ACM, the Association for Computing Machinery, today announced the launch of a new ACM Journal: Trades on Recommender Systems (TORS). Submissions are now being accepted through the publication’s submission site. The first issue will be published in the spring of 2023 and published on a quarterly basis going forward.
ACM Transactions on Recommender Systems (TORS) will publish high-quality articles that address various aspects of recommender system research. The journal takes a holistic view of the field and calls for contributions from different subfields of computer science and information systems, such as machine learning, data mining, information retrieval, systems web, data science and big data, and human-computer interaction. .
For example, publishers welcome articles on the latest algorithmic approaches to creating, filtering, and ranking recommendations. To present the latest advances, articles describing system architectures and their implementations will also be presented. Beyond purely technical considerations, research that studies the role of human-computer interaction on decision-making, as well as articles that analyze the impact of recommender systems on users, organizations and society, will also play a leading role in the review.
Particular emphasis will also be placed on how the systems are assessed. TOR the editors encourage the submission of articles that propose new ways to evaluate the effectiveness of recommender systems, such as new metrics, protocols, and user studies.
“We are particularly pleased that TOR will be a one-of-a-kind journal devoted exclusively to research on recommender systems,” explained Co-EiC Dietmar Jannach, University of Klagenfurt (Austria).“TOR comes at a very opportune time. As the impact of recommender systems continues to grow, more research is being published and more professionals are joining our ranks. All of this is reflected in the annual ACM RecSys conference, which was recently elevated to an “A” rank by the CORE conference ranking list. TOR will provide even more opportunities for researchers to publish their work. Members of our community will be able to publish research beyond the ACM RecSys conference page limits, and therefore will not be bound by the conference submission deadlines.
“Developing an effective recommender system requires input from computer science, as well as fields such as psychology and marketing,” added TOR Co-EiC Li Chen from Hong Kong Baptist University (China). “From the start, we imagined TOR as a multidisciplinary journal. Our goal is to publish outstanding research related to recommender systems across a wide range of disciplines. At the same time, we are also flexible about the format of contributions we will accept. Of course, traditional research papers will be the cornerstone of TOR content, but we will also welcome investigative articles, industry reports, reproducibility articles, opinion pieces and recorded reports. We want it to be an outlet where people from research and industry can access the full range of ideas that our field needs. We look forward to using TOR as an outstanding research platform that will advance our field.
In addition to Co-EiC Chen and Jannach, the TOR The editorial team is made up of countries from all over the world. Members of the TORS Editorial Board include: Julian McAuley, UCSD (USA); Christine Bauer, University of Utrecht (Netherlands); Joeran Beel, University of Siegen (Germany); Robin Burke, University of Colorado (USA); Pablo Castells, Universidad Autónoma de Madrid (Spain); Guibing Guo, Northeastern University (Shenyang, China); George Karypis, University of Minnesota (USA); Bart Knijnenburg, Clemson University (USA); Joe Konstan, University of Minnesota (USA); Bamshad Mobasher, DePaul University (USA); Weike Pan, University of Shenzhen (China); Francesco Ricci, Free University of Bolzano (Italy); Nava Tintarev, University of Maastricht (Netherlands); Martijn Willemsen, TU Eindhoven (Netherlands); Xing Xie, Microsoft Research Asia (China); Markus Zanker, Free University of Bolzano, Italy; Jie Zhang, NTU (Singapore); and Yongfeng Zhang, Rutgers University (USA).
ACM publishes more than 60 peer-reviewed scholarly journals in dozens of computing and information technology disciplines. Available in print and online, ACM’s high-impact, peer-reviewed journals are a large and comprehensive archive of computing innovation, covering emerging and established computing research for practical and theoretical applications. ACM journal editors are thought leaders in their fields, and ACM’s focus on rapid publication ensures minimal delay in communicating exciting new ideas and findings.
About ACM
ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing society, bringing together educators, researchers, and computing professionals to inspire dialogue, share resources, and address challenges in the field. ACM strengthens the collective voice of the IT profession through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for lifelong learning, career development and professional networking.
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