Stop thinking, start tagging: tag semantics emerge from collaborative verbosity

C Körner, D Benz, A Hotho, M Strohmaier… - Proceedings of the 19th …, 2010 - dl.acm.org
Recent research provides evidence for the presence of emergent semantics in collaborative
tagging systems. While several methods have been proposed, little is known about the …

Personalized topic-based tag recommendation

R Krestel, P Fankhauser - Neurocomputing, 2012 - Elsevier
More and more content on the Web is generated by users. To organize this information and
make it accessible via current search technology, tagging systems have gained tremendous …

SWAF: a smart web application firewall based on convolutional neural network

I Jemal, MA Haddar, O Cheikhrouhou… - … on Security of …, 2022 - ieeexplore.ieee.org
Internet network carries a huge stream of HTTP requests and responses between users and
servers. Securing server data access is primordial for internet users to enhance confidence …

Efficient tag recommendation for real-life data

M Lipczak, E Milios - ACM Transactions on Intelligent Systems and …, 2011 - dl.acm.org
Despite all of the advantages of tags as an easy and flexible information management
approach, tagging is a cumbersome task. A set of descriptive tags has to be manually …

[PDF][PDF] Improving graph-based approaches for personalized tag recommendation

M Ramezani - Journal of Emerging Technologies in Web Intelligence, 2011 - Citeseer
Social tagging applications allow users to annotate online resources, resulting in a complex
network of interrelated users, resources and tags often called a Folksonomy. A folksonomy is …

Folkdiffusion: A graph-based tag suggestion method for folksonomies

Z Liu, C Shi, M Sun - … Retrieval Technology: 6th Asia Information Retrieval …, 2010 - Springer
Collaborative social tagging is a popular and convenient way to organize web resources. All
tags compose into a semantic structure named as folksonomies. Automatic tag suggestions …

Exploiting extra-textual and linguistic information in keyphrase extraction

G Berend - Natural Language Engineering, 2016 - cambridge.org
Keyphrases are the most important phrases of documents that make them suitable for
improving natural language processing tasks, including information retrieval, document …

The role of cores in recommender benchmarking for social bookmarking systems

S Doerfel, R Jäschke, G Stumme - ACM Transactions on Intelligent …, 2016 - dl.acm.org
Social bookmarking systems have established themselves as an important part in today's
Web. In such systems, tag recommender systems support users during the posting of a …

Automatic free-text-tagging of online news archives

R Farkas, G Berend, I Hegedűs, A Kárpáti, B Krich - ECAI 2010, 2010 - ebooks.iospress.nl
In this paper, we shall introduce the problem of free-text-tagging of online news archives.
From an application point of view, it has many benefits for online news portals and on the …

[PDF][PDF] Contextualization, user modeling and personalization in the social web

F Abel, Q Gao, GJ Houben… - … of Extended Semantic …, 2011 - edok01.tib.uni-hannover.de
Social Web stands for the culture of participation and collaboration on the Web. Structures
emerge from social interactions: social tagging enables a community of users to assign …