Abstract:
A method of computing at least one solution to an auction winner-determination problem includes receiving a plurality of bids in an auction and computing at least one solution to an auction winner-determination problem for the auction using the plurality of bids.
Abstract:
A computer-implemented automated decision support system for designing an auction for a given item includes a structure extractor that estimates unknown elements of market structure of the auction based on auction characteristics data extracted from historical auctions for similar items and a bidding model matching the extracted auction characteristics data. The decision support system also includes a bidding behavior predictor that predicts bidding behaviors of bidders in the auction based on the estimated unknown elements of market structure and characteristics of the auction. In addition, the system includes an optimizer that employs an evaluation criterion to generate an evaluation of the auction based on (1) the estimated unknown elements of market structure and (2) the predicted bidding behavior of bidders. A method of providing an automated auction analysis is also described.
Abstract:
An automated estimation and optimization solution for selecting the best auction format by determining the latent elements of the auction environment taking into account the strategic and information conditions with minimal assumptions on the distributions of unobserved random elements. Structural analysis of bid data from prior auctions is used to identify and estimate the distributions of bidders' private signals conditional on observable bidder characteristics. The estimated signal distributions, identified by the structural analysis, are used to evaluate alternative auction formats and to select the best format from among a given set of candidates. The present invention provides decision support tools to select an auction format based on structural econometric analysis of available data on the market environment. A decision-maker may estimate the unobservable private signals of the bidders and to determine the best auction format the decision maker can employ to sell a given set of items.
Abstract:
A non-transitory machine-readable storage device comprising executable instructions that, when executed cause a processor to estimate a dependence vector (104), resulting in a first dependence estimate. The processor is further caused to estimate a sampling of unobserved demand (108) using the first dependence estimate to scale observed factors. The processor is further caused to output to a display device (110) information based on the first dependence estimate or the sampling.
Abstract:
One embodiment of the present invention provides a method and system that determines the optimal preference policy for a market, such as an auction, with respect to a multiplicity of possible evaluation criteria that auction participants or other end users specify. In one embodiment, a method and system that configures the optimal preference policies that can be implemented in any market, particularly an auction, applicable to any auction format a market decision maker may wish to conduct. An embodiment of the present invention estimates bidders' private information and correspondingly identifies exploitable asymmetries to implement a preferential treatment policy. In one embodiment, this method is implemented on a computer system, under the control of software and firmware directing the operation of its processor and other components. In one embodiment, a computer readable medium causes a computer system to execute the method.
Abstract:
A system and method comprises simulating a multiple lot auction using a sequencing rule until bidding on all lots is closed, simulating the multiple lot auction using a different sequencing rule until bidding on all lots is closed, and comparing results of the simulated auctions with both sequencing rules.
Abstract:
A method and related system for predicting, possibly a software program executing on a computer system, an online auction outcome for each of a plurality of feedback rules.
Abstract:
Systems, methods, and machine readable and executable instructions are provided for determining offer terms from text. A method for determining offer terms from text can include mapping keywords to a domain of a procurement event, and receiving, to a computing device, an offer text associated with the procurement event. Event-specific entities are identified, by the computing device, in the offer text. The computing device determines the domain of the procurement event from the identified event-specific entities, and using the mapped keywords corresponding to the determined domain, determines offer components from the offer text, extracts offer parameters from the offer text, and constructs the offer structure using the identified event-specific entities, derived offer components, and extracted offer parameters.
Abstract:
One embodiments of the present invention is directed to a data-analysis system, implemented as one or more electronic computers that execute one or more computer programs. The data-analysis system includes a metadata-extraction component that extracts indications of data entities and relationships between data entities from data stored on one or more electronic-memory and mass-storage devices, a relationship-inference component that analyzes the data to infer additional relationships between data entities, a context-determination component that determines one or more contexts within which the data is analyzed, and a navigational analysis tool, displayed on a computer device, that provides an interface that allows for navigation between relationship-interconnected data entities within each of one or more contexts, for viewing representations of data entities and relationships, and for editing and updating the relationships.
Abstract:
A method performed by a processing system includes comparing contracts having different lengths using uncertainty information corresponding to a non-overlap period between the contracts and providing an output that represents a comparison between the contracts in view of the uncertainty information.