• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on computational linguistics >Authorship Identification for Literary Book Recommendations
【24h】

Authorship Identification for Literary Book Recommendations

机译：文学书籍推荐的作者身份确认

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Book recommender systems can help promote the practice of reading for pleasure, which has been declining in recent years. One factor that influences reading preferences is writing style. We propose a system that recommends books after learning their authors' style. To our knowledge, this is the first work that applies the information learned by an author-identification model to book recommendations. We evaluated the system according to a top-k recommendation scenario. Our system gives better accuracy when compared with many state-of-the-art methods. We also conducted a qualitative analysis by checking if similar books/authors were annotated similarly by experts.
机译：推荐书系统可以帮助促进休闲阅读的实践，近年来这种趋势一直在下降。影响阅读偏好的一个因素是写作风格。我们提出了一种系统，可在学习作者的风格后为他们推荐书籍。就我们所知，这是将作者识别模型所学信息应用到书本推荐中的第一篇著作。我们根据top-k推荐方案对系统进行了评估。与许多最新方法相比，我们的系统具有更高的准确性。我们还通过检查专家是否对相似的书籍/作者进行了类似的注释来进行定性分析。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号