Abstract: A device, system and method for making custom printed products. In one embodiment of the method, input selecting one or more vector graphics is received from a user device along with a size of for the printed product. Pixel edge detection is performed on the image to generate a plurality of polygons corresponding to all shapes in the image. Polygons below a size threshold are removed. An offset is applied to each polygon. The polygons are combined. A smoothing algorithm is applied to the combined polygon. A set of curves that define the smoothed polygon is determined. A cut path is dynamically generating for the printed product in real-time in dependence on the modified vector graphic cut path and the received size so that the cut path has a shape dependent on the modified vector graphic cut path and a size dependent on the received size.

Abstract: A device, system and method for making custom printed products. In one embodiment of the method, an image is received from a user device along with a size of for the printed product. Pixel edge detection is performed on the image to generate a plurality of polygons corresponding to all shapes in the image. Polygons below a size threshold are removed. An offset is applied to each polygon. The polygons are combined. A smoothing algorithm is applied to the combined polygon. A set of curves that define the smoothed polygon is determined. A cut path is dynamically generating for the printed product in real-time in dependence on the set of curves and the received size so that the cut path has a shape dependent on the set of curves and a size dependent on the received size. The image is printed on a substrate material for the image product in dependence on the received size and the offset so that the printed image has a printed size equal to the received size less the offset.

Abstract: A device, system and method for making custom printed products. In one embodiment of the method, an image is received from a user device along with a size of for the printed product. Pixel edge detection is performed on the image to generate a plurality of polygons corresponding to all shapes in the image. Polygons below a size threshold are removed. An offset is applied to each polygon. The polygons are combined. A smoothing algorithm is applied to the combined polygon. A set of curves that define the smoothed polygon is determined. A cut path is dynamically generating for the printed product in real-time in dependence on the set of curves and the received size so that the cut path has a shape dependent on the set of curves and a size dependent on the received size. The image is printed on a substrate material for the image product in dependence on the received size and the offset so that the printed image has a printed size equal to the received size less the offset.

Abstract: An internet-based method and system is disclosed for creating and printing sheets of more customized stickers. The system includes, a database of assets stored on a central server accessible via the internet, wherein the assets are graphic images, objects and text that can be accessed and manipulated by a user at a remote location. A user interface provides the user with a canvas corresponding to the sheet of stickers, asset tools to access, select and save assets that are used to create the stickers, asset transformation tools to manipulate the assets on the canvas, and die-cut tools to create die-cut borders surrounding each of the stickers. The once the sheet of stickers has been created, the user can place an order for the sheet to be printed and delivered to the user.

Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.

Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms taken from user profiles, which can include interests, eccentricities, age, gender, and location information associated with the user. The interest information can include music, movies, sports and personality traits. Based on the user's profile information, the system determines which ad from a stock of ads is best suited to a given profile and delivers that ad. The system can be used to match user profiles to provide mate-matching.

Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms taken from user profiles, which can include interests, eccentricities, age, gender, and location information associated with the user. The interest information can include music, movies, sports and personality traits. Based on the user's profile information, the system determines which ad from a stock of ads is best suited to a given profile and delivers that ad. A user interface can be provided to enable the user to fine-tune product and service recommendation results.

Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms taken from user profiles at social networking and online dating applications and blogs. The profiles and blogs can include interests, eccentricities, age, gender, and location information associated with the user. The interest information can include music, movies, sports and personality traits. Based on the user's profile information, the system determines which ad from a stock of ads is best suited to a given profile and delivers that ad. The system can enable advertisers to create and manage online advertising campaigns using a campaign manager in which they attach descriptions to ads in their inventory, thereby generating a profile for each ad which is then compared to the profiles in the target online environment.

Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.

Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.

Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms taken from user profiles at social networking and online dating applications and blogs. The profiles and blogs can include interests, eccentricities, age, gender, and location information associated with the user. The interest information can include music, movies, sports and personality traits. Based on the user's profile information, the system determines which ad from a stock of ads is best suited to a given profile and delivers that ad. The system can enable advertisers to create and manage online advertising campaigns using a campaign manager in which they attach descriptions to ads in their inventory, thereby generating a profile for each ad which is then compared to the profiles in the target online environment.

Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.

Abstract: A method is provided for inserting a copyright or trademark ownership notice on a customized printable product, such as a sticker, sign or poster. The preferred method of the present invention includes the steps of: detecting whether the printable product contains one or more protected assets; determining the name of the owner of each of the one or more protected assets; creating an offset in the printable product; creating the ownership notice containing the names of the owners; and inserting the ownership notice at a location within the offset.

Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.

Abstract: An internet-based method and system is disclosed for creating and printing sheets of more customized stickers. The system includes, a database of assets stored on a central server accessible via the internet, wherein the assets are graphic images, objects and text that can be accessed and manipulated by a user at a remote location. A user interface provides the user with a canvas corresponding to the sheet of stickers, asset tools to access, select and save assets that are used to create the stickers, asset transformation tools to manipulate the assets on the canvas, and die-cut tools to create die-cut borders surrounding each of the stickers. The once the sheet of stickers has been created, the user can place an order for the sheet to be printed and delivered to the user.

Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.

Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.

Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms taken from user profiles at social networking and online dating applications and blogs. The profiles and blogs can include interests, eccentricities, age, gender, and location information associated with the user. The interest information can include music, movies, sports and personality traits. Based on the user's profile information, the system determines which ad from a stock of ads is best suited to a given profile and delivers that ad. The system can enable advertisers to create and manage online advertising campaigns using a campaign manager in which they attach descriptions to ads in their inventory, thereby generating a profile for each ad which is then compared to the profiles in the target online environment.