A Curated List of WWW 2017 Papers for Data Science and Web Science

This year the WWW conference 2017 is definitely focusing a lot of emphasis on Web Science and Data Science.

I’m recording here a list of papers I found interesting at the conference, related to this topic. Disclaimer: the list may be incomplete, as I did not go through all the papers. So in case you want full coverage of the conference, you can just browse the full WWW proceedings, which are entirely available online as open-access creative commons content.

Anyway, here is my list:

Prices and Subsidies in the Sharing Economy (Page 53)
Zhixuan Fang (Tsinghua University)
Longbo Huang (Tsinghua University)
Adam Wierman (California Institute of Technology)

Understanding and Discovering Deliberate Self-harm Content in Social Media (Page 93)
Yilin Wang (Arizona State University)
Jiliang Tang (Michigan State University)
Jundong Li (Arizona State University)
Baoxin Li (Arizona State University)
Yali Wan (University of Washington)
Clayton Mellina (Yahoo Research)
Neil O’Hare (Yahoo Research)
Yi Chang (Huawei Research America)

Cataloguing Treatments Discussed and Used in Online Autism Communities (Page 123)
Shaodian Zhang (Columbia University)
Tian Kang (Columbia University)
Lin Qiu (Shanghai Jiao Tong University)
Weinan Zhang (Shanghai Jiao Tong University)
Yong Yu (Shanghai Jiao Tong University)
Noémie Elhadad (Columbia University)

Neural Collaborative Filtering (Page 173)
Xiangnan He (National University of Singapore)
Lizi Liao (National University of Singapore)
Hanwang Zhang (Columbia University)
Liqiang Nie (Shandong University)
Xia Hu (Texas A&M University)
Tat-Seng Chua (National University of Singapore)

Exact Computation of Influence Spread by Binary Decision Diagrams (Page 947)
Takanori Maehara (Shizuoka University & RIKEN Center for Advanced Intelligence Project)
Hirofumi Suzuki (Hokkaido University)
Masakazu Ishihata (Hokkaido University)

Secure Centrality Computation Over Multiple Networks (Page 957)
Gilad Asharov (Cornell-Tech)
Francesco Bonchi (ISI Foundation)
David García Soriano (Eurecat & Pompeu Fabra University)
Tamir Tassa (The Open University)

Interplay between Social Influence and Network Centrality: A Comparative Study on Shapley Centrality and Single-Node-Influence Centrality (Page 967)
Wei Chen (Microsoft Research)
Shang-Hua Teng (University of Southern California)

Portfolio Optimization for Influence Spread (Page 977)
Naoto Ohsaka (The University of Tokyo)
Yuichi Yoshida (National Institute of Informatics & Preferred Infrastructure, Inc.)

Extracting and Ranking Travel Tips from User-Generated Reviews (Page 987)
Ido Guy (Ben-Gurion University of the Negev & eBay Research)
Avihai Mejer (Yahoo Research)
Alexander Nus (Yahoo Research)
Fiana Raiber (Technion – Israel Institute of Technology)

Information Extraction in Illicit Web Domains (Page 997)
Mayank Kejriwal (University of Southern California)
Pedro Szekely (University of Southern California)

Learning to Extract Events from Knowledge Base Revisions (Page 1007)
Alexander Konovalov (Ohio State University)
Benjamin Strauss (Ohio State University)
Alan Ritter (Ohio State University)
Brendan O’Connor (University of Massachusetts, Amherst)

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases (Page 1015)
Xiang Ren (University of Illinois at Urbana-Champaign)
Zeqiu Wu (University of Illinois at Urbana-Champaign)
Wenqi He (University of Illinois at Urbana-Champaign)
Meng Qu (University of Illinois at Urbana-Champaign)
Clare R. Voss (Army Research Laboratory)
Heng Ji (Rensselaer Polytechnic Institute)
Tarek F. Abdelzaher (University of Illinois at Urbana-Champaign)
Jiawei Han (University of Illinois at Urbana-Champaign)

Community-based Crowdsourcing – Our paper at WWW2014 SOCM

Today Andrea Mauri presented our paper “Community-based Crowdsourcing” at the SOCM Workshop co-located with the WWW 2014 conference.

SOCM is the 2nd International Workshop on the Theory and Practice of Social Machines and is an interesting venue for discussing instrumentation, tooling, and software system aspects of online social network. The full program of the event is here.

Our paper is focused on community-based crowdsourcing applications, i.e. the ability of spawning crowdsourcing tasks upon multiple communities of performers, thus leveraging the peculiar characteristics and capabilities of the community members.
We show that dynamic adaptation of crowdsourcing campaigns to community behaviour is particularly relevant. We demonstrate that this approach can be very e ffective for obtaining answers from communities, with very di fferent size, precision, delay and cost, by exploiting the social networking relations and the features of the crowdsourcing task. We show the approach at work within the CrowdSearcher platform, which allows con figuring and dynamically adapting crowdsourcing campaigns tailored to different communities. We report on an experiment demonstrating the eff ectiveness of the approach.

The figure below shows a declarative reactive rule that dynamically adapts the crowdsourcing campaign by moving the task executions from a community of workers to another, when the average quality score of the community is below some threshold.

The slides of the presentation are available on Slideshare. If you want to know more or see some demos, please visit:



The full paper will be available on the ACM Digital Library shortly.

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Search Computing demonstration at WWW 2010, Hyderabad, India

Together with Alessandro Bozzon, I’ve presented a demonstration of the search computing exploratory search paradigm at WWW 2010.

The demonstrated scenario is in the real estate and job search field. Suppose that a user is willing to find a new job with a specific expertise and in a certain city. Based on his findings, he also wants to search for housing opportunities in the closeby neighbourhoods. Hence, he wants to check for additional information on the quality of life in the area, on availability of services (public transportation, schools for his children, and so on). The final decision will be based on a complex function of all these aspects. The figure below shows the graph of actually existing and registered searchable concepts within this scenario. All these concepts are searched through third-party services.

Here is a short video with a summary of the demonstration:

Here you can see Alessandro at work, while demonstrating the approach to some visitor (big prize if you guess who he is:) :

Btw, if you are looking for some more exciting pictures I took in Hyderabad, India you can have a look at this Flickr set of pictures from Hyderabad (while at WWW 2011).

To keep updated on my activities you can subscribe to the RSS feed of my blog or follow my twitter account (@MarcoBrambi).

Our paper at WWW 2010

The paper by Bozzon, A., Brambilla, M., Ceri, S., Fraternali, P. on Liquid query: multi-domain exploratory search on the web has been published in the proceedings of the 19th international conference on World Wide Web (WWW conference 2010, Raleigh, NC, USA). ACM, New York, NY, USA, pp. 161-170.

Further details available here: