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Cited by 425

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Expertise recommender: a flexible recommendation system and architecture

Open access
McDonald, David W., Ackerman, Mark S.·2000·Proceedings of the 2000 ACM conference on Computer supported cooperative work

Abstract

Locating the expertise necessary to solve difficult problems is a nuanced social and collaborative problem. In organizations, some people assist others in locating expertise by making referrals. People who make referrals fill key organizational roles that have been identified by CSCW and affiliated research. Expertise locating systems are not designed to replace people who fill these key organizational roles. Instead, expertise locating systems attempt to decrease workload and support people who have no other options. Recommendation systems are collaborative software that can be applied to expertise locating. This work describes a general recommendation architecture that is grounded in a field study of expertise locating. Our expertise recommendation system details the work necessary to fit expertise recommendation to a work setting. The architecture and implementation begin to tease apart the technical aspects of providing good recommendations from social and collaborative concerns.

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Metadata

Authors
McDonald, D. W., & Ackerman, M. S.
Venue
Proceedings of the 2000 ACM conference on Computer supported cooperative work
Publisher
ACM
Published
2000-12
Pages
231-240
OpenAlex
W2083973186
Cited by
425
References
23
FWCI
14.83
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Expertise recommender: a flexible recommendation system and architecture. https://app.cochat.ai/papers/10.1145/358916.358994
The paper
McDonald, D. W., & Ackerman, M. S. (2000). Expertise recommender: a flexible recommendation system and architecture. Proceedings of the 2000 ACM conference on Computer supported cooperative work. https://doi.org/10.1145/358916.358994

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.