Abstract: A data processing system processes transaction database information to predict future demand using data regression techniques to extract trend line information from historical pattern frequency values. By extrapolating the trend line, a predicted pattern frequency value may be calculated. By applying regression techniques (such as least-squares approximation), the trend line information may be extracted and projected to predict the future pattern frequency which may be applied to calculate the expected value of a recommendation rule.

Abstract: Systems and methods for distributing user-generated content are disclosed. Specifically, embodiments of the present invention may allow content to be generated by a user at a manufacturer's site with respect to a corresponding product and this content distributed to one or more retailers who sell that product such that the user-generated content may be incorporated into the retailer's site or brick and mortar location in conjunction with that product to allow consumers shopping at that retailer to access or view such user-generated content.

Abstract: A data processing system processes transaction database information to predict future demand using data regression techniques to extract trend line information from historical pattern frequency values. By extrapolating the trend line, a predicted pattern frequency value may be calculated. By applying regression techniques (such as least-squares approximation), the trend line information may be extracted and projected to predict the future pattern frequency which may be applied to calculate the expected value of a recommendation rule.

Abstract: Systems and methods for distributing user-generated content are disclosed. Specifically, embodiments of the present invention may allow content to be generated by a user at a manufacturer's site with respect to a corresponding product and this content distributed to one or more retailers who sell that product such that the user-generated content may be incorporated into the retailer's site or brick and mortar location in conjunction with that product to allow consumers shopping at that retailer to access or view such user-generated content.

Abstract: Systems and methods for distributing user-generated content are disclosed. Specifically, embodiments of the present invention may allow content to be generated by a user at a manufacturer's site with respect to a corresponding product and this content distributed to one or more retailers who sell that product such that the user-generated content may be incorporated into the retailer's site or brick and mortar location in conjunction with that product to allow consumers shopping at that retailer to access or view such user-generated content.

Abstract: A data processing system processes transaction database information to predict future demand using data regression techniques to extract trend line information from historical pattern frequency values. By extrapolating the trend line, a predicted pattern frequency value may be calculated. By applying regression techniques (such as least-squares approximation), the trend line information may be extracted and projected to predict the future pattern frequency which may be applied to calculate the expected value of a recommendation rule.

Abstract: The invention describes a hierarchical registry for allowing multiple applications to use different versions of a software component on the same system. Each version of a software component has a base entry in the registry. Each base entry has rules, one of which must be met to use version of the software component corresponding to that base entry. The registry may also have a default base entry, which is used if no other base entry has one of its rules met. Each rule may have several criteria, all of which must be met to satisfy that rule. Each base entry may be marked as deleted rendering the corresponding version of the software component inaccessible except by applications currently accessing the version marked as deleted.