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Exploiting ranking factorization machines for microblog retrieval
2013
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13
Learning to rank method has been proposed for practical application in the field of information retrieval. When employing it in microblog retrieval, the significant interactions of various involved features are rarely considered. In this paper, we propose a Ranking Factorization Machine (Ranking FM) model, which applies Factorization Machine model to microblog ranking on basis of pairwise classification. In this way, our proposed model combines the generality of learning to rank framework with
doi:10.1145/2505515.2505648
dblp:conf/cikm/QiangLY13
fatcat:r7x4hqvrabgcjfxlzwee55luhe