ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
ACM Transactions on the Web (TWEB)
Discovering shared conceptualizations in folksonomies
Web Semantics: Science, Services and Agents on the World Wide Web
Tag Recommendations in Folksonomies
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Can all tags be used for search?
Proceedings of the 17th ACM conference on Information and knowledge management
Closed patterns meet n-ary relations
ACM Transactions on Knowledge Discovery from Data (TKDD)
Personalized tag recommendation using graph-based ranking on multi-type interrelated objects
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Web search personalization via social bookmarking and tagging
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Personalized recommender system based on item taxonomy and folksonomy
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Personalizing web search with folksonomy-based user and document profiles
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Abstract framework for social ontologies and folksonomized ontologies
SWIM '12 Proceedings of the 4th International Workshop on Semantic Web Information Management
Scalable mining of frequent tri-concepts from folksonomies
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Who tags what?: an analysis framework
Proceedings of the VLDB Endowment
Look who I found: understanding the effects of sharing curated friend groups
Proceedings of the 3rd Annual ACM Web Science Conference
A quadratic approach for trend detection in folksonomies
RR'12 Proceedings of the 6th international conference on Web Reasoning and Rule Systems
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Thanks to the high popularity and simplicity of folksonomies, many users tend to share objects (movies, songs, bookmarks, etc.) by annotating them with a set of tags of their own choice. Users represent the core of the system since they are both the contributors and the creators of the information. Yet, each user has its own profile and its own ideas making thereby the strength as well as the weakness of folksonomies. Indeed, it would be helpful to take account of users' profile when suggesting a list of tags and resources or even a list of friends, in order to make a more personal recommandation. The goal is to suggest tags (or resources) which may correspond to a user's vocabulary or interests rather than a list of most used and popular tags in folksonomies. In this paper, we consider users' profile as a new dimension of a folksonomy classically composed of three dimensions "users, tags, ressources" and we propose an approach to group users with equivalent profiles and equivalent interests as quadratic concepts. Then, we use quadratic concepts in order to propose our personalized recommendation system of users, tags and resources according to each user's profile. Carried out experiments on the large-scale real-world filmography dataset MovieLens highlight encouraging results in terms of precision.