Intelligent Systems and Technology (TIST)


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ACM Transactions on Intelligent Systems and Technology (TIST), Volume 8 Issue 5, September 2017

RCMC: Recognizing Crowd-Mobility Patterns in Cities Based on Location Based Social Networks Data
Haytham Assem, Teodora Sandra Buda, Declan O’sullivan
Article No.: 70
DOI: 10.1145/3086636

During the past few years, the analysis of data generated from Location-Based Social Networks (LBSNs) have aided in the identification of urban patterns, understanding activity behaviours in urban areas, as well as producing novel recommender...

Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things
Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Xue Li, Boualem Benattalah
Article No.: 62
DOI: 10.1145/3035967

With recent advances in radio-frequency identification (RFID), wireless sensor networks, and Web services, physical things are becoming an integral part of the emerging ubiquitous Web. Finding correlations among ubiquitous things is a crucial...

As-You-Type Social Aware Search
Paul Lagrée, Bogdan Cautis, Hossein Vahabi
Article No.: 63
DOI: 10.1145/3035969

Modern search applications feature real-time as-you-type query search. In its elementary form, the problem consists in retrieving a set of k search results, that is, performing a search with a given prefix, and showing the top-ranked...

Sparse Online Learning of Image Similarity
Xingyu Gao, Steven C. H. Hoi, Yongdong Zhang, Jianshe Zhou, Ji Wan, Zhenyu Chen, Jintao Li, Jianke Zhu
Article No.: 64
DOI: 10.1145/3065950

Learning image similarity plays a critical role in real-world multimedia information retrieval applications, especially in Content-Based Image Retrieval (CBIR) tasks, in which an accurate retrieval of visually similar objects largely relies on an...

Transfer Learning for Behavior Ranking
Weike Pan, Qiang Yang, Yuchao Duan, Ben Tan, Zhong Ming
Article No.: 65
DOI: 10.1145/3057732

Intelligent recommendation has been well recognized as one of the major approaches to address the information overload problem in the big data era. A typical intelligent recommendation engine usually consists of three major components, that is,...

Homogeneity in Web Search Results: Diagnosis and Mitigation
Rakesh Agrawal, Behzad Golshan, Evangelos E. Papalexakis
Article No.: 66
DOI: 10.1145/3057731

Access to diverse perspectives nurtures an informed citizenry. Google and Bing have emerged as the duopoly that largely arbitrates which English-language documents are seen by web searchers. We present our empirical study over the search results...

Visual Classification of Furniture Styles
Zhenhen Hu, Yonggang Wen, Luoqi Liu, Jianguo Jiang, Richang Hong, Meng Wang, Shuicheng Yan
Article No.: 67
DOI: 10.1145/3065951

Furniture style describes the discriminative appearance characteristics of furniture. It plays an important role in real-world indoor decoration. In this article, we explore the furniture style features and study the problem of furniture style...

Adult Image and Video Recognition by a Deep Multicontext Network and Fine-to-Coarse Strategy
Xinyu Ou, Hefei Ling, Han Yu, Ping Li, Fuhao Zou, Si Liu
Article No.: 68
DOI: 10.1145/3057733

Adult image and video recognition is an important and challenging problem in the real world. Low-level feature cues do not produce good enough information, especially when the dataset is very large and has various data distributions. This issue...

DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems
Brammert Ottens, Christos Dimitrakakis, Boi Faltings
Article No.: 69
DOI: 10.1145/3066156

We propose a distributed upper confidence bound approach, DUCT, for solving distributed constraint optimization problems. We compare four variants of this approach with a baseline random sampling algorithm, as well as other complete and incomplete...

Augmented Collaborative Filtering for Sparseness Reduction in Personalized POI Recommendation
Chaoran Cui, Jialie Shen, Liqiang Nie, Richang Hong, Jun Ma
Article No.: 71
DOI: 10.1145/3086635

As mobile device penetration increases, it has become pervasive for images to be associated with locations in the form of geotags. Geotags bridge the gap between the physical world and the cyberspace, giving rise to new opportunities to extract...