首页|Researchers Submit Patent Application, 'Systems And Methods For Detecting Mismat ched Content', for Approval (USPTO 20240134907)
Researchers Submit Patent Application, 'Systems And Methods For Detecting Mismat ched Content', for Approval (USPTO 20240134907)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - From Washington, D.C., NewsRx journali sts report that a patent application by the inventors Hristova, Desi (London, GB ); Montecchio, Nicola (Berlin, DE); Regan, Brian (London, GB), filed on October 19, 2022, was made available online on April 25, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: “Recent years have shown a remarkable growth in consumption of digital goods such as digital music, movies, books, and podcasts, among many others. The overwhelmingly large number of these goods often makes navigation a nd discovery of new digital goods an extremely difficult task. To cope with the constantly growing complexity of navigating the large number of goods, users are typically able to discover and navigate to sets of content items using search q ueries and/or by viewing pages of related content, such as artist information pa ges that include content associated with the particular artist. For these reason s, it is important that metadata for such media items be accurate. For example, when two artists with similar names are assigned the same artist identifier, whe n an album by one artist is mistakenly assigned an artist identifier for an arti st with a similar name, or when an a same artist is assigned two different artis t identifiers, the content associated with the artist is said to be mismatched.”
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