The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Social matching: A framework and research agenda
Abstract
Social matching systems bring people together in both physical and online spaces. They have the potential to increase social interaction and foster collaboration. However, social matching systems lack a clear intellectual foundation: the nature of the design space, the key research challenges, and the roster of appropriate methods are all ill-defined. This article begins to remedy the situation. It clarifies the scope of social matching systems by distinguishing them from other recommender systems and related systems and techniques. It identifies a set of issues that characterize the design space of social matching systems and shows how existing systems explore different points within the design space. It also reviews selected social science results that can provide input into system design. Most important, the article presents a research agenda organized around a set of claims. The claims embody our understanding of what issues are most important to investigate, our beliefs about what is most likely to be true, and our suggestions of specific research directions to pursue.
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Cites
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Explaining collaborative filtering recommendations
Herlocker, J. L., Konstan, J. A., & Riedl, J. (2000) · Proceedings of the 2000 ACM conference on Computer supported cooperative work · doi:10.1145/358916.358995 · Cited by 1,731
Computer Networks As Social Networks
Wellman, B. (2001) · Science · doi:10.1126/science.1065547 · Cited by 918
Techniques for addressing fundamental privacy and disruption tradeoffs in awareness support systems
Hudson, S. E., & Smith, I. (1996) · Proceedings of the 1996 ACM conference on Computer supported cooperative work · doi:10.1145/240080.240295 · Cited by 344
Socially translucent systems: social proxies, persistent conversation, and the design of “babble”
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Why distance matters: effects on cooperation, persuasion and deception
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Multistakeholder recommendation: Survey and research directions
Abdollahpouri, H., Adomavicius, G., Burke, R., Guy, I., Jannach, D., Kamishima, T., Krasnodebski, J., & Pizzato, L. (2020) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-019-09256-1 · Cited by 319
Graph pattern matching: from intractable to polynomial time
Fan, W., Li, J., Ma, S., Tang, N., Wu, Y., & Wu, Y. (2010) · Proceedings of the VLDB Endowment · doi:10.14778/1920841.1920878 · Cited by 285
Sharing Knowledge and Expertise: The CSCW View of Knowledge Management
Ackerman, M. S., Dachtera, J., Pipek, V., & Wulf, V. (2013) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-013-9192-8 · Cited by 229
Palomares, I., Porcel, C., Pizzato, L., Guy, I., & Herrera-Viedma, E. (2021) · Information Fusion · doi:10.1016/j.inffus.2020.12.001 · Cited by 109
Sociotechnical Challenges and Progress in Using Social Media for Health
Munson, S. A., Cavusoglu, H., Frisch, L., & Fels, S. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2792 · Cited by 57
Metadata
- Authors
- Terveen, L., & McDonald, D. W.
- Venue
- ACM Transactions on Computer-Human Interaction
- Published
- 2005-09
- Volume
- 12
- Issue
- 3
- Pages
- 401-434
- ISSN
- 1073-0516 (ISSN-L)
- 1557-7325
- OpenAlex
- W2031484081
- Cited by
- 315
- References
- 8
- FWCI
- 39.65
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- Terveen, L., & McDonald, D. W. (2005). Social matching: A framework and research agenda. ACM Transactions on Computer-Human Interaction. https://doi.org/10.1145/1096737.1096740
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
