8. A system for predicting search results quality, the system comprising: at least one processor configured by machine-readable instructions to: receive a search query from a user; obtain a plurality of search results from each of a plurality of content sources based on the search query, wherein the plurality of search results from each content source is ranked based on their relevance scores with respect to the search query; normalize a distribution of the relevance scores of the plurality of search results for each of the plurality of content sources in each position of the ranking by building an order-statistic model based on a first set of the plurality of search results from the each content source and by generating estimated relevance scores of a second set of the plurality of search results from the each content source based on the order-statistic model, wherein the first set is different from the second set; compute a metric for each of the plurality of content sources based on the normalized distribution of the relevance scores, wherein the metric indicates a relevance between the respective plurality of search results from the content source and the search query, rank the plurality of content sources based on the metrics associated with the plurality of content sources, identify one or more search results from at least one content source that has a higher ranking, and provide the one or more search results to the user as a response to the search query.
8. A system for predicting search results quality, the system comprising: at least one processor configured by machine-readable instructions to: receive a search query from a user; obtain a plurality of search results from each of a plurality of content sources based on the search query, wherein the plurality of search results from each content source is ranked based on their relevance scores with respect to the search query; normalize a distribution of the relevance scores of the plurality of search results for each of the plurality of content sources in each position of the ranking by building an order-statistic model based on a first set of the plurality of search results from the each content source and by generating estimated relevance scores of a second set of the plurality of search results from the each content source based on the order-statistic model, wherein the first set is different from the second set; compute a metric for each of the plurality of content sources based on the normalized distribution of the relevance scores, wherein the metric indicates a relevance between the respective plurality of search results from the content source and the search query, rank the plurality of content sources based on the metrics associated with the plurality of content sources, identify one or more search results from at least one content source that has a higher ranking, and provide the one or more search results to the user as a response to the search query. 12. The system of claim 8 , wherein the estimated relevance scores of the second set is generated based on the positions of the second set in the ranking.