Abstract: This invention deals with the next generation improvements in recommendation systems. Retailers want to grow their business and increase sales. One embodiment displays recommendations for inside sales during calls to prospects via a CRM. Another embodiment improves genomic cross-sell by summing correlations between attributes. A third embodiment improves cross-channel personalization by linking personal information, preferably via a one-way hash, to a unique customer ID. A fourth embodiment enables a common core mobile app for different retailers. A fifth embodiment identifies a shopper before purchase to provide personal recommendations while shopping. A sixth embodiment utilizes a market place with shared customers for customer acquisition. A seventh embodiment utilizes customers' preferences and characteristics and sales data to influence recommendations. The characteristics can be combined into a shopper psychographic persona to generate recommendations.

Abstract: This invention deals with a computer-implemented method for using predictive analytics to find a second set of entries in a first array that are related to a first set of entries in the first array without directly calculating entry-to-entry similarities between entries in the first array, the method including: (a) identifying a target entry in a second array, wherein the first set of entries in the first array are linked to the target entry in the second array; (b) finding likely entries in the second array that have similarities to a target entry in the second array using a correlation; (c) finding linked entries in the first array that are linked to the likely entries found in the second array; and (d) using the linked entries found in the first array as the second set of entries in the first array.

Abstract: This invention deals with the next generation improvements in recommendation systems. Retailers want to grow their business and increase sales. One embodiment displays recommendations for inside sales during calls to prospects via a CRM. Another embodiment improves genomic cross-sell by summing correlations between attributes. A third embodiment improves cross-channel personalization by linking personal information, preferably via a one-way hash, to a unique customer ID. A fourth embodiment enables a common core mobile app for different retailers. A fifth embodiment identifies a shopper before purchase to provide personal recommendations while shopping. A sixth embodiment utilizes a market place with shared customers for customer acquisition. A seventh embodiment utilizes customers' preferences and characteristics and sales data to influence recommendations. The characteristics can be combined into a shopper psychographic persona to generate recommendations.

Abstract: This invention deals with a computer-implemented method for using predictive analytics to find a second set of entries in a first array that are related to a first set of entries in the first array without directly calculating entry-to-entry similarities between entries in the first array, the method including: (a) identifying a target entry in a second array, wherein the first set of entries in the first array are linked to the target entry in the second array; (b) finding likely entries in the second array that have similarities to a target entry in the second array using a correlation; (c) finding linked entries in the first array that are linked to the likely entries found in the second array; and (d) using the linked entries found in the first array as the second set of entries in the first array.

Abstract: This invention deals with the next generation improvements in recommendation systems. Retailers want to grow their business and increase sales. One embodiment displays recommendations for inside sales during calls to prospects via a CRM. Another embodiment improves genomic cross-sell by summing correlations between attributes. A third embodiment improves cross-channel personalization by linking personal information, preferably via a one-way hash, to a unique customer ID. A fourth embodiment enables a common core mobile app for different retailers. A fifth embodiment identifies a shopper before purchase to provide personal recommendations while shopping. A sixth embodiment utilizes a market place with shared customers for customer acquisition. A seventh embodiment utilizes customers' preferences and characteristics and sales data to influence recommendations. The characteristics can be combined into a shopper psychographic persona to generate recommendations.

Abstract: This invention deals with more improvements in recommendation systems. Retailers want to grow their business and increase sales. One embodiment creates upsell by arranging similar items by price. Another embodiment creates similar items by calculating the number of shared attributes. A final embodiment shows how recently viewed items affect cross-sell, similar and personalized recommendations to make more relevant recommendations.

Abstract: This invention deals with improving recommendation systems. The first embodiment combines rules and recommendations to create automated and intelligent business rules for recommendations. The second embodiment improves recommendations by combining the results of driver products and influencer products, where influencer products only influence the recommendations of the driver products. Influencer products can be related to a specific user. The third embodiment improves recommendations for new items by relating them to original items, such that the sales for the original item is used in the new item when calculating recommendations. The new items may replace the original item, or be a similar item and exist alongside the original item.

Abstract: This invention deals with more improvements in recommendation systems. Retailers want to grow their business and increase sales. One embodiment creates upsell by arranging similar items by price. Another embodiment creates similar items by calculating the number of shared attributes.

Abstract: This invention deals with the next generation improvements in recommendation systems. Retailers want to grow their business and increase sales. One embodiment displays recommendations for inside sales during calls to prospects via a CRM. Another embodiment improves genomic cross-sell by summing correlations between attributes. A third embodiment improves cross-channel personalization by linking personal information, preferably via a one-way hash, to a unique customer ID. A fourth embodiment enables a common core mobile app for different retailers. A fifth embodiment identifies a shopper before purchase to provide personal recommendations while shopping. A sixth embodiment utilizes a market place with shared customers for customer acquisition. A seventh embodiment utilizes customers' preferences and characteristics and sales data to influence recommendations. The characteristics can be combined into a shopper psychographic persona to generate recommendations.

Abstract: The present invention relates to image management systems and methods. In one implementation we provide a method to provide geo-location feedback corresponding to an image area selected by a user. A digital watermark embedded in the selected image area is decoded, and the decoded digital watermark includes or points to geo-location information associated with the selected image location. In another implementation we provide an alert engine to notify a network station that information associated with a digital watermark identifier is available.

Abstract: This invention deals with the next generation improvements in recommendation systems. Retailers want to grow their business and increase sales. One embodiment displays recommendations for inside sales during calls to prospects via a CRM. Another embodiment improves genomic cross-sell by summing correlations between attributes. A third embodiment improves cross-channel personalization by linking personal information, preferably via a one-way hash, to a unique customer ID. A fourth embodiment enables a common core mobile app for different retailers. A fifth embodiment identifies a shopper before purchase to provide personal recommendations while shopping. A sixth embodiment utilizes a market place with shared customers for customer acquisition. A seventh embodiment utilizes customers' preferences and characteristics and sales data to influence recommendations. The characteristics can be combined into a shopper psychographic persona to generate recommendations.

Abstract: The presently claimed invention relates generally to confirming that a user has physical custody of an article (e.g., credit card, identification document, etc.). One claim recites a method reciting: at a user's home, presenting a physical article to an input device; and, after the presenting, receiving device data at a CPU at said user's home; deriving a reduced-bit representation of the device data; by reference to at least some of said reduced-bit representation of the device data, confirming that the user has physical custody of the physical article, the physical article having an identifier associated therewith; and providing said identifier to a remote terminal once physical custody of the physical article is confirmed. Of course, additional combinations and claims are provided as well.

Abstract: A variety of systems and embodiments are disclosed. One embodiment provides a method including: maintaining a database including a plurality of records stored therein; obtaining first information derived from image or video data, the first information being derived remotely relative to performance of said method, the first information comprising a reduced-bit representation of the image or video data itself; determining whether the first information has been previously received with reference to at least the plurality of records stored in the database; and disregarding a request or action associated with the first information if the first information has been previously received. Of course, other combinations are provided and claimed as well.

Abstract: The present invention relates generally to generating travel-logs or geographical representation of encountered media. One claim recites a method including obtaining a plurality of imagery, wherein each item of imagery from the plurality of imagery comprises steganographic encoding, the steganographic encoding altering data representing the imagery, the steganographic encoding comprising multi-bit data, and wherein the presence of the multi-bit data is imperceptible to a human observer of the imagery absent machine-detection; detecting the multi-bit data from the plurality of imagery, wherein the multi-bit data is associated with geolocation metadata; and providing a geographic path associated with the plurality of imagery based at least in part on the geolocation metadata. The geographic path is provided for display to a user relative to a graphical map. Of course, other different claims are provided as well.

Abstract: The present invention relates generally to digital watermarking holographic structures. One method recites: creating a computer model; executing a transform domain iterative method to convert the computer model into a holographic structure; combining a digital watermark with the holographic structure; and conveying the combined digital watermark and holographic structure to a surface. Other combinations are provided and claimed as well.

Abstract: This invention deals with more improvements in recommendation systems. Retailers want to grow their business and increase sales. One embodiment creates upsell by arranging similar items by price. Another embodiment creates similar items by calculating the number of shared attributes.

Abstract: The present disclosure relates generally to digital watermarking and steganography. One claim recites a method including: receiving digital data representing media including at least video and audio; digital watermarking at least some portions of the digital data, the digital watermarking introducing changes to at least some portions of the digital data to hide information in at least some portions of the digital data representing audio and in at least some portions of the digital data representing video, the information comprises at least geo-location data and time data, and the geo-location data is redundantly hidden in digital data over time; and optically projecting the media on a surface for viewing. Projected media includes the information digital watermarked therein. Of course, other claims and combinations are provided as well.

Abstract: The present invention relates generally to handheld devices and using such to extract identifying data. One claim recites a handheld wireless device including: an input for receiving a subset of database information; electronic memory for storing the retrieved subset of database information, the handheld device including an input device; an optical imaging device for capturing a portion of a map, the portion of the map including at least one steganographic watermark hidden therein through alterations to data representing the portion, the alterations being generally imperceptible to a human observer of the portion of the map, the steganographic watermark including map location information; an electronic processor configured to: determine which information of the retrieved subset of the database information corresponds to the map location information; and control providing corresponding retrieved subset database information. Other claims and combinations are provided as well.

Abstract: This invention deals with improving recommendation systems. The first embodiment combines rules and recommendations to create automated and intelligent business rules for recommendations. The second embodiment improves recommendations by combining the results of driver products and influencer products, where influencer products only influence the recommendations of the driver products. Influencer products can be related to a specific user. The third embodiment improves recommendations for new items by relating them to original items, such that the sales for the original item is used in the new item when calculating recommendations. The new items may replace the original item, or be a similar item and exist alongside the original item.

Abstract: A reversible watermarking program transforms a host data file into a logical storage unit for auxiliary data files by embedding the auxiliary files in the data stored in the host data file. The reversible watermark modifies host data such as an image, audio, video, or software code, to carry auxiliary data. For perceptual content such as visual or audio media, the reversible watermark can maintain a desired level of perceptual quality, effectively hiding the auxiliary data in the host data. The reversible watermark enables the original host data prior to modifications due to the embedding to be restored.