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In the realm of Information Retrieval (IR) and Web Search, evaluating systems is crucial to determine their effectiveness and relevance. With a myriad of retrieval models, algorithms, and systems available, the challenge lies in identifying the best one for specific tasks. Factors such as ranking functions, including dot-product and cosine similarity, play a critical role in how documents are ranked according to user queries. This exploration highlights the significance of systematic evaluation to enhance retrieval performance and user satisfaction.
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