How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model - researchr publication

researchr

You are not signed in
Sign in
Sign up

Noor Ifada, Richi Nayak. How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model. In Paul N. Bennett, Vanja Josifovski, Jennifer Neville, Filip Radlinski, editors, Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016. pages 23-32, ACM, 2016. [doi]

Abstract is missing.

runs on WebDSL