Intelligent Systems and Technology (TIST)


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ACM Transactions on Intelligent Systems and Technology (TIST), Volume 3 Issue 4, September 2012

Introduction to the Special Section on Computational Models of Collective Intelligence in the Social Web
Evgeniy Gabrilovich, Zhong Su, Jie Tang
Article No.: 58
DOI: 10.1145/2337542.2337543

Bootstrapping a Game with a Purpose for Commonsense Collection
Amaç Herdağdelen, Marco Baroni
Article No.: 59
DOI: 10.1145/2337542.2337544

Text mining has been very successful in extracting huge amounts of commonsense knowledge from data, but the extracted knowledge tends to be extremely noisy. Manual construction of knowledge repositories, on the other hand, tends to produce...

Folksonomy-Based Term Extraction for Word Cloud Generation
David Carmel, Erel Uziel, Ido Guy, Yosi Mass, Haggai Roitman
Article No.: 60
DOI: 10.1145/2337542.2337545

In this work we study the task of term extraction for word cloud generation in sparsely tagged domains, in which manual tags are scarce. We present a folksonomy-based term extraction method, called tag-boost, which boosts terms that are...

Identify Online Store Review Spammers via Social Review Graph
Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu
Article No.: 61
DOI: 10.1145/2337542.2337546

Online shopping reviews provide valuable information for customers to compare the quality of products, store services, and many other aspects of future purchases. However, spammers are joining this community trying to mislead consumers by writing...

Using Stochastic Models to Describe and Predict Social Dynamics of Web Users
Kristina Lerman, Tad Hogg
Article No.: 62
DOI: 10.1145/2337542.2337547

The popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items will become popular is critically important for both the hosts...

Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling
Zhijun Yin, Liangliang Cao, Quanquan Gu, Jiawei Han
Article No.: 63
DOI: 10.1145/2337542.2337548

This article studies the problem of latent community topic analysis in text-associated graphs. With the development of social media, a lot of user-generated content is available with user networks. Along with rich information in networks, user...

Latent Geospatial Semantics of Social Media
Sergej Sizov
Article No.: 64
DOI: 10.1145/2337542.2337549

Multimodal understanding of shared content is an important success factor for many Web 2.0 applications and platforms. This article addresses the fundamental question of geo-spatial awareness in social media applications. In this context, we...

Introduction to the Special Section on Search and Mining User-Generated Content
José Carlos Cortizo, Francisco Carrero, Iván Cantador, José Antonio Troyano, Paolo Rosso
Article No.: 65
DOI: 10.1145/2337542.2337550

The primary goal of this special section of ACM Transactions on Intelligent Systems and Technology is to foster research in the interplay between Social Media, Data/Opinion Mining and Search, aiming to reflect the actual developments in...

Twitter, MySpace, Digg: Unsupervised Sentiment Analysis in Social Media
Georgios Paltoglou, Mike Thelwall
Article No.: 66
DOI: 10.1145/2337542.2337551

Sentiment analysis is a growing area of research with significant applications in both industry and academia. Most of the proposed solutions are centered around supervised, machine learning approaches and review-oriented datasets. In this article,...

Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering
Anusua Trivedi, Piyush Rai, Hal Daumé, III, Scott L. Duvall
Article No.: 67
DOI: 10.1145/2337542.2337552

Automatic clustering of Web pages helps a number of information retrieval tasks, such as improving user interfaces, collection clustering, introducing diversity in search results, etc. Typically, Web page clustering algorithms use only features...

Information Retrieval in the Commentsphere
Martin Potthast, Benno Stein, Fabian Loose, Steffen Becker
Article No.: 68
DOI: 10.1145/2337542.2337553

This article studies information retrieval tasks related to Web comments. Prerequisite of such a study and a main contribution of the article is a unifying survey of the research field. We identify the most important retrieval tasks related to...

On the Relationship between Novelty and Popularity of User-Generated Content
David Carmel, Haggai Roitman, Elad Yom-Tov
Article No.: 69
DOI: 10.1145/2337542.2337554

This work deals with the task of predicting the popularity of user-generated content. We demonstrate how the novelty of newly published content plays an important role in affecting its popularity. More specifically, we study three dimensions of...

Entity-Relationship Queries over Wikipedia
Xiaonan Li, Chengkai Li, Cong Yu
Article No.: 70
DOI: 10.1145/2337542.2337555

Wikipedia is the largest user-generated knowledge base. We propose a structured query mechanism, entity-relationship query, for searching entities in the Wikipedia corpus by their properties and interrelationships. An entity-relationship...

EachWiki: Facilitating Wiki Authoring by Annotation Suggestion
Haofen Wang, Linyun Fu, Wei Jin, Yong Yu
Article No.: 71
DOI: 10.1145/2337542.2337556

Wikipedia, one of the best-known wikis and the world’s largest free online encyclopedia, has embraced the power of collaborative editing to harness collective intelligence. However, using such a wiki to create high-quality articles is not as...

Nowcasting Events from the Social Web with Statistical Learning
Vasileios Lampos, Nello Cristianini
Article No.: 72
DOI: 10.1145/2337542.2337557

We present a general methodology for inferring the occurrence and magnitude of an event or phenomenon by exploring the rich amount of unstructured textual information on the social part of the Web. Having geo-tagged user posts on the microblogging...

Ranking User Influence in Healthcare Social Media
Xuning Tang, Christopher C. Yang
Article No.: 73
DOI: 10.1145/2337542.2337558

Due to the revolutionary development of Web 2.0 technology, individual users have become major contributors of Web content in online social media. In light of the growing activities, how to measure a user’s influence to other users in online...

Evaluation of Folksonomy Induction Algorithms
Markus Strohmaier, Denis Helic, Dominik Benz, Christian Körner, Roman Kern
Article No.: 74
DOI: 10.1145/2337542.2337559

Algorithms for constructing hierarchical structures from user-generated metadata have caught the interest of the academic community in recent years. In social tagging systems, the output of these algorithms is usually referred to as folksonomies...

An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration
Xiaoqin Shelley Zhang, Darren Scott Appling, Elizabeth T. Whitaker, Ethan B. Trewhitt, Li Ding, James R. Michaelis, Deborah L. McGuinness, James A. Hendler, Janardhan Rao Doppa, Charles Parker, Thomas G. Dietterich, Bhavesh Shrestha, Prasad Tadepalli, Weng-Keen Wong, Derek Green, Anton Rebguns, Diana Spears, Ugur Kuter, Geoff Levine, Gerald DeJong, Reid L. MacTavish, Santiago Ontañón, Sungwook Yoon, Jainarayan Radhakrishnan, Ashwin Ram, Hala Mostafa, Huzaifa Zafar, Chongjie Zhang, Daniel Corkill, Victor Lesser, Zhexuan Song, Subbarao Kambhampati, Phillip DiBona, Jinhong K. Guo, Daniel McFarlane, Martin O. Hofmann, Kenneth Whitebread
Article No.: 75
DOI: 10.1145/2337542.2337560

We present a novel ensemble architecture for learning problem-solving techniques from a very small number of expert solutions and demonstrate its effectiveness in a complex real-world domain. The key feature of our “Generalized Integrated...

Learning Causal Relations in Multivariate Time Series Data
Zhenxing Wang, Laiwan Chan
Article No.: 76
DOI: 10.1145/2337542.2337561

Many applications naturally involve time series data and the vector autoregression (VAR), and the structural VAR (SVAR) are dominant tools to investigate relations between variables in time series. In the first part of this work, we show that the...

Surface Sulfur Detection via Remote Sensing and Onboard Classification
Lukas Mandrake, Umaa Rebbapragada, Kiri L. Wagstaff, David Thompson, Steve Chien, Daniel Tran, Robert T. Pappalardo, Damhnait Gleeson, Rebecca Castaño
Article No.: 77
DOI: 10.1145/2337542.2337562

Orbital remote sensing provides a powerful way to efficiently survey targets such as the Earth and other planets and moons for features of interest. One such feature of astrobiological relevance is the presence of surface sulfur deposits. These...