Semantic grounding of hybridization for tag recommendation

Yan'an Jin, Ruixuan Li, Yi Cai, Qing Li, Ali Daud, Yuhua Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)


Tag recommendation for new resources is one of the most important issues discussed recently. Many existing approaches ignore text semantics and can not recommend new tags which are not in the training dataset (e.g., FolkRank). Some exceptional semantic approaches use a probabilistic latent semantic method to recommend tags in terms of topic knowledge (e.g., ACT model). However, they do not perform well because many entities in these models result in much noise. In this paper, we propose hybrid approaches in folksonomy to challenge these problems. Hybrid approaches are combination of Language Model (LM) for keyword based approach and Latent Dirichlet Allocation (LDA), Tag-Topic (TT) model and User-Tag-Topic (UTT) model for topic based approaches. Our approaches can recommend meaningful tags and can be used to discover resource implicit correlations. Experimental results on Bibsonomy dataset show that LM performs better than all other hybrid and non-hybrid approaches. Also the hybrid approaches with less number of entities (e.g., LDA with only one entity) perform better than those approaches having more entities (e.g., UTT with three entities) for tag recommendation task.

Original languageEnglish
Title of host publicationWeb-Age Information Management - 11th International Conference, WAIM 2010, Proceedings
Number of pages12
Publication statusPublished - 3 Aug 2010
Externally publishedYes
Event11th International Conference on Web-Age Information Management, WAIM 2010 - Jiuzhaigou, China
Duration: 15 Jul 201017 Jul 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6184 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference11th International Conference on Web-Age Information Management, WAIM 2010

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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