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Semantic tag recommendation using concept model
Abstract The common tags given by multiple users toThe 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 derived 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.e yielding an order of magnitude speed-up.
Abstractsub The common tags given by multiple users toThe 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 derived 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.e yielding an order of magnitude speed-up.
Bibtextype inproceedings  +
Doi 10.1145/2009916.2010098  +
Has author Chenliang Li + , Anwitaman Datta + , Aixin Sun +
Has extra keyword Concept model + , Concept space + , Dataset + , Multiple user + , Recommendation accuracy + , Speed-ups + , Tag recommendation + , Wikipedia + , Behavioral research + , Semantics + , Information retrieval +
Has keyword Concept model + , Semantic tag + , Tag recommendation + , Wikipedia +
Isbn 9781450309349  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 1159–1160  +
Published in SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval +
Title Semantic tag recommendation using concept model +
Type conference paper  +
Year 2011 +
Creation dateThis property is a special property in this wiki. 8 November 2014 05:31:16  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 05:31:16  +
DateThis property is a special property in this wiki. 2011  +
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