Method and an apparatus for providing personalized service

A method comprising:

• receiving a customer profile, preferences and data wherein the customer profile, the preferences and the data are utilized to perform an analysis in real-time to generate a recommendation that is associated with a recommended item, the recommendation to include a plurality of content types;
• managing the plurality of content types for a plurality of service points, wherein the plurality of content types include at least a first content type and a second content type;
• retrieving the first content type by a first service point, the first content type being included in the recommendation that is associated with the recommended item, the recommendation being personalized for a plurality of users, and the first content type being personalized for a first user;
• and
• retrieving the second content type by a second service point, the second content type being included in the recommendation that is associated with the recommended item, the recommendation being personalized for the plurality of users, and the second content type being personalized for a second user.

A machine readable storage media containing executable program instructions which when executed cause a digital processing system to:

• receive a customer profile, preferences and data wherein the customer profile, the preferences and the data are utilized to perform an analysis in real-time to generate a recommendation that is associated with a recommended item, the recommendation to include a plurality of content types;
• manage the plurality of content types for a plurality of service points, wherein the plurality of content types includes a first content type and a second content type;
• retrieve the first content type by the first service point, the first content type included in the recommendation that is associated with the recommended item, the recommendation being personalized for a plurality of users, and the first content type being personalized for a first user;
• and
• retrieve the second content type by the second service point, the first content type being included in the recommendation that is associated with the recommended item, the recommendation being personalized for the plurality of users, and the second content type being personalized for a second user.

A network system comprising:

• a first means for interacting with a second means, a third means and a fourth means, the first means for performing an analysis in real-time to generate a recommendation that is associated with a recommended item, the recommendation to include a plurality of content types;
• the third means for providing data to the analysis engine;
• the second means for providing user data to the analysis engine;
• the fourth means for managing the recommendation that is associated with the recommended item and includes the plurality of content types, wherein the plurality of content types includes at least a first content type and a second content type;
• a fifth means for retrieving a first content type from the fourth means, the first content type being included in the recommendation that is associated with the recommended item, the recommendation being personalized for a plurality of users, and the first content type being personalized for a first user;
• and
• a sixth means for retrieving a second content type from the fourth means, the second content type being included in the recommendation that is associated with the recommended item, the recommendation being personalized for the plurality of users, and the second content type being personalized for a second user.