Research with LensKit
LensKit is intended to be particularly useful in recommender systems research.
If you use LensKit in published research, cite:
Michael D. Ekstrand. 2020. LensKit for Python: Next-Generation Software for Recommender Systems Experiments. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM '20). doi 10.1145/3340531.3412778. arXiv:1809.03125 [cs.IR].
BibTeX
@inproceedings{LKPY,
title={LensKit for Python: Next-Generation Software for Recommender Systems Experiments},
booktitle={Proceedings of the 29th ACM International Conference on Information and Knowledge Management},
DOI={10.1145/3340531.3412778},
author={Ekstrand, Michael D.},
year={2020},
month={Oct},
extra={arXiv:1809.03125}
}
We would appreciate it if you sent a copy of your published paper to ekstrand@acm.org, so we can know where LensKit is being used and add it to this list. Following is a list of papers that have used the Python version of LensKit; we maintain a separate list of ones using the Java version.
Original LensKit (Java)
If you publish research that uses the old Java version of LensKit, cite:
Michael D. Ekstrand, Michael Ludwig, Joseph A. Konstan,
and John T. Riedl. 2011. Rethinking The Recommender Research Ecosystem:
Reproducibility, Openness, and LensKit. In Proceedings
of the Fifth ACM Conference on Recommender Systems (RecSys ’11). ACM,
New York, NY, USA, 133-140. DOI=10.1145/2043932.2043958.
BibTeX
@INPROCEEDINGS{LensKit,
title = "Rethinking the Recommender Research Ecosystem: Reproducibility, Openness, and {LensKit}",
booktitle = "Proceedings of the Fifth {ACM} Conference on Recommender Systems",
author = "Ekstrand, Michael D and Ludwig, Michael and Konstan, Joseph A and Riedl, John T",
publisher = "ACM",
pages = "133--140",
series = "RecSys '11",
year = 2011,
url = "http://doi.acm.org/10.1145/2043932.2043958",
conference = "RecSys '11",
doi = "10.1145/2043932.2043958"
}