Sparse factor analysis for analysis of user content preferences

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dc.contributor.assigneeRice Universityeng
dc.contributor.publisherUnited States Patent and Trademark Officeeng
dc.creatorBaraniuk, Richard G.
dc.creatorLan, Andrew S.
dc.creatorStuder, Christoph E.
dc.creatorWaters, Andrew E.
dc.date.accessioned2017-08-14T14:49:03Z
dc.date.available2017-08-14T14:49:03Z
dc.date.filed2014-03-15
dc.date.issued2017-07-11
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.eng
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 purposeseng
dc.format.extent95eng
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>.
dc.identifier.patentIDUS9704102B2eng
dc.identifier.urihttps://hdl.handle.net/1911/96656
dc.language.isoengeng
dc.titleSparse factor analysis for analysis of user content preferenceseng
dc.typeUtility patenteng
dc.type.dcmiTexteng
dc.type.genrepatentseng
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