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The core mechanism of recommendation engines in financial information scenarios is a three-stage process of "candidate generation—scoring and ranking—presentation"; the candidate generation stage recalls items potentially relevant to the user from multi-source data, the scoring and ranking stage computes priority by combining relevance, timeliness, user historical behavior, and position characteristics, and the presentation stage decides in what form and at what time to push to the user.
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10/22/2026
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