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Experience-Based Critiquing: Reusing Critiquing Experiences to Improve Conversational Recommendation

机译:基于经验的评论:重复使用评论经验以改进会话推荐

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摘要

Product recommendation systems are now a key part of many e-commerce services and have proven to be a successful way to help users navigate complex product spaces. In this paper, we focus on critiquing-based recommenders, which permit users to tweak the features of recommended products in order to refine their needs and preferences. In this paper, we describe a novel approach to reusing past critiquing histories in order to improve overall recommendation efficiency.
机译:产品推荐系统现在是许多电子商务服务的关键部分,并且已被证明是帮助用户浏览复杂产品空间的成功方法。在本文中,我们重点介绍基于批判的推荐器,这些推荐器允许用户调整推荐产品的功能,以完善他们的需求和偏好。在本文中,我们描述了一种重用过去的批评历史的新颖方法,以提高总体推荐效率。

著录项

  • 来源
  • 会议地点 Alessandria(IT);Alessandria(IT)
  • 作者单位

    CLARITY: Centre for Sensor Web Technologies School of Computer Science and Informatics University College Dublin, Belfield, Dublin 4, Ireland;

    CLARITY: Centre for Sensor Web Technologies School of Computer Science and Informatics University College Dublin, Belfield, Dublin 4, Ireland;

    CLARITY: Centre for Sensor Web Technologies School of Computer Science and Informatics University College Dublin, Belfield, Dublin 4, Ireland;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化系统;
  • 关键词

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