A Ringtone Recommendation Agent based on a Bayesian Model of User Emotion

被引:3
|
作者
Kim, Yongjun [1 ]
Cho, Sung-Bae [1 ]
机构
[1] Yonsei Univ, Dept Comp Sci, Seoul 120749, South Korea
来源
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1 | 2009年
关键词
Context-aware; Recommendation System; Intelligent Agent; Personalization; Bayesian Network;
D O I
10.1109/ICICISYS.2009.5357783
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a ringtone recommendation agent system which utilizes user's emotion to recommend an appropriate ringtone and the suitable volume level of a mobile phone The system uses a Bayesian Network (BN) to infer user's emotion and the volume level at the current situation After inferring user's emotion, a ringtone is selected from the pool of various kinds of genres of ringtones Also, the volume level can be controlled according to the inferred volume level User's feedback on the inferred values can be used to retrain the BN to provide the user with a personalized service. Experimental results showed that the proposed system. is quite convenient and very useful
引用
收藏
页码:542 / 546
页数:5
相关论文
共 50 条
  • [41] Community-Based User Domain Model Collaborative Recommendation Algorithm
    Fulan Qian
    Yanping Zhang
    Yuan Zhang
    Zhen Duan
    Tsinghua Science and Technology, 2013, 18 (04) : 353 - 359
  • [42] Community-Based User Domain Model Collaborative Recommendation Algorithm
    Qian, Fulan
    Zhang, Yanping
    Zhang, Yuan
    Duan, Zhen
    TSINGHUA SCIENCE AND TECHNOLOGY, 2013, 18 (04) : 353 - 359
  • [43] Collaborative Filtering Recommendation Model Based on User's Credibility Clustering
    Zhao Xu
    Qiao Fuqiang
    PROCEEDINGS OF THIRTEENTH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING AND SCIENCE, (DCABES 2014), 2014, : 234 - 238
  • [44] A Novel Recommendation Service Method Based on Cloud Model and User Personality
    Yao, Jing
    Hu, Zhigang
    Ma, Hua
    Jiang, Bingting
    DATA SCIENCE, PT 1, 2017, 727 : 179 - 191
  • [45] Online education recommendation model based on user behavior data analysis
    Wei, Pengcheng
    Li, Li
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 37 (04) : 4725 - 4733
  • [46] A Collaborative Filtering Recommendation Algorithm Model Based on User Feature Transfer
    Han, Jing
    International Journal of Emerging Technologies in Learning, 2023, 18 (22) : 197 - 213
  • [47] A Resource Recommendation Method Based on User Taste Diffusion Model in Folksonomies
    Wu, Jiangning
    Shi, Yunfei
    Guo, Chonghui
    INTERNATIONAL JOURNAL OF KNOWLEDGE AND SYSTEMS SCIENCE, 2012, 3 (01) : 18 - 30
  • [48] Detection of Shilling Attack Based on Bayesian Model and User Embedding
    Yang, Fan
    Gao, Min
    Yu, Junliang
    Song, Yuqi
    Wang, Xinyi
    2018 IEEE 30TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI), 2018, : 639 - 646
  • [49] User Emotion and Personality in Context-aware Travel Destination Recommendation
    Ishanka, U. A. Piumi
    Yukawa, Takashi
    2018 5TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATICS: CONCEPTS, THEORY AND APPLICATIONS (ICAICTA 2018), 2018, : 13 - 18
  • [50] Behavior Decision Model of Intelligent Agent Based on Artificial Emotion
    Wang Guojiang
    Wang Xiaoxiao
    Fu Kechang
    2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 4, 2010, : 185 - 189