Patent application number | Description | Published |
20130006876 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR GEO-SPECIFIC VEHICLE PRICING - Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle. | 01-03-2013 |
20130006916 | METHOD AND SYSTEM FOR SELECTION, FILTERING OR PRESENTATION OF AVAILABLE SALES OUTLETS - Embodiments disclosed herein provide systems and methods for the filtering, selection and presentation of vendors accounting for both user characteristics and vendor characteristics, such that the systems and methods may be used by both customer and vendor alike to better match customer needs with the resource-constrained vendors with whom a successful sale has a higher probability of occurring. Embodiments may include filtering, selecting and/or presenting vendors to a user sorted by the probability that the particular vendor will possess the characteristics that appeal to a particular customer and therefore result in a large probability of sale and suppress presentation of those vendors that are unlikely to be selected by the customer since their characteristics are less consistent with those needed by the customer and, therefore, are unlikely to result in a sale. | 01-03-2013 |
20130007705 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR PREDICTING ITEM PREFERENCE USING REVENUE-WEIGHTED COLLABORATIVE FILTER - Embodiments disclosed provide a system, method, and computer program product for identifying consumer items more likely to be bought by an individual user. In some embodiments, a collaborative filter may be used to rank items based on the degree to which they match user preferences. The collaborative filter may be hierarchical and may take various factors into consideration. Example factors may include the similarity among items based on observable features, a summary of aggregate online search behavior across multiple users, the item features determined to be most important to the individual user, and a baseline item against which a conditional probability of another item being selected is measured. | 01-03-2013 |
20130117067 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR DEMAND-WEIGHTED SELECTION OF SALES OUTLETS - In embodiments disclosed herein, a computer may operate to determine, for each member in a set and each non-member under consideration for the set, an expected revenue to be passed to a parent organization. The expected revenue may be determined utilizing a plurality of weighted features. Members in the set may be ranked according to their expected revenues. Top performing members in the set may be protected to ensure their expected revenues. Bottom performing members may be removed from the set and/or replaced with new members outside of geographical protective areas of the top performing members. The optimization process can be repeated until the set of members can satisfy an existing demand while maximizing revenue for the parent organization. | 05-09-2013 |
20130198167 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR DECODING VEHICLE IDENTIFICATION NUMBERS - A vehicle identification number (VIN) decoder (VDC) implementing a unique VIN decoding method may, for a given VIN, shorten the VIN and form a stem and a leaf therefrom. Utilizing the stem, the VDC may operate to find matching leaf values, if any, from a set of look up tables. Depending upon a match outcome, one or more trim identification code (TIC) values can be assigned to the VIN and a candidate list can be constructed utilizing the assigned TIC value(s). The candidate list, which can be optimized, may contain one or more candidate trims for the VIN. For each candidate trim, a confidence score and match probability can be generated. The VDC may provide decoded information containing trim data associated with at least one of the one or more candidate trims for the VIN to a client device over a network connection. | 08-01-2013 |
20130304571 | SYSTEM, METHOD AND COMPUTER PROGRAM FOR VARYING AFFILIATE POSITION DISPLAYED BY INTERMEDIARY - Endogenous and exogenous variables associated with an item for sale by an affiliate may be displayed to a user of an affiliate decision-making tool. In response to the user selecting one of the endogenous variables, the affiliate decision-making tool may compute a number of introductions, a number of leads, and a number of sales for each of a plurality of possible values of the endogenous variable. The computation may be done utilizing a display position algorithm. A visualization of effects of setting the endogenous variable at different levels may be presented. The user may interact with the display position algorithm to vary one or more of the plurality of possible values of the endogenous variable such that the affiliate is eligible or disqualified to be displayed by an intermediary in response to a search for the item by a visitor of a network site owned and operated by the intermediary. | 11-14-2013 |
20140074553 | SYSTEM AND METHOD FOR CONSTRUCTING SPATIALLY CONSTRAINED INDUSTRY-SPECIFIC MARKET AREAS - Disclosed is a new methodology for defining fixed industry-specific market areas (ISMAs). A system implementing an ISMA construction algorithm may extract relevant primary geographic polygon (PGP) data and operate to optimize a predefined industry-specific objective function, given relevant constraints such as the spatial relationships between PGPs and their adjacencies, industry-specific constraints such as the number of sales, and non-industry-specific constraints such as median household income. A PGP represents an undividable geographic administrative unit such as counties, states, Census tracts, 5-digit or 3-digit ZIP Codes, etc. A set of ISMAs may be constructed using a hierarchical PGP merging process in which PGPs are merged iteratively until a stopping condition is met. An iterative PGP swapping process may be employed to adjust the outcome from the hierarchical PGP merging process to achieve the best possible outcome for the objective function. | 03-13-2014 |
20140089046 | System, Method and Computer Program Product for Demand-Weighted Selection of Sales Outlets - In embodiments disclosed herein, a computer may operate to determine, for each member in a set and each non-member under consideration for the set, an expected revenue to be passed to an organization. The expected revenue may be determined utilizing a plurality of weighted features. Members in the set may be ranked according to their expected revenues. Top performing members in the set may be protected to ensure their expected revenues. Bottom performing members may be removed from the set and/or replaced with new members outside of geographical protective areas of the top performing members. The optimization process can be repeated until the set of members can satisfy an existing demand and/or revenue for the organization is maximized. | 03-27-2014 |
20140129290 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR PREDICTING ITEM PREFERENCE USING REVENUE-WEIGHTED COLLABORATIVE FILTER - Embodiments disclosed provide a system, method, and computer program product for identifying consumer items more likely to be bought by an individual user. In some embodiments, a collaborative filter may be used to rank items based on the degree to which they match user preferences. The collaborative filter may be hierarchical and may take various factors into consideration. Example factors may include the similarity among items based on observable features, a summary of aggregate online search behavior across multiple users, the item features determined to be most important to the individual user, and a baseline item against which a conditional probability of another item being selected is measured. | 05-08-2014 |
20140136550 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR DECODING VEHICLE IDENTIFICATION NUMBERS - A vehicle identification number (VIN) decoder (VDC) implementing a unique VIN decoding method may, for a given VIN, shorten the VIN and form a stem and a leaf therefrom. Utilizing the stem, the VDC may operate to find matching leaf values, if any, from a set of look up tables. Depending upon a match outcome, one or more trim identification code (TIC) values can be assigned to the VIN and a candidate list can be constructed utilizing the assigned TIC value(s). The candidate list, which can be optimized, may contain one or more candidate trims for the VIN. For each candidate trim, a confidence score and a match probability can be generated. The VDC may provide decoded information containing trim data associated with at least one of the one or more candidate trims for the VIN to a client device over a network connection. | 05-15-2014 |