• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 25 matches

• 2009
• 
  Iván Cantador, David Vallet, Joemon M. Jose:
  Measuring Vertex Centrality in Co-occurrence Graphs for Online Social Tag Recommendation. DC@PKDD/ECML 2009
• 
  Hao Cao, Maoqiang Xie, Lian Xue, Chunhua Liu, Fei Teng, Yalou Huang:
  Social Tag Prediction Base on Supervised Ranking Model. DC@PKDD/ECML 2009
• 
  Szymon Chojnacki:
  Tag Recommendations Based on Tracking Social Bookmarking Systems. DC@PKDD/ECML 2009
• 
  Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher:
  A Fast Effective Multi-Channeled Tag Recommender. DC@PKDD/ECML 2009
• 
  Anestis Gkanogiannis, Theodore Kalamboukis:
  A Modified and Fast Perceptron Learning Rule and its Use for Tag Recommendations in Social Bookmarking Systems. DC@PKDD/ECML 2009
• 
  Malik Tahir Hassan, Asim Karim, Suresh Manandhar, James Cussens:
  Discriminative Clustering for Content-Based Tag Recommendation in Social Bookmarking Systems. DC@PKDD/ECML 2009
• 
  Tereza Iofciu, Gianluca Demartini:
  Time Based Tag Recommendation Using Direct and Extended Users Sets. DC@PKDD/ECML 2009
• 
  Sanghun Ju, Kyu-Baek Hwang:
  A Weighting Scheme for Tag Recommendation in Social Bookmarking Systems. DC@PKDD/ECML 2009
• 
  Thomas Kleinbauer, Sebastian Germesin:
  ARKTiS - A Fast Tag Recommender System Based On Heuristics. DC@PKDD/ECML 2009
• 
  Ralf Krestel, Peter Fankhauser:
  Tag Recommendation Using Probabilistic Topic Models. DC@PKDD/ECML 2009
• 
  Zhen Liao, Maoqiang Xie, Hao Cao, Yalou Huang:
  A Probabilistic Ranking Approach for Tag Recommendation. DC@PKDD/ECML 2009
• 
  Marek Lipczak, Yeming Hu, Yael Kollet, Evangelos E. Milios:
  Tag Sources for Recommendation in Collaborative Tagging Systems. DC@PKDD/ECML 2009
• 
  Leandro Balby Marinho, Christine Preisach, Lars Schmidt-Thieme:
  Relational Classification for Personalized Tag Recommendation. DC@PKDD/ECML 2009
• 
  Elena Montañés, José Ramón Quevedo, Irene Díaz, José Ranilla:
  Collaborative Tag Recommendation System based on Logistic Regression. DC@PKDD/ECML 2009
• 
  Johannes Mrosek, Stefan Bussmann, Hendrik Albers, Kai Posdziech, Benedikt Hengefeld, Nils Opperman, Stefan Robert, Gerrit Spira:
  Content- and Graph-based Tag Recommendation: Two Variations. DC@PKDD/ECML 2009
• 
  Hendri Murfi, Klaus Obermayer:
  A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations. DC@PKDD/ECML 2009
• 
  Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
  STaR: a Social Tag Recommender System. DC@PKDD/ECML 2009
• 
  Ilari T. Nieminen:
  Combining Tag Recommendations Based on User History. DC@PKDD/ECML 2009
• 
  Steffen Rendle, Lars Schmidt-Thieme:
  Factor Models for Tag Recommendation in BibSonomy. DC@PKDD/ECML 2009
• 
  Xiance Si, Zhiyuan Liu, Peng Li, Qixia Jiang, Maosong Sun:
  Content-based and Graph-based Tag Suggestion. DC@PKDD/ECML 2009
• 
  Jian Wang, Liangjie Hong, Brian D. Davison:
  RSDC'09: Tag Recommendation Using Keywords and Association Rules. DC@PKDD/ECML 2009
• 
  Robert Wetzker, Alan Said, Carsten Zimmermann:
  Understanding the User: Personomy Translation for Tag Recommendation. DC@PKDD/ECML 2009
• 
  Ning Zhang, Yuan Zhang, Jie Tang:
  A Tag Recommendation System Based on Contents. DC@PKDD/ECML 2009
• 
  Yuan Zhang, Ning Zhang, Jie Tang:
  A Collaborative Filtering Tag Recommendation System Based on Graph. DC@PKDD/ECML 2009
• 
  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. CEUR Workshop Proceedings 497, CEUR-WS.org 2009 [contents]