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IF 0.1 0 HUMANITIES, MULTIDISCIPLINARY
Murphy J. Stephen, G. Mark
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引用次数: 84

Abstract

Taking their cue from the recommendation systems of Amazon and Netflix, which use networks of like-minded customers to suggest new titles to users, the authors investigate how networks in little magazines a hundred years ago helped readers navigate an overloaded literary market by recommending to them a taste for modernism. Focusing on The Freewoman, The New Freewoman and The Egoist—and drawing on data generated by the Modernist Journals Project—this essay shows how authors in these magazines' review and co-appearance networks became increasingly well-connected, and appeared more frequently, as the magazines became more modernistic and exclusive over time.
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亚马逊和Netflix的推荐系统利用志同道合的顾客网络向用户推荐新书,两位作者从亚马逊和Netflix的推荐系统中得到启发,研究了100年前小杂志中的网络如何通过向读者推荐现代主义的品味,帮助他们在超负荷的文学市场中导航。这篇文章以《自由女人》、《新自由女人》和《利己主义者》为重点,并利用现代主义期刊项目产生的数据,展示了这些杂志的评论和共同出现网络中的作者如何变得越来越紧密地联系在一起,并且随着时间的推移,这些杂志变得越来越现代和独家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Modern Periodical Studies
Journal of Modern Periodical Studies Arts and Humanities-Visual Arts and Performing Arts
CiteScore
0.10
自引率
0.00%
发文量
8
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