[CEUR Workshop Proceedings] Vol-497

Copyright © 2009 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. Re-publication of material from this volume requires permission by the copyright owners. This volume is published by its editors.

ECML PKDD Discovery Challenge 2009 - DC09

Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, Bled, Slovenia, September 7, 2009.

Edited by

* University of Kassel, Knowledge & Data Engineering Group, Wilhelmshöher Allee 73, 34121 Kassel, Germany
# University of Würzburg, Intelligent Systems Group, Am Hubland, 97074 Würzburg, Germany

Table of Contents

  1. Relational Classification for Personalized Tag Recommendation
    Leandro Balby Marinho, Christine Preisach, and Lars Schmidt-Thieme
  2. Measuring Vertex Centrality in Co-occurrence Graphs for Online Social Tag Recommendation
    Iván Cantador, David Vallet, and Joemon M. Jose
  3. Social Tag Prediction Base on Supervised Ranking Model
    Hao Cao, Maoqiang Xie, Lian Xue, Chunhua Liu, Fei Teng, and Yalou Huang
  4. Tag Recommendations Based on Tracking Social Bookmarking Systems
    Szymon Chojnacki
  5. A Fast Effective Multi-Channeled Tag Recommender
    Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, and Bamshad Mobasher
  6. A Modified and Fast Perceptron Learning Rule and its Use for Tag Recommendations in Social Bookmarking Systems
    Anestis Gkanogiannis and Theodore Kalamboukis
  7. Discriminative Clustering for Content-Based Tag Recommendation in Social Bookmarking Systems
    Malik Tahir Hassan, Asim Karim, Suresh Manandhar, and James Cussens
  8. Time Based Tag Recommendation Using Direct and Extended Users Sets
    Tereza Iofciu and Gianluca Demartini
  9. A Weighting Scheme for Tag Recommendation in Social Bookmarking Systems
    Sanghun Ju and Kyu-Baek Hwang
  10. ARKTiS - A Fast Tag Recommender System Based On Heuristics
    Thomas Kleinbauer and Sebastian Germesin
  11. Tag Recommendation Using Probabilistic Topic Models
    Ralf Krestel and Peter Fankhauser
  12. A Probabilistic Ranking Approach for Tag Recommendation
    Zhen Liao, Maoqiang Xie, Hao Cao, and Yalou Huang
  13. Tag Sources for Recommendation in Collaborative Tagging Systems
    Marek Lipczak, Yeming Hu, Yael Kollet, and Evangelos Milios
  14. Collaborative Tag Recommendation System based on Logistic Regression
    E. Montañés, J. R. Quevedo, I. Díaz, and J. Ranilla
  15. Content- and Graph-based Tag Recommendation: Two Variations
    Johannes Mrosek, Stefan Bussmann, Hendrik Albers, Kai Posdziech, Benedikt Hengefeld, Nils Opperman, Stefan Robert, and Gerrit Spira
  16. A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations
    Hendri Murfi and Klaus Obermayer
  17. STaR: a Social Tag Recommender System
    Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, and Giovanni Semeraro
  18. Combining Tag Recommendations Based on User History
    Ilari T. Nieminen
  19. Factor Models for Tag Recommendation in BibSonomy
    Steffen Rendle and Lars Schmidt-Thieme
  20. Content-based and Graph-based Tag Suggestion
    Xiance Si, Zhiyuan Liu, Peng Li, Qixia Jiang, and Maosong Sun
  21. RSDC'09: Tag Recommendation Using Keywords and Association Rules
    Jian Wang, Liangjie Hong and Brian D. Davison
  22. Understanding the User: Personomy Translation for Tag Recommendation
    Robert Wetzker, Alan Said, and Carsten Zimmermann
  23. A Tag Recommendation System Based on Contents
    Ning Zhang, Yuan Zhang, and Jie Tang
  24. A Collaborative Filtering Tag Recommendation System Based on Graph
    Yuan Zhang, Ning Zhang, and Jie Tang

02-Sep-2009: submitted by R. Jäschke
02-Sep-2009: published on CEUR-WS.org