网络音频资源集合组织中的用户行为规律与偏好揭示
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摘要
[目的/意义]区别于文献资源集合,网络音频资源集合的组织具有更强的个性化特征,其用户偏好的揭示不仅可拓展数字资源集合组织行为规律,亦有助于网络音频资源服务水平的提升。[方法/过程]选择代表性网络音频资源分享平台中的用户自组织音频资源集合作为样本,通过对音频资源集合名称的高频热词分析,探究用户创建网络音频资源集合逻辑与组织偏好。[结果/结论]相较于文献资源集合组织中对文献资源类型、学科领域等的强调,用户在创建网络音频资源集合时具有优先情感表达(内部归因),其次进行风格、主题、语种描述(外部归因)的组织规律和行为偏好。
[Purpose/Significance]Different from the collection of document resources,the organization of network audio resource collection has stronger personalized features.The analysis of user preferences can not only expand the rules of organizing digital resource collections,but also improve the network audio services.[Method/Process]The user self-organizing audio resource collections on one representative network audio resource sharing platform was selected as a sample.Through the high frequency hot words analysis of the name of each audio resource collection,the organizing logic and preference were explored.[Result/Conclusion]Compared with the emphasis on the literature resource type and subject area in the literature resource collection organization,user usually gave priority to the expression of emotions(internal attribution)when creating a collection of network audio resources,followed by descriptions of the style,subject,and language(external attribution).
[Purpose/Significance]Different from the collection of document resources,the organization of network audio resource collection has stronger personalized features.The analysis of user preferences can not only expand the rules of organizing digital resource collections,but also improve the network audio services.[Method/Process]The user self-organizing audio resource collections on one representative network audio resource sharing platform was selected as a sample.Through the high frequency hot words analysis of the name of each audio resource collection,the organizing logic and preference were explored.[Result/Conclusion]Compared with the emphasis on the literature resource type and subject area in the literature resource collection organization,user usually gave priority to the expression of emotions(internal attribution)when creating a collection of network audio resources,followed by descriptions of the style,subject,and language(external attribution).
引文
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[3]袁小一,俞毅.资源集合元数据标准探析[J].情报理论与实践,2007,30(5):671-673.
[4]张海霞,刘炜.资源集合/个体资源元数据关系描述及实现[J].现代图书情报技术,2009,(3):23-29.
[5]赵蓉英,王篙,董克.国内馆藏资源聚合模式研究综述[J].图书情报工作,2014,58(18):138-143.
[6]肖希明,刘巧园.国外公共数字文化资源整合研究进展[J].中国图书馆学报,2015,41(5):63-75.
[7]唐义,肖希明,周力虹.我国公共数字文化资源整合模式构建研究[J].图书馆杂志,2016,35(7):12-25.
[8]Marcos A,Roberto R,Luis A.Cross-repository Aggregation of Educational Resources[J].Computers & Education,2018,(117):31-49.
[9]Jones D.Collection Development in the Digital Library[J].Science & Technology Libraries,1999,(3-4):17-27.
[10]张源漳.论数字图书馆音频资源的制作与发布[J].图书馆论坛,2004,24(3):77-79.
[11]覃燕梅.高校图书馆视音频资源数据库的建设及其知识产权问题[J].图书馆学刊,2008,(2):114-116.
[12]肖定斌.论媒体音频资源的内容价值与整合开发[J].情报探索,2013,(4):100-102.
[13]王铮,刘红煦.图书馆音频资源建设的挑战与应对策略——以欧洲Europeana Sounds和美国《国家录音保存计划》为例[J].情报资料工作,2017,(1):75-81.
[14]李丹丹.音乐社交:网易云音乐的互动仪式链研究[D].重庆:西南大学,2016:29-31.
[15]范佳健.微博评论信息的聚类分析[D].合肥:安徽大学,2017:25-28.
[16]王宝春.音乐是情感的语言——浅谈音乐与情感[J].科教导刊,2013,(11):90,102.
[17]全国13所高等院校《社会心理学》编写组.社会心理学[M].天津:南开大学,2008:117-121.
[18]刘萍,叶方倩.基于认知观的信息搜寻行为研究综述[J].情报科学,2017,(1):161-166.
[19]邓胜利.用户个性特征对信息行为影响的研究进展[J].情报理论与实践,2014,37(5):119-122.
[20]Ulrich R O,Albert S,Roberta V,et al.Using Attribution Theory to Explain Tourists' Attachments to Place-based Brands[J].Journal of Business Research,2012,65(9):1321-1327.
[21]林鑫,周知.用户认知对标签使用行为的影响分析——基于电影社会化标注数据的实证分析[J].情报理论与实践,2015,38(10):85-88.