Abstract: A system is described for mapping product attributes between schemas of e-commerce websites. Using a pre-defined reverse mapping, a mapping server populates a master attribute table from product attributes and taxonomy categorizations defined in a source schema. Using a pre-defined assignment mapping, the mapping server maps the master attributes in the master attribute table to product attributes and taxonomy categorizations in the target schema.

Abstract: A method for optimizing target content on a search results webpage includes receiving source code defining the webpage from a search engine server. The method further includes processing the source code to identify a target source code block in the source code, the target source code block defining, at least partially, the target content. The method further includes processing the target source code block to determine a relative metric for the target content with respect to a layout of the search results webpage. Thereafter, the relative metric may be utilized to optimize advertising expenditures in order to improve a relative position of the target content.

Abstract: Systems, programs, non-transitory computer readable mediums, and methods of managing multiple and concurrent online advertising campaigns to eliminate user fatigue are disclosed. In particular, a campaign management server generates multiple target lists of users from a data warehouse for a plurality of pre-defined online advertising campaigns. The users on the target lists are selected to receive electronic communications, such as email or text, containing advertisements based upon target profiles associated with the campaigns as determined by marketing objectives. The advertising campaigns are prioritized such that users on a target list of a higher prioritized campaign are suppressed from lower prioritized campaigns in order to insure that the users receive a predetermined number of electronic communications within a set time frame.

Abstract: A system for providing product recommendations to online visitors to an e-commerce website is provided. The system may include a product recommendation program comprising instructions that, when executed by a processor, cause the processor to generate a list of recommended products for an online visitor based on both (i) user preference data, and (ii) product attribute correlation data.

Abstract: Personalized electronic content is generated for display on a user computer. The content is generated by first matching a targeted user online identifier to one of a plurality of user online identifiers associated with a master ID in a database. Using online user behavior associated with the user online identifiers of the master ID, a preliminary set of personalized electronic content is generated. A set of content usage parameters is applied to the preliminary set of personalized electronic content to define the personalized electronic content, which is then transmitted and displayed on a user computer. The personalized electronic content may comprise targeted advertisement utilized to populate a webpage or an email template defined by an online marketing campaign.

Abstract: This disclosure relates generally to a system and method for using a machine-learning system to more accurately detect fraudulent use of credit cards on an e-commerce website and block those attempts.

Abstract: This disclosure relates generally to a system and method for creating unified personalized content for an individual user receiving communications from a given website across separate platforms and channels.

Abstract: A method for optimizing target content on a search results webpage includes receiving source code defining the webpage from a search engine server. The method further includes processing the source code to identify a target source code block in the source code, the target source code block defining, at least partially, the target content. The method further includes processing the target source code block to determine a relative metric for the target content with respect to a layout of the search results webpage. Thereafter, the relative metric may be utilized to optimize advertising expenditures in order to improve a relative position of the target content.

Abstract: A system for providing product recommendations to online visitors to an e-commerce website is provided. The system may include program comprising instructions that, when executed by a processor, cause the processor to sort a list of products based on a comparison of a user's interactions with the e-commerce website and previous user interactions with the same e-commerce website.

Abstract: A system is described for mapping product attributes between schemas of e-commerce websites. Using a pre-defined reverse mapping, a mapping server populates a master attribute table from product attributes and taxonomy categorizations defined in a source schema. Using a pre-defined assignment mapping, the mapping server maps the master attributes in the master attribute table to product attributes and taxonomy categorizations in the target schema.

Abstract: Various methods and systems are provided for conducting e-commerce. In one example, a method of conducting an e-commerce transaction includes a method of operating an online retail website. The method includes providing access to a computer interface for suppliers and presenting information to the suppliers through the computer interface regarding activity of the supplier's stock keeping unit (SKU). The suppliers are then enabled to directly modify at least one parameter associated with a presentation of the supplier's SKU on the retail website by way of the interface. The modification of the parameter may include, for example, modification of the presentation of the SKU including, for example, changing the title, adding video or photograph, or adding some other information. The modification of the parameter may also include, for example, modifying the price or entering into a bilateral agreement with the operator of the retail web site.

Abstract: A computing system includes: processor(s), memory(s), storage device(s), and network interface(s) configured to communicate with data source(s) and remotely located computing device(s). The network interface(s) receives data regarding a digital product catalog representation of products from the data source(s). The processor(s): generates a respective score for the digital product catalog representation for each respective product, the score indicative of adherence of the digital product catalog representation for each respective product to at least one criterion; stores the respective score for the digital product catalog representation for each respective product using the at least one storage device; and identifies which products provide the greatest opportunity for sales improvement by improving adherence of the digital product catalog representation to the at least one criterion.

Abstract: A system and method is provided that ranks and sorts websites, apps, email, or VR environment content in real-time to increase engagement, CTR, conversions, and revenue. A client applies attributes to sections of the digital content. A server system tracks end user inputs and generates optimized layouts for the digital content, such as a webpage. The document layout is ordered or reorganized before or after the document is delivered to the end user.

Abstract: This disclosure relates generally to a system and method for creating computer-generated conversational commerce. A conversational AI interacts with a human being and guides that human being through a virtual interaction while communicating and humanizing the interaction. A user makes a request, whether through voice or through typing at the computer, and the system interprets that request while making additional, natural communications with the user, such as suggesting additional items, asking additional questions to gain more information when needed, and learning from interactions. The AI simulates a human being on the website, responding to the user, and asks for additional information, as if a user were actually at a brick-and-mortar store interacting with a salesperson.

Abstract: Personalized electronic content is generated for display on a user computer. The content is generated by first matching a targeted user online identifier to one of a plurality of user online identifiers associated with a master ID in a database. Using online user behavior associated with the user online identifiers of the master ID, a preliminary set of personalized electronic content is generated. A set of content usage parameters is applied to the preliminary set of personalized electronic content to define the personalized electronic content, which is then transmitted and displayed on a user computer. The personalized electronic content may comprise targeted advertisement utilized to populate a webpage or an email template defined by an online marketing campaign.

Abstract: Product or service information in the form of selected wireless e-commerce content is transmitted from a server to a mobile device, such as mobile telephone or personal digital assistant. The e-commerce content is transmitted either in response to an explicit user request for communication of the e-commerce content, or, in the alternative, is “pushed” to the mobile device as permitted by a user but in the absence of a specific request. The e-commerce content received at the mobile device is presented to a user by the mobile device in textual or graphical format in conjunction with an indication of a communication needed to consummate an e-commerce transaction. If the user desires to purchase the good or service represented by the e-commerce content, the user initiates the communication indicated by the e-commerce content.

Abstract: This disclosure relates generally to a system and method for using a machine-learning system to more accurately detect fraudulent use of credit cards on an e-commerce website and block those attempts.

Abstract: A system for providing product recommendations to online visitors to an e-commerce website is provided. The system may include a product recommendation program comprising instructions that, when executed by a processor, cause the processor to generate a list of recommended products for an online visitor based on both (i) user preference data, and (ii) product attribute correlation data.

Abstract: Various methods and systems are provided for conducting e-commerce. In one example, a method of conducting an e-commerce transaction includes a method of operating an online retail website. The method includes providing access to a computer interface for suppliers and presenting information to the suppliers through the computer interface regarding activity of the supplier's stock keeping unit (SKU). The suppliers are then enabled to directly modify at least one parameter associated with a presentation of the supplier's SKU on the retail website by way of the interface. The modification of the parameter may include, for example, modification of the presentation of the SKU including, for example, changing the title, adding video or photograph, or adding some other information. The modification of the parameter may also include, for example, modifying the price or entering into a bilateral agreement with the operator of the retail web site.

Abstract: A system and method is provided that ranks and sorts websites, apps, email, or VR environment content in real-time to increase engagement, CTR, conversions, and revenue. A client applies attributes to sections of the digital content. A server system tracks end user inputs and generates optimized layouts for the digital content, such as a webpage. The document layout is ordered or reorganized before or after the document is delivered to the end user.