Titlebook: Information Retrieval Technology; 7th Asia Information Mohamed Vall Mohamed Salem,Khaled Shaalan,Halim Kh Conference proceedings 2011 Sprin

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Query-Dependent Rank Aggregation with Local Modelsge the results of different local models. Experimental results show that our approaches are better than all rank-based aggregation approaches and some global models in LETOR4. Especially, we found that our approaches have better performance in dealing with difficult queries.

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效果

Conference proceedings 2011teractive information retrieval; Web information retrieval, scalability and adversarial information retrieval; machine learning for information retrieval; natural language processing for information retrieval; arabic script text processing and retrieval.

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Construct Weak Ranking Functions for Learning Linear Ranking Functionwhen constructing the weak ranking functions, and propose two normalization selection methods to decide which normalization should be used for a specific ranking feature. The experimental results show that the final ranking functions based on normalization selection methods significantly outperform the original one.