Robotics & Machine Learning Daily News2024,Issue(Jul.25) :98-100.

Researchers Submit Patent Application, 'Systems And Methods For Detecting Mismat ched Content', for Approval (USPTO 20240232257)

Robotics & Machine Learning Daily News2024,Issue(Jul.25) :98-100.

Researchers Submit Patent Application, 'Systems And Methods For Detecting Mismat ched Content', for Approval (USPTO 20240232257)

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Abstract

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 goodsoften makes navigation a nd discovery of new digital goods an extremely difficult task. To cope with theconstantly growing complexity of navigating the large number of goods, users are typically able to discoverand 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 reasons, it is important that metadata for such media items be accurate. For example, when two artists withsimilar names are assigned the same artist identifier, whe n an album by one artist is mistakenly assignedan artist identifier for an arti st with a similar name, or when an a same artist is assigned two differentartis t identifiers, the content associated with the artist is said to be mismatched.”

Key words

Cyborgs/Emerging Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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