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Displaying 1-50 out of 69 total
Task Matching in Crowdsourcing
Found in: International Conference on Internet of Things and International Conference on Cyber, Physical and Social Computing
By Man-Ching Yuen,Irwin King,Kwong-Sak Leung
Issue Date:October 2011
pp. 409-412
Crowd sourcing is evolving as a distributed problem-solving and business production model in recent years. In crowd sourcing paradigm, tasks are distributed to networked people to complete such that a company¡¦s production cost can be greatly reduced. A ...
 
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data
Found in: Neural Networks, IEEE - INNS - ENNS International Joint Conference on
By Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell
Issue Date:June 2009
pp. 1272-1277
We consider the task of Self-taught Learning (STL) from unlabeled data. In contrast to semi-supervised learning, which requires unlabeled data to have the same set of class labels as labeled data, STL can transfer knowledge from different types of unlabele...
 
Regression Analysis for Rival Penalized Competitive Learning Binary Tree
Found in: Neural Networks, IEEE - INNS - ENNS International Joint Conference on
By Xue Qun Li, Irwin King
Issue Date:July 2000
pp. 6290
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penalized Competitive Learning Binary Tree (RPCL-b-tree). RPCL-b-tree is a hierarchic...
 
Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization
Found in: IEEE Transactions on Services Computing
By Zibin Zheng,Hao Ma,Michael R. Lyu,Irwin King
Issue Date:July 2013
pp. 289-299
With the increasing presence and adoption of web services on the World Wide Web, the demand of efficient web service quality evaluation approaches is becoming unprecedentedly strong. To avoid the expensive and time-consuming web service invocations, this p...
 
Component Ranking for Fault-Tolerant Cloud Applications
Found in: IEEE Transactions on Services Computing
By Zibin Zheng,Tom Chao Zhou,Michael R. Lyu,Irwin King
Issue Date:September 2012
pp. 540-550
Cloud computing is becoming a mainstream aspect of information technology. More and more enterprises deploy their software systems in the cloud environment. The cloud applications are usually large scale and include a lot of distributed cloud components. B...
 
Mining test oracles of web search engines
Found in: Automated Software Engineering, International Conference on
By Wujie Zheng,Hao Ma,Michael R. Lyu,Tao Xie,Irwin King
Issue Date:November 2011
pp. 408-411
Web search engines have major impact in people's everyday life. It is of great importance to test the retrieval effectiveness of search engines. However, it is labor-intensive to judge the relevance of search results for a large number of queries, and thes...
 
Mining Web Graphs for Recommendations
Found in: IEEE Transactions on Knowledge and Data Engineering
By Hao Ma,Irwin King,Michael Rung-Tsong Lyu
Issue Date:June 2012
pp. 1051-1064
As the exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable. Innumerable different kinds of recommendations are made on the Web every day, including movies, music, images, books re...
 
QoS-Aware Web Service Recommendation by Collaborative Filtering
Found in: IEEE Transactions on Services Computing
By Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King
Issue Date:April 2011
pp. 140-152
With increasing presence and adoption of Web services on the World Wide Web, Quality-of-Service (QoS) is becoming important for describing nonfunctional characteristics of Web services. In this paper, we present a collaborative filtering approach for predi...
 
FTCloud: A Component Ranking Framework for Fault-Tolerant Cloud Applications
Found in: Software Reliability Engineering, International Symposium on
By Zibin Zheng, Tom Chao Zhou, Michael R. Lyu, Irwin King
Issue Date:November 2010
pp. 398-407
Cloud computing is becoming a mainstream aspect of information technology. The cloud applications are usually large-scale, complex, and include a lot of distributed components. Providing highly reliable cloud applications is a challenging and critical rese...
 
TagRec: Leveraging Tagging Wisdom for Recommendation
Found in: Computational Science and Engineering, IEEE International Conference on
By Tom Chao Zhou, Hao Ma, Irwin King, Michael R. Lyu
Issue Date:August 2009
pp. 194-199
Due to the exponential growth of information on the Web, Recommender Systems have been developed to generate suggestions to help users overcome information overload and sift through huge amounts of information efficiently. Many existing approaches to recom...
 
Mathematical Modeling of Social Games
Found in: Computational Science and Engineering, IEEE International Conference on
By Kam Tong Chan, Irwin King, Man-Ching Yuen
Issue Date:August 2009
pp. 1205-1210
Human computation is a technique that makes use of human abilities for computation to solve problems. Social games use the power of the Internet game players to solve human computation problems. In previous works, many social games were proposed and were q...
 
A Survey of Human Computation Systems
Found in: Computational Science and Engineering, IEEE International Conference on
By Man-Ching Yuen, Ling-Jyh Chen, Irwin King
Issue Date:August 2009
pp. 723-728
Human computation is a technique that makes use of human abilities for computation to solve problems. The human computation problems are the problems those computers are not good at solving but are trivial for humans. In this paper, we give a survey of var...
 
WSRec: A Collaborative Filtering Based Web Service Recommender System
Found in: Web Services, IEEE International Conference on
By Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King
Issue Date:July 2009
pp. 437-444
As the abundance of Web services on the World Wide Web increase,designing effective approaches for Web service selection and recommendation has become more and more important. In this paper, we present WSRec, a Web service recommender system, to attack thi...
 
A brief survey of computational approaches in Social Computing
Found in: Neural Networks, IEEE - INNS - ENNS International Joint Conference on
By Irwin King, Jiexing Li, Kam Tong Chan
Issue Date:June 2009
pp. 1625-1632
Web 2.0 technologies have brought new ways of connecting people in social networks for collaboration in various on-line communities. Social Computing is a novel and emerging computing paradigm that involves a multi-disciplinary approach in analyzing and mo...
 
Semi-supervised Learning from General Unlabeled Data
Found in: Data Mining, IEEE International Conference on
By Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu
Issue Date:December 2008
pp. 273-282
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better utilize the information from unlabeled data by formulating them as a three-c...
 
Direct Zero-Norm Optimization for Feature Selection
Found in: Data Mining, IEEE International Conference on
By Kaizhu Huang, Irwin King, Michael R. Lyu
Issue Date:December 2008
pp. 845-850
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combinatorially difficult optimization problem. In contrast to previous methods tha...
 
Formal Models for Expert Finding on DBLP Bibliography Data
Found in: Data Mining, IEEE International Conference on
By Hongbo Deng, Irwin King, Michael R. Lyu
Issue Date:December 2008
pp. 163-172
Finding relevant experts in a specific field is often crucial for consulting, both in industry and in academia. The aim of this paper is to address the expert-finding task in a real world academic field. We present three models for expert finding based on ...
 
RATE: A Review of Reviewers in a Manuscript Review Process
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Wei Wei, Kam Tong Chan, Irwin King, Jimmy Ho-Man Lee
Issue Date:December 2008
pp. 204-207
In this paper, we propose a novel approach called, Reviewers Authority Testing and Evaluation (RATE), to improve the effectiveness of a manuscript review process. In the proposed RATE approach, we define a RATE model to express a manuscript review process ...
 
An Analytical Approach to Optimizing the Utility of ESP Games
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Chien-Wei Lin, Kuan-Ta Chen, Ling-Jyh Chen, Irwin King, Jimmy H.M. Lee
Issue Date:December 2008
pp. 184-187
In this paper, we propose an analytical model for computing the utility of ESP games, i.e., the throughput rate of appropriate labels for given puzzles. The model targets generalized games, where the number of players, the consensus threshold, and the stop...
 
An Analytical Study of Puzzle Selection Strategies for the ESP Game
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Ling-Jyh Chen, Bo-Chun Wang, Kuan-Ta Chen, Irwin King, Jimmy Lee
Issue Date:December 2008
pp. 180-183
No summary available.
 
Extending Link-based Algorithms for Similar Web Pages with Neighborhood Structure
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Zhenjiang Lin, Michael R. Lyu, Irwin King
Issue Date:November 2007
pp. 263-266
The problem of fnding similar pages to a given web page arises in many web applications such as search engine. In this paper, we focus on the link-based similarity measures which compute web page similarity solely from the hyperlinks of the Web. We first p...
 
PageSim: A Novel Link-Based Similarity Measure for the World Wide Web
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Zhenjiang Lin, Irwin King, Michael R. Lyu
Issue Date:December 2006
pp. 687-693
The requirement for measuring the similarity between web pages arises in many applications on the Web, such as web searching engine and web document classification. According to the unique characteristics of the Web, which are huge, rapidly growing, high d...
 
Semantic Video Summarization Using Mutual Reinforcement Principle and Shot Arrangement Patterns
Found in: Multi-Media Modeling Conference, International
By Shi Lu, Michael R. Lyu, Irwin King
Issue Date:January 2005
pp. 60-67
We propose a novel semantic video summarization framework, which generates video skimmings that guarantee both the balanced content coverage and the visual coherence. First, we collect video semantic information with a semi-automatic video annotation tool....
 
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
Issue Date:July 2004
pp. 558-563
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the other class, usually the more important class. Traditional machine learning ...
 
Face Recognition Committee Machines: Dynamic vs Static Structures
Found in: Image Analysis and Processing, International Conference on
By Ho-Man Tang, Michael R. Lyu, Irwin King
Issue Date:September 2003
pp. 121
We propose a Dynamic Face Recognition Committee Machine (DFRCM) consisting of five well-known state-of-the-art algorithms in this paper. In previous work, we have developed a static committee machine which outperforms all the individual algorithms in the e...
 
Efficient online learning for multitask feature selection
Found in: ACM Transactions on Knowledge Discovery from Data (TKDD)
By Haiqin Yang, Irwin King, Michael R. Lyu
Issue Date:July 2013
pp. 1-27
Learning explanatory features across multiple related tasks, or MultiTask Feature Selection (MTFS), is an important problem in the applications of data mining, machine learning, and bioinformatics. Previous MTFS methods fulfill this task by batch-mode trai...
     
Introduction to the special section on twitter and microblogging services
Found in: ACM Transactions on Intelligent Systems and Technology (TIST)
By Irwin King, Wolfgang Nejdl
Issue Date:January 2013
pp. 1-2
A participatory mobile sensing system is designed to enable clients to voluntarily collect environmental data using embedded sensors and a mobile device while going about their daily activities. Due to the spatio-temporal nature of the data, and the signif...
     
Information propagation in social rating networks
Found in: Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12)
By Irwin King, Michael R. Lyu, Priyanka Garg
Issue Date:October 2012
pp. 2279-2282
The polarity of opinion is a crucial part of information and ignoring the asymmetry between them, can potentially result in an inaccurate estimation of the number of product adoptions and incorrect recommendations. We analyze the propagation patterns of th...
     
Do ads compete or collaborate?: designing click models with full relationship incorporated
Found in: Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12)
By Heyan Huang, Irwin King, Michael R. Lyu, Ritesh Agrawal, Xin Xin
Issue Date:October 2012
pp. 1839-1843
Traditionally click models predict click-through rate (CTR) of an advertisement (ad) independent of other ads. Recent researches however indicate that the CTR of an ad is dependent on the quality of the ad itself but also of the neighboring ads. Using hist...
     
Task recommendation in crowdsourcing systems
Found in: Proceedings of the First International Workshop on Crowdsourcing and Data Mining (CrowdKDD '12)
By Irwin King, Kwong-Sak Leung, Man-Ching Yuen
Issue Date:August 2012
pp. 22-26
In crowdsourcing systems, tasks are distributed to networked people to complete such that a company's production cost can be greatly reduced. Obviously, it is not efficient that the amount of time for a worker spent on selecting a task is comparable with t...
     
Question identification on twitter
Found in: Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11)
By Baichuan Li, Edward Y. Chang, Irwin King, Michael R. Lyu, Xiance Si
Issue Date:October 2011
pp. 2477-2480
In this paper, we investigate the novel problem of automatic question identification in the microblog environment. It contains two steps: detecting tweets that contain questions (we call them "interrogative tweets") and extracting the tweets which really s...
     
Question routing in community question answering: putting category in its place
Found in: Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11)
By Baichuan Li, Irwin King, Michael R. Lyu
Issue Date:October 2011
pp. 2041-2044
This paper investigates a ground-breaking incorporation of question category to Question Routing (QR) in Community Question Answering (CQA) services. The incorporation of question category was designed to estimate answerer expertise for routing questions t...
     
Can irrelevant data help semi-supervised learning, why and how?
Found in: Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11)
By Haiqin Yang, Irwin King, Michael R. Lyu, Shenghuo Zhu
Issue Date:October 2011
pp. 937-946
Previous semi-supervised learning (SSL) techniques usually assume unlabeled data are relevant to the target task. That is, they follow the same distribution as the targeted labeled data. In this paper, we address a different and very difficult scenario in ...
     
Towards a top-down and bottom-up bidirectional approach to joint information extraction
Found in: Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11)
By Irwin King, Michael R. Lyu, Xiaofeng Yu
Issue Date:October 2011
pp. 847-856
Most high-level information extraction (IE) consists of compound and aggregated subtasks. Such IE problems are generally challenging and they have generated increasing interest recently. We investigate two representative IE tasks: (1) entity identification...
     
Location-based topic evolution
Found in: Proceedings of the 1st international workshop on Mobile location-based service (MLBS '11)
By Haiqin Yang, Irwin King, Michael R. Lyu, Shouyuan Chen
Issue Date:September 2011
pp. 89-98
As the advance of mobile technologies, geographical records can be easily embedded in the data to form the location-associated documents. For example, in Twitter, the location of tweets can be identified by the GPS locations or IP addresses from smart phon...
     
Probabilistic factor models for web site recommendation
Found in: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information (SIGIR '11)
By Chao Liu, Hao Ma, Irwin King, Michael R. Lyu
Issue Date:July 2011
pp. 265-274
Due to the prevalence of personalization and information filtering applications, modeling users' interests on the Web has become increasingly important during the past few years. In this paper, aiming at providing accurate personalized Web site recommendat...
     
Improving Recommender Systems by Incorporating Social Contextual Information
Found in: ACM Transactions on Information Systems (TOIS)
By Hao Ma, Irwin King, Michael R. Lyu, Tom Chao Zhou
Issue Date:April 2011
pp. 1-23
Due to their potential commercial value and the associated great research challenges, recommender systems have been extensively studied by both academia and industry recently. However, the data sparsity problem of the involved user-item matrix seriously af...
     
Learning to recommend with explicit and implicit social relations
Found in: ACM Transactions on Intelligent Systems and Technology (TIST)
By Hao Ma, Irwin King, Michael R. Lyu
Issue Date:April 2011
pp. 1-19
Recommender systems have been well studied and developed, both in academia and in industry recently. However, traditional recommender systems assume that all the users are independent and identically distributed; this assumption ignores the connections amo...
     
Online learning for multi-task feature selection
Found in: Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM '10)
By Haiqin Yang, Irwin King, Michael R. Lyu
Issue Date:October 2010
pp. 1693-1696
Multi-task feature selection (MTFS) is an important tool to learn the explanatory features across multiple related tasks. Previous MTFS methods fulfill this task in batch-mode training. This makes them inefficient when data come in sequence or when the num...
     
Routing questions to appropriate answerers in community question answering services
Found in: Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM '10)
By Baichuan Li, Irwin King
Issue Date:October 2010
pp. 1585-1588
Community Question Answering (CQA) service provides a platform for increasing number of users to ask and answer for their own needs but unanswered questions still exist within a fixed period. To address this, the paper aims to route questions to the right ...
     
Automobile, car and BMW: horizontal and hierarchical approach in social tagging systems
Found in: Proceeding of the 2nd ACM workshop on Social web search and mining (SWSM '09)
By Irwin King, Tom Chao Zhou
Issue Date:November 2009
pp. 25-32
Social tagging systems have recently emerged as an effective way for users to annotate and organize large collections of resources on the Web. Moreover, they also facilitate an efficient sharing of vast amounts of resources among different users. In this p...
     
Enhancing expertise retrieval using community-aware strategies
Found in: Proceeding of the 18th ACM conference on Information and knowledge management (CIKM '09)
By Hongbo Deng, Irwin King, Michael R. Lyu
Issue Date:November 2009
pp. 1733-1736
Expertise retrieval has received increased interests in recent years, whose task is to suggest people with relevant expertise. Motivated by the observation that communities could provide valuable insight and distinctive information, we investigate two comm...
     
MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching
Found in: Proceeding of the 18th ACM conference on Information and knowledge management (CIKM '09)
By Irwin King, Michael R. Lyu, Zhenjiang Lin
Issue Date:November 2009
pp. 1613-1616
The problem of measuring similarity between web pages arises in many important Web applications, such as search engines and Web directories. In this paper, we propose a novel neighbor-based similarity measure called MatchSim, which uses only the neighborho...
     
A social recommendation framework based on multi-scale continuous conditional random fields
Found in: Proceeding of the 18th ACM conference on Information and knowledge management (CIKM '09)
By Hongbo Deng, Irwin King, Michael R. Lyu, Xin Xin
Issue Date:November 2009
pp. 1247-1256
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes information and relations in social networks to assist recommender systems. Although rec...
     
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
Found in: Proceeding of the 18th ACM conference on Information and knowledge management (CIKM '09)
By Haixuan Yang, Hao Ma, Irwin King, Michael R. Lyu
Issue Date:November 2009
pp. 767-776
Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial communities. One of the most popular approaches to collaborative filtering recom...
     
Learning to recommend with trust and distrust relationships
Found in: Proceedings of the third ACM conference on Recommender systems (RecSys '09)
By Hao Ma, Irwin King, Michael R. Lyu
Issue Date:October 2009
pp. 189-196
With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in the industry, traditional recommender systems suffer from several problems. Fir...
     
First ACM SIGMM international workshop onsocial media (WSM'09)
Found in: Proceedings of the seventeen ACM international conference on Multimedia (MM '09)
By Dong Xu, Irwin King, Jiebo Luo, Rong Jin, Steven C.H. Hoi, Susanne Boll
Issue Date:October 2009
pp. 1161-1162
The ACM SIGMM International Workshop on Social Media (WSM'09) is the first workshop held in conjunction with the ACM International Multimedia Conference (MM'09) at Bejing, P.R. China, 2009. This workshop provides a forum for researchers and practitioners f...
     
Entropy-biased models for query representation on the click graph
Found in: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (SIGIR '09)
By Hongbo Deng, Irwin King, Michael R. Lyu
Issue Date:July 2009
pp. 435-435
Query log analysis has received substantial attention in recent years, in which the click graph is an important technique for describing the relationship between queries and URLs. State-of-the-art approaches based on the raw click frequencies for modeling ...
     
Learning to recommend with social trust ensemble
Found in: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (SIGIR '09)
By Hao Ma, Irwin King, Michael R. Lyu
Issue Date:July 2009
pp. 435-435
As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, most of current recommender systems suffer the following problems: (1) The large...
     
A generalized Co-HITS algorithm and its application to bipartite graphs
Found in: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '09)
By Hongbo Deng, Irwin King, Michael R. Lyu
Issue Date:June 2009
pp. 1-24
Recently many data types arising from data mining and Web search applications can be modeled as bipartite graphs. Examples include queries and URLs in query logs, and authors and papers in scientific literature. However, one of the issues is that previous ...
     
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