Editorial: Reviews in recommender systems: 2022

被引:1
|
作者
Kowald, Dominik [1 ,2 ]
Yang, Deqing [3 ]
Lacic, Emanuel [4 ]
机构
[1] Know Ctr GmbH, Graz, Austria
[2] Graz Univ Technol, Inst Interact Syst & Data Sci, Graz, Austria
[3] Fudan Univ, Sch Data Sci, Shanghai, Peoples R China
[4] Infobip, Zagreb, Croatia
来源
FRONTIERS IN BIG DATA | 2024年 / 7卷
关键词
recommender systems; review; fairness; privacy; collaborative filtering;
D O I
10.3389/fdata.2024.1384460
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
引用
收藏
页数:3
相关论文
共 50 条
  • [11] Editorial: Reviews in cities in the Global South: 2022
    Sanusi, Ruzana
    Lata, Lutfun Nahar
    Mishra, Swasti Vardhan
    Iossifova, Deljana
    FRONTIERS IN SUSTAINABLE CITIES, 2024, 6
  • [12] Editorial: Reviews in psychiatry 2022: aging psychiatry
    Lakhan, Shaheen. E. E.
    FRONTIERS IN PSYCHIATRY, 2023, 14
  • [13] Editorial: Reviews in insect immune responses: 2022
    Liu, Qiuning
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [14] Recommender systems based on user reviews: the state of the art
    Chen, Li
    Chen, Guanliang
    Wang, Feng
    USER MODELING AND USER-ADAPTED INTERACTION, 2015, 25 (02) : 99 - 154
  • [15] Recommender systems based on user reviews: the state of the art
    Li Chen
    Guanliang Chen
    Feng Wang
    User Modeling and User-Adapted Interaction, 2015, 25 : 99 - 154
  • [16] Editorial: Reviews in carbon capture, utilization and storage: 2022
    Quaranta, Eugenio
    FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [17] EDITORIAL MESSAGE Special Track on Recommender Systems
    Zheng, Yong
    Zanker, Markus
    Chen, Li
    Symeonidis, Panagiotis
    Proceedings of the ACM Symposium on Applied Computing, 2022, : 1345 - 1346
  • [18] Integrating textual reviews into neighbor-based recommender systems
    Vy, Ho Thi Hoang
    Pham-Nguyen, Cuong
    Nam, Le Nguyen Hoai
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 249
  • [19] Incorporating User Reviews as Implicit Feedback for Improving Recommender Systems
    Dehkordi, Yasamin Heshmat
    Thomo, Alex
    Ganti, Sudhakar
    2014 IEEE FOURTH INTERNATIONAL CONFERENCE ON BIG DATA AND CLOUD COMPUTING (BDCLOUD), 2014, : 455 - 462
  • [20] Utilizing Textual Reviews in Latent Factor Models for Recommender Systems
    Aslanyan, Tatev Karen
    Frasincar, Flavius
    36TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2021, 2021, : 1931 - 1940