Sparse factor analysis for analysis of user content preferences

Simple item page
dc.contributor.assigneeRice Universityen_US
dc.contributor.publisherUnited States Patent and Trademark Officeen_US
dc.creatorBaraniuk, Richard G.en_US
dc.creatorLan, Andrew S.en_US
dc.creatorStuder, Christoph E.en_US
dc.creatorWaters, Andrew E.en_US
dc.date.accessioned2017-08-14T14:49:03Zen_US
dc.date.available2017-08-14T14:49:03Zen_US
dc.date.filed2014-03-15en_US
dc.date.issued2017-07-11en_US
dc.description.abstractA mechanism for discerning user preferences for categories of provided content. A computer receives response data including a set of preference values that have been assigned to content items by content users. Output data is computed based on the response data using a latent factor model. The output data includes at least: an association matrix that defines K concepts associated with the content items, wherein K is smaller than the number of the content items, wherein, for each of the K concepts, the association matrix defines the concept by specifying strengths of association between the concept and the content items; and a concept-preference matrix including, for each content user and each of the K concepts, an extent to which the content user prefers the concept. The computer may display a visual representation of the association strengths in the association matrix and/or the extents in the concept-preference matrix.en_US
dc.digitization.specificationsThis patent information was downloaded from the US Patent and Trademark website (http://www.uspto.gov/) as image-PDFs. The PDFs were OCRed for access purposesen_US
dc.format.extent95en_US
dc.identifier.citationBaraniuk, Richard G., Lan, Andrew S., Studer, Christoph E. and Waters, Andrew E., "Sparse factor analysis for analysis of user content preferences." Patent US9704102B2. issued 2017-07-11. Retrieved from <a href="https://hdl.handle.net/1911/96656">https://hdl.handle.net/1911/96656</a>.en_US
dc.identifier.patentIDUS9704102B2en_US
dc.identifier.urihttps://hdl.handle.net/1911/96656en_US
dc.language.isoengen_US
dc.titleSparse factor analysis for analysis of user content preferencesen_US
dc.typeUtility patenten_US
dc.type.dcmiTexten_US
dc.type.genrepatentsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
US9704102B2.pdf
Size:
4.57 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Rice Patents