# TORS — ACM Transactions on Recommender Systems

- **Publisher**: ACM
- **ISSN**: 2770-6699
- **CCF rank**: C
- **Trackers**: 1
- **Canonical page**: https://www.myhuiban.com/journal/1186

## Call for papers

ACM Transactions on Recommender Systems (TORS) publishes high quality papers that address various aspects of recommender systems research, from algorithms to 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.

## Related conferences

- RecSys — ACM Conference on Recommender Systems — https://www.myhuiban.com/conference/890
- ACM ASIACCS — ACM ASIA Conference on Computer and Communications Security — https://www.myhuiban.com/conference/367
- ACM ISS — ACM Interactive Surfaces and Spaces Conference — https://www.myhuiban.com/conference/895
- ACM-BCB — ACM Conference on Bioinformatics, Computational Biology, and Health Informatics — https://www.myhuiban.com/conference/447
- ICC — International Conference on Communications — https://www.myhuiban.com/conference/318

## Related journals

- ACM Transactions on Computing for Healthcare — https://www.myhuiban.com/journal/1227
- ACM SIGMIS Database — https://www.myhuiban.com/journal/125
- ACM Transactions on Computer Systems — https://www.myhuiban.com/journal/2
- ACM Transactions on Information Systems — https://www.myhuiban.com/journal/104
- ACM Transactions on Intelligent Systems and Technology — https://www.myhuiban.com/journal/589

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Source: Conference Partner — https://www.myhuiban.com/journal/1186 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)