Technical program

The main technical program of WWW2017 will incorporate 11 tracks which will give conference attendees an opportunity to learn about ongoing research projects through informal interactions.

Computational Health

Health and medicine are increasingly searched for, tracked, and delivered via digital means. One of the primary among these is the Internet. This represents opportunities to improve our health and the delivery of medicine, for example, by learning about aspects of people’s health that are difficult to otherwise track, by facilitating rapid collection and dissemination of time-critical medical data, and by providing novel interventions to improve health.

The newly-introduced health track at WWW2017 brings together advances in computer science with direct benefits to the medical and public health domains.

Crowdsourcing

This track focuses on socio-technical systems that create value through collective action. These actions include producing, appraising and sharing content, performing various types of work, as well as all other crowd phenomena that occur today over the web. We invite submissions that contribute a new algorithm, analysis, application, or framework.

Internet Monetisation and Online Markets

The web has transformed many traditional businesses, from shopping to advertising, and has been a platform for new economic activities such as cloud computing, crowdsourcing, and the sharing economy.

This track will present theoretical, empirical, and applied research related to the modeling, analysis and design of web-specific economic activities.

Search

This track presents research addressing all the aspects of search, from complex efficient web-scale systems to email/calendar search, to search across and within apps. It will include discussions on topics such as adversarial and interactive search, query analysis and processing, personalised or context-aware search, and vertical and specialised search.

Security and Privacy

This track focuses on the increasingly relevant issues of security, privacy, trust and abuse of trust online. Topics will include, but not be limited to, human and usability factors in web security and privacy, measurement of online crime/underground economics, and browser security.

Semantics and Knowledge

The last few years have seen the mainstream adoption of semantic/structured data by widely used services such as Google/Bing search, Cortana, and Google Assistant. Simultaneously, we are seeing a significant (double digit) fraction of web pages containing semantic web markup. Many of next-generation applications and IoTs/devices draw some of their power from such markup occurring not just in web pages but also in email and other communication. Open data is also revolutionising research in areas ranging from basic science and engineering to the social sciences.

These successes have opened the doors to new challenges that are the focus of the WWW Semantics and Knowledge track. The emphasis this year will be on the creation of knowledge bases, on bridging structured and unstructured data, and on new techniques for semantic processing of large, real-world datasets.

Social Network Analysis and Computational Social Science

We invite original submissions addressing all aspects of computational social science, social networks and graph analysis. Social networks and social media have lowered the barrier to produce and consume online information by enabling new links between people, objects, information, and services. Data now collected about our online and offline actions — from what we say, to where we go, to whom we interact with — has created an unprecedented opportunity to address both new and longstanding questions in sociology, political science, economics, psychology, and beyond.

Systems and Infrastructure

This track will explore the challenges and opportunities related to the architecture and construction of systems and infrastructure underlying Internet services that operate at a global scale.

Ubiquitous and Mobile Computing

This track will investigate the diverse area of systems, networking, applications and analysis related to the mobile web. As in past years, there will be a continued emphasis on the use of mobile services, sensors and application data to better understand user behaviour for the purpose of improving user experience, or more broadly, overall utility.

For 2017, there will be a particular focus on pervasive and ubiquitous computing research, especially work that integrates principled data modeling and reasoning to benefit applications of core social relevance like mobile health.

User Modeling, Personalisation and Experience

A large swath of user interaction with various products happen through devices connected to the web. Hence, developing technology to understand and enhance the user experience with consumer products at scale has become one of the most important problems of our time. Commoditisation of computer infrastructure on the cloud have opened the door to innovate using vast amounts of data collected from these devices through techniques like machine learning, statistical modeling, natural language processing, speech recognition, and others. The sheer volume of interactions have made it possible to rapidly innovate in a data driven fashion and evaluate success based on user’s interactions and feedback.

In this track we discuss all aspects of user behaviour analysis, personalisation, and experience.

Web Mining and Content Analysis

This track explores the analysis of web data in all its forms, ranging from the content itself to the associated entities and related metadata.

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