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Influence Estimation and Maximization in Continuous-Time Diffusion Networks

If a piece of information is released from a set of media sites, can it spread, in 1 month, to a million web pages? Can we efficiently find a small... (more)

A Tensor-Based Information Framework for Predicting the Stock Market

To study the influence of information on the behavior of stock markets, a common strategy in previous studies has been to concatenate the features of... (more)

Subspace Frequency Analysis--Based Field Indices Extraction for Electricity Customer Classification

In electricity customer classification, the most important task is to avoid the curse of... (more)

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Call for Papers

ACM Transactions on Information Systems (TOIS) Call for submissions to a Special Issue on Search, Mining and their Applications on Mobile Devices. Click here to see more details.

Call for Special Issue Proposals

ACM Transactions on Information Systems (TOIS) invites proposals for a special issue of the journal devoted to any topic in information retrieval. Click here to see more details.

New options for ACM authors to manage rights and permissions for their work

 

ACM introduces a new publishing license agreement, an updated copyright transfer agreement, and a new authorpays option which allows for perpetual open access through the ACM Digital Library. For more information, visit the ACM Author Rights webpage.

 

About TOIS

ACM Transactions on Information Systems (TOIS) is a scholarly journal that publishes previously unpublished high-quality scholarly articles in all areas of information retrieval. TOIS is published quarterly.

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Forthcoming Articles
Misinformation in Online Social Networks: Detect Them All with Limited Budget

Online Social Networks (OSNs), such as Facebook, Twitter and Google+, facilitate the interactions and communications among people. However, they also make it a fertile land for misinformation to rapidly spread out, which may lead to detrimental consequences. Thus it is imperative to detect the misinformation propagating through OSNs by placing monitors. In this paper, we first study a general misinformation detection problem and show its equivalence to the influence maximization problem. Moreover, in order to prevent misinformation from reaching a specific user, we define a Ä-Monitor Placement problem for cases where the partial knowledge of misinformation sources is available. We prove the #P complexity of this problem and additionally propose an efficient algorithm to solve it. Furthermore, we generalize the problem from a single target user to multiple central nodes by proposing another algorithm based on sampling technique. Extensive experiments on real-world data show the effectiveness of proposed algorithms with respect to minimizing the number of monitors.

Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation

Point-of-Interest (POI) recommendation has become an important means to help people discover attractive and interesting places, especially when users travel out of town. However, extreme sparsity of user-POI matrix creates a severe challenge. To cope with this challenge, we propose a unified probabilistic generative model, Topic-Region Model (TRM), to simultaneously discover the semantic, temporal and spatial patterns of users' check-in activities, and to model their joint effect on users' decision-making for selection of POIs to visit. To demonstrate the applicability and flexibility of TRM, we investigate how it supports two recommendation scenarios in a unified way, i.e., home-town recommendation and out-of-town recommendation. To support real-time POI recommendation, we further extend the TRM model to an online learning model TRM-Online to track changing user interests and speed up the model training. Besides, based on the learnt model, we propose a clustering-based branch and bound algorithm (CBB) to prune the POI search space and facilitate fast retrieval of the top-k recommendations. We conduct extensive experiments to evaluate the performance of our proposals on two real-world datasets including recommendation effectiveness, overcoming cold-start problem, recommendation efficiency and model training efficiency. The experimental results demonstrate the superiority of our proposals.

On Effective Location-Aware Music Recommendation

apid advances in mobile devices and cloud-based music service now allow consumers to enjoy music at anytime and anywhere. Consequently, there has been increasing demand in studying intelligent techniques for context aware music recommendation. However, one important context that is generally overlooked in current research is user's venue, which often includes various semantics to greatly influence the users' music preference. In this paper, we present a novel location-aware music recommender system to effectively identify suitable music for various common venues in our daily lives. Towards this goal, we develop a Location aware Topic Model (LTM) to 1) effectively extract the topics related to different venues and 2) accurately infer the music for a certain location under a latent topic space, in which the music contents can be directly matched with the venue. An extensive experimental study based on two large music test collections demonstrates the various advantages of the proposed systems.

Do Improvements Still Add Up?

This paper presents a study of the question of which baseline to use when testing a new retrieval technique. We show that measuring a statistically significant improvement over a weak baseline is not necessarily a good predictor of whether the improvement will be measured on a strong baseline. Indeed, sometimes strong baselines are often made worse. We show there is little past research outlining how strong a baseline must be in order for an experimental comparison to be valid. This paper describes a series of experiments examining the testing of new techniques against multiple baselines. We show that the only way to be truly confident that a new technique is a real contribution is to compare it against, nothing less than the state of the art. However, showing consistent significant improvement over a basket of lower performing baselines can give researchers a level of confidence that a new technique will at the very least not degrade a state of the art system.

Power Law Distributions in Information Retrieval

Several properties of information retrieval (IR) data, e.g. query length, are widely considered to be approximately distributed as a power law. This assumption is common practice, aiming to focus on specific characteristics of an empirical probability distribution, e.g. its long/fat tail. Motivated by recent work in the statistical treatment of power law claims, we investigate two research questions: (1) To what extent do power law approximations hold for the following IR data properties: (i) term frequency, (ii) document length, (iii) query length, (iv) citation frequency and (v) syntactic $n$-gram frequency? (2) What is the computational cost (and its practical consequences to operational IR systems) of replacing empirical power law approximations with more accurate distribution fitting? To answer these two questions we study 25 TREC and 3 non-TREC datasets and we compare the fit of power laws to 15 other standard probability distributions. We find that term frequency is best approximated by a power law only for 5 datasets. The other data properties are better approximated by the inverse Gaussian, Generalized Extreme Value, Negative Binomial or Yule. We also find that the overhead of replacing power law approximations by more informed distribution fittings is negligible for operational IR systems.

Overview of the Special Issue on Trust and Veracity of Information in Social Media

Volunteerism Tendency Prediction via Harvesting Multiple Social Networks

Volunteers have always been extremely crucial and in urgent need for nonprofit organizations (NPOs) to sustain their continuing operations. However, it is expensive and time consuming to recruit volunteers using traditional approaches. In Web 2.0 era, the abundant and ubiquitous social media data open a door to the possibility of automatic volunteer identification. In this paper, we aim to fully explore this possibility by proposing a scheme, which is able to predict users' volunteerism tendency from user-generated contents collected from multiple social networks based on a conceptual volunteering decision model. We conducted comprehensive experiments as well as a user study to investigate the effectiveness of our proposed scheme, and further discussed its generalizibility and extendability. The novel interdisciplinary research will potentially inspire more promising and important human-centered applications.

Geoparsing and Geosemantics for Social Media: Spatio-Temporal Grounding of Content Propagating Rumours to support Trust and Veracity Analysis during Breaking News

In recent years there has been a growing trend to use publically available social media sources within the field of journalism. Breaking news has tight reporting deadlines, measured in minutes not days, but content must still be checked and rumours verified. As such journalists are looking at automated content analysis to pre-filter large volumes of social media content prior to more traditional manual verification techniques. This paper describes a real-time social media analytics framework for journalists. We extend our previously published geoparsing approach to improve its scalability and efficiency. We develop and evaluate a novel approach to geosemantic feature extraction, classifying evidence in terms of situatedness, timeliness, confirmation and validity. Our approach is not news story specific and works for new unseen event types. We report results from 4 experiments using 5 Twitter datasets crawled during different English-language news events. One of our datasets is the standard TREC 2012 microblog corpus. Our classification results are promising, with F1 scores varying by class from 0.64 to 0.92 for unseen event types. We lastly report results from two case studies looking at spatio-temporal grounding of rumours during real-world news stories, showcasing different ways our system can assist journalists in the verification process.

Probabilistic Models for Contextual Agreement in Preferences

The long tail theory for consumer demand implies the need for more accurate personalization technologies to target items to the users who most desire them. A key tenet of personalization is the capacity to model user preferences. Most of the previous work on recommendation and personalization has focused primarily on individual preferences. While some focus on shared preferences between pairs of users, they assume that the same similarity value applies to all items. Here we investigate the notion of "context", hypothesizing that while two users may agree on their preferences on some items, they may also disagree on other items. To model this, we design probabilistic models for the generation of rating differences between pairs of users across different items. Since this model also involves the estimation of rating differences on unseen items for the purpose of prediction, we further conduct a systematic analysis of matrix factorization and tensor factorization methods in this estimation, and propose a factorization model with a novel objective function of minimizing error in rating differences. Experiments on several real-life rating data sets show that our proposed models consistently yields context-specific similarity values that perform better on a prediction task than models relying on shared preferences.

Comparing Pointwise and Listwise Objective Functions for Random Forest based Learning-to-Rank

Current random forest (RF) based learning-to-rank (LtR) algorithms use a classification or regression framework to solve the ranking problem in a pointwise manner. The success of this simple yet effective approach coupled with the inherent parallelizability of the learning algorithm makes it a strong candidate for widespread adoption. In this paper we aim to better understand the effectiveness of these algorithms by comparing between pointwise and listwise objective functions. We introduce what we believe to be the first listwise version of an RF-based LtR algorithm. The algorithm directly optimizes an information retrieval metric of choice in a greedy manner. Computational complexity of the listwise approach is higher than the pointwise counterpart, hence for larger datasets, we design a hybrid algorithm which combines listwise and pointwise objective in each tree. Experimental results reveal that the listwise/hybrid algorithm outperforms the pointwise approach on the majority (but not all) of LtR datasets available. We then investigate several aspects of the two algorithms to better understand the inevitable performance trade-offs. This investigation suggests that for large LtR datasets the splitting criterion (implied by the objective function) is important particularly if small trees are learnt, but as the trees are grown large the advantage of the listwise approach diminishes relative to its pointwise counterpart.

TISON: Trust Inference in trust-oriented Social Networks

Trust systems represent a significant trend in decision support for social networks service provision. The basic idea is to allow users to rate each other even without being direct neighbors. In this case, the idea is to derive a trust score for a given user, which could be of help to decide whether trusting other users or not. In this paper, we investigate the properties of trust propagation on networks, based on the notion of transitivity, and we introduce the TISoN model to generate and evaluate Trust Inference within online Social Networks. To do so, (i) we develop a novel TPS algorithm for Trust Paths Searching where we define neighbors priority based on their direct trust degrees and then select trusted paths while controlling the path length and (ii) we develop different TIM algorithms for Trust Inference Measuring and build a trust network. In addition, we analyse existing algorithms and we demonstrate that our proposed model computes more reasonable transitive trust values than existing models. We conduct extensive experiments on a the real online social network dataset, Advogato dataset. Experimental results show that our work is scalable and generates better results than do the pioneering approaches of the literature.

Bibliometrics

Publication Years 1983-2016
Publication Count 616
Citation Count 18796
Available for Download 616
Downloads (6 weeks) 3480
Downloads (12 Months) 38007
Downloads (cumulative) 702241
Average downloads per article 1140
Average citations per article 31
First Name Last Name Award
Mark S Ackerman ACM Fellows (2013)
Charu Chandra Aggarwal ACM Fellows (2013)
Ricardo A Baeza-Yates ACM Fellows (2009)
Hal Berghel Outstanding Contribution to ACM Award (2000)
ACM Fellows (1998)
ACM Distinguished Service Award (1996)
Alan W Biermann ACM Fellows (2000)
Daniel Bobrow ACM Fellows (1994)
ACM Software System Award (1992)
ACM Programming Systems and Languages Paper Award (1974)
Kellogg S. Booth ACM Distinguished Member (2009)
ACM Senior Member (2009)
Alan H Borning ACM Fellows (2001)
Stuart K. Card ACM Fellows (2000)
John M Carroll ACM Fellows (2003)
Hsinchun Chen ACM Fellows (2015)
Charles L A Clarke ACM Distinguished Member (2015)
Fabio Crestani ACM Senior Member (2009)
Bruce Croft ACM Fellows (1997)
Ernesto Damiani ACM Distinguished Member (2008)
Paul Dourish ACM Fellows (2015)
Susan T Dumais ACM-W Athena Lecturer Award (2014)
ACM Fellows (2006)
Clarence A Ellis ACM Fellows (1998)
Ahmed Elmagarmid ACM Fellows (2012)
ACM Distinguished Member (2009)
Deborah Estrin ACM-W Athena Lecturer Award (2006)
ACM Fellows (2000)
Christos Faloutsos ACM Fellows (2010)
Gerhard Fischer ACM Fellows (2009)
Ophir Frieder ACM Fellows (2005)
Alvaro Barreiro Garcia ACM Senior Member (2009)
Hector Garcia-Molina ACM Fellows (1997)
C Lee Giles ACM Fellows (2006)
Calvin C. Gotlieb Outstanding Contribution to ACM Award (2011)
ACM Presidential Award (2002)
ACM Fellows (1994)
Georg Gottlob ACM Fellows (2007)
Irene Greif ACM Fellows (1997)
Jonathan Grudin ACM Fellows (2012)
Laura M Haas ACM Fellows (2006)
Wendy Hall Outstanding Contribution to ACM Award (2014)
ACM Fellows (2010)
Jonathan L Herlocker ACM Software System Award (2010)
Djoerd Hiemstra ACM Senior Member (2009)
Xian-Sheng Hua ACM Distinguished Member (2015)
ACM Senior Member (2009)
Yannis E Ioannidis ACM Fellows (2004)
Matthias Jarke ACM Fellows (2013)
Thorsten Joachims ACM Fellows (2014)
Min-Yen Kan ACM Senior Member (2009)
David Karger ACM Fellows (2009)
ACM Doctoral Dissertation Award (1994)
Won Kim ACM Distinguished Service Award (2001)
Joseph A Konstan ACM Software System Award (2010)
ACM Fellows (2008)
ACM Distinguished Member (2006)
Wessel Kraaij ACM Senior Member (2007)
Robert Kraut ACM Fellows (2011)
Michael E Lesk ACM Fellows (1996)
Raymond A Lorie ACM Fellows (2000)
ACM Software System Award (1988)
ACM Programming Systems and Languages Paper Award (1982)
David E. Losada ACM Senior Member (2011)
Yoelle Maarek ACM Fellows (2013)
ACM Distinguished Member (2010)
David Maier ACM Fellows (1998)
Gary Marchionini ACM Senior Member (2008)
Satoshi Matsuoka ACM Fellows (2011)
ACM Gordon Bell Prize (2011)
Kathryn Mckinley ACM Fellows (2008)
ACM Distinguished Member (2006)
ACM Senior Member (2006)
Stuart Edward Middleton ACM Senior Member (2014)
George Andrei Mihaila ACM Senior Member (2008)
Bradley N Miller ACM Software System Award (2010)
Eliot Moss ACM Fellows (2007)
Brad A Myers ACM Fellows (2005)
Mario A Nascimento ACM Senior Member (2007)
Hwee Tou Ng ACM Distinguished Member (2010)
Dianne P O'Leary ACM Distinguished Member (2006)
ACM Fellows (2006)
Gary M Olson ACM Fellows (2007)
Judith S Olson ACM-W Athena Lecturer Award (2011)
ACM Fellows (2008)
M. Tamer Ozsu ACM Fellows (2006)
Randy Pausch ACM Fellows (2007)
ACM Karl V. Karlstrom Outstanding Educator Award (2007)
David M Pennock ACM Senior Member (2006)
Roy F Rada ACM Fellows (1995)
Vijay V Raghavan ACM Distinguished Member (2012)
Paul J Resnick ACM Software System Award (2010)
John T Riedl ACM Software System Award (2010)
ACM Fellows (2009)
ACM Distinguished Member (2007)
George G Robertson ACM Fellows (2001)
S E Robertson ACM Fellows (2013)
Michael Rung-Tsong Lyu ACM Fellows (2015)
Daniela Rus ACM Fellows (2014)
Mehran Sahami ACM Presidential Award (2014)
Fabio A. Schreiber ACM Senior Member (2012)
Dennis E Shasha ACM Fellows (2013)
Frank Shipman ACM Distinguished Member (2009)
Ben Shneiderman ACM Fellows (1997)
Padhraic Smyth ACM Fellows (2013)
Michael Stonebraker A. M. Turing Award (2014)
ACM Fellows (1994)
ACM Software System Award (1988)
Richard N Taylor ACM Fellows (1998)
Jaime Teevan ACM Senior Member (2012)
Douglas B Terry ACM Fellows (2008)
Loren Terveen ACM Distinguished Member (2009)
Frank Wm Tompa ACM Fellows (2010)
C J Van Rijsbergen ACM Fellows (2003)
Roy Want ACM Fellows (2005)
Daniel Weld ACM Fellows (2005)
Kyu-Young Whang ACM Fellows (2009)
Steve Whittaker ACM Fellows (2014)
Jennifer Widom ACM-W Athena Lecturer Award (2015)
ACM Fellows (2005)
Terry Winograd ACM Fellows (2009)
Ian Witten ACM Fellows (1996)
Qiang Yang ACM Distinguished Member (2011)
Akinori Yonezawa ACM Fellows (1999)
Philip S Yu ACM Fellows (1997)
Stanley Zdonik ACM Fellows (2006)
Shumin Zhai ACM Fellows (2010)
ACM Distinguished Member (2006)
Shumin Zhai ACM Fellows (2010)
ACM Distinguished Member (2006)

First Name Last Name Paper Counts
Justin Zobel 8
William Croft 8
Hsinchun Chen 8
Tatseng Chua 7
Norbert Fuhr 7
Stavros Christodoulakis 6
Hector Garcia-Molina 6
Bin Cui 6
Kalervo Järvelin, 5
Gonzalo Navarro 5
Dennis Tsichritzis 5
Alistair Moffat 5
John Gould 5
Thomas, Malone 5
Roger King 5
Oren Kurland 4
John Leggett 4
Ophir Frieder 4
Dennis McLeod 4
Prasenjit Mitra 4
Hugh Williams 4
Susan Dumais 4
Ricardo Baeza-Yates 4
Ahmed Abbasi 4
Zi Huang 4
ChengXiang Zhai 4
Fabio Crestani 4
Maarten De Rijke 4
Kamfai Wong 4
Jimmy Lin 4
Hengtao Shen 4
Nieves Brisaboa 3
Robert Luk 3
Raffaele Perego 3
Fabrizio Silvestri 3
Henry Gladney 3
Matthias Jarke 3
Ge Nong 3
Roy Rada 3
Kuilam Kwok 3
Marjan Celikik 3
Eric Horvitz 3
Nívio Ziviani 3
Abraham Bookstein 3
Simon Gibbs 3
William Cohen 3
Edleno De Moura 3
Pavel Zezula 3
Cornelis Van Rijsbergen 3
Shmuel Klein 3
Jamie Callan 3
Ryen White 3
Wai Lam 3
Ben Shneiderman 3
Gary Marchionini 3
Dawei Song 3
Swapan Parui 3
Hannah Bast 3
Luis Gravano 3
Fausto Rabitti 3
Elisa Bertino 3
Abdur Chowdhury 3
Alexander Tuzhilin 3
Joseph Konstan 3
Amihai Motro 3
Heikki Keskustalo 3
Kumyew Lai 3
Luo Si 3
Christos Faloutsos 3
Ronny Lempel 2
Zhiting Hu 2
Quan Yuan 2
Gao Cong 2
Raymond Panko 2
Robert Krovetz 2
Vijay Raghavan 2
Rong Jin 2
Alan Hevner 2
Panagiotis Ipeirotis 2
Charles Wiecha 2
Warren Greiff 2
Seungwon Hwang 2
Mark Chignell 2
Fazli Can 2
Eric Jensen 2
Sakti Pramanik 2
Jiaul Paik 2
Mandar Mitra 2
Qiang Zhu 2
Kotagiri Ramamohanarao 2
Iadh Ounis 2
Wanda Orlikowski 2
Hong Cheng 2
William Webber 2
Fernando Diaz 2
David Carmel 2
Barbara Pernici 2
Xiaojun Wan 2
Jaana Kekäläinen 2
Carmel Domshlak 2
Leefeng Chien 2
Antonio Fariña, 2
Gediminas Adomavicius 2
Shibing Yao 2
Clayton Lewis 2
Peter Bruza 2
Zhaohui Zheng 2
Sudha Ram 2
Clyde Giles 2
Padmini Srinivasan 2
Weiyi Meng 2
Raymond Lau 2
Jaime Teevan 2
Fred Damerau 2
Laurence Park 2
Keke Chen 2
Nigel Shadbolt 2
Nick Craswell 2
Mark Sanderson 2
Elena Baralis 2
Paolo Garza 2
Edward Dang 2
Hui Yang 2
Chirag Shah 2
Lucy Suchman 2
Antonio Siochi 2
Steven Beitzel 2
Scott Hudson 2
Joemon Jose 2
Christopher Higgins 2
Mansur Kabuka 2
Nicole Yankelovich 2
Claudio Carpineto 2
Jianyun Nie 2
Shane Culpepper 2
Waihong Chan 2
Nat Ballou 2
Shipeng Li 2
Gautam Pant 2
Jonathan Grudin 2
Hui Xiong 2
Lillian Lee 2
John Riedl 2
Benjamin Piwowarski 2
Filip Radlinski 2
Ian Ruthven 2
Stefan Siersdorfer 2
Frank Tompa 2
Özgür Ulusoy 2
Frederick Lochovsky 2
Liqiang Nie 2
Darrell Woelk 2
Jinxi Xu 2
Mounia Lalmas 2
Yoelle Maarek 2
William Jones 2
Gordon Cormack 2
Arjen De Vries 2
Ronan Cummins 2
Dou Shen 2
Olivia Sheng 2
John Mylopoulos 2
George Fitzmaurice 2
Anthony Kaye 2
Paul Stotts 2
Qiang Yang 2
John Schnase 2
Douglas Terry 2
Jennifer Widom 2
Ismail Altingövde 2
Maria Fugini 2
Essam El-Kwae 2
Loren Terveen 2
Hochung Wu 2
John Carroll 2
Tao Mei 2
Javed Mostafa 2
Hongzhi Yin 2
Massimo Melucci 2
Pasquale Savino 2
Eepeng Lim 2
Hongyan Liu 2
Salvatore Orlando 2
Xiaofang Zhou 2
Edward Fox 2
Tao Tao 2
Jiantao Sun 2
Dimitris Papadias 2
Stephen Boies 2
Irwin King 2
Pável Calado 2
Richard Furuta 2
Hideki Koike 2
Susan Gauch 2
Manolis Koubarakis 2
Neil Rowe 2
Randall Trigg 2
Letizia Tanca 2
Marcel Reinders 2
Giovanni Romano 2
Jorge Garza 2
Won Kim 2
Stanley Zdonik 2
Berthier Ribeiro-Neto 2
Piero Fraternali 2
Paolo Paolini 2
Ling Feng 2
Brian Cooper 2
Sanda Harabagiu 2
Daniel Zeng 2
David Hawking 2
Michael Lyu 2
Thorsten Joachims 2
Carson Woo 2
David Hicks 2
Howard Turtle 2
Fatemeh Zahedi 1
John Tang 1
Mark Green 1
Philip Yu 1
Clement Yu 1
Oren Etzioni 1
Yuexian Hou 1
Jie Shao 1
Milad Shokouhi 1
Paul Thistlewaite 1
Jay Ponte 1
Yi Chang 1
Norman Delisle 1
Stan Lanning 1
Jongwook Kim 1
Qing Li 1
Steven Hoi 1
Célia Dos Santos 1
N Vujovic 1
Dragana Brzakovic 1
Stuart Card 1
Andreas Lemke 1
Gerhard Fischer 1
John Wilbur 1
Maarten Marx 1
Hsijian Lee 1
John Lafferty 1
Anders Bjornerstedt 1
Minyen Kan 1
ShiHuo Chang 1
Uffe Wiil 1
Philip Wu 1
Qiang Xue 1
Carole Hafner 1
David Elsweiler 1
Mark Baillie 1
Rafi Nachmias 1
Geoff Walsham 1
Jiajun Liu 1
Liming Ren 1
Jerry Farrell 1
Maria Hanrahan 1
Moshe Zloof 1
Vance Waddle 1
Calvin Gotlieb 1
Dan Moldovan 1
Giuseppe Sarné 1
Heidi Stettner 1
Wei Gao 1
Jianguo Xiao 1
Gregory Crane 1
Charles McClellan 1
Frank Safayeni 1
Maarten Clements 1
Xiangyu Wang 1
Heikki Hämmäinen 1
Douglas Vogel 1
Frank Hopfgartner 1
Ofer Egozi 1
Evgeniy Gabrilovich 1
Jintae Lee 1
Alexander Hars 1
Tim Bray 1
S Suthasinekul 1
G Chen 1
Noel O'Connor 1
Shaowei Liu 1
Wenwu Zhu 1
Jiashu Zhao 1
Lifeng Jia 1
Tsunghan Tsai 1
Artur Pessoa 1
Shay Kutten 1
Marcin Kaszkiel 1
Thomas Little 1
Radford Neal 1
Judith Olson 1
Gary Olson 1
Chris Schmandt 1
Hiroshi Ishii 1
Minoru Kobayashi 1
Vesper Owei 1
Jian Su 1
Xiaobing Xue 1
Padhraic Smyth 1
Teekiah Chia 1
Charalampos Chelmis 1
Javier Tejedor 1
Igor Szöke 1
Tung Bui 1
Augusto Celentano 1
Sushil Jajodia 1
Jennifer Eberhardt 1
Fabio Salice 1
Tsongli Wang 1
Mary Rosson 1
Jonathan Cohen 1
Kazem Taghva 1
Timo Raita 1
Sebastiano Vigna 1
John Guiver 1
Salvatore Garruzzo 1
Michael Stonebraker 1
Paulo Masiero 1
Marcelo Turine 1
Vasilis Delis 1
Diego Puppin 1
Wendy Lehnert 1
Sholom Weiss 1
Matteo Dell'Amico 1
Licia Capra 1
Woojin Paik 1
Frederik Transier 1
Thomas Lynam 1
Peter Sander 1
Andreas Oberweis 1
Sen Zhang 1
Yariv Aridor 1
Dave Straube 1
Nicola Ferro 1
ChengSeen Ho 1
Frank Walker 1
Andrea Tagarelli 1
Huanbo Luan 1
Clement Yu 1
Andrea Esuli 1
David Peleg 1
Jinhan Kim 1
Simon King 1
Xiaofeng Zhu 1
Hweetou Ng 1
Chengyu Hsieh 1
Mark Weal 1
Wendy Hall 1
Jordi Turmo 1
Anne Loomis 1
Tom Bruns 1
Carl Hewitt 1
Snehasis Mukhopadhyay 1
Derek Oppen 1
Stephen Pollock 1
Sten Andler 1
Roberto Maiocchi 1
Hongfei Yan 1
Shengqing Hu 1
Seunghoon Na 1
Mengren Qian 1
Manlung Yiu 1
Shiyang Lu 1
Mehrdad Mahdavi 1
Mehrnoush Shamsfard 1
Yizhou Sun 1
Bradley Skaggs 1
Bernard Haan 1
Stéphane Bressan 1
Philip Smith 1
Karthik Raman 1
Hongtai Chou 1
David Maier 1
Tieyan Liu 1
Sicong Zhang 1
Michael Cole 1
Sanna Kumpulainen 1
Ronald Lee 1
Cary Buchman 1
David Grossman 1
Richard Watson 1
Lihong Li 1
Venkat Rangan 1
Christopher Fry 1
Bernard Jansen 1
Mark Mydland 1
Christopher Shaw 1
Sergey Melnik 1
David Rosenblitt 1
Xiaozhao Zhao 1
John Shepherd 1
Zhongzhi Shi 1
Jonathan Gibbons 1
Gaewon You 1
Youngin Song 1
Zaiqing Nie 1
Steven Miller 1
Michael Littman 1
Mayer Schwartz 1
Gregg Foster 1
Akinori Yonezawa 1
Keld Bødker 1
Anders Mørch 1
Vasileios Hatzivassiloglou 1
Ulla Merz 1
Helene Hembrooke 1
Pierre Genevès 1
Nabil Layaïda 1
Amjad Daoud 1
Lenwood Heath 1
Deborah Hix 1
Manuel De Buenaga 1
Lars Söderlund 1
Matts Ahlsen 1
Lise Getoor 1
Hang Cui 1
L Leung 1
Timothy Hoad 1
Jie Han 1
Yannis Drougas 1
Max Van Kleek 1
Noa Gradovitch 1
Debra Gash 1
Jing Bai 1
Gunter Saake 1
Gerald Karam 1
Ravi Krishnamurthy 1
Thomas Landauer 1
Mark Weiser 1
Louis Gomez 1
Mehran Sahami 1
Joanne Claussen 1
Engin Demir 1
Anthony Tomasic 1
Dario Lucarella 1
Peter Schwarz 1
Stefano Mizzaro 1
José San Pedro 1
Tim Pohle 1
Peter Schäuble 1
Shimon Schocken 1
Murray Mazer 1
Elisa Quintarelli 1
Author index 1
Xiaofeng Guan 1
Shaul Markovitch 1
Bo Yang 1
Xiansheng Hua 1
Kuochu Lee 1
Walid Magdy 1
Il Im 1
Marianne Storrøsten 1
Yangchang Hong 1
Robert Nicholson 1
M Rashidian 1
Shiqiang Yang 1
Katja Hofmann 1
Michael Chau 1
Elad Yom-Tov 1
Klaus Schulz 1
Francisco Claude 1
Ángeles Places 1
Ben Carterette 1
Weigang Wang 1
Michal Rosen-Zvi 1
Chaitanya Chemudugunta 1
Sheng Gao 1
Satya Rachakonda 1
Catherine Plaisant 1
Ying Lu 1
Dick Bulterman 1
Yogen Dalal 1
Kaveh Pahlavan 1
Robert Neches 1
Zhengjun Zha 1
Stephanie Haas 1
Waynexin Zhao 1
Taklam Wong 1
Jiancong Tong 1
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Affiliation Paper Counts
Universidad de Santiago de Compostela 1
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Nanjing University 3
National Center for Biotechnology Information 3
Aalto University 3
Federal University of Amazonas 4
University of Sheffield 4
University of Geneva 4
National Taiwan University 4
Delft University of Technology 4
Singapore Management University 4
Boston University 4
Binghamton University State University of New York 4
IBM 4
University of Strathclyde 4
Karlsruhe Institute of Technology, Campus South 4
EURECOM Ecole d'Ingenieurs & Centre de Recherche en Systemes de Communication 4
Columbia University 4
University of Roma La Sapienza 4
University of Jyvaskyla 4
Fondazione Ugo Bordoni 4
Microsoft Research Cambridge 4
University of Illinois at Urbana-Champaign 5
University of Minnesota System 5
The University of British Columbia 5
The University of Western Ontario 5
Polytechnic Institute of Turin 5
Brno University of Technology 5
City University of Hong Kong 5
University of Southern California, Information Sciences Institute 5
University of Pittsburgh 5
Nankai University 5
Georgia Institute of Technology 5
University of Technology Sydney 5
University of Utah 5
IBM Haifa Labs 5
Pohang University of Science and Technology 5
University of Lugano 6
Duke University 6
Brown University 6
Renmin University of China 6
University of Washington Seattle 6
Xerox Corporation 6
University of Twente 6
Sun Yat-Sen University 6
National Chiayi University 6
Johannes Kepler University Linz 6
University of Freiburg 6
University of Chicago 6
University of Alberta 6
University at Buffalo, State University of New York 6
University of Padua 7
National Library of Medicine 7
Ohio State University 7
University of California, Irvine 7
Purdue University 7
Universidad de Chile 7
Bilkent University 7
Italian National Research Council 7
University of Virginia 7
University of California, Berkeley 7
Tsinghua University 7
University of Dortmund 7
Institute for Infocomm Research, A-Star, Singapore 8
IBM Almaden Research Center 8
The University of North Carolina at Chapel Hill 8
Federal University of Minas Gerais 9
Rutgers University 9
Michigan State University 9
Illinois Institute of Technology 10
Arizona State University 10
Hong Kong Polytechnic University 10
Indian Statistical Institute, Kolkata 10
University of Milan 10
Pennsylvania State University 11
Nanyang Technological University 11
New York University 11
Universidad de A Coruna 11
Istituto di Scienza e Tecnologie dell'Informazione A. Faedo 11
University of Amsterdam 12
Cornell University 12
Hong Kong University of Science and Technology 12
Texas A and M University 13
Telcordia Technologies, Inc. 13
Microsoft 13
University of Melbourne 13
Virginia Tech 13
Microsoft Research Asia 13
University of Southern California 14
University of Colorado at Boulder 15
Carnegie Mellon University 15
University of Minnesota Twin Cities 15
University of Waterloo 16
University of Toronto 16
University of Southampton 16
University of Glasgow 18
Peking University 18
Technion - Israel Institute of Technology 18
Yahoo Research Labs 19
Microelectronics Computer Technology Corporation 20
RMIT University 20
Politecnico di Milano 20
University of Queensland 21
Stanford University 22
University of Tampere 23
Microsoft Research 23
University of Massachusetts Amherst 24
National University of Singapore 24
Massachusetts Institute of Technology 24
Palo Alto Research Center 24
Chinese University of Hong Kong 25
University of Arizona 27
IBM Thomas J. Watson Research Center 32
University of Maryland 34

ACM Transactions on Information Systems (TOIS)
Archive


2016
Volume 34 Issue 2, February 2016  Issue-in-Progress

2015
Volume 34 Issue 1, October 2015
Volume 33 Issue 4, May 2015
Volume 33 Issue 3, March 2015
Volume 33 Issue 2, February 2015
Volume 33 Issue 1, March 2015 Special Issue on Contextual Search and Recommendation

2014
Volume 32 Issue 4, October 2014
Volume 32 Issue 3, June 2014
Volume 32 Issue 2, April 2014
Volume 32 Issue 1, January 2014

2013
Volume 31 Issue 4, November 2013
Volume 31 Issue 3, July 2013
Volume 31 Issue 2, May 2013
Volume 31 Issue 1, January 2013

2012
Volume 30 Issue 4, November 2012
Volume 30 Issue 3, August 2012
Volume 30 Issue 2, May 2012
Volume 30 Issue 1, February 2012

2011
Volume 29 Issue 4, December 2011
Volume 29 Issue 3, July 2011
Volume 29 Issue 2, April 2011

2010
Volume 29 Issue 1, December 2010
Volume 28 Issue 4, November 2010
Volume 28 Issue 3, June 2010
Volume 28 Issue 2, May 2010
Volume 28 Issue 1, January 2010

2009
Volume 27 Issue 4, November 2009
Volume 27 Issue 3, May 2009
Volume 27 Issue 2, February 2009

2008
Volume 27 Issue 1, December 2008
Volume 26 Issue 4, September 2008
Volume 26 Issue 3, June 2008
Volume 26 Issue 2, March 2008

2007
Volume 26 Issue 1, November 2007
Volume 25 Issue 4, October 2007
Volume 25 Issue 3, July 2007
Volume 25 Issue 2, April 2007
Volume 25 Issue 1, February 2007

2006
Volume 24 Issue 4, October 2006
Volume 24 Issue 3, July 2006
Volume 24 Issue 2, April 2006
Volume 24 Issue 1, January 2006

2005
Volume 23 Issue 4, October 2005
Volume 23 Issue 3, July 2005
Volume 23 Issue 2, April 2005
Volume 23 Issue 1, January 2005

2004
Volume 22 Issue 4, October 2004
Volume 22 Issue 3, July 2004
Volume 22 Issue 2, April 2004
Volume 22 Issue 1, January 2004

2003
Volume 21 Issue 4, October 2003
Volume 21 Issue 3, July 2003
Volume 21 Issue 2, April 2003
Volume 21 Issue 1, January 2003

2002
Volume 20 Issue 4, October 2002
Volume 20 Issue 3, July 2002
Volume 20 Issue 2, April 2002
Volume 20 Issue 1, January 2002

2001
Volume 19 Issue 4, October 2001
Volume 19 Issue 3, July 2001
Volume 19 Issue 2, April 2001
Volume 19 Issue 1, Jan. 2001

2000
Volume 18 Issue 4, Oct. 2000
Volume 18 Issue 3, July 2000
Volume 18 Issue 2, April 2000
Volume 18 Issue 1, Jan. 2000

1999
Volume 17 Issue 4, Oct. 1999
Volume 17 Issue 3, July 1999
Volume 17 Issue 2, April 1999
Volume 17 Issue 1, Jan. 1999

1998
Volume 16 Issue 4, Oct. 1998
Volume 16 Issue 3, July 1998
Volume 16 Issue 2, April 1998
Volume 16 Issue 1, Jan. 1998

1997
Volume 15 Issue 4, Oct. 1997
Volume 15 Issue 3, July 1997
Volume 15 Issue 2, April 1997
Volume 15 Issue 1, Jan. 1997

1996
Volume 14 Issue 4, Oct. 1996
Volume 14 Issue 3, July 1996
Volume 14 Issue 2, April 1996
Volume 14 Issue 1, Jan. 1996

1995
Volume 13 Issue 4, Oct. 1995 Special issue on video information retrieval
Volume 13 Issue 3, July 1995
Volume 13 Issue 2, April 1995
Volume 13 Issue 1, Jan. 1995

1994
Volume 12 Issue 4, Oct. 1994
Volume 12 Issue 3, July 1994
Volume 12 Issue 2, April 1994 Special issue on social science perspectives on IS
Volume 12 Issue 1, Jan. 1994

1993
Volume 11 Issue 4, Oct. 1993
Volume 11 Issue 3, July 1993
Volume 11 Issue 2, April 1993
Volume 11 Issue 1, Jan. 1993

1992
Volume 10 Issue 4, Oct. 1992 Special issue on user interface software and technology
Volume 10 Issue 3, July 1992
Volume 10 Issue 2, April 1992
Volume 10 Issue 1, Jan. 1992

1991
Volume 9 Issue 4, Oct. 1991
Volume 9 Issue 3, July 1991 Special issue on research and development in information retrieval
Volume 9 Issue 2, April 1991 Special issue on computer—human interaction
Volume 9 Issue 1, Jan. 1991

1990
Volume 8 Issue 4, Oct. 1990
Volume 8 Issue 3, July 1990
Volume 8 Issue 2, Apr. 1990
Volume 8 Issue 1, Jan. 1990

1989
Volume 7 Issue 4, Oct. 1989
Volume 7 Issue 3, July 1989
Volume 7 Issue 2, April 1989
Volume 7 Issue 1, Jan. 1989

1988
Volume 6 Issue 4, Oct. 1988
Volume 6 Issue 3, July 1988
Volume 6 Issue 2, April 1988
Volume 6 Issue 1, Jan. 1988

1987
Volume 5 Issue 4, Oct. 1987
Volume 5 Issue 3, July 1987
Volume 5 Issue 2, April 1987
Volume 5 Issue 1, Jan. 1987

1986
Volume 4 Issue 4, Oct. 1986
Volume 4 Issue 3, July 1986 Special issue: selected papers from the conference on office information systems
Volume 4 Issue 2, April 1986
Volume 4 Issue 1, Jan. 1986

1985
Volume 3 Issue 4, Oct. 1985
Volume 3 Issue 3, July 1985
Volume 3 Issue 2, April 1985
Volume 3 Issue 1, Jan. 1985

1984
Volume 2 Issue 4, Oct. 1984
Volume 2 Issue 3, July 1984
Volume 2 Issue 2, April 1984
Volume 2 Issue 1, Jan. 1984

1983
Volume 1 Issue 4, Oct. 1983
Volume 1 Issue 3, July 1983
Volume 1 Issue 2, April 1983
Volume 1 Issue 1, Jan. 1983
 
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