Bid system for presentation of data items

• US 20080183596A1
• Filed: 01/31/2007
• Published: 07/31/2008
• Est. Priority Date: 01/31/2007
• Status: Abandoned Application

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Nash, Adam, Gross, Petra
• Application Number:
  US11/701,019
• Publication Number:
  US 20080183596A1
• Time in Patent Office: Days
• US Class Current: 705/27
• CPC Class Codes: G06F 16/90335 Query processing
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/08 Auctions

Abstract

A method includes determining an expected revenue benefit value associated with a presentation of a data item. A likelihood of an event related to the data item is determined. A ranking value is assigned to the data item, the ranking value being automatically calculated using the expected benefit value and the likelihood of the event related to the data item.

Claims

1. A method comprising:

determining an expected revenue benefit value associated with a presentation of a data item;

determining a likelihood of an event related to the data item; and

assigning a ranking value to the data item, the ranking value being automatically calculated using the expected benefit value and the likelihood of the event related to the data item.

2. The method of claim 1, including, at a publication system, selectively presenting the data item to a user of the publication system, based on the ranking value assigned to the data item.

3. The method of claim 2, wherein the selective presentation includes presenting a portion of the data item.

4. The method of claim 2, wherein the selective presentation includes highlighting the presentation of the data item, relative to presentations of other data items.

5. The method of claim 1, wherein the presentation of the data item is performed responsive to receipt of a query from the user, the query to locate data items published by the publication system.

6. The method of claim 1, wherein the determining of the expected revenue benefit value includes determining a success-based value commitment received by the publication system from a publishing user for a promoted presentation of the data item by the publication system.

7. The method of claim 6, wherein the promoted presentation of the data item by the publication system includes visually distinguishing presentation of the data item from unpromoted presentations of other data items.

8. The method of claim 1, wherein the determining of the expected revenue benefit value includes detecting an upfront fee received by the publication system from a publishing user for publication of the data item.

9. The method of claim 1, wherein the data item is a listing offering an item for sale, and the predetermined action is a sale of the item.

10. The method of claim 9, wherein the determining of the likelihood of the event includes determining historical event data relating to items having a relationship to the item offered for sale in the listing offering.

11. The method of claim 10, wherein the historical event data relates to the items similar to the item offered for sale in the listing offering.

12. The method of claim 10, wherein the historical event data comprises a ratio of a number of sales of the similar items to a number of viewings of listings for the similar items.

13. The method of claim 1, wherein the determining of the likelihood of the event includes determining a relevance of the data item to the query received from the user of the publication system.

14. The method of claim 6, including detecting occurrence of the event related to the presentation of the data item, and debiting a publishing user for a success-based value commitment responsive to the detection of the occurrence of the event.

15. The method of claim 14, wherein the detecting of the occurrence of the event includes detecting a purchase of an item offered for sale by the data item by a further user.

16. The method of claim 14, wherein the detecting of the occurrence of the event includes detecting addition of an item offered for sale by the data item to an electronic shopping cart for a wish list.

17. The method of claim 14, wherein the detecting of the occurrence of the event includes detecting qualification of a lead related to an item offered for sale by the data item.

18. A system comprising:

a value component to determine an expected revenue benefit value associated with a presentation of a data item;

an event component to determine a likelihood of an event related to the data item; and

a ranking component to assign a ranking value to the data item, the ranking value being automatically calculated by the ranking component using the expected benefit value and the likelihood of the event related to the data item.

19. The system of claim 18, including a presentation component selectively to present the data item to a user of a publication system, based on the ranking value assigned to the data item.

20. The system of claim 19, wherein the presentation component is to present only a portion of the data item.

21. The system of claim 19, wherein the presentation component is to highlight the presentation of the data item, relative to presentations of other data items.

22. The system of claim 18, wherein the presentation component is to present the data item responsive to receipt of a query from the user, the query to locate data items published by a publication system.

23. The system of claim 18, wherein the value component is to determine a success-based value commitment received from a publishing user for a promoted presentation of the data item by a publication system.

24. The system of claim 18, wherein the value component is to determine an upfront fee received from a publishing user for publication of the data item.

25. The system of claim 18, wherein the data item is a listing offering an item for sale, and the predetermined action is a sale of the item.

26. The system of claim 18, wherein the event component is to determine the likelihood of the event by determining historical event data relating to items having a relationship to the item offered for sale in the listing offering.

27. The system of claim 26, wherein the historical event data relates to the items similar to the item offered for sale in the listing offering.

28. The system of claim 27, wherein the historical event data comprises a ratio of a number of sales of the similar items to a number of viewings of listings for the similar items.

29. The system of claim 18, wherein the event component is to determine the likelihood of the event by determining a relevance of the data item to the query received from the user of the publication system.

30. The system of claim 29, including an event detection component to detect occurrence of the event related to the presentation of the data item, and a payment component to receive payment from a publishing user for a success-based value commitment responsive to the detection of the occurrence of the event.

31. The system of claim 30, wherein the event detection component is to detect a purchase of an item offered for sale by the data item by a further user.

32. The system of claim 30, wherein the event detection component is to detect addition of an item offered for sale by the data item to an electronic shopping cart for a wish list.

33. The system of claim 30, wherein the event detection component is to detect qualification of a lead related to an item offered for sale by the data item.

34. A system comprising:

first means for determining an expected revenue benefit value associated with a presentation of a data item;

second means for determine a likelihood of an event related to the data item; and

third means for assigning a ranking value to the data item, the ranking value being automatically calculated by the ranking component using the expected benefit value and the likelihood of the event related to the data item.

35. A machine-readable medium embodying instructions that, when executed by a machine, cause the machine to perform operations comprising:

determining an expected revenue benefit value associated with a presentation of a data item;

determining a likelihood of an event related to the data item; and

assigning a ranking value to the data item, the ranking value being automatically calculated using the expected benefit value and the likelihood of the event related to the data item.