大数据时代下的推荐书目与经典阅读推荐  被引量:13

Recommended bibliography and classic reading recommendation in the big data era

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作  者:丁文祎[1] 

机构地区:[1]苏州大学凤凰传媒学院,215000

出  处:《大学图书情报学刊》2014年第6期20-23,共4页Journal of Academic Library and Information Science

基  金:国家社科基金重点项目(10ATQ003)

摘  要:21世纪,在信息洪流的推动之下,我国的推荐书目和经典阅读推荐进入了大数据时代。在大数据时代特有的大量、高速、多样、价值差异化信息环境之下,有些人开始质疑推荐书目的价值和可行性,而更多的学者则坚信在大数据时代下人们将会更加需要推荐书目。文章就大数据时代下推荐书目与经典阅读推荐的争议、特点与发展展开讨论,并重点分析了当代公共图书馆经典阅读推荐的发展与变化。With the great impetus of the information deluge in the 21 st century,both the recommendation of bibliography and classic reading in China have entered the big data era. Some people begin to doubt the value and practicality of the recommended bibliography under the special environment of the big data era, which is characterized for the alienation of quantitative,instant and various information. On the contrary,many researchers believe that recommended bibliography is of greater interest and more badly needed under the big data era in the days to come. This paper aims at the discussion of the controversy,features and the developing trend of the recommended bibliography and classic reading recommendation. The development and changes brought about to public libraries by the recommended bibliography are penetratingly analyzed in the article.

关 键 词:推荐书目 导读书目 大数据 经典阅读 阅读推荐 公共图书馆 

分 类 号:G252.1[文化科学—图书馆学]

 

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