The Hedge Algorithm for Metasearch at TREC 2007

Aslam, Pavlu, and Savell [3] introduced the Hedge algorithm for metasearch which effectively combines the ranked lists of documents returned by multiple retrieval systems in response to a given query. It has been demonstrated that the Hedge algorithm is an effective technique for metasearch, often significantly exceeding the performance of standard metasearch and IR techniques over small TREC collections. In this work, we explore the effectiveness of Hedge as an automatic metasearch engine over the much larger GOV2 collection on about 1700 topics as part of the Million Query Track of TREC 2007.

• Type: Conference
• Year: 2007
• Where: TREC
• Authors: Javed A. Aslam, Virgiliu Pavlu, Olena Zubaryeva
• Keywords: Automatic Metasearch Engine, Hedge Algorithm, Metasearch, TREC 2007, TREC 2008