Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Toni Gruetze

Ph.D. student at the Infomation Systems Research Group at Hasso Plattner Institute for Software Systems Engineering

Toni Gruetze

Contact Information

Prof.-Dr.-Helmert-Straße 2-3
D-14482 Potsdam
Room: G-3.2.09

Phone: +49 331 5509 237

Email: Toni Gruetze

Research Interests

  • Web Mining
  • Distributed Computing
  • Information Retrieval
  • Machine Learning
  • Recommender Systems

Supervisions

  • Master's theses:

    • "Large-Scale Twitter Hashtag Recommendation for Documents" by Gary Yao, 2014
    • "Context-based Tweet Recommendation for News Articles" by Alexander Spivak, 2016
    • "Large-scale topic-based analysis of political discussions on Twitter" by Jaqueline Pollak, 2017

Publications

Learning Temporal Tagging Behaviour

Gruetze, Toni; Yao, Gary; Krestel, Ralf in Proceedings of the 24th International Conference on World Wide Web Companion (WWW) page 1333--1338 . ACM , 2015 .

Social networking services, such as Facebook, Google+, and Twitter are commonly used to share relevant Web documents with a peer group. By sharing a document with her peers, a user recommends the content for others and annotates it with a short description text. This short description yield many chances for text summarization and categorization. Because today’s social networking platforms are real-time media, the sharing behaviour is subject to many temporal effects, i.e., current events, breaking news, and trending topics. In this paper, we focus on time-dependent hashtag usage of the Twitter community to annotate shared Web-text documents. We introduce a framework for time-dependent hashtag recommendation models and introduce two content-based models. Finally, we evaluate the introduced models with respect to recommendation quality based on a Twitter-dataset consisting of links to Web documents that were aligned with hashtags.
lttb_www.pdf
Further Information
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