Relational classification for personalized tag recommendation

CEUR Workshop Proceedings

Volumn 497, Issue , 2009, Pages 7-15

  Marinho, Leandro Balby ^a   Preisach, Christine ^a   Schmidt Thieme, Lars ^a  

^a UNIVERSITY OF HILDESHEIM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TECHNIQUE; FOLKSONOMIES; GRAPH-BASED; HYPERTEXT DOCUMENTS; SCIENTIFIC PUBLICATIONS; SEMI-SUPERVISED LEARNING; TAG RECOMMENDATIONS;

SUPERVISED LEARNING;

HYPERTEXT SYSTEMS;

EID: 78649242708     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Soumen Chakrabarti, Byron E. Dom, and Piotr Indyk. Enhanced hypertext categorization using hyperlinks. In Laura M. Haas and Ashutosh Tiwary, editors, Proceedings of SIGMOD-98, pages 307-318. ACM Press, New York, US, 1998.
2. Thomas G. Dietterich. Machine-learning research: Four current directions. The AI Magazine, 18(4):97-136, 1998.
3. Robert laeschke, Leandro Marinho, Andreas Hotho, Lars Schmidt-Thieme, and Gerd Stumme. Tag recommendations in social bookmarking systems. AI Communications, pages 231-247, 2008.
4. Qing Lu and Lise Getoor. Link-based classification using labeled and unlabeled data, icml 2003 workshop on the continuum from labeled to unlabeled data. In in Machine Learning and Data Mining, 2003.
5. S. Macskassy and F. Provost. A simple relational classifier. In Proceedings of the 2nd Workshop on Multi-Relational Data Mining, KDD2003, pages 64-76, 2003.
6. Christine Preisach and Lars Schmidt-Thieme. Relational ensemble classification. In ICDM '06: Proceedings of the Sixth International Conference on Data Mining, pages 499-509, Washington, DC, USA, 2006. IEEE Computer Society.
7. Christine Preisach and Lars Schmidt-Thieme. Ensembles of relational classifiers. Knowledge and Information Systems, 14:249-272, 2007.
8. Steffen Rendle, Leandro B. Marinho, Alexandras Nanopoulos, and Lars Schimdt-Thieme. Learning optimal ranking with tensor factorization for tag recommendation. In KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 727-736. ACM, 2009.