Learning User Preferences Without Feedbacks

被引：0
|
作者：
Zhang, Wei [1 ]
Challis, Chris [2 ]
机构：
[1] Adobe Inc, Mclean, VA 22102 USA
[2] Adobe Inc, Lehi, UT USA
来源：
2021 IEEE 8TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA) | 2021年
关键词：
D O I：
10.1109/DSAA53316.2021.9564131
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recommending relevant data is vital for helping users to navigate through the ocean of data. We developed a service that learns user preferences through natural user interactions, without asking for user feedbacks, so users are not distracted from their regular workflow. Our approach has few parameters and very low time and space complexities, making it suitable for large scale applications. We demonstrate through experiments how it converges to user preferences and adapts to user behavior changes.
引用
收藏
页数：2
相关论文
共 50 条
  • [1] Learning user preferences on the WEB
    Jacquenet, F
    Brenot, P
    RESEARCH AND DEVELOPMENT IN KNOWLEDGE DISCOVERY AND DATA MINING, 1998, 1394 : 385 - 387
  • [2] Learning User Preferences in an Anxious Home
    Tibben, Hayley
    West, Geoff
    SMART HOMES AND BEYOND, 2006, 19 : 188 - +
  • [3] Learning Fuzzy SPARQL User Preferences
    Slama, Olfa
    Yazidi, Anis
    2019 IEEE 31ST INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2019), 2019, : 1457 - 1462
  • [4] Online Learning with Diverse User Preferences
    Gan, Chao
    Yang, Jing
    Zhou, Ruida
    Shen, Cong
    2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2019, : 2539 - 2543
  • [5] Learning User Preferences in Mechanism Design
    Chorppath, Anil Kumar
    Alpcan, Tansu
    2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 5349 - 5355
  • [6] Learning User Preferences in Ubiquitous Systems: A User Study and a Reinforcement Learning Approach
    Zaidenberg, Sofia
    Reignier, Patrick
    Mandran, Nadine
    ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, 2010, 339 : 336 - +
  • [7] Learning Drifting User Interest Incrementally from Numerically Labeled Feedbacks
    Zhang, Pin
    Pu, Juhua
    Liu, Yongli
    Xiong, Zhang
    2008 INTERNATIONAL SEMINAR ON FUTURE INFORMATION TECHNOLOGY AND MANAGEMENT ENGINEERING, PROCEEDINGS, 2008, : 69 - 72
  • [8] Learning drifting user interest incrementally from numerically labeled feedbacks
    Zhang, Pin
    Pu, Juhua
    Liu, Yongli
    Xiong, Zhang
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2009, 35 (09): : 1057 - 1061
  • [9] Learning User Preferences By Adaptive Pairwise Comparison
    Qian, Li
    Gao, Jinyang
    Jagadish, H. V.
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2015, 8 (11): : 1322 - 1333
  • [10] Learning Optimal Subsets with Implicit User Preferences
    Guo, Yunsong
    Gomes, Carla
    21ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-09), PROCEEDINGS, 2009, : 1052 - 1057
12345