Denis Helic is a Full Professor of Data Science and the Head of the School of Applied Data Science at (Modul University Vienna). He has a M.Sc. (Dipl. Ing.) in Computer Engineering (with distinction) from University of Zagreb, Ph.D. in Computer Science (with distinction) from Graz University of Technology, and Habilitation thesis in Applied Computer Science from Graz University of Technology.
Denis has been the project leader in a number of national and international basic and applied research projects such as NiN, KODE, NAVTAG, CORONET, EPHRAS, Sprichwort, or Austria-Forum some of which have been awarded with national and international prizes. He has published more than 150 research papers in various international journals and conferences including top class venues such as ACM WWW, ACM KDD, ACM CIKM, ACM Hypertext, ACM IUI, as well as ACM Transactions on the Web, ACM Transactions on Intelligent Systems and Technology, ACM Transactions on Social Computing, Nature Scientific Reports, and PLOS ONE. He has won a number of Best Paper Awards including the prestigious Best Paper Award at the 24th ACM International Conference on the World Wide Web 2015, Core A* conference.
He has been involved in organization of several international conferences and workshops and has served on numerous program committees. He regularly reviews submissions for several renowned international journals. Currently, he serves as an Associate Editor of the SpringerOpen EPJ Data Science Journal and Journal of Intelligent Information Systems. He is also a member of the steering committee of ACM Conference on Hypertext and Social Media.
Denis was formerly Dean of Studies at the Faculty of Computer Science and Biomedical Engineering, beetween 2011-2021. He was responsible for the study fields Computer Science, Software Engineering and Management, as well as Teacher Education in Computer Science. He was also one of the coordinators of the cooperation with the Faculty of Electrical Engineering in Information and Computer Engineering program. He also initiated and helped establish the cooperation between Graz University of Technology and Karl-Franzens University of Graz, an interdisciplinary cooperation between computer science, psychology, social sciences, business and law.
Currently, he teaches several courses at the Modul University Vienna and the Graz University of Technology at Master and Bachelor level.
Selected ACM Publications
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short-paper
Accuracy- and consistency-aware recommendation of configurations
Constraint-based configurators support users in deciding which components and features should be included in a configuration. Due to the increasing size and complexity of configurable products and services, recommender systems are used to personalize ...
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short-paper
Evaluating recommender systems in feature model configuration
Configurators can be evaluated in various ways such as efficiency and completeness of solution search, optimality of the proposed solutions, usability of configurator user interfaces, and configuration consistency. Due to the increasing size and ...
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research-article
Structack: Structure-based Adversarial Attacks on Graph Neural Networks
Recent work has shown that graph neural networks (GNNs) are vulnerable to adversarial attacks on graph data. Common attack approaches are typically informed, i.e. they have access to information about node attributes such as labels and feature vectors. ...
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research-article
Limiting Tags Fosters Efficiency
Tagging facilitates information retrieval in social media and other online communities by allowing users to organize and describe online content. Researchers found that the efficiency of tagging systems steadily decreases over time, because tags become ...
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research-article
Analysis and Prediction of Multilingual Controversy on Reddit
Social media users express their opinions about arbitrary subjects, including controversial matters such as the 2020 U.S. presidential election or climate change. Controversial topics typically attract user attention, which often lead to fruitful, but ...
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short-paper
Tell Me What You Want: Embedding Narratives for Movie Recommendations
Recommender systems are efficient exploration tools providing their users with valuable suggestions about items, such as products or movies. However, in scenarios where users have more specific ideas about what they are looking for (e.g., they provide ...
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research-article
Mind the Gap: Exploring Shopping Preferences Across Fashion Retail Channels
Over the course of the last decade, online retailers have demonstrated that knowledge about customer preferences and shopping patterns is an important asset for running a successful business. For example, customer preferences and shopping histories are ...
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research-article
What's in a Review: Discrepancies Between Expert and Amateur Reviews of Video Games on Metacritic
As video game press ("experts") and casual gamers ("amateurs") have different motivations when writing video game reviews, discrepancies in their reviews may arise. To study such potential discrepancies, we conduct a large-scale investigation of more ...
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research-article
Beggars Can't Be Choosers: Augmenting Sparse Data for Embedding-Based Product Recommendations in Retail Stores
Recommender systems are an essential component in many e-commerce platforms to drive sales and guide customers when exploring new products. With the increasing adoption of RFID technology in traditional brick-and-mortar stores, for example, in the form ...
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research-article
Self- and Cross-Excitation in Stack Exchange Question & Answer Communities
In this paper, we quantify the impact of self- and cross-excitation on the temporal development of user activity in Stack Exchange Question & Answer (Q&A) communities. We study differences in user excitation between growing and declining Stack Exchange ...
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research-article
Evaluating narrative-driven movie recommendations on Reddit
Recommender systems have become omni-present tools that are used by a wide variety of users in everyday life tasks, such as finding products in Web stores or online movie streaming portals. However, in situations where users already have an idea of what ...
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research-article
Activity Archetypes in Question-and-Answer (Q8A) Websites—A Study of 50 Stack Exchange Instances
Millions of users on the Internet discuss a variety of topics on Question-and-Answer (Q8A) instances. However, not all instances and topics receive the same amount of attention, as some thrive and achieve self-sustaining levels of activity, while others ...
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research-article
A Bayesian Method for Comparing Hypotheses About Human Trails
When users interact with the Web today, they leave sequential digital trails on a massive scale. Examples of such human trails include Web navigation, sequences of online restaurant reviews, or online music play lists. Understanding the factors that ...
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research-article
28th ACM International Conference on Hypertext and Social Media
The 28th 2017 ACM international conference on Hypertext and Social Media will be held in Prague, Czech Republic, from July 4 to 7. This newsletter article briefly introduces the conference and its venue.
We hope to meet you all at Hypertext 2017!
https:/...
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research-article
Evaluating and Improving Navigability of Wikipedia: A Comparative Study of Eight Language Editions
Wikipedia supports its users to reach a wide variety of goals: looking up facts, researching a topic, making an edit or simply browsing to pass time. Some of these goals, such as the lookup of facts, can be effectively supported by search functions. ...
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research-article
Mining Subgroups with Exceptional Transition Behavior
We present a new method for detecting interpretable subgroups with exceptional transition behavior in sequential data. Identifying such patterns has many potential applications, e.g., for studying human mobility or analyzing the behavior of internet ...
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research-article
Assessing the Navigational Effects of Click Biases and Link Insertion on the Web
Websites have an inherent interest in steering user navigation in order to, for example, increase sales of specific products or categories, or to guide users towards specific information. In general, website administrators can use the following two ...
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research-article
Activity Dynamics in Collaboration Networks
Many online collaboration networks struggle to gain user activity and become self-sustaining due to the ramp-up problem or dwindling activity within the system. Prominent examples include online encyclopedias such as (Semantic) MediaWikis, Question and ...
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research-article
Improving recommender system navigability through diversification: a case study of IMDb
The Internet Movie Database (IMDb) is the world's largest collection of facts about movies and features large-scale recommendation systems connecting hundreds of thousands of items. In the past, the principal evaluation criterion for such recommender ...
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research-article
Random surfers on a web encyclopedia
- Florian Geigl,
- Daniel Lamprecht,
- Rainer Hofmann-Wellenhof,
- Simon Walk,
- Markus Strohmaier,
- Denis Helic
The random surfer model is a frequently used model for simulating user navigation behavior on the Web. Various algorithms, such as PageRank, are based on the assumption that the model represents a good approximation of users browsing a website. However, ...
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research-article
The Influence of Social Status on Consensus Building in Collaboration Networks
In this paper, we analyze the influence of social status on opinion dynamics and consensus building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical collaboration networks by taking into account both the network ...
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research-article
The Role of Structural Information for Designing Navigational User Interfaces
Today, a variety of user interfaces exists for navigating information spaces, including, for example, tag clouds, breadcrumbs, subcategories and others. However, such navigational user interfaces are only useful to the extent that they expose the ...
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demonstration
VizTrails: An Information Visualization Tool for Exploring Geographic Movement Trajectories
Understanding the way people move through urban areas represents an important problem that has implications for a range of societal challenges such as city planning, public transportation, or crime analysis. In this paper, we present an interactive ...
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research-article
Models of human navigation in information networks based on decentralized search
Models of human navigation play an important role for understanding and facilitating user behavior in hypertext systems. In this paper, we conduct a series of principled experiments with decentralized search - an established model of human navigation in ...
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research-article
Exploring the differences and similarities between hierarchical decentralized search and human navigation in information networks
Decentralized search in networks is an activity that is often performed in online tasks. It refers to situations where a user has no global knowledge of a network's topology, but only local knowledge. On Wikipedia for instance, humans typically have ...
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research-article
Evaluation of Folksonomy Induction Algorithms
Algorithms for constructing hierarchical structures from user-generated metadata have caught the interest of the academic community in recent years. In social tagging systems, the output of these algorithms is usually referred to as folksonomies (from ...
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research-article
Navigational efficiency of broad vs. narrow folksonomies
Although many social tagging systems share a common tripartite graph structure, the collaborative processes that are generating these structures can differ significantly. For example, while resources on Delicious are usually tagged by all users who ...
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research-article
Building directories for social tagging systems
Today, a number of algorithms exist for constructing tag hierarchies from social tagging data. While these algorithms were designed with ontological goals in mind, we know very little about their properties from an information retrieval perspective, ...
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research-article
Enhancing the navigability of social tagging systems with tag taxonomies
Tagging introduces an intuitive and easy method to organize resources in information systems. Although tags exhibit useful properties for e.g. personal organization of information, recent research has shown that the navigability of social tagging ...
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research-article
The effects of navigation tools on the navigability of web-based information systems
In recent years, a number of approaches to improve the overall navigability of web-based information systems have been introduced -- breadcrumbs and automatic linking algorithms represent two exemplary approaches. While evaluation of such approaches is ...
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research-article
Pragmatic evaluation of folksonomies
Recently, a number of algorithms have been proposed to obtain hierarchical structures - so-called folksonomies - from social tagging data. Work on these algorithms is in part driven by a belief that folksonomies are useful for tasks such as: (a) ...
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research-article
The Austrian way of Wiki(pedia)!: development of a structured Wiki-based encyclopedia within a local Austrian context
Although the success of online encyclopedias such as Wiki-pedia is indisputable, researchers have questioned usefulness of Wikipedia in educational settings. Problems such as copy&paste syndrome, unchecked quality, or fragmentation of knowledge have ...
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chapter
Combining individual tutoring with automatic course sequencing in WBT systems
Usually, the success of systems using automatic course sequencing depends strongly on careful authoring and foreseeing of all curriculum alternatives before any learning session even starts. We believe that tutors, starting from a simple generic ...
Full publication list
See also the full list of publications.
Teaching
- Fundamentals of Computer Science and Programming
- Data Structures and Algorithms
- Computational Modelling of Social Systems
- Recommender Systems
- Computational Methods for Statistics
- Web Science (new title: Computational Social Systems 1)
- Network Science
- Knowledge Discovery and Data Mining 1