The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Cross-domain collaboration recommendation
Abstract
Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patterns of cross-domain collaborations? How do those collaborations form? Can we predict this type of collaborations?
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Cites
Griffiths, T. L., & Steyvers, M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307752101 · Cited by 6,049
ArnetMiner: extraction and mining of academic social networks
Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., & Su, Z. (2008) · Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1401890.1402008 · Cited by 2,231
Self-citationRelational learning via latent social dimensions
Tang, L., & Liu, H. (2009) · Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1557019.1557109 · Cited by 799
Cited by
LCARS: a location-content-aware recommender system
Yin, H., Sun, Y., Cui, B., Hu, Z., & Chen, L. (2013) · Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2487575.2487608 · Cited by 331
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
Towards Universal Sequence Representation Learning for Recommender Systems
Hou, Y., Mu, S., Zhao, W. X., Li, Y., Ding, B., & Wen, J.-R. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · doi:10.1145/3534678.3539381 · Cited by 313
Xia, F., Wang, W., Bekele, T. M., & Liu, H. (2017) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2016.2641460 · Cited by 266
Deep learning of transferable representation for scalable domain adaptation
Long, M., Wang, J., Cao, Y., Sun, J., & Yu, P. S. (2016) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2016.2554549 · Cited by 191
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Metadata
- Authors
- Tang, J., Wu, S., Sun, J., & Su, H.
- Venue
- Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
- Publisher
- ACM
- Published
- 2012-08-12
- Pages
- 1285-1293
- OpenAlex
- W2127201730
- Cited by
- 292
- References
- 3
- FWCI
- 63.66
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Tang, J., Wu, S., Sun, J., & Su, H. (2012). Cross-domain collaboration recommendation. Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. https://doi.org/10.1145/2339530.2339730
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.
