Semantic tag recommendation using concept model

Chenliang Li, Anwitaman Datta, Aixin Sun
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
The common tags given by multiple users to a particular document are often semantically relevant to the document and each tag represents a specific topic. In this paper, we attempt to emulate human tagging behavior to recommend tags by considering the concepts contained in documents. Specifically, we represent each document using a few most relevant concepts contained in the document, where the concept space is derived from Wikipedia. Tags are then recommended based on the tag concept model
more » ... ved from the annotated documents of each tag. Evaluated on a Delicious dataset of more than 53K documents, the proposed technique achieved comparable tag recommendation accuracy as the state-of-the-art, while yielding an order of magnitude speed-up.
doi:10.1145/2009916.2010098 dblp:conf/sigir/LiDS11 fatcat:wdmnvykkujdxhcnxq5wqvbplwm