4 Know-Center Papers presented at ACM Hypertext Conference 2016

At the 27th ACM Hypertext Conference in Halifax, Canada, the Know-Center was represented with 4 papers. The ACM Hypertext conference is a hub for modern and high-quality hypertext research.

The 27th ACM Hypertext Conference 2016 took place from July 10 – 13, 2016 in Halifax Canada. The conference is a premium venue concerning all values of modern hypertext research such as social media, semantic web, dynamic and computed hypertext, and hypermedia as well as narrative systems and applications. ACM Hypertext aims to present high quality peer-reviewed research on hypertext theory, systems, and applications.

Dominik Kowald and Emanuel Lacic from Know-Center’s Social Computing Team did not only present their two short-papers “The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems” and “High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Reviews” (see also previous news entry) there, they were also accepted for an ACM SIGWEB student scholarship each allowing them to work as student volunteers in diverse conference activities.

Moreover, the doctoral consortium paper “Real-Time Recommendations in a Multi-Domain Environment” describing the subject of Emanuel Lacic’s dissertation was presented at the conference. This paper deals with efficient hybrid systems combining heterogeneous data sources and recommender algorithms.

Additionally to the regular research track the conference also features a creative track, in the course of which the paper “Understanding and Predicting Online Food Production Patterns”, authored by Christoph Trattner and two Norwegian colleagues, was presented. This paper presents the results of a large-scale study which aimed at understanding the impact of historical, social, and temporal factors on the online food creation process. Several experiments were conducted and revealed the extent to which various factors are useful in predicting future recipe production. The authors concluded that user history, social relations, and temporality have a significant impact on recipe creation, recipe type, and the ingredients used.

Complete bibliography of the papers:

Kowald, D. & Lex, E. The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems. In Proceedings of the 27th ACM Conference on Hypertext and Social Media. ACM. 2016
The paper is available for download here.

Kusmierczyk, T., Trattner, C., Nørvåg, K., (2016) “Understanding and Predicting Online Food Recipe Production Patterns”, in Proceedings of the 27th ACM Conference on Hypertext and Social Media.
The paper is available for download here.

Lacic, E., Kowald, D. & Lex, E. High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Reviews. In Proceedings of the 27th ACM Conference on Hypertext and Social Media. ACM. 2016.
The paper is available for download here.

Lacic, E. Real-Time Recommendations in a Multi-Domain Environment. In Late-breaking Results, Demos, Doctoral Consortium, Workshops Proceedings and Creative Track of the 27th ACM Conference on Hypertext and Social Media (HT-ExtProc 2016). CEUR-WS.org, online http://ceur-ws.org/Vol-1628/DC_4.pdf.

You can see all the pictures from the conference here. ©Paul de Bra

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