for Exploratory Domains
Reuth Mirsky, Ya’akov (Kobi) Gal, Stuart M. Shieber
Article No.: 45
DOI: 10.1145/2996200

In exploratory domains, agents’ behaviors include switching between activities, extraneous actions, and mistakes. Such settings are prevalent in real world applications such as interaction with open-ended software, collaborative office...

A Distribution Separation Method Using Irrelevance Feedback Data for Information Retrieval
Peng Zhang, Qian Yu, Yuexian Hou, Dawei Song, Jingfei Li, Bin Hu
Article No.: 46
DOI: 10.1145/2994608

In many research and application areas, such as information retrieval and machine learning, we often encounter dealing with a probability distribution that is mixed by one distribution that is relevant to our task in hand and the other that is...

Daehr: A Discriminant Analysis Framework for Electronic Health Record Data and an Application to Early Detection of Mental Health Disorders
Haoyi Xiong, Jinghe Zhang, Yu Huang, Kevin Leach, Laura E. Barnes
Article No.: 47
DOI: 10.1145/3007195

Electronic health records (EHR) provide a rich source of temporal data that present a unique opportunity to characterize disease patterns and risk of imminent disease. While many data-mining tools have been adopted for EHR-based disease early...

ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation
Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou
Article No.: 48
DOI: 10.1145/3011019

With the rapid development of location-based social networks (LBSNs), spatial item recommendation has become an important mobile application, especially when users travel away from home. However, this type of recommendation is very challenging...