Versata Development Group, Inc.

Bazaarvoice, Inc.

Hewlett-packard Company

Trilogy Development Group, Inc.

Andrew Maag

Shawn A P Smith

Sam Decker

Chad Bockius

Brantley Barton

Jeffrey W Ragusa

Douglas Stephen Fearing

Michael Lawrence Saboff

Alan McGowen

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.

Applying data regression and pattern mining to predict future demand

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.

Method and system for distribution of user generated content

Configuration spaces facilitate the useful presentation of data, particularly configuration data used for representing configured products. Products include features and common features can be grouped by families. For example, an automobile can include a transmission family. The transmission family could include features such as automatic transmission and 4-speed manual transmission. Configuration spaces can be achieved by consolidating selected data without loosing useful information. The degree of consolidation achieved can be significant enough to permit display of data using conventional display technology. Configuration spaces break down the 'universe' of possible configurations into constituent spaces defined by groups of rules for a selected feature. Common dependencies between the selected feature and related features can be consolidated to produce a more minimal form of the data used for representing the selected features and related features. Configuration spaces can provide a useful graphical view of the breakdown of all rules written for a single feature or multiple features. The data present in this view can be analyzed to, for example, study the dependency paths of an existing configuration and better understand the impact of revising configuration relationships. Thus, configuration spaces aid in the creation and modification of configuration models.

Configuration representation and modeling using configuration spaces

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.

Hierarchical registry structure for managing multiple versions of software components

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Austin, TX, United States of America

Andrew Maag