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Post-based collaborative filtering for personalized tag recommendation

Published: 08 February 2011 Publication History

Abstract

Social tagging provides a collaborative approach for information organization. The tags created by users in social tagging system not only contain rich semantic information about the described web objects, but also provide a window for information providers to learn a user's information interests and preferences. However, the tags created by a user for a document are always limited in terms of quantity and quality. Tag recommendation, especially personalized tag recommendation has been proposed as an approach to address this problem. In this paper, we develop a post-based collaborative filtering framework for personalized tag recommendation based on the tripartite social tagging network. The proposed method is evaluated and compared with a range of methods based on a real world social tagging dataset. The F-score and NDCG calculated to evaluate the recommendation results. The experimental results show that the proposed method can always generate the best results compared to other methods.

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  • (2023)Pairwise Metric Learning With Angular Margin for Tag RecommendationIEEE Access10.1109/ACCESS.2023.324609011(27020-27033)Online publication date: 2023
  • (2020)Recommendation system based on semantic scholar mining and topic modeling on conference publicationsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-020-05397-325:5(3675-3696)Online publication date: 3-Nov-2020
  • (2018)Tag recommendation method in folksonomy based on user tagging statusJournal of Intelligent Information Systems10.1007/s10844-017-0468-150:3(479-500)Online publication date: 1-Jun-2018
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cover image ACM Other conferences
iConference '11: Proceedings of the 2011 iConference
February 2011
858 pages
ISBN:9781450301213
DOI:10.1145/1940761
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 08 February 2011

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Author Tags

  1. personalized recommendation
  2. social annotation
  3. social tagging
  4. tag recommendation

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iConference '11
iConference '11: iConference 2011
February 8 - 11, 2011
Washington, Seattle, USA

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Cited By

View all
  • (2023)Pairwise Metric Learning With Angular Margin for Tag RecommendationIEEE Access10.1109/ACCESS.2023.324609011(27020-27033)Online publication date: 2023
  • (2020)Recommendation system based on semantic scholar mining and topic modeling on conference publicationsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-020-05397-325:5(3675-3696)Online publication date: 3-Nov-2020
  • (2018)Tag recommendation method in folksonomy based on user tagging statusJournal of Intelligent Information Systems10.1007/s10844-017-0468-150:3(479-500)Online publication date: 1-Jun-2018
  • (2018)Tag-Based RecommendationSocial Information Access10.1007/978-3-319-90092-6_12(441-479)Online publication date: 3-May-2018
  • (2011)Sentiment analysis for online reviews using an author-review-object modelProceedings of the 7th Asia conference on Information Retrieval Technology10.1007/978-3-642-25631-8_33(362-371)Online publication date: 18-Dec-2011
  • (2011)Topic analysis for online reviews with an author-experience-object-topic modelProceedings of the 7th Asia conference on Information Retrieval Technology10.1007/978-3-642-25631-8_28(303-314)Online publication date: 18-Dec-2011

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