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Published in:
2012 | OriginalPaper | Chapter
Evaluation of Retrieval Results
Author : Shengli Wu
Published in: Data Fusion in Information Retrieval
Publisher: Springer Berlin Heidelberg
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Evaluating retrieval results is a key issue for information retrieval systems as well as data fusion methods. One common assumption is that the retrieval result is presented as a ranked list of documents. Under such an assumption, we review some retrieval evaluation systems including binary relevance judgment, graded relevance judgment, and incomplete relevance judgment.We also introduce some metrics that will be used later in this book.