MOFSRank: A Multiobjective Evolutionary Algorithm for Feature Selection in Learning to Rank
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DOI: 10.1155/2018/7837696
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References listed on IDEAS
- Mehrnoush Barani Shirzad & Mohammad Reza Keyvanpour, 2018. "A Systematic Study of Feature Selection Methods for Learning to Rank Algorithms," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 8(3), pages 46-67, July.
- Yuan Lin & Hongfei Lin & Kan Xu & Xiaoling Sun, 2013. "Learning to rank using smoothing methods for language modeling," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(4), pages 818-828, April.
- Yuan Lin & Hongfei Lin & Kan Xu & Xiaoling Sun, 2013. "Learning to rank using smoothing methods for language modeling," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(4), pages 818-828, April.
- Jaesung Lee & Wangduk Seo & Dae-Won Kim, 2018. "Effective Evolutionary Multilabel Feature Selection under a Budget Constraint," Complexity, Hindawi, vol. 2018, pages 1-14, March.
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