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Discounted cumulative gain - Wikipedia

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Discounted cumulative gain (DCG) is a measure of ranking quality in information retrieval. It is often normalized so that it is comparable across queries, giving Normalized DCG (nDCG or NDCG). NDCG is often used to measure effectiveness of search engine algorithms and related applications. Using a graded relevance scale of documents in a search-engine result set, DCG sums the usefulness, or gain, of the results discounted by their position in the result list.[1] NDCG is DCG normalized by the maximum possible DCG of the result set when ranked from highest to lowest gain, thus adjusting for the different numbers of relevant results for different queries. Two assumptions are made in using DCG and its related measures. DCG is a refinement of a simpler measure, Cumulative Gain (CG).[2] Cumulative Gain is the sum of the graded relevance values of all results in a search result list. CG does not take into account the rank (position) of a result in the result list. The CG at a particular rank

Discounted cumulative gain - Wikipedia Jump to content From Wikipedia, the free encyclopedia Measure of ranking quality Discounted cumulative gain ( DCG ) [ 1 ] is a measure of ranking quality in information retrieval . It is often normalized so that it is comparable across queries, giving Normalized DCG (nDCG or NDCG) [ 2 ] . NDCG is often used to measure effectiveness of search engine algorithms and related applications. Using a graded relevance scale of documents in a search-engine result set, DCG sums the usefulness, or gain , of the results discounted by their position in the result list.

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