Abstract: A method of collecting data from pages viewed by a user of at least one web site, comprises receiving from at least one activity message reporter a plurality of access reports wherein an access report includes content from at least one web page of the at least one web site. Thereafter the method accumulates the received access reports, and formats content from the received access reports in accordance with a document template.

Abstract: The invention provides a method and system to estimate demand, pricing, allocation and aftermarket demand for public offerings via a simulation auction using collaborative forecasting. The simulation auction incorporates features to enhance participant knowledge about a particular company and its proposed auction. The simulation auction may be used to collect information regarding likely or equilibrium pricing of actual offerings, as well as to generate demand curve provides for different types of participants (e.g. retail and institutional investors).

Abstract: The invention provides a method and system to estimate demand, pricing, allocation and aftermarket demand for public offerings via a simulation auction using collaborative forecasting. The simulation auction incorporates features to enhance participant knowledge about a particular company and its proposed auction. The simulation auction may be used to collect information regarding likely or equilibrium pricing of actual offerings, as well as to generate demand curve provides for different types of participants (e.g. retail and institutional investors).

Abstract: A method for setting a price for a product sold online by a subject merchant is provided. The method comprises accessing price information of at least one other merchant of the same product by applying a shopping robot to two or more shopping sites, including at least one price comparison site, with other offerings of the same product by other merchants; accessing pricing rules for the subject merchant that cover sales originating from the comparison site; applying the pricing rules to adjust the current product price at which the subject merchant offers the product on the two or more shopping sites to be more competitive; and responsive to a price adjustment that would reduce the product price so as to violate a specified profitability goal, increasing the shipping charges with which the merchant offers the product with the price adjustment on the two or more shopping sites.

Abstract: A method for cataloging and reporting Internet merchant data uses a data center for receiving a plurality of site activity messages regarding two or more seller sites and provides a standardized taxonomy schema with a node for each of two or more products. The method derives from the plurality of site activity messages a sales metric for the two or more products and for a specific time period, aggregates the sales metric data for each of the two or more seller sites and the two or more products, then derives a comparative report for the sales metric for the two or more seller sites, by reference to at least one of the two or more products in the standardized taxonomy schema.

Abstract: A method for setting a price for a product sold online by a subject merchant is provided. The method comprises accessing price information of at least one other merchant of the same product by applying a shopping robot to two or more shopping sites, including at least one price comparison site, with other offerings of the same product by other merchants; accessing pricing rules for the subject merchant that cover sales originating from the comparison site; applying the pricing rules to adjust the current product price at which the subject merchant offers the product on the two or more shopping sites to be more competitive; and responsive to a price adjustment that would reduce the product price so as to violate a specified profitability goal, increasing the shipping charges with which the merchant offers the product with the price adjustment on the two or more shopping sites.

Abstract: The invention provides a method and system to estimate demand, pricing, allocation and aftermarket demand for public offerings via a simulation auction using collaborative forecasting. The simulation auction incorporates features to enhance participant knowledge about a particular company and its proposed auction. The simulation auction may be used to collect information regarding likely or equilibrium pricing of actual offerings, as well as to generate demand curve provides for different types of participants (e.g. retail and institutional investors).

Abstract: A method for cataloging and reporting Internet merchant data uses a data center for receiving a plurality of site activity messages regarding two or more seller sites and provides a standardized taxonomy schema with a node for each of two or more products. The method derives from the plurality of site activity messages a sales metric for the two or more products and for a specific time period, aggregates the sales metric data for each of the two or more seller sites and the two or more products, then derives a comparative report for the sales metric for the two or more seller sites, by reference to at least one of the two or more products in the standardized taxonomy schema.

Abstract: A method of collecting data from pages viewed by a user of at least one web site, comprises receiving from at least one activity message reporter a plurality of access reports wherein an access report includes content from at least one web page of the at least one web site. Thereafter the method accumulates the received access reports, and formats content from the received access reports in accordance with a document template.

Abstract: An improved arc furnace regulator employs neural circuits connected in a multi-layer network configuration with various weighted relationships between the successive layers which are automatically changed over time as a function of an error signal by means of the back-propagation method so that the regulator gradually improves its control algorithm as a result of accumulated experience. The network is implemented in software which can be developed and run on a PC with extra co-computing capability for greater execution speed. A second trainable neural network which emulates the arc furnace is used to develop the error signal, and is trained in mutually exclusive time periods with the training of the regular network.

Abstract: An improved arc furnace regulator employs neural circuits connected in a multi-layer network configuration with various weighted relationships between the successive layers which are automatically changed over time as a function of an error signal by means of the back-propagation method so that the regulator gradually improves its control algorithm as a result of accumulated experience. The network is implemented in software which can be developed and run on a PC with extra co-computing capability for greater execution speed. A second trainable neural network which emulates the arc furnace is used to develop the error signal, and is trained in mutually exclusive time periods with the training of the regular network.