Social mobile application using a proprietary matching algorithm based on collaborative filtering

被引:0
|
作者
Jereczek, Dawid [1 ]
Budnarowski, Dawid [2 ]
机构
[1] Uniwersytet Gdanski, Katedra Informatyki Ekonomicznej, Ul Piaskowa 9, PL-81864 Sopot, Poland
[2] Uniwersytet Morski Gdyni, Zaklad Telekomunikacji Morskiej, Ul Morska 81-87,8-25 Gdynia, Gdynia, Poland
来源
PRZEGLAD ELEKTROTECHNICZNY | 2024年 / 100卷 / 08期
关键词
Flutter; mobile application; matching algorithm; collaborative filtering;
D O I
10.15199/48.2024.08.44
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
. The article presents a proprietary mobile application named Utibi. The main goal of the Utibi app is to assist in finding and connecting people with similar interests and activities, as well as forming new friendships and relationships. Utibi relies on modern technologies used for managing social relationships. Every user of the application is described by a set of personality traits, strengths, values, interests, and things they want to improve on. The scientific novelty is the implementation of a proprietary matching algorithm based on a modified version of collaborative filtering. The task of the algorithm is to effectively match and connect groups of people with similar characteristics and needs according to current psychological knowledge.
引用
收藏
页码:215 / 218
页数:4
相关论文
共 50 条
  • [21] A Collaborative Filtering Recommendation Algorithm for Social Interaction
    Zhang, Jinglong
    Huang, Mengxing
    Zhang, Yu
    2017 14TH WEB INFORMATION SYSTEMS AND APPLICATIONS CONFERENCE (WISA 2017), 2017, : 245 - 250
  • [22] Item Recommendation Using Collaborative Filtering in Mobile Social Games: A Case Study
    Tao, Zhaojie
    Cheung, Ming
    She, James
    Lam, Ringo
    2014 IEEE FOURTH INTERNATIONAL CONFERENCE ON BIG DATA AND CLOUD COMPUTING (BDCLOUD), 2014, : 293 - 297
  • [23] Coating matching recommendation based on improved fuzzy comprehensive evaluation and collaborative filtering algorithm
    Yuan Xin
    Bu Henan
    Niu Jianmin
    Yu Wenjuan
    Zhou Honggen
    Ji Xingyu
    Ye Pengfei
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [24] Coating matching recommendation based on improved fuzzy comprehensive evaluation and collaborative filtering algorithm
    Yuan Xin
    Bu Henan
    Niu Jianmin
    Yu Wenjuan
    Zhou Honggen
    Ji Xingyu
    Ye Pengfei
    Scientific Reports, 11
  • [25] Application of Collaborative Filtering Algorithm in Education Platform based on Pattern Recognition
    Ren, Qiong
    2014 SIXTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA), 2014, : 117 - 120
  • [26] Collaborative filtering algorithm based on data mixing and filtering
    Cheng X.
    Feng L.
    Gui Q.
    International Journal of Performability Engineering, 2019, 15 (08): : 2267 - 2276
  • [27] Evaluation of Collaborative Filtering Techniques for Mobile and Web Application Based Recommendation System
    Kaya, Fidan
    Yildiz, Gurel
    Kavak, Adnan
    ICECCO'12: 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION, 2012, : 315 - 318
  • [28] Trust -based collaborative filtering algorithm
    Xu, Xiaowei
    Wang, Fudong
    2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 1, 2012, : 321 - 324
  • [29] A COLLABORATIVE FILTERING ALGORITHM BASED ON BICLUSTERING
    Zhou, Weixing
    Zhang, Gege
    Zha, Xiaorong
    Li, Mehiang
    Hu, Xiaohui
    Xue, Yun
    PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOL. 2, 2015, : 533 - 538
  • [30] Using a Social-Based Collaborative Filtering with Classification Techniques
    Berkani, Lamia
    COMPUTATIONAL INTELLIGENCE AND ITS APPLICATIONS, 2018, 522 : 267 - 278