Abstract: A combination of match-based and graph-based scoring techniques are used to derive accurate relative rankings for a number of similar vehicles or other items based on user input. The resulting ranking system can advantageously provide meaningful feedback to consumers, even in the presence of large variations in the number and mix of side-by-side comparisons. This scoring engine can be further improved through techniques such as limiting feedback to binary choices in a side-by-side comparison between two specific items, and preconditioning the receipt of user input on a user assertion of first-hand knowledge of the items being compared.

Abstract: Vehicle pricing such as used vehicle pricing is improved by supplementing statistical modeling techniques with additional algorithms to accommodate factors such as geography and dealer reputation that do not readily yield to regression analysis or similar tools that might be used to characterize a population.

Abstract: An aggregated online listing of vehicles or other items for sale is improved by identifying and removing potentially erroneous or fraudulent listings such as listings that are likely outdated or listings that include an unrealistic price. A variety of techniques may be used to identify these listings based upon historical sales data. For example, a decaying time model may be used to determine if a listed item should have sold after a certain period of time. As another example, a popularity model may be used to determine if a listed item should have sold after a certain number of views.

Abstract: A challenge-based system is provided for end users or website administrators to confirm the validity of an online listing by initiating requests for photographs of an item in various contexts, preferably contexts that would be difficult to reproduce without possession of the item listed.

Abstract: Vehicle pricing such as used vehicle pricing is improved by supplementing statistical modeling techniques with additional algorithms to accommodate factors such as geography and dealer reputation that do not readily yield to regression analysis or similar tools that might be used to characterize a population.

Abstract: Vehicle pricing such as used vehicle pricing is improved by supplementing statistical modeling techniques with additional algorithms to accommodate factors such as geography and dealer reputation that do not readily yield to regression analysis or similar tools that might be used to characterize a population.