ISSN 0253-2778

CN 34-1054/N

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Open AccessOpen Access JUSTC Original Paper

Campus encyclopedia platform based on knowledge recommendation

  • Network and Information Center, University of Science and Technology of China,Hefei 230026,China

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2020.08.005
  • Received Date: 05 June 2020
  • Accepted Date: 21 August 2020
  • Rev Recd Date: 21 August 2020
  • Publish Date: 31 August 2020
    Abstract

  • Abstract

    In 2018, University of Science and Technology of China (USTC) released its encyclopedia platform of the university, which provides intelligent and digital means to accumulate and disperse cultural knowledge of the university. The release of Encyclopedia Platform aims to build up a knowledge base of the campus culture, encouraging the staff and students to actively participate in the recording and sharing of the unique campus culture of USTC, and provides intelligent retrieval and knowledge recommendation services. We present a thorough analysis of the key intelligent technologies of the encyclopedia platform, i.e., hierarchical multi-label classification, intelligent retrieval technologies, tags and collaborative filtering based recommendations, and introduce the architecture and the key functions of the platform. Finally, we briefly discuss its usage statistics.

    Abstract

    In 2018, University of Science and Technology of China (USTC) released its encyclopedia platform of the university, which provides intelligent and digital means to accumulate and disperse cultural knowledge of the university. The release of Encyclopedia Platform aims to build up a knowledge base of the campus culture, encouraging the staff and students to actively participate in the recording and sharing of the unique campus culture of USTC, and provides intelligent retrieval and knowledge recommendation services. We present a thorough analysis of the key intelligent technologies of the encyclopedia platform, i.e., hierarchical multi-label classification, intelligent retrieval technologies, tags and collaborative filtering based recommendations, and introduce the architecture and the key functions of the platform. Finally, we briefly discuss its usage statistics.
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    • References(11)
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    王静. 中文维基百科类别推荐研究[D]. 武汉:华中师范大学, 2016.
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    DYE J. Folksonomy: A Game of High-tech (and High-staked) Tag [J]. E Content, 2006, 29(3): 38-43.
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    VOSS J. Collaborative thesaurus tagging the Wikipediaway[EB/OL].[2006-04-27]. http://arxiv.org/abs/cs.IR/0604036.
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    SILLA C N, FREITAS A A. A survey of hierarchical classification across different application domains [J]. Data Mining & Knowledge Discovery, 2011, 22(1-2):31-72.
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    READ J, PFAHRINGER B , HOLMES G, et al.Classifier chains for multi-label classification [J]. Machine Learning, 2011, 85(3):333.
    [6]
    孙红莺, 次仁拉珍, 叶鹰. 基于标签的数字图书馆个性化信息检索[J]. 杭州师范学院学报: 自然科学版, 2008,7(5):387-391.
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    HATCHER E, GOSPODNETIC O. Lucene in Action [M]. USA: Manning Publications Co., 2004:50-350.
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    KONONENKO O, BAYSAL O, HOLMES R, et al. Mining modern repositories with elasticsearch[C]// ACM, 2014:328-331.
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    HERLOCKER J L, KONSTAN J A, TERVEEN L G, et al. Evaluating collaborative filtering recommender systems[J]. ACM Transactions on Information Systems (TOIS), 2004, 22(1): 5-53.
    [10]
    周万珍, 曹迪, 许云峰等. 推荐系统研究综述[J] . 河北科技大学学报, 2020, 41(1) : 76-87.
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    肖运文.基于ElasticSearch的教育资源推荐系统设计与实现[D].北京：北京工业大学，2016.)
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    [1]
    王静. 中文维基百科类别推荐研究[D]. 武汉:华中师范大学, 2016.
    [2]
    DYE J. Folksonomy: A Game of High-tech (and High-staked) Tag [J]. E Content, 2006, 29(3): 38-43.
    [3]
    VOSS J. Collaborative thesaurus tagging the Wikipediaway[EB/OL].[2006-04-27]. http://arxiv.org/abs/cs.IR/0604036.
    [4]
    SILLA C N, FREITAS A A. A survey of hierarchical classification across different application domains [J]. Data Mining & Knowledge Discovery, 2011, 22(1-2):31-72.
    [5]
    READ J, PFAHRINGER B , HOLMES G, et al.Classifier chains for multi-label classification [J]. Machine Learning, 2011, 85(3):333.
    [6]
    孙红莺, 次仁拉珍, 叶鹰. 基于标签的数字图书馆个性化信息检索[J]. 杭州师范学院学报: 自然科学版, 2008,7(5):387-391.
    [7]
    HATCHER E, GOSPODNETIC O. Lucene in Action [M]. USA: Manning Publications Co., 2004:50-350.
    [8]
    KONONENKO O, BAYSAL O, HOLMES R, et al. Mining modern repositories with elasticsearch[C]// ACM, 2014:328-331.
    [9]
    HERLOCKER J L, KONSTAN J A, TERVEEN L G, et al. Evaluating collaborative filtering recommender systems[J]. ACM Transactions on Information Systems (TOIS), 2004, 22(1): 5-53.
    [10]
    周万珍, 曹迪, 许云峰等. 推荐系统研究综述[J] . 河北科技大学学报, 2020, 41(1) : 76-87.
    [11]
    肖运文.基于ElasticSearch的教育资源推荐系统设计与实现[D].北京：北京工业大学，2016.)
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