| 摘要 |
A computer implemented method and a content determination and targeting system (CDTS) dynamically target time, event and inventory based, location-specific, and behavior relevant content and services to users in an omnichannel environment. The CDTS identifies target users using user characteristic information, item information, and event information received from information sources. The CDTS determines a target item based on each item's item relevancy score and item relevancy priority generated based on an analysis of the user characteristic information, the item information, the event information, user intent dimensions, user interest dimensions, and global interest dimensions. The CDTS generates and targets relevant content associated with the target item and service information to the identified target users based on recommendations dynamically generated based on a content relevancy score, a content relevancy priority, targeting triggers, and the analysis of the user characteristic information, the item information, and the event information using content selection parameters. |
| 主权项 |
1. A computer implemented method for dynamically targeting time, event and inventory based, location-specific, and behavior relevant content and services to users in an omnichannel environment, said method employing a content determination and targeting system comprising at least one processor configured to execute computer program instructions for performing said method, said method comprising:
dynamically receiving user characteristic information, item information of a plurality of items engaged by said users, and event information from a plurality of information sources in said omnichannel environment by said content determination and targeting system; identifying one or more target users from said users for dynamically targeting said time, event and inventory based, location-specific, and behavior relevant content and said services by said content determination and targeting system using said dynamically received user characteristic information, said item information, and said event information; analyzing said dynamically received user characteristic information, said item information, and said event information by said content determination and targeting system using one or more of a plurality of analytical parameters; determining user intent dimensions, user interest dimensions, and global interest dimensions by said content determination and targeting system based on said analysis of said dynamically received user characteristic information, said item information, and said event information; generating an item relevancy score and an item relevancy priority for each of said items by said content determination and targeting system based on said analysis of said dynamically received user characteristic information, said item information, said event information, said determined user intent dimensions, said determined user interest dimensions, and said determined global interest dimensions; determining a target item from said items for dynamically targeting said time, event and inventory based, location-specific, and behavior relevant content and said services to said identified one or more target users by said content determination and targeting system based on said generated item relevancy score and said generated item relevancy priority of said each of said items; generating and associating relevant content with said determined target item and determining service information of a plurality of said services to be provided to said identified one or more target users by said content determination and targeting system, in communication with one or more of a plurality of content sources; generating a content relevancy score and a content relevancy priority for said generated relevant content associated with said determined target item based on said analysis of said dynamically received user characteristic information, said item information, said event information, said determined user intent dimensions, said determined user interest dimensions, and said determined global interest dimensions; dynamically generating recommendations for dynamically targeting said generated relevant content associated with said determined target item and said determined service information of said services to said identified one or more target users by said content determination and targeting system based on said generated content relevancy score, said generated content relevancy priority, one or more of a plurality of targeting triggers, and said analysis of said dynamically received user characteristic information, said item information, and said event information using one or more of a plurality of content selection parameters; and dynamically targeting said generated relevant content associated with said determined target item and said determined service information of said services to said identified one or more target users in said omnichannel environment by said content determination and targeting system based on said dynamically generated recommendations. |
