ACM Transactions on Recommender Systems

美国

发文量 111

被引量 417

ACM Transactions on Recommender Systems (TORS) publishes high quality papers that address various aspects of recommender systems research, from algorithms to the user experience, to questions of the impact and value of such systems, on a quarterly basis. The journal takes a holistic view on the field and calls for contributions from different subfields of computer science and information systems, such as machine learning, data mining, information retrieval, web-based systems, data science and big data, and human-computer interaction. Moreover, interdisciplinary research works are welcome as well. Such works may either be based on insights from related fields, e.g., marketing or psychology, or apply recommendation technology in novel application areas.

主办单位： Association for Computing Machinery

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出版文献

期刊详情

新发布(2025版)

分析评价

vol.4 (2026)
vol.4 (2026)

3 2 1
vol.4 (2025)
vol.4 (2025)
vol.3 (2025)
vol.3 (2025)
vol.1 (2023)
vol.1 (2023)

封面

2026年3期

共：14篇

Benigni, MichaelDacrema, Maurizio FerrariJannach, Dietmar

1-69
Xiao, QiXiao, JingPan, WeikeMing, Zhong

1-28
Rampisela, Theresia VeronikaMaistro, MariaRuotsalo, TuukkaScholer, FalkLioma, Christina

1-45
Yu, YiSugiyama, KazunariJatowt, Adam

1-31
Kaur, KirandeepGupta, VinayakChadha, ManyaShah, Chirag

1-31
Do, Jaime HieuLe, Trung-HoangLauw, Hady

1-27
Li, YangDu, JunpengWang, ChenzhanLi, ZunlongZh, XiaominLin, Chen

1-24
De Kerpel, LukasBenoit, Dries

1-23
Jannach, DietmarChen, Li

1-15
da Silva, Diego CorreaJannach, Dietmar

1-32
Dokoupil, PatrikPeska, Ladislav

1-28
Iana, AndreeaGlavas, GoranPaulheim, Heiko

1-36
Treuillier, CelinaCastagnos, SylvainDufraisse, EvanOzgobek, OzlemBrun, Armelle

1-36
Kathriarachchi, EranjanaAlam, ShafiqRashid, Salman

1-34