Offline Shop Recommendation based On Online Shopping History

被引：0
|
作者：
Mo, Chongji [1 ]
Chen, Congcong [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Software, Shanghai 200240, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON EDUCATION TECHNOLOGY, MANAGEMENT AND HUMANITIES SCIENCE (ETMHS 2015) | 2015年 / 27卷
关键词：
Recommender system; O2O;
D O I：
暂无
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
Most existing POI recommender systems is facing the problem of sparsely of data. In this paper, an O2O (Online to Offline) recommendation method is proposed, which can take advantage of users' online shopping history data. User behavior is converted to user preference, modeled as user and interest-term matrix. Based on the model, the result list of offline shop is recommended by O2O recommendation algorithm. The algorithm is implemented, and experiments on the real dataset show the feasibility of the method.
引用
收藏
页码：962 / 965
页数：4
相关论文
共 50 条
  • [31] Will Online Shopping Lead to More Brand Loyalty Than Offline Shopping? The Role of Uncertainty Avoidance
    Guo, Bingxuan
    Wang, Dian
    [J]. JOURNAL OF MARKETING RESEARCH, 2024, 61 (01) : 92 - 109
  • [32] Online Shopping Therapy: If You Want to Be Happy, Shop around
    Zulauf, Katrin
    Wagner, Ralf
    [J]. JOURNAL OF INTERNATIONAL CONSUMER MARKETING, 2022, 34 (03) : 332 - 345
  • [33] Overcoming Neighbor-Hood Based Collaborative Filtering in the Online Shopping for the User Recommendation
    Maheshwari, G. Uma
    Suguna, N.
    [J]. 2013 INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN ENGINEERING AND TECHNOLOGY (ICCTET), 2013, : 399 - 401
  • [34] Contrasting Offline and Online Results when Evaluating Recommendation Algorithms
    Rossetti, Marco
    Stella, Fabio
    Zanker, Markus
    [J]. PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16), 2016, : 31 - 34
  • [35] Uncovering the reasons behind consumers' shift from online to offline shopping
    Kim, Hyo-Jeong
    Han, Sang Man
    [J]. JOURNAL OF SERVICES MARKETING, 2023, 37 (09) : 1201 - 1217
  • [36] A pervasive comparison shopping business model for integrating offline and online marketplace
    Lee, Kyoung Jun
    Seo, Young Hwan
    [J]. 2006 ICEC: EIGHTH INTERNATIONAL CONFERENCE ON ELECTRONIC COMMERCE, PROCEEDINGS: THE NEW E-COMMERCE: INNOVATIONS FOR CONQUERING CURRENT BARRIERS, OBSTACLES AND LIMITATIONS TO CONDUCTING SUCCESSFUL BUSINESS ON THE INTERNET, 2006, : 289 - 294
  • [37] Online Shop and Online-Shopping - 2. Examples. Suppliers of shop software - Experiences of the printing industry
    Maass, D.
    [J]. Deutscher Drucker Stuttgart, 2000, 36 (45):
  • [38] Research on the Effect of the Recommendation System on Customer Online Shopping Experience
    Liu, J.
    Hu, G. Z.
    Yu, Y.
    Yi, W. J.
    Zuo, L. L.
    [J]. 2017 14TH INTERNATIONAL CONFERENCE ON SERVICES SYSTEMS AND SERVICES MANAGEMENT (ICSSSM), 2017,
  • [39] Let's Shop Online Together: An Empirical Investigation of Collaborative Online Shopping Support
    Zhu, Lei
    Benbasat, Izak
    Jiang, Zhenhui
    [J]. INFORMATION SYSTEMS RESEARCH, 2010, 21 (04) : 872 - 891
  • [40] One-to-One Recommendation System in Apparel Online Shopping
    Sekozawa, Teruji
    Mitsuhashi, Hiroyuki
    Ozawa, Yukio
    [J]. ELECTRONICS AND COMMUNICATIONS IN JAPAN, 2011, 94 (01) : 51 - 60
12345