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ACM Transactions on Information Systems is a peer-reviewed journal published by ACM, covering Recommender Systems and Techniques, Topic Modeling, Advanced Graph Neural Networks. Over its lifetime it has published 1,611 papers, which have received 114,091 citations.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM Transactions on Information Systems 12, 3, Article 45 (2023).
Formats any DOI in ACM Transactions on Information Systems style. No sign-up. |
| Publishes research in | Recommender Systems and Techniques Topic Modeling Advanced Graph Neural Networks Information Retrieval and Search Behavior Data Management and Algorithms |
| ISSN | 1046-8188 |
| Citation impact (2-yr) | 10.93 |
| h-index | 153 |
| i10-index | 1,044 |
| Top institutions publishing here | Tsinghua University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Recommender systems have been evaluated in many, often incomparable, ways. In this article, we review the key decisions in evaluating collaborative filtering recommender systems: the user tasks being evaluated, the types of analysis and datasets being used, the ways in which prediction quality is measured, the evaluation of prediction attributes other than quality, and the…
Modern large retrieval environments tend to overwhelm their users by their large output. Since all documents are not of equal relevance to their users, highly relevant documents should be identified and ranked first for presentation. In order to develop IR techniques in this direction, it is necessary to develop evaluation approaches and methods that credit…
A novel system for the location of people in an office environment is described. Members of staff wear badges that transmit signals providing information about their location to a centralized location service, through a network of sensors. The paper also examines alternative location techniques, system design issues and applications, particularly relating to telephone call routing.…
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems ---a personalized information filtering technology used to identify a set of items that will be of interest to a certain user. User-based collaborative filtering is the most successful technology for building recommender systems to date and…
In this article, we build on and extend research into the cognitions and values of users and designers by proposing a systematic approach for examining the underlying assumptions, expectations, and knowledge that people have about technology. Such interpretations of technology (which we call technological frames) are central to understanding technological development, use, and change in…
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