Abstract
This paper describes Peking University’s approach to the Ad Hoc Track. In our first participation, results for all four tasks were submitted: the Best In Context, the Focused, the Relevance In Context and the Thorough. Based on retrieval method Okapi BM25, we implement two different ranking methods NormalBM25 and LearningBM25 according to different parameter settings. Specially, the parameters used in LearningBM25 are learnt by a new learning method called ListBM. The evaluation result shows that LearningBM25 is able to beat NormalBM25 in most tasks.
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Gao, N., Deng, ZH., Xiang, YQ., Hang, Y. (2010). ListBM: A Learning-to-Rank Method for XML Keyword Search. In: Geva, S., Kamps, J., Trotman, A. (eds) Focused Retrieval and Evaluation. INEX 2009. Lecture Notes in Computer Science, vol 6203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14556-8_9
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DOI: https://doi.org/10.1007/978-3-642-14556-8_9
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