Table 1. Metadata fields that are searched (with boost weight) for relevance ranking
Each search result gets a relevance score based on various factors. The result with the highest score comes first in the relevance ranking of the search results.
The relevance score is determined by the following:
The number of hits of a search term in all uae rcs data the metadata elements that are searched in each dataset record. A study record where the search term is found ten times scores higher than a study where the search terms is found five times.
The relative weight of the specific metadata fields where the search term is found. Some key field such as title, study number, abstract, topic, data creator and keyword are given a higher weight to help relevance ranking. The relative weight of each field is shown in Table 1. This ensures that search results where both ‘energy’ and ‘prices’ are found in the study title will come at the top of the search results, higher than search results that have one word in the title, or that have the search terms in other areas of the metadata record.
The relative length (as number of words) of the metadata field in which the search term is found. If ‘energy’ is found in a study title of just three words it scores higher than if it is found in a title of ten words. If ‘energy prices’ is found in an abstract of 200 words it scores higher than in an abstract of 1000 words.
Within groups of search results that have the same score, the results are ordered in descending order of version date, which is the date that a dataset was last published or updated. That means that within a series of studies that have the same or a similar title and the same or a similar abstract, if the various studies have the same relevance score, then the results will show in descending order of year with the most recently published first.