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基于Word2vec模型进行古诗词个性化推荐的研究

Research on Personalized Recommendation of Ancient Poetry Based on Word2vec Model
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摘要 古诗词是中华优秀传统文化上璀璨的明珠,两千年来,我国优秀诗人辈出,其诗作若满天繁星,内容丰富,影响深远。随着计算机技术的不断发展,推荐系统在我们的生活中处处可见,为越来越多的用户提供了便利。然而,目前对于古诗词的个性化智能推荐系统比较匮乏,绝大多数的诗词网站也只是对于诗词内容的简单展示,而非推荐,所以进行古诗词推荐方面的研究对于促进中华优秀传统文化的传播具有重要意义。本文基于Word2vec模型,通过利用网络上爬取的古诗词数据进行训练,实现了古诗词的个性化推荐。
作者 刘宗亮 黄浩
出处 《计算机科学与应用》 2018年第8期1292-1299,共8页 Computer Science and Application
基金 国家重点研发计划资助(2017YFB1400700)。
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