Exploration of the tradeoff between effectiveness and efficiency for results merging in federated search
Suleyman Cetintas, Luo Si · 2007
Federated search is the task of retrieving relevant documents from different information resources. One of the main research problems in federated search is to combine the results from different sources into a single ranked list. Recent work proposed a regression based method to download some documents from each ranked list of the different sources, calculated comparable scores for the documents and estimated mapping functions that transform source-specific scores into comparable scores. Experiments have shown that downloading more documents improves the accuracy of results merging. However downloading more documents increases the computation and communication costs.