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Evaluating Quality in Use of Corporate Web Sites: An Empirical Investigation

In our prior work, we presented a novel approach to the evaluation of quality in use of corporate web sites based on an original quality model (QM-U) and a related methodology (EQ-EVAL). This article focuses on two research questions. The first one aims at investigating whether expected quality obtained through the application of EQ-EVAL... (more)

Localness of Location-based Knowledge Sharing: A Study of Naver KiN “Here”

In location-based social Q8A services, people ask a question with a high expectation that local residents who have local knowledge will answer the question. However, little is known about the locality of user activities in location-based social Q8A services. This study aims to deepen our understanding of location-based knowledge sharing... (more)

Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters

Microblogging sites like Twitter have become important sources of real-time information during... (more)

Completeness Management for RDF Data Sources

The Semantic Web is commonly interpreted under the open-world assumption, meaning that information available (e.g., in a data source) captures only a subset of the reality. Therefore, there is no certainty about whether the available information provides a complete representation of the reality. The broad aim of this article is to contribute a... (more)

Optimizing Whole-Page Presentation for Web Search

Modern search engines aggregate results from different verticals: webpages, news, images, video, shopping, knowledge cards, local maps, and so on.... (more)

Faster Base64 Encoding and Decoding Using AVX2 Instructions

Web developers use base64 formats to include images, fonts, sounds, and other resources directly inside HTML, JavaScript, JSON, and XML files. We... (more)

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About TWEB

The journal Transactions on the Web (TWEB) publishes refereed articles reporting the results of research on Web content, applications, use, and related enabling technologies.

The scope of TWEB is described on the Call for Papers page. Authors are invited to submit original research papers for consideration by following the directions on the Author Guidelines page.

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Forthcoming Articles
Understanding Cross-site Linking in Online Social Networks

Online social networks (OSNs) have become a commodity in people's daily life. Given the diverse focuses of different OSN services, a user often has accounts on multiple sites. In this paper, we study the emerging "cross-site linking" function, which is supported by a number of mainstream OSN services. To gain a deep and systematic understanding of this function, we first conduct a data-driven analysis by using crawled profiles and social connections of all 60+ million Foursquare users. Our analysis has shown that the cross-site linking function is adopted by 57.10% of all Foursquare users, and the users who have enabled this function are more active than other users. We have also found that users who are more concerned with online privacy have a lower probability to enable the cross-site linking function. By further exploring the cross-site links between Foursquare and leading OSN sites, we formalize the cross-site information aggregation problem. Using the massive data collected from Foursquare, Facebook and Twitter, we demonstrate the usefulness and challenges of cross-site information aggregation. In addition to measurements, we also carry out a survey to let users provide their detailed opinions about cross-site linking. The survey reveals why people choose to or not to enable cross-site linking, and investigates the motivation and concerns of enabling this function.

Exploiting usage to predict instantaneous app popularity: Trend filters and retention rates

The popularity of mobile apps is traditionally measured by metrics such as the number of downloads, installations, or user ratings. A problem with these measures is that they reflect usage only indirectly. We propose to exploit actual app usage statistics. Indeed, retention rates, i.e., the number of days users continue to interact with an installed app have been suggested to predict successful app lifecycles. We conduct the first independent and large-scale study of retention rates and usage trends on a database of app-usage data from a community of 339,842 users and more than 213,667 apps. Our analysis shows that, on average, applications lose 65% of their users in the first week, while very popular applications (top 100) lose only 35%. It also reveals, however, that many applications have more complex usage behavior patterns due to seasonality, marketing, or other factors. To capture such effects, we develop a novel app-usage trend measure which provides instantaneous information about the popularity of an application. Our analysis shows that roughly 40% of all apps never gain more than a handful of users (Marginal apps). Less than 0.4% of the remaining 60% are constantly popular (Dominant apps), 1% have a quick drain of usage after an initial steep rise (Expired apps), and 7% continuously rise in popularity (Hot apps). From these, we can distinguish, for instance, trendsetters from copycat apps. We conclude by demonstrating that usage behavior trend information can be used to develop better mobile app recommendations.

Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations

Website privacy policies are often long and difficult to understand. While research shows that Internet users care about their privacy, they do not have the time to understand the policies of every website they visit, and most users hardly ever read privacy policies. Some recent efforts have aimed to use a combination of crowdsourcing, machine learning, and natural language processing to interpret privacy policies at scale, thus producing annotations for use in interfaces that inform Internet users of salient policy details. However, little attention has been devoted to studying the accuracy of crowdsourced privacy policy annotations, how crowdworker productivity can be enhanced for such a task, and the levels of granularity that are feasible for automatic analysis of privacy policies. In this paper we present a trajectory of work addressing each of these topics. We include analyses of crowdworker performance, evaluation of a method to make a privacy-policy oriented task easier for crowdworkers, a coarse-grained approach to labeling segments of policy text with descriptive themes, and a fine-grained approach to identifying user choices described in policy text. Together, results from these efforts show the effectiveness of using automated and semi-automated methods for extracting from privacy policies the details that are salient to Internet users' interests.

Unsupervised Domain Ranking in Large-Scale Web Crawls

With the proliferation of web spam and infinite auto-generated web content, large-scale web crawlers require low-complexity ranking methods to effectively budget their limited resources and allocate bandwidth to reputable sites. To shed light on Internet-wide spam avoidance, we study topology-based ranking algorithms on domain-level graphs from the two largest academic crawls -- a 6.3B-page IRLbot dataset and a 1B-page ClueWeb09 exploration. We first propose a new methodology for comparing the various rankings and then show that in-degree BFS-based techniques decisively outperform classic PageRank-style methods, including TrustRank. However, since BFS requires several orders of magnitude higher overhead and is generally infeasible for real-time use, we propose a fast, accurate, and scalable estimation method called TSE that can achieve much better crawl prioritization in practice. It is especially beneficial in applications with limited hardware resources.

new phone, who dis? Modeling Millennials¿ Backup Behavior

Given the ever-rising frequency of malware attacks and other problems leading people to lose their files, backups are an important proactive protective behavior in which users can engage. Backing up files can prevent emotional and financial losses and improve overall user experience. Yet, we find that less than half of young adults perform mobile or computer backups at least every few months. To understand why, we model the factors that drive mobile and computer backup behavior, and changes in that behavior over time, using data from a panel survey of 384 diverse young adults. We develop a set of models that explain 37% and 38% of the variance in reported mobile and computer backup behaviors, respectively. These models show consistent relationships between Internet skills and backup frequency on both mobile and computer devices. We find that this relationship holds longitudinally: increases in Internet skills lead to increased frequency of computer backups. This paper provides a foundation for understanding what drives young adult's backup behavior. It concludes with recommendations for motivating people to back up and for future work modeling similar user behaviors.

Exploring and Analysing the African Web Ecosystem

It is well known that Africas Internet infrastructure is progressing at a rapid pace. A flurry of recent research has quantified this, highlighting the expansion of its underlying connectivity network. However, improving the infrastructure is not useful without appropriately provisioned services to exploit it. This paper measures the availability and utilisation of web infrastructure in Africa. Whereas others have explored web infrastructure in developed regions, we shed light on practices in developing regions. To achieve this, we apply a comprehensive measurement methodology to collect data from a variety of sources. We first focus on Google to reveal that its content infrastructure in Africa is, indeed, expanding. We, however, find that much of its web content is still served from the US and Europe, despite being the most popular website in many African countries. We repeat the same analysis across a number of other regionally popular websites to find that even national African websites prefer to host their content abroad. To explore the reasons for this, we evaluate some of the major bottlenecks facing content delivery networks (CDNs) in Africa. Amongst other things, we find a lack of peering between the networks hosting our probes, preventing the sharing of CDN servers, as well as poorly configured DNS resolvers. We conclude the work with a number of suggestions for alleviating the issues observed.

You, the Web and Your Device: Longitudinal Characterization of Browsing Habits

Understanding how people interact with the web is key for a variety of applications, e.g., from the design of effective web pages to the definition of successful online marketing campaigns. User browsing behavior has been traditionally represented and studied by means of clickstreams, i.e., graphs whose vertices are pages, and edges are the paths followed by users. Obtaining large and representative data to extract clickstreams is however challenging. The evolution of the web questions whether user behavior is changing and, by consequence, whether properties of clickstreams are changing. This paper presents a longitudinal study of clickstreams in the last 3 years. We capture an anonymized dataset of HTTP traces in a large ISP, where thousands of households are connected. We first propose a methodology to identify actual URLs requested by users from the massive set of requests automatically fired by browsers when rendering pages. Then, we characterize web usage patterns and clickstreams, taking into account both the temporal evolution and the impact of the device used to explore the web. Our analyses uncover and quantify interesting patterns, such as the increasing importance of social networks for content promotion in smartphones, the rather limited number of pages (on average less than 5 pages per day per active smartphone) visited by users while at home, or the impact of browser, with Internet Explorer users that visit half the content compared to Firefox or Chrome users. Finally, we contribute our dataset of anonymized clickstreams to the community to foster new studies.

A rule-based transducer for querying incompletely aligned datasets

A growing number of Linked Open Data sources (from diverse provenance and about different domains) are made available which can be freely browsed and searched to find and extract useful information. However, access to them is difficult for the users due to different aspects. This paper is mainly concerned with the heterogeneity aspect. It is quite common for datasets to describe the same or overlapped domains but using different vocabularies. This paper presents a transducer that transforms a SPARQL query, suitably expressed in terms of the vocabularies used in a source Dataset, into another SPARQL query, suitably expressed for a target Dataset supported by different vocabularies. The transducer obtains an acceptable transformation of the original query in order to increase the opportunities of getting answers even in case of adverse situations (such as those when no direct translation of terms seems possible). Perhaps it does not always preserve the semantics of the query, although it does not refuse to obtain an equivalent translation if it is at hand. Transformation across datasets is achieved through the management of a wide range of transformation rules. The feasibility of our proposal has been validated with a prototype implementation that processes queries that appear in well known benchmarks and SPARQL endpoint logs. Results of the experiments show that the system is quite effective achieving adequate transformations.

Web Portals for High Performance Computing: A Survey

This paper addresses web interfaces for High Performance Computing (HPC) simulation software. First, it presents a brief history, starting in the 90s with Java applets, of web interfaces used for accessing and making best possible use of remote HPC resources. Then this article reviews the present state of such HPC web-based portals. We identify and discuss the key features and constraints that characterize HPC portals. The design and development of Bull extreme factory Computing Studio v3 (XCS3) is chosen as a common thread for showing how these features can all be implemented in one software: multi-tenancy, multi-scheduler compatibility, HPC application template framework, complete control through an HTTP RESTful API, customizable user interface with Responsive Web Design, remote visualization, Role Base Access Control, and access through the Authentication, Authorization, and Accounting proven security framework. The paper concludes with the benefits of using such an HPC portal for both end-users and IT administrators.

Mining Abstract XML Data-Types

Schema matching is an indistinguishable part of various data engineering domains. The currently dominant standard of specifying schemas on the Web is the XML language. Since XML offers advanced modeling capabilities, schema grammars usually represent complex data models. Thus, the usage of schema matching approaches, which identify semantically similar complex XML data models, is vital in data engineering domains. However, the top-rated state-of-the-art matching approaches do not focus on the identification of semantically similar complex XML data models, but they simply match schema elements or combinations of schema elements. To fill in this gap in the literature, we represent schemas in a complete way (i.e. without discarding schema elements and relations) in order to be able to capture complex data models and we propose an automated approach that realizes the matching of complex data models by performing the following steps: (i) mining structural design patterns, usually encountered inside such data models, and (ii) matching the semantically similar ones. Since the traditional tree pattern mining and matching technique is computationally demanding and in some cases inefficient, our approach extends this technique with a pruning, an indexing, and a greedy technique for mining and matching patterns efficiently. The usage of the proposed efficiency techniques reduces the numbers of the mined patterns and the produced matchings. In particular, based on these techniques, our approach does not enumerate all possible patterns and matchings, but it enumerates only the best possible ones. To decide whether a pattern or a matching is better than another, these techniques calculate the confidences of patterns and matchings, respectively. The pattern and the matching confidences are calculated by using two suites of newly proposed metrics. We evaluate our approach in terms of its effectiveness (i.e. its capability in identifying semantically similar structural design patterns between different schemas) and its (time and space) efficiency. In particular, we evaluate the impact of the proposed pruning, indexing, and greedy techniques and of the suites of the (pattern and matching) confidence metrics on the efficiency and the effectiveness of our approach. We also evaluate the effectiveness variability of our approach (i.e. whether its effectiveness remains high in different schemas pairs). We use in our evaluation the schemas of the matching benchmark~\emph{XBenchMatch}, which has already been used for the joint evaluation of top-rated state-of-the-art matching approaches. Overall, the results of our evaluation show that the usage of structural design patterns helps our approach in matching complex XML data models effectively. Additionally, the proposed pruning, indexing, and greedy techniques and the suites of the (pattern and matching) confidence metrics succeed in keeping the effectiveness and the efficiency of our approach steadily high in various cases of schemas.

Imaginary People Representing Real Numbers: Generating Personas from Online Social Media Data

We develop a methodology to automate creating imaginary people, referred to as personas, by processing complex behavioral and demographic data of social media audiences. From a popular social media account containing more than 30 million interactions by viewers from 198 countries engaging with more than 4,200 online videos produced by a global media corporation, we demonstrate that our methodology has several novel accomplishments, including: (a) identifying distinct user behavioral segments based on the user content consumption patterns; (b) identifying impactful demographics groupings; and (c) creating rich persona descriptions by automatically adding pertinent attributes, such as names, photos, and personal characteristics. We validate our approach by implementing the methodology into an actual working system; we then evaluate it via quantitative methods by examining the accuracy of predicting content preference of personas, the stability of the personas over time, and the generalizability of the method via applying to two other datasets. Research findings show the approach can develop rich personas representing the behavior and demographics of real audiences using privacy preserving aggregated online social media data from major online platforms. Results have implications for media companies and other organizations distributing content via online platforms.

Test-Based Security Certification of Composite Services

The diffusion of service-based and cloud-based systems has brought to a scenario where software is often made available as services, offered as commodities over corporate networks or the global net. This scenario supports the definition of business processes as composite services, which are implemented via runtime composition of offerings provided by different suppliers. Fast and accurate evaluation of services' security properties becomes then a fundamental requirement. In this paper, we show how the verification of security properties of composite services can be handled by test-based security certification. Our approach builds on existing security certification schemes for monolithic services and extends them towards service compositions. It virtually certifies composite services, starting from certificates awarded to the component services. We describe three heuristic algorithms for generating runtime test-based evidence of the composite service holding the properties. These algorithms are compared with the corresponding exhaustive algorithm to evaluate their quality and performance. We also evaluate the proposed approach in a real-world industrial scenario, which considers ENGpay online payment system of Engineering Ingegneria Informatica S.p.A. The proposed industrial evaluation presents the utility and generality of the proposed approach by showing how certification results can be used as a basis to establish compliance to Payment Card Industry Data Security Standard (PCI DSS).

Top-k User-Defined Vertex Scoring Queries in Edge-Labeled Graph Databases

We consider identifying highly ranked vertices in large graph databases such as social networks or the Semantic Web where there are edge labels. There are many applications where users express scoring queries against such databases that involve two elements: (i) a set of patterns describing relationships that a vertex of interest to the user must satisfy, and (ii) a scoring mechanism in which the user may use properties of the vertex in order to assign a score to that vertex. We define the concept of a partial pattern map query (partial PM-query) which intuitively allows us to prune, and show that finding an optimal partial PM-query is NP-hard. We then propose two algorithms, PScore_LP and PScore_NWST, to find the answer to a scoring (top-k) query. In PScore_LP, the optimal partial PM-query is found using a list-oriented pruning method. PScore_NWST leverages Node-Weighted Steiner Trees to quickly compute slightly sub-optimal solutions. We conduct detailed experiments comparing our algorithms with (i) an algorithm (PScore_Base) that computes all answers to the query, evaluates them according to the scoring method, and chooses the top-k, and (ii) two Semantic Web query processing systems (Jena and GraphDB). Our algorithms show better performance than PScore_Base and the Semantic Web query processing systems  moreover, PScore_NWST outperforms PScore_LP on large queries and on queries with a tree structure.

Bibliometrics

Publication Years 2007-2018
Publication Count 246
Citation Count 2607
Available for Download 246
Downloads (6 weeks) 1416
Downloads (12 Months) 16292
Downloads (cumulative) 195082
Average downloads per article 793
Average citations per article 11
First Name Last Name Award
Mark S Ackerman ACM Fellows (2013)
Ricardo A Baeza-Yates ACM Fellows (2009)
Massimo Bernaschi ACM Gordon Bell Prize
National Research Council of Italy (2011) ACM Gordon Bell Prize
National Research Council of Italy (2011)
Elisa Bertino ACM Fellows (2003)
Maria Bielikova ACM Senior Member (2009)
Dan Boneh ACM Fellows (2016)
ACM Prize in Computing (2014)
Athman Bouguettaya ACM Distinguished Member (2012)
ACM Senior Member (2007)
Andrei Broder ACM Paris Kanellakis Theory and Practice Award (2012)
ACM Fellows (2007)
Carlos A. Castillo ACM Senior Member (2014)
Stefano Ceri ACM Fellows (2013)
Chen-Nee Chuah ACM Distinguished Member (2012)
ACM Senior Member (2006)
Lorrie Faith Cranor ACM Fellows (2014)
ACM Senior Member (2006)
Ernesto Damiani ACM Distinguished Member (2008)
Schahram Dustdar ACM Distinguished Member (2009)
Christos Faloutsos ACM Fellows (2010)
Elena Ferrari ACM Distinguished Member (2011)
Ophir Frieder ACM Fellows (2005)
Hector Garcia-Molina ACM Fellows (1997)
Lee Giles ACM Fellows (2006)
Vicki Hanson ACM Fellows (2004)
Simon Harper ACM Distinguished Member (2014)
ACM Senior Member (2009)
Monika Henzinger ACM Fellows (2016)
Djoerd Hiemstra ACM Senior Member (2009)
Eric Horvitz ACM AAAI Allen Newell Award (2015)
ACM Fellows (2014)
Bernard Jansen ACM Senior Member (2017)
Craig Knoblock ACM Fellows (2017)
ACM Distinguished Member (2008)
Ming Li ACM Fellows (2006)
Bing Liu ACM Fellows (2015)
Yiqun Liu ACM Senior Member (2016)
Dmitri Loguinov ACM Distinguished Member (2014)
ACM Senior Member (2007)
Filippo Menczer ACM Distinguished Member (2013)
Renee J Miller ACM Fellows (2009)
Mourad Ouzzani ACM Senior Member (2009)
Jian Pei ACM Fellows (2015)
ACM Senior Member (2007)
Ali Pinar ACM Distinguished Member (2015)
ACM Senior Member (2011)
Prabhakar Raghavan ACM Fellows (2001)
Naren Ramakrishnan ACM Distinguished Member (2009)
John T Riedl ACM Software System Award (2010)
ACM Fellows (2009)
ACM Distinguished Member (2007)
Michael Rung-Tsong Lyu ACM Fellows (2015)
Prashant J Shenoy ACM Distinguished Member (2009)
ACM Senior Member (2006)
Asser N Tantawi ACM Senior Member (2014)
Ingmar Weber ACM Senior Member (2017)
Xing Xie ACM Senior Member (2010)
Qiang Yang ACM Fellows (2017)
ACM Distinguished Member (2011)
Philip S Yu ACM Fellows (1997)
Lixia Zhang ACM Fellows (2006)
Ben Y. Zhao ACM Distinguished Member (2015)
Yu Zheng ACM Distinguished Member (2016)
ACM Senior Member (2011)
Yu Zheng ACM Distinguished Member (2016)
ACM Senior Member (2011)

First Name Last Name Paper Counts
İsmail Altıngövde 6
Ryen White 5
Berkant Cambazoglu 4
Wolfgang Nejdl 4
Xing Xie 4
Ingmar Weber 4
Weiying Ma 4
Rifat Ozcan 3
Ling Liu 3
Anirban Mahanti 3
Ricardo Baeza-Yates 3
Ben Zhao 3
Enhong Chen 3
Markus Strohmaier 3
Fabio Casati 3
Weiyi Meng 3
Özgür Ulusoy 3
Nikolay Mehandjiev 2
Aphrodite Tsalgatidou 2
Eric Horvitz 2
Piero Fraternali 2
Barry Smyth 2
Marco Brambilla 2
Xiangye Xiao 2
Giuseppe Pirró 2
Andreas Hotho 2
Boualem Benatallah 2
Ziv Bar-Yossef 2
Yu Zheng 2
Sergiu Chelaru 2
Haitao Zheng 2
Gang Wang 2
Prashant Shenoy 2
Philip Yu 2
Phillipa Gill 2
Carey Williamson 2
Mudhakar Srivatsa 2
Bernard Jansen 2
Niklas Carlsson 2
Cristóbal Arellano 2
Freddy Lécué 2
Florian Daniel 2
Óscar Díaz 2
Eda Baykan 2
Qiong Luo 2
Cornelia Caragea 2
Michele Bugliesi 2
Stefano Calzavara 2
James Miller 2
Eepeng Lim 2
Marco Aiello 2
Fidel Cacheda 2
Alessandro Bozzon 2
Denis Helic 2
Philipp Singer 2
Nikos Mamoulis 2
Monika Henzinger 2
Andrei Broder 2
Clement Yu 2
Christo Wilson 2
Clyde Giles 2
Niloy Ganguly 2
Stefan Siersdorfer 2
Saptarshi Ghosh 2
Claudio Gutiérrez 1
Masashi Crete-Nishihata 1
Jakub Dalek 1
Elisa Bertino 1
Martin Wimmer 1
Carlos Castillo 1
Debora Donato 1
Anupam Joshi 1
Harald Weinreich 1
Matthias Mayer 1
Sara Comai 1
Giovanni Toffetti 1
Javier Parra-Arnau 1
Jian Yang 1
Pablo Castells 1
Akhmed Umyarov 1
Haining Wang 1
Chris Cornelis 1
Hongmin Cai 1
Tianqiang Huang 1
Euiseong Seo 1
Carole Goble 1
Halvard Skogsrud 1
Hana Shepherd 1
Sara Comai 1
Yiqun Liu 1
Shaoping Ma 1
Ali Mesbah 1
Stefan Lenselink 1
Gilad Mishne 1
Lance Riedel 1
Vanja Josifovski 1
Tong Zhang 1
Giridhar Kumaran 1
Wenting Tu 1
Juan Fernández-Luna 1
Houari Sahraoui 1
John Hurley 1
Giovanni Grasso 1
Christian Schallhart 1
Irene Garrig'os 1
Xianchao Zhang 1
Mustafa Dincturk 1
Adam Senft 1
Sangkeun Park 1
Wojciech Muła 1
Giovanni Guida 1
Fariz Darari 1
Werner Nutt 1
Stefan Krompass 1
Emmanuel Chauveau 1
Belle Tseng 1
Neil Yorke-Smith 1
Djoerd Hiemstra 1
Kyungbaek Kim 1
Jianwei Gan 1
Aleksandar Kuzmanovic 1
Weifeng Su 1
Hejun Wu 1
Alexander Lazovik 1
Peter Moulder 1
Nathan Hurst 1
Krishna Puttaswamy 1
Youngjae Kim 1
Khalid Belhajjame 1
Norman Paton 1
Régis Saint-Paul 1
Florian Geigl 1
Huiyuan Zheng 1
Aojan Su 1
Lu Zhang 1
Marco Anisetti 1
Jing Zhao 1
Manishkumar Jha 1
Ivan Budiselić 1
Renan Cattelan 1
Gregorio Ponce 1
Jacobus Van Der Merwe 1
Renata Fortes 1
Micah Dubinko 1
Ravi Kumar 1
Nicholas Jennings 1
Santo Fortunato 1
Alessandro Vespignani 1
Souneil Park 1
Aleksandar Matic 1
Nicola Barbieri 1
Paolo Boldi 1
Giovanni Pacifici 1
Qingyao Wu 1
Zhaoxing Li 1
Shaoping Zhu 1
Wenxin Liang 1
Iheb Amor 1
Saikat Mukherjee 1
Vinod Muthusamy 1
Maja Pešić 1
Federico Chesani 1
Dmitri Loguinov 1
Gabriele Tolomei 1
Cinzia Cappiello 1
Maristella Matera 1
Zhiyuan Su 1
Ming Li 1
Daxin Jiang 1
Jing Jiang 1
Wenpeng Sha 1
Peng Huang 1
Sangkeun Lee 1
Comandur Seshadhri 1
Elad Kravi 1
Jesus Bellido 1
Flavio Junqueira 1
Georgia Koutrika 1
Pasquale Minervini 1
Debra VanderMeer 1
Barbara Poblete 1
Zhisheng Li 1
Vicente Pelechano 1
Chris Grier 1
Shuo Tang 1
Emi Garcia-Palacios 1
Nan Mou 1
Wenxin Liang 1
Greg Wiseman 1
Federica Paci 1
Mourad Ouzzani 1
Dimitris Zeginis 1
Tim Finin 1
Bo Yang 1
Jiming Liu 1
Yuru Lin 1
Boi Faltings 1
Jagdish Achara 1
Massimo Bernaschi 1
Daniel Zoller 1
Thomas Niebler 1
Weifeng Su 1
Yaoyi Chiang 1
Matthias Bröcheler 1
Michael Sirivianos 1
Diego Fernández 1
Francesco Saonara 1
Ehsan Warriach 1
Weiming Hu 1
Alessandra Sala 1
Suzanne Embury 1
Marian Dörk 1
Davide Mazza 1
Ophir Frieder 1
Liyun Ru 1
Arie Van Deursen 1
Frank Neven 1
Francisco Claude 1
Cherian Mathew 1
Pınar Karagöz 1
Qi Liu 1
Allen Lavoie 1
Leila Bahri 1
Alexey Drutsa 1
Haining Wang 1
Angelos Stavrou 1
Mohamed Kaafar 1
Jeonhyung Kang 1
Alessandro Giuliani 1
Cevdet Aykanat 1
Xuanhieu Phan 1
Bruno Crispo 1
Thomas Johnston 1
Sara Foresti 1
Pierangela Samarati 1
Rahul Singh 1
Mohammad Alrifai 1
Valeria De Antonellis 1
Xiaodi Huang 1
Rosa Alarcón 1
Reza Sherkat 1
Ingo Weber 1
Flavio Lombardi 1
Frans Effendi 1
Keqiu Li 1
Jeaho Hwang 1
Joonwon Lee 1
Seunghwan Ryu 1
Michael Schäfer 1
Dan Hong 1
Hongbo Fu 1
Sheelagh Carpendale 1
James Thom 1
Yuval Merhav 1
Weize Kong 1
Peter Bailey 1
Gonzalo Navarro 1
Sebastiano Vigna 1
Mike Spreitzer 1
Bernardo Huberman 1
Jiaqian Gu 1
Huaqing Min 1
Dariusz Mokwa 1
Ram Gopal 1
Ram Ramesh 1
John Dunagan 1
Saher Esmeir 1
Uwe Zdun 1
Schahram Dustdar 1
Mikhail Bilenko 1
Yukun Chen 1
Wil Van Der Aalst 1
Marco Comuzzi 1
Hsintsang Lee 1
Xiaodong Wang 1
Krishna Gummadi 1
Stefano Ceri 1
Taklam Wong 1
Yafei Dai 1
Junghyun Lee 1
Pablo Pereira 1
Dominik Deja 1
Sukru Eraslan 1
Barbara Carminati 1
Bolun Wang 1
Sergio Rojas-Galeano 1
Mohammad Rahman 1
B Prakash 1
Rahul Balakavi 1
Simon Gottschalk 1
Ahmet Sarıyüce 1
Mária Bieliková 1
Giorgos Margaritis 1
Yan Wang 1
Pawan Goyal 1
Simon Razniewski 1
Makoto Yamada 1
Vassiliki Koutsonikola 1
Massimo Mecella 1
Vassilis Christophides 1
Athman Bouguettaya 1
Andreas Scholz 1
Stefano Leonardi 1
Boanerges Aleman-Meza 1
Amit Sheth 1
Thomas Lavergne 1
Hartmut Obendorf 1
Franco Frattolillo 1
Guangyou Zhou 1
Bojana Bislimovska 1
Andrea Pugliese 1
Chengkok Koh 1
Iván Cantador 1
John Riedl 1
Vreixo Formoso 1
Alexander Tuzhilin 1
Nele Verbiest 1
Frederick Lochovsky 1
Lei Shi 1
Ivan Zuzak 1
Jennifer Golbeck 1
Adam Barth 1
Andrew Bortz 1
Denilson Barbosa 1
Filippo Geraci 1
Ian Reay 1
Scott Dick 1
Amruta Joshi 1
Cecilia Curlango-Rosas 1
Gabriel López-Morteo 1
Hussein Alzoubi 1
Jing Wang 1
Stephen Hardiman 1
Prasenjit Mitra 1
Bharath Mohan 1
Prabhakar Raghavan 1
Sujatha Gollapalli 1
Esther David 1
Yuanzhuo Wang 1
Rossano Gaeta 1
Lada Adamic 1
Wei Wei 1
Xiaogang Han 1
Yuanhong Shen 1
Rafael Lins 1
Helen Wang 1
Charles Reis 1
Mauro Andreolini 1
Jian Yin 1
Paola Mello 1
Sergio Storari 1
Xinxin Fan 1
Sihyung Lee 1
Zhen Liao 1
Silvia Quarteroni 1
Paul Thomas 1
Ahmed Hassan 1
Guangming Guo 1
Stefano Tranquillini 1
Pavel Kucherbaev 1
Daiping Liu 1
Prasant Mohapatra 1
Enver Kayaaslan 1
Mauro Conti 1
Arbnor Hasani 1
Jiawei Han 1
Timothy Wood 1
Thomas Risse 1
Luca Aiello 1
Alain Barrat 1
Benjamin Markines 1
Ümit Çatalyürek 1
Alessandro Celestini 1
Nilanjan Banerjee 1
Vanessa Murdock 1
Zoltán Gyöngyi 1
Einat Amitay 1
Claudia D'Amato 1
Brett Adams 1
Svetha Venkatesh 1
Mayank Agrawal 1
Ivan Srba 1
Alex Rogers 1
Xueqi Cheng 1
Karen Church 1
Yonghui Xu 1
Jialiang Shi 1
Brahim Medjahed 1
Opher Dubrovsky 1
Sara Casolari 1
Michele Colajanni 1
Quannan Li 1
Jian Pei 1
Yalou Huang 1
Roberto Vivó 1
A Vural 1
Rumen Kyusakov 1
Radosław Nielek 1
Feida Zhu 1
Le Wu 1
Malik Magdon-Ismail 1
Natalia Kwasnikowska 1
Changai Sun 1
Divya Sambasivan 1
Yongjae Lee 1
Lei Li 1
Silvia Uribe 1
Eloisa Vargiu 1
Giuliano Armano 1
Natsuda Kaothanthong 1
Eleni Koutrouli 1
Jing Li 1
Hyeyoung Paik 1
Cássio Prazeres 1
Xinyi Zhang 1
Aidan Hogan 1
Jie Zhang 1
Matthew Richardson 1
Min Yang 1
Mariano Consens 1
Samueltalmadge King 1
Kaweh Naini 1
Seungwon Hwang 1
Yuxiong He 1
Seungjin Choi 1
Yi Qian 1
Sven Casteleyn 1
Stergios Anastasiadis 1
Stefano Soi 1
Peter Dolog 1
Idit Keidar 1
Dan Boneh 1
Manolis Koubarakis 1
Hady Lauw 1
Guangyu Zhu 1
Yon Dourisboure 1
Evgeniy Gabrilovich 1
Stijn Vansummeren 1
Ydo Wexler 1
Darko Kirovski 1
Bing Liu 1
Ana Dias 1
Naren Ramakrishnan 1
Joseph Magnani 1
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Miguel Serrano 1
Hailun Lin 1
Kamini Garg 1
Massimo Santini 1
Kweijay Lin 1
Hengjie Song 1
Jianshu Weng 1
Xinyu Wang 1
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Mourad Ouziri 1
Zaki Malik 1
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Shiva Ramanna 1
Salvatore Orlando 1
Lidong Bing 1
Brian Beirne 1
Ali Neyestani 1
Badr Atassi 1
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Maria Rafalak 1
Simon Harper 1
Christos Faloutsos 1
Pavel Serdyukov 1
Haitao Xu 1
Elena Demidova 1
Partha Mukherjee 1
José Menéndez 1
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Rossano Schifanella 1
Ciro Cattuto 1
Filippo Menczer 1
Min Zhang 1
Wouter Gelade 1
Ashwin Swaminathan 1
Liran Katzir 1
Willianmassami Watanabe 1
Roi Blanco 1
Andrea Marino 1
Tao Yu 1
Asser Tantawi 1
Paul Cotter 1
Nishida Toyoaki 1
Jianke Zhu 1
Maciej Drozdowski 1
Rik Eshuis 1
Muhammad Zafar 1
Matteo Picozzi 1
Yang Zhou 1
Hang Li 1
Xiaolin Wang 1
Xihui Chen 1
Jun Pang 1
Ran Xue 1
Michał Kąkol 1
Tianyi Wang 1
Zengbin Zhang 1
Chennee Chuah 1
Federico Álvarez 1
Suranga Seneviratne 1
Kristina Lerman 1
Simon Jonassen 1
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Sangameshwar Patil 1
Harrick Vin 1
Michele Melchiori 1
Robin Burke 1
A Panagopoulos 1
André Rocha 1
Paul Heymann 1
Qi Liu 1
Yining Liu 1
Cristyan Manta-Caro 1
Ghazwa Malak 1
Linda Badri 1
Falk Scholer 1
Siddharth Mitra 1
Pedro Valderas 1
Michael Schrefl 1
Yehoshua Sagiv 1
Fatemeh Vahedian 1
Christo Wilson 1
Qian Lin 1
Stefano Guarino 1
Soumi Chattopadhyay 1
Fabrizio Silvestri 1
Hector Garcia-Molina 1
Alissa Cooper 1
Xuesong Wang 1
David Cheung 1
Dinh Phung 1
Amit Yadav 1
Derek Eager 1
Sakir Sezer 1
Michael Huemer 1
Sameh Elnikety 1
Jose Maz'on 1
Gregor Bochmann 1
Iosif Onut 1
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Muhan Zhang 1
Sharon Goldberg 1
Mingdong Tang 1
Pengyuan Wang 1
Daniel Gmach 1
Alfons Kemper 1
Tanguy Urvoy 1
Pascal Filoche 1
Yun Chi 1
Arjun Talwar 1
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Sergio Duarte Torres 1
VS Subrahmanian 1
Ying Hu 1
Alejandro Bellogín 1
Víctor Carneiro 1
Li Zhang 1
Eirini Kaldeli 1
Raju Balakrishnan 1
Vicki Hanson 1
John Richards 1
Goran Delac 1
Tye Rattenbury 1
Collin Jackson 1
Islam Elgedawy 1
Valeria Fionda 1
Kenneth Fletcher 1
Haibin Zhang 1
Uichin Lee 1
Koustav Rudra 1
Yue Wang 1
Dawei Yin 1
Luo Jie 1
Ludmila Marian 1
Craig Knoblock 1
Ïsmaïlcem Arpinar 1
Mishari Almishari 1
Xiaowei Yang 1
Florent Garcin 1
Suleyman Kozat 1
Thomi Pilioura 1
Bhaskar DasGupta 1
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Simon Walk 1
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Xiaowei Yang 1
Yangqiu Song 1
Chuan Yue 1
Martine Cock 1
Yafei Li 1
Subbarao Kambhampati 1
Ou Wu 1
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Uri Schonfeld 1
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Ke Wang 1
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Keith Bradley 1
Qiang Yang 1
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Filipe Mesquita 1
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Marco Pellegrini 1
Han Liu 1
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Martin Arlitt 1
Maxim Gurevich 1
Seungjoon Lee 1
Oliver Spatscheck 1
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Andrew Tomkins 1
Jasmine Novak 1
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Yantao Jia 1
Xiaolong Jin 1
Nuria Oliver 1
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Jure Leskovec 1
Chunyan Miao 1
Zibin Zheng 1
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Salima Benbernou 1
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Raj Sharman 1
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Arun Iyengar 1
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Aruna Seneviratne 1
Cam Nguyen 1
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Tim Weninger 1
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Xianchao Zhang 1
Zan Sun 1
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IV Ramakrishnan 1
Silviu Cucerzan 1
Guoli Li 1
Marco Montali 1
Derek Leonard 1
Andrew Tappenden 1
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Jamie Callan 1
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Wai Lam 1
Luis Leiva 1
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Chu Guan 1
Yeliz Yeşilada 1
Sanmay Das 1
Luc Moreau 1
Jan Bussche 1
Xing Li 1
Jinyoung Han 1
Yasuko Matsubara 1
Gleb Gusev 1
Anna Squicciarini 1
Claude Castelluccia 1
Sabrina De Capitani Di Vimercati 1
Eliyahu Safra 1
Cesare Pautasso 1
Chang Xu 1
Ansuman Banerjee 1
Ming He 1
Volker Tresp 1
Yong Liu 1
Yanming Shen 1
Mourad Badri 1
Flavio Rizzolo 1
Alejandro Vaisman 1
Andrew Turpin 1
Lorrie Cranor 1
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Sibel Adalı 1
You Wang 1
Guy Jourdan 1
Ya Zhang 1
Qi Yu 1
Luca Becchetti 1
Eelco Herder 1
Hari Sundaram 1
Michail Vlachos 1
Eduard Dragut 1
Liwei Liu 1
Michael Paul 1
Guibing Guo 1
Jie Zhang 1
Wensheng Wu 1
Zhengxin Ma 1
Claudio Ardagna 1
Ernesto Damiani 1
Patricia Victor 1
Maider Azanza 1
Kim Marriott 1
Ben Zhao 1
Myeongjae Jeon 1
Wouter Weerkamp 1
Maarten De Rijke 1
Aameek Singh 1
Mor Naaman 1
Weizhong Shao 1
Waigen Yee 1
Ali Pınar 1
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Aristides Gionis 1
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Yong Ge 1
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Athena Vakali 1
Yannis Tzitzikas 1
Rattapoom Tuchinda 1
Pedro Szekely 1
Meenakshi Nagarajan 1
Li Ding 1
Junichi Tatemura 1
Radu Jurca 1
Jose Pedro 1

Affiliation Paper Counts
Aalborg University 1
Istituto di Scienza e Tecnologie dell'Informazione A. Faedo 1
University of Sannio 1
Hunan University of Science and Technology 1
Free University of Bozen-Bolzano 1
Siemens USA 1
Seoul Women's University 1
Oak Ridge National Laboratory 1
IBM India Research Laboratory 1
Beihang University 1
Illinois Institute of Technology 1
Temple University 1
Nanyang Technological University School of Computer Engineering 1
Max Planck Institute for Informatics 1
Cyprus University of Technology 1
City University London 1
University of Colorado at Colorado Springs 1
Turgut Ozal University 1
Federal Technological University of Parana 1
Koc University 1
University of Edinburgh 1
South National University 1
Kassel University 1
University of Cambridge 1
Boston University 1
University of Indonesia 1
Computer Sciences Corporation in Deutschland 1
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Hebrew University of Jerusalem 1
University of Magdeburg 1
University of Buenos Aires 1
Rice University 1
IBM Zurich Research Laboratory 1
IBM Almaden Research Center 1
Universitat de Barcelona 1
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Wroclaw University of Science and Technology 1
European Organization for Nuclear Research 1
Hefei University of Technology 1
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Federal University of Uberlandia 1
Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India 1
Vrije Universiteit Amsterdam 1
Hong Kong Baptist University 1
Intel Corporation 1
Georgetown University 1
Universidad Jaume I 1
Johns Hopkins University 1
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University of Applied Sciences and Arts of Southern Switzerland 1
San Diego State University 1
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Bar-Ilan University 1
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Central China Normal University 1
University of Connecticut 1
University of Ferrara 1
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China University of Mining Technology 1
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Nanjing University 1
University of California, Santa Cruz 1
University of Saskatchewan 1
Orange Labs 1
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IBM Canada Ltd. 1
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University of Arizona 1
Fujian Normal University 1
IBM Ireland Limited 1
University of Padua 1
Princeton University 1
Indian Institute of Science, Bangalore 1
Chonnam National University 1
Siemens AG 1
Charles Sturt University 1
Rutgers, The State University of New Jersey 2
Wright State University 2
Sungkyunkwan University 2
Missouri University of Science and Technology 2
University of Vienna 2
University of Dundee 2
Linkoping University 2
Pontificia Universidad Catolica de Chile 2
University of Amsterdam 2
Simon Fraser University 2
University of Ioannina 2
Huazhong University of Science and Technology 2
IBM Research 2
University of Calabria 2
University of Twente 2
University of North Texas 2
Case Western Reserve University 2
University of Montreal 2
University of Michigan 2
Duke University 2
University of Southern California, Information Sciences Institute 2
Aristotle University of Thessaloniki 2
Izmir University 2
Sandia National Laboratories, California 2
University of Maryland, Baltimore County 2
Slovak University of Technology in Bratislava 2
Washington University in St. Louis 2
Kyoto University 2
Sun Yat-Sen University 2
Vienna University of Technology 2
Northeastern University 2
Tata Research Development and Design Centre 2
University of Sao Paulo 2
Johannes Kepler University Linz 2
Telefonica 2
Jilin University 2
University of Lugano 2
Federal University of Bahia 2
Federal University of Pernambuco 2
Qatar Computing Research institute 2
University of Cagliari 2
Tohoku University 2
University of Bergamo 2
Nankai University 2
University of California, Los Angeles 2
Universitat d'Alicante 2
University Michigan Ann Arbor 2
University of Delaware 2
George Mason University 2
Indiana University 2
CSIRO Data61 2
University of Quebec in Trois-Rivieres 2
Indian Statistical Institute, Kolkata 2
Kumamoto University 2
Delft University of Technology 3
France Telecom Division Recherche et Developpement 3
New York University 3
Max Planck Institute for Software Systems 3
University of Zagreb 3
Gottfried Wilhelm Leibniz Universitat 3
Chinese University of Hong Kong 3
GESIS - Leibniz Institute for the Social Sciences 3
Universidad de Chile 3
University College Dublin 3
University of Roma La Sapienza 3
Institute for Scientific Interchange Foundation 3
University at Buffalo, State University of New York 3
Purdue University 3
The University of Georgia 3
Monash University 3
Curtin University of Technology, Perth 3
University of Modena and Reggio Emilia 3
Indian Institute of Technology, Delhi 3
Queen's University Belfast 3
University of Oxford 3
University of Luxembourg 3
Binghamton University State University of New York 3
University of Insubria 3
Korea Advanced Institute of Science & Technology 3
University of Bologna 3
Universidad de Granada 3
INRIA Rhone-Alpes 3
NEC Laboratories America, Inc. 3
Rensselaer Polytechnic Institute 3
Eindhoven University of Technology 3
University of Science and Technology Beijing 3
Northwestern University 3
University of Crete 3
AT&T Inc. 3
University of Hamburg 3
Universidad Autonoma de Madrid 3
University of Turin 3
Technical University of Madrid 3
DePaul University 3
Swiss Federal Institute of Technology, Lausanne 3
Shanghai Jiaotong University 3
University of Bari 3
Ghent University 3
Universite Paris Descartes 3
Korea University 4
University of California, Irvine 4
University of Massachusetts Amherst 4
Universidad Politecnica de Valencia 4
University of Wurzburg 4
University of Southern California 4
Nanyang Technological University 4
Peking University 4
Lulea University of Technology 4
University of Ottawa, Canada 4
Texas A and M University 4
Commonwealth Scientific and Industrial Research Organization 4
Poznan University of Technology 4
Stony Brook University 4
Indian Institute of Technology, Kharagpur 4
Zhejiang University 4
Graz University of Technology 4
Institute of Computing Technology Chinese Academy of Sciences 4
HP Labs 4
University of Calgary 5
University of Maryland 5
Technion - Israel Institute of Technology 5
Arizona State University 5
Singapore Management University 5
South China University of Technology 5
Chinese Academy of Sciences 5
University of Groningen 5
Virginia Tech 5
Macquarie University 5
University of Brescia 5
Georgia Institute of Technology 5
University of the Basque Country 5
University of California, Davis 5
Technical University of Munich 5
Hasselt University 5
University of Southampton 6
Universidad de A Coruna 6
University of Illinois at Urbana-Champaign 6
The University of Hong Kong 6
Middle East Technical University 6
Italian National Research Council 6
RMIT University 6
University of Toronto 6
Bilkent University 7
University of New South Wales 7
University of Alberta 7
IBM Thomas J. Watson Research Center 7
University of Athens 7
Carnegie Mellon University 7
Ca' Foscari University of Venice 8
Microsoft Corporation 8
University of Manchester 9
Hong Kong University of Science and Technology 9
University of Trento 10
University of Science and Technology of China 10
University of Illinois at Chicago 10
University of Milan 10
Pennsylvania State University 10
Tsinghua University 11
Stanford University 11
Dalian University of Technology 11
Microsoft Research Asia 11
Yahoo Research Barcelona 12
Politecnico di Milano 15
University of California, Santa Barbara 17
Microsoft Research 17
Yahoo Research Labs 20
 
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