Access the full text.
Sign up today, get DeepDyve free for 14 days.
C. Cattuto, V. Loreto, L. Pietronero (2007)
Semiotic dynamics and collaborative taggingProceedings of the National Academy of Sciences, 104
C. Yeung, Nicholas Gibbins, N. Shadbolt (2007)
Understanding the Semantics of Ambiguous Tags in Folksonomies
J. Kleinberg (1999)
Authoritative sources in a hyperlinked environment
M. Dorigo, G. Caro (1999)
The ant colony optimization meta-heuristic
Isabella Peters, Wolfgang Stock (2008)
Folksonomy and information retrieval
Andriy Shepitsen, Jonathan Gemmell, B. Mobasher, R. Burke (2008)
Personalized recommendation in social tagging systems using hierarchical clustering
Xia Lin, Joan Beaudoin, Yen Bui, Kaushal Desai (2006)
EXPLORING CHARACTERISTICS OF SOCIAL CLASSIFICATIONAdvances in Classification Research Online, 17
Thomas Hofmann (1999)
Probabilistic Latent Semantic Analysis
D. Corne, M. Dorigo, F. Glover, D. Dasgupta, P. Moscato, R. Poli, K. Price (1999)
New ideas in optimization
P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, J. Riedl (1994)
GroupLens: an open architecture for collaborative filtering of netnews
Laura Gordon-Murnane (2006)
Social bookmarking, folksonomies, and web 2.0 toolsSearcher-the Magazine for Database Professionals, 14
Lawrence Page, S. Brin, R. Motwani, T. Winograd (1999)
The PageRank Citation Ranking : Bringing Order to the Web, 98
Csaba Veres (2006)
Concept Modeling by the Masses: Folksonomy Structure and Interoperability
A. Hotho, R. Jäschke, Christoph Schmitz, Gerd Stumme (2006)
FolkRank : A Ranking Algorithm for Folksonomies
Wensi Xi, Benyu Zhang, Zheng Chen, Yizhou Lu, Shuicheng Yan, Wei-Ying Ma, E. Fox (2004)
Link fusion: a unified link analysis framework for multi-type interrelated data objects
S. Anand, B. Mobasher (2009)
Intelligent Techniques for Web Personalization & Recommender Systems
R. Jäschke, L. Marinho, A. Hotho, L. Schmidt-Thieme, Gerd Stumme (2007)
Tag Recommendations in Folksonomies
M. Winget (2006)
USER-DEFINED CLASSIFICATION ON THE ONLINE PHOTO SHARING SITE FLICKR…OR, HOW I LEARNED TO STOP WORRYING AND LOVE THE MILLION TYPING MONKEYSAdvances in Classification Research Online, 17
D. Godoy, A. Amandi (2008)
Hybrid Content and Tag-based Profiles for Recommendation in Collaborative Tagging Systems2008 Latin American Web Conference
E. Michlmayr, Steve Cayzer, P. Shabajee (2007)
Add-A-Tag: Learning Adaptive User Profiles from Bookmark Collections
Peter Mertens (2021)
Recommender Systems
Kazuyoshi Yoshii, Masataka Goto, Kazunori Komatani, T. Ogata, HIroshi Okuno (2006)
Hybrid Collaborative and Content-based Music Recommendation Using Probabilistic Model with Latent User Preferences
H. Halpin, V. Robu, H. Shepard (2006)
The Dynamics and Semantics of Collaborative Tagging
A. Hotho, R. Jäschke, Christoph Schmitz, Gerd Stumme (2006)
Information Retrieval in Folksonomies: Search and Ranking
Cameron Marlow, Mor Naaman, D. Boyd, Marc Davis (2006)
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Jonathan Gemmell, Andriy Shepitsen, B. Mobasher, R. Burke (2008)
Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering
Julia Stoyanovich, S. Amer-Yahia, Cameron Marlow, Cong Yu (2008)
Leveraging Tagging to Model User Interests in del.icio.us
M. Szomszor, C. Cattuto, Harith Alani, K. O’Hara, A. Baldassarri, V. Loreto, V. Servedio (2007)
Folksonomies, the semantic web, and movie recommendation
Jonathan Herlocker, J. Konstan, L. Terveen, J. Riedl (2004)
Evaluating collaborative filtering recommender systemsACM Trans. Inf. Syst., 22
David Cohn, Thomas Hofmann (2000)
The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity
Xin Jin, Yanzan Zhou, B. Mobasher (2004)
Web usage mining based on probabilistic latent semantic analysisProceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Michael Noll, C. Meinel (2007)
Web Search Personalization Via Social Bookmarking and Tagging
C. Cattuto, V. Loreto, L. Pietronero (2006)
Collaborative Tagging and Semiotic DynamicsArXiv, abs/cs/0605015
S. Brin, Lawrence Page (1998)
The Anatomy of a Large-Scale Hypertextual Web Search EngineComput. Networks, 30
J. Diederich, Tereza Iofciu (2006)
Finding Communities of Practice from User Profiles Based on Folksonomies
(2005)
Folksonomies: power to the people
J. Konstan (2004)
Introduction to recommender systems: Algorithms and EvaluationACM Trans. Inf. Syst., 22
Scott Golder, B. Huberman (2005)
The Structure of Collaborative Tagging SystemsArXiv, abs/cs/0508082
F. Abel, M. Frank, N. Henze, D. Krause, D. Plappert, Patrick Siehndel (2007)
GroupMe! - Where Semantic Web meets Web 2.0
X. Wu, Lei Zhang, Yong Yu (2007)
Long Run Macroeconomic Relations in the Global EconomyEconomics, 1
R. Wetzker, Winfried Umbrath, A. Said (2009)
A hybrid approach to item recommendation in folksonomies
(2007)
Selection-based item tagging
(2007)
Information retrieval. Searching and finding information. In: Proceedings of the 70th annual meeting of the American society for information science and technology
Omar Alonso, H. Zaragoza (2009)
Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
E. Michlmayr, Steve Cayzer (2007)
Learning User Profiles from Tagging Data and Leveraging them for Personal(ized) Information Access
C. Cattuto, Christoph Schmitz, A. Baldassarri, V. Servedio, V. Loreto, A. Hotho, M. Grahl, Gerd Stumme (2007)
Network properties of folksonomiesAI Commun., 20
Gui-Rong Xue, Wenyuan Dai, Qiang Yang, Yong Yu (2008)
Topic-bridged PLSA for cross-domain text classification
J. Arenas-García, Anders Meng, Kaare Petersen, T. Lehn-Schiøler, L. Hansen, J. Larsen (2007)
Unveiling Music Structure via PLSA Similarity Fusion2007 IEEE Workshop on Machine Learning for Signal Processing
P. Symeonidis, A. Nanopoulos, Y. Manolopoulos (2008)
Tag recommendations based on tensor dimensionality reduction
(2006)
Proceedings of the seventeenth conference on Hypertext and hypermedia
M. Guy, E. Tonkin (2006)
Folksonomies: Tidying Up Tags?D Lib Mag., 12
F. Abel, N. Henze, D. Krause (2008)
Exploiting Additional Context for Graph-Based Tag Recommendations in Folksonomy Systems2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 1
D. Godoy, A. Amandi (2006)
Modeling user interests by conceptual clusteringInf. Syst., 31
Adam Mathes (2004)
Folksonomies-Cooperative Classification and Communication Through Shared Metadata
P. Mika (2005)
Ontologies are us: A unified model of social networks and semantics
Karen Tso-Sutter, L. Marinho, L. Schmidt-Thieme (2008)
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Csaba Veres (2006)
The Language of Folksonomies: What Tags Reveal About User Classification
Huizhi Liang, Yue Xu, Yuefeng Li, R. Nayak (2008)
Collaborative Filtering Recommender Systems Using Tag Information2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 3
K. Thompson, P. Langley (1991)
Concept formation in structured domains
R. Michalski, R. Stepp (1983)
Learning from Observation: Conceptual Clustering
A. Hotho, R. Jäschke, Christoph Schmitz, Gerd Stumme (2006)
BibSonomy: a social bookmark and publication sharing system
Zhichen Xu, Yun Fu, Jianchang Mao, Difu Su (2006)
Towards the Semantic Web: Collaborative Tag Suggestions
Alexandrin Popescul, L. Ungar, David Pennock, S. Lawrence (2001)
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data EnvironmentsArXiv, abs/1301.2303
S. Pauws, W. Verhaegh, Mark Vossen (2006)
Fast Generation of Optimal Music Playlists using Local Search
A. Uitdenbogerd, R. Schyndel (2002)
A Review of Factors Affecting Music Recommender Success
(2005)
Folksonomy definition and wikipedia
(2006)
Folksonomies or fauxsonomies: how social is social bookmarking? 17th ASIS&T SIG/CR classification research workshop
Òscar Celma, Miquel Ramírez, P. Herrera (2005)
Foafing the Music: A Music Recommendation System based on RSS Feeds and User Preferences
J. Bar-Ilan, Snunith Shoham, A. Idan, Y. Miller, A. Shachak (2008)
Structured versus unstructured tagging: a case studyOnline Inf. Rev., 32
F. Abel, N. Henze, D. Krause (2008)
Social Semantic Web at Work: Annotating and Grouping Social Media Content
C. Firan, W. Nejdl, Raluca Paiu (2007)
The Benefit of Using Tag-Based Profiles2007 Latin American Web Conference (LA-WEB 2007)
C. Yeung, Nicholas Gibbins, N. Shadbolt (2008)
A Study of User Profile Generation from Folksonomies
(1991)
Concept formation knowledge and experience in unsupervised learning
Steffen Rendle, L. Marinho, A. Nanopoulos, L. Schmidt-Thieme (2009)
Learning optimal ranking with tensor factorization for tag recommendation
Social tagging systems have grown in popularity over the Web in the last years on account of their simplicity to categorize and retrieve content using open-ended tags. The increasing number of users providing information about themselves through social tagging activities caused the emergence of tag-based profiling approaches, which assume that users expose their preferences for certain contents through tag assignments. Thus, the tagging information can be used to make recommendations. This paper presents an overview of the field of social tagging systems which can be used for extending the capabilities of recommender systems. Various limitations of the current generation of social tagging systems and possible extensions that can provide better recommendation capabilities are also considered.
Artificial Intelligence Review – Springer Journals
Published: Jan 21, 2010
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.