Information Retrieval Questions
The Okapi BM25 ranking function is a ranking algorithm used in information retrieval systems to determine the relevance of a document to a given query. It is based on the probabilistic retrieval framework and takes into account factors such as term frequency, document length, and document frequency. The formula for calculating the BM25 score involves the term frequency, document frequency, and average document length, among other parameters. The higher the BM25 score, the more relevant the document is considered to be for the given query.