News Column

Patent Issued for Music Recommendation Using Emotional Allocation Modeling

February 25, 2014



By a News Reporter-Staff News Editor at Journal of Technology -- From Alexandria, Virginia, VerticalNews journalists report that a patent by the inventors Cai, Rui (Beijing, CN); Zhang, Lei (Beijing, CN); Ma, Wei-Ying (Beijing, CN), filed on May 7, 2008, was published online on February 11, 2014.

The patent's assignee for patent number 8650094 is Microsoft Corporation (Redmond, WA).

News editors obtained the following quote from the background information supplied by the inventors: "The growth of music resources on personal devices and Internet radio has altered the channels for music sales and increased the need for music recommendations. For example, store-based and mail-based CD sales are dropping while music portals for electronic distribution of music (bundled or unbundled) like iTunes, MSN Music, and Amazon are increasing.

"To further increase music sales, techniques to generate recommendations are now being used to help consumers find more interesting songs. Many commercial systems such as Amazon.com, Last.fm (http://www.last.fm), and Pandora (http://www.pandora.com) have developed particular approaches for music recommendation. For example, Amazon.com and Last.fm adopt collaborative filtering (CF)-based technologies to generate recommendations. For example, if two users have similar preferences for some music songs, then these techniques assume that these two users tend to have similar preferences for other songs (e.g., song that they may not already own or are aware of). In practice, such user preference is discovered through mining user buying histories. Some other companies such as Pandora utilize content-based technologies for music recommendations. This technique recommends songs with similar acoustic characteristics or meta-information (like composer, theme, style . . . ).

"Although the aforementioned techniques have shown some degree of effectiveness in practice, however, most conventional techniques for generating music recommendations operate in a passive mode. For example, such passive techniques require consumers to first log on some portal sites and then take some actions to get suggestions. In other words, these recommendation services are passive and need to be triggered by users.

"As described herein, various exemplary methods, devices, systems, etc., generate music recommendations and optionally buying options for consumers. Various exemplary techniques operate actively to enhance user experience, especially when applied to Web browsing."

As a supplement to the background information on this patent, VerticalNews correspondents also obtained the inventors' summary information for this patent: "An exemplary method includes defining a vocabulary for emotions; extracting descriptions for songs; generating distributions for the songs in an emotion space based at least in part on the vocabulary and the extracted descriptions; extracting salient words from a document; generating a distribution for the document in an emotion space based at least in part on the vocabulary and the extracted salient words; and matching the distribution for the document to one or more of the distributions for the songs. Various other exemplary methods, devices, systems, etc., are also disclosed."

For additional information on this patent, see: Cai, Rui; Zhang, Lei; Ma, Wei-Ying. Music Recommendation Using Emotional Allocation Modeling. U.S. Patent Number 8650094, filed May 7, 2008, and published online on February 11, 2014. Patent URL: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=21&u=%2Fnetahtml%2FPTO%2Fsearch-bool.html&r=1006&f=G&l=50&co1=AND&d=PTXT&s1=20140211.PD.&OS=ISD/20140211&RS=ISD/20140211

Keywords for this news article include: Technology, Microsoft Corporation.

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Source: Journal of Technology


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