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Your search keyword '"Social tag recommendation"' showing total 3 results
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3 results on '"Social tag recommendation"'

1. Using WordNet-Based Neighborhood for Improving Social Tag Recommendation

Author

Zhu, Ya-Tao, Liu, Sheng-Hua, Cheng, Xue-Qi, Liu, Yue, Wang, Yuan-Zhuo, Liu, Jin-Gang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Huang, De-Shuang, editor, Ma, Jianhua, editor, Jo, Kang-Hyun, editor, and Gromiha, M. Michael, editor

Published
2012
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2. Domain-Specific Term Rankings Using Topic Models

Author

Liu, Zhiyuan, Sun, Maosong, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Cheng, Pu-Jen, editor, Kan, Min-Yen, editor, Lam, Wai, editor, and Nakov, Preslav, editor

Published
2010
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3. Measuring vertex centrality in co-occurrence graphs for online social tag recommendation

Author

Ivan Cantador, Vallet, D., Jose, J. M., UAM. Departamento de Ingeniería Informática, and Recuperación de información (ING EPS-008)

Subjects
Informática, Social tag recommendation
Abstract

Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073), Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, Bled, Slovenia, September 7, 2009., We present a social tag recommendation model for collaborative bookmarking systems. This model receives as input a bookmark of a web page or scientific publication, and automatically suggests a set of social tags useful for annotating the bookmarked document. Analysing and processing the bookmark textual contents - document title, URL, abstract and descriptions - we extract a set of keywords, forming a query that is launched against an index, and retrieves a number of similar tagged bookmarks. Afterwards, we take the social tags of these bookmarks, and build their global co-occurrence sub-graph. The tags (vertices) of this reduced graph that have the highest vertex centrality constitute our recommendations, wh, This research was supported by the European Commission under contracts FP6-027122-SALERO, FP6-033715-MIAUCE and FP6-045032 SEMEDIA. The expressed content is the view of the authors but not necessarily the view of SALERO, MIAUCE and SEMEDIA projects as a whole

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