使用基于svm的学习进行多目标排序的经验

Proceedings of the 19th ACM international conference on Information and knowledge management Pub Date : 2010-10-26 DOI:10.1145/1871437.1871763

L. Nguyen, Wai Gen Yee, Roger Liew, O. Frieder

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引用次数: 2

摘要

我们描述了我们应用学习排序技术来提高在线酒店预订系统的搜索结果质量的经验。我们使用的搜索结果质量因素是平均预订位置和排名靠前的搜索结果的利润分布。(我们预计总收益将随着这些因素而增加。)我们对SVMRank技术的应用使预订头寸提高了25%，利润分配提高了14%。

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Experiences with using SVM-based learning for multi-objective ranking

We describe our experiences in applying learning-to-rank techniques to improving the quality of search results of an online hotel reservation system. The search result quality factors we use are average booking position and distribution of margin in top-ranked results. (We expect that total revenue will increase with these factors.) Our application of the SVMRank technique improves booking position by up to 25% and margin distribution by up to 14%.

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Proceedings of the 19th ACM international conference on Information and knowledge management

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