Context-Aware Systems and Applications. First International Conference, ICCASA 2012, Ho Chi Minh City, Vietnam, November 26-27, 2012, Revised Selected Papers

Research Article

User Preferences Elicitation and Exploitation in a Push-Delivery Mobile Recommender System

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  • @INPROCEEDINGS{10.1007/978-3-642-36642-0_21,
        author={Quang Nguyen and Thuan Hoang and Lan Ta and Cuong Ta and Phai Hoang},
        title={User Preferences Elicitation and Exploitation in a Push-Delivery Mobile Recommender System},
        proceedings={Context-Aware Systems and Applications. First International Conference, ICCASA 2012, Ho Chi Minh City, Vietnam, November 26-27, 2012, Revised Selected Papers},
        proceedings_a={ICCASA},
        year={2013},
        month={2},
        keywords={mobile recommender system push delivery user preferences elicitation critique-based recommendation live-user evaluation},
        doi={10.1007/978-3-642-36642-0_21}
    }
    
  • Quang Nguyen
    Thuan Hoang
    Lan Ta
    Cuong Ta
    Phai Hoang
    Year: 2013
    User Preferences Elicitation and Exploitation in a Push-Delivery Mobile Recommender System
    ICCASA
    Springer
    DOI: 10.1007/978-3-642-36642-0_21
Quang Nguyen1,*, Thuan Hoang1, Lan Ta1, Cuong Ta1, Phai Hoang1
  • 1: Hanoi University of Science and Technology
*Contact email: quangnn-fit@mail.hut.edu.vn

Abstract

Most existing recommender systems follow the pull-delivery approach, where the user must explicitly make request before receiving some product or service recommendations. However, in application domains where the availability of items changes quickly and often (e.g., recommendation of relevant promotions, events, etc.), the pull-delivery recommendation approach seems not effective in helping users keep track of their desired and interested items. In this paper, we present our proposed push-delivery mobile recommendation methodology that is capable of proactively delivering personalized recommendations to mobile users at appropriate context. The proposed recommendation methodology has been implemented in - a push mobile recommender system that helps users timely receive their interested promotions of commercial products from supermarkets and stores. We present here the experimental results of a live-user evaluation of that show the appropriateness of the proposed recommendation approach and the effectiveness of the system .