Automatic document prior feature selection for web retrieval

Jie Peng, Craig Macdonald, Iadh Ounis
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
Document prior features, such as Pagerank and URL depth, can improve the retrieval effectiveness of Web Information Retrieval (IR) systems. However, not all queries equally benefit from the application of a document prior feature. This paper aims to investigate whether the retrieval performance can be further enhanced by selecting the best document prior feature on a per-query basis. We present a novel method for selecting the best document prior feature on a per-query basis. We evaluate our
more » ... hnique on the TREC .GOV Web test collection and its associated TREC 2003 Web search tasks. Our experiments demonstrate the effectiveness and robustness of our proposed selection method.
doi:10.1145/1390334.1390490 dblp:conf/sigir/PengMO08 fatcat:sz5uc2if2rbrjmhbgy3fmbypoy