This invention describes a system that improves search results for media when a user enters multiple queries one after another. It works by analyzing a second search query in relation to a previous one, for instance, by checking if they were entered close together in time or if phrases in the second query match existing information. This helps the system understand the user's evolving intent and provide more relevant media suggestions.
Why it matters: Filed before the widespread adoption of advanced large language models. These models now excel at understanding context, merging queries, and inferring relationships between sequential user inputs, making the core mechanisms of this invention significantly more feasible and powerful.
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