Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit

RecSys 2011
Pages: 133 - 140
Published: Oct 23, 2011
Abstract
Recommender systems research is being slowed by the difficulty of replicating and comparing research results. Published research uses various experimental methodologies and metrics that are difficult to compare. It also often fails to sufficiently document the details of proposed algorithms or the evaluations employed. Researchers waste time reimplementing well-known algorithms, and the new implementations may miss key details from the original...
Paper Details
Title
Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit
Published Date
Oct 23, 2011
Journal
Pages
133 - 140
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