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上下文感知推荐系统：挑战和机遇

ALI Waqar,  邵杰,  KHAN Abdullah Aman,  TUMRANI Saifullah

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文章导航 > 电子科技大学学报  > 2019 >  48(5): 655-673
ALI Waqar, 邵杰, KHAN Abdullah Aman, TUMRANI Saifullah. 上下文感知推荐系统：挑战和机遇[J]. 电子科技大学学报, 2019, 48(5): 655-673. doi: 10.3969/j.issn.1001-0548.2019.05.002
引用本文: ALI Waqar, 邵杰, KHAN Abdullah Aman, TUMRANI Saifullah. 上下文感知推荐系统：挑战和机遇[J]. 电子科技大学学报, 2019, 48(5): 655-673. doi: 10.3969/j.issn.1001-0548.2019.05.002
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ALI Waqar, SHAO Jie, KHAN Abdullah Aman, TUMRANI Saifullah. Context-Aware Recommender Systems: Challenges and Opportunities[J]. Journal of University of Electronic Science and Technology of China, 2019, 48(5): 655-673. doi: 10.3969/j.issn.1001-0548.2019.05.002
Citation: ALI Waqar, SHAO Jie, KHAN Abdullah Aman, TUMRANI Saifullah. Context-Aware Recommender Systems: Challenges and Opportunities[J]. Journal of University of Electronic Science and Technology of China, 2019, 48(5): 655-673. doi: 10.3969/j.issn.1001-0548.2019.05.002
shu

上下文感知推荐系统：挑战和机遇

doi: 10.3969/j.issn.1001-0548.2019.05.002
  • 1.

    电子科技大学计算机科学与工程学院 成都 611731;

  • 2.

    拉合尔大学信息技术学院 拉合尔 巴基斯坦 54000

基金项目: 

国家自然科学基金（61672133）

详细信息
    作者简介:

    ALI Waqar (1980-),男,博士生,主要从事人工智能和数据挖掘方面的研究.

    通讯作者: 邵杰,E-mail:shaojie@uestc.edu.cn

  • 中图分类号: TP301.6

Context-Aware Recommender Systems: Challenges and Opportunities

  • 1.

    School of Computer Science and Engineering,University of Electronic Science and Technology of China Chengdu 611731;

  • 2.

    Faculty of Information Technology,University of Lahore Lahore Pakistan 54000

Funds: 

Supported by the National Natural Science Foundation of China under Grant(61672133)

More Information
    Author Bio:

    ALI Waqar (1980-),男,博士生,主要从事人工智能和数据挖掘方面的研究.

  • 摘要: 该文梳理了社会和科学领域中上下文感知推荐系统的主要概念、技术、挑战和未来趋势；其次，分类介绍了可用于基于上下文的推荐的一系列技术和主要框架。除了经典的基于内容、基于协同过滤和基于矩阵分解的技术之外，调研了最近的研究方向，即基于深度学习和基于模糊逻辑的方法。最后，描述了在推荐过程中利用上下文信息的潜在研究机会。
    Abstract: In this review, we attempt to highlight major concepts, techniques, challenges and future trends of context-aware recommender systems in social and scientific domains. The primary objective of this paper is to sum up the most recent developments in this rich knowledge area. A set of techniques and major frameworks available for context-based recommender systems are classified and introduced. Along with classical content-based, collaborative filtering and matrix factorization based techniques, we investigate the most recent research areas, i.e., deep learning and fuzzy logic based methodologies. Finally, we close by portraying potential future research opportunities with respect to utilizing context information in recommendation process.
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出版历程
  • 收稿日期:  2019-07-01
  • 修回日期:  2019-09-05
  • 刊出日期:  2019-09-15

上下文感知推荐系统：挑战和机遇

doi: 10.3969/j.issn.1001-0548.2019.05.002
  • 1. 电子科技大学计算机科学与工程学院 成都 611731;
  • 2. 拉合尔大学信息技术学院 拉合尔 巴基斯坦 54000
    • 基金项目:

    国家自然科学基金（61672133）

    作者简介:

    ALI Waqar (1980-),男,博士生,主要从事人工智能和数据挖掘方面的研究.

    通讯作者: 邵杰,E-mail:shaojie@uestc.edu.cn
  • 收稿日期: 2019-07-01
  • 修回日期: 2019-09-05
  • 刊出日期: 2019-09-15

  • 中图分类号: TP301.6

摘要: 该文梳理了社会和科学领域中上下文感知推荐系统的主要概念、技术、挑战和未来趋势；其次，分类介绍了可用于基于上下文的推荐的一系列技术和主要框架。除了经典的基于内容、基于协同过滤和基于矩阵分解的技术之外，调研了最近的研究方向，即基于深度学习和基于模糊逻辑的方法。最后，描述了在推荐过程中利用上下文信息的潜在研究机会。

English Abstract

ALI Waqar, 邵杰, KHAN Abdullah Aman, TUMRANI Saifullah. 上下文感知推荐系统：挑战和机遇[J]. 电子科技大学学报, 2019, 48(5): 655-673. doi: 10.3969/j.issn.1001-0548.2019.05.002
引用本文: ALI Waqar, 邵杰, KHAN Abdullah Aman, TUMRANI Saifullah. 上下文感知推荐系统：挑战和机遇[J]. 电子科技大学学报, 2019, 48(5): 655-673. doi: 10.3969/j.issn.1001-0548.2019.05.002
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ALI Waqar, SHAO Jie, KHAN Abdullah Aman, TUMRANI Saifullah. Context-Aware Recommender Systems: Challenges and Opportunities[J]. Journal of University of Electronic Science and Technology of China, 2019, 48(5): 655-673. doi: 10.3969/j.issn.1001-0548.2019.05.002
Citation: ALI Waqar, SHAO Jie, KHAN Abdullah Aman, TUMRANI Saifullah. Context-Aware Recommender Systems: Challenges and Opportunities[J]. Journal of University of Electronic Science and Technology of China, 2019, 48(5): 655-673. doi: 10.3969/j.issn.1001-0548.2019.05.002
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