Evaluating real estate properties

• US 20080235212A1
• Filed: 03/23/2007
• Published: 09/25/2008
• Est. Priority Date: 03/23/2007
• Status: Active Grant

• Current Assignee: Nice Idea Media, Inc.
• Original Assignee: Neil Binder
• Inventors: Binder, Neil
• Granted Patent: US 8,527,528 B2
• Time in Patent Office: Days
• US Class Current: 707/5
• CPC Class Codes: G06F 16/24558 Binary matching operations
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/9038 Presentation of query results
• CPC Class Codes: G06F 16/904 Browsing; Visualisation therefor for navigating the web G06F16/954; browsing optimisation for the web G06F16/957
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0278 Product appraisal
• CPC Class Codes: G06Q 30/0629 for generating comparisons
• CPC Class Codes: G06Q 50/16 Real estate

Abstract

The present invention is an improved system and method for analyzing multiple real estate properties. The system includes a pool of properties that are searched based on user-defined search criteria. The system identifies comparison properties from the search pool. The comparison properties include attributes that match or are a near match to the search criteria. The system compares each of the comparison properties to at least one average value and demonstrably depicts the comparison to the user.

Claims

1. A method of analyzing real estate property comprising:

determining a plurality of search features associated with each property found in a search pool of properties, each of said search features having an attribute value associated therewith;

identifying comparison properties from said search pool using at least one of said search features;

determining at least one average attribute value associated with said search features for said comparison properties;

comparing each of said attribute value for each comparison property with said average attribute value; and

depicting demonstrably said comparison.

2. The method of claim 1, wherein identifying said comparison properties comprises searching said pool and selecting properties using an initial filtering criteria based on at least one of said plurality of search features.

3. The method of claim 2, wherein determining said initial filtering criteria comprises determining a price range of purchase price.

4. The method of claim 3, wherein determining said price range comprises:

determining an upper price value using a seller price; and

determining a lower price value using a purchase price.

5. The method of claim 1, wherein searching for comparison properties comprises comparing at least one attribute of said properties to at least one of said plurality of search features.

6. The method of claim 1, wherein determining said average attribute value comprises:

summing said attribute value of each comparison property; and

dividing each of said sum by the total number of comparison properties.

7. The method of claim 6, comprising rounding said average attribute value.

8. The method of claim 1, wherein said plurality of search features are selected from the group consisting of property type, purchase price, location, building type, light, space and cost.

9. The method of claim 1, further comprising displaying said comparison in a grid.

10. The method of claim 1, further comprising displaying said comparison in at least one of a bar chart and pie chart.

11. The method of claim 1, wherein depicting demonstrably said comparison comprises displaying a symbol from the group consisting essentially of ‘

+’

, ‘

−

’ and

‘

=’

for said comparison.

12. The method of claim 1, further comprising evaluating said comparison properties using said comparison.

13. A system comprising:

a computer network;

a search pool coupled to the network, the search pool storing real estate property information;

a service delivery device coupled to the network, the service delivery device including a processor and memory storing instructions that, in response to receiving a request for access to a service, cause the processor to;

determine a plurality of search features associated with each property found in said search pool of properties, each of said search features having an attribute value associated therewith;

identify comparison properties from said search pool using at least one of said search features;

determine at least one average attribute value associated with said search features for said comparison properties;

compare each of said attribute value for each comparison property with said average attribute value; and

depict demonstrably said comparison.

14. The system of claim 13, wherein the memory stores instructions that, in response to receiving the request, cause the processor to search said pool and select properties using an initial filtering criteria based on at least one of said plurality of search features.

15. The system of claim 14, wherein the memory stores instructions that, in response to receiving the request, cause the processor to determine a price range of purchase price.

16. The system of claim 15, wherein the memory stores instructions that, in response to receiving the request, cause the processor to:

determine an upper price value using a seller price; and

determine a lower price value using a purchase price.

17. The system of claim 13, wherein the memory stores instructions that, in response to receiving the request, cause the processor to compare at least one attribute of said properties to at least one of said plurality of search features.

18. The system of claim 13, wherein the memory stores instructions that, in response to receiving the request, cause the processor to:

sum said attribute value of each comparison property; and

divide each of said sum by the total number of comparison properties.

19. The system of claim 18, wherein the memory stores instructions that, in response to receiving the request, cause the processor to round said average attribute value.

20. The system of claim 13, wherein the memory stores instructions that, in response to receiving the request, cause the processor to select from the group consisting of property type, purchase price, location, building type, light, space and cost.

21. The system of claim 13, wherein the memory stores instructions that, in response to receiving the request, cause the processor to display said comparison in a grid.

22. The system of claim 13, wherein the memory stores instructions that, in response to receiving the request, cause the processor to display said comparison in at least one of a bar chart and pie chart.

23. The system of claim 13, wherein the memory stores instructions that, in response to receiving the request, cause the processor to display a symbol from the group consisting essentially of ‘

+’

, ‘

−

’ and

‘

=’

for said comparison.

24. An article comprising a machine-readable medium storing machine-readable instructions that, when applied to the machine, cause the machine to:

determine a plurality of search features associated with each property found in said search pool of properties, each of said search features having an attribute value associated therewith;

identify comparison properties from said search pool using at least one of said search features;

determine at least one average attribute value associated with said search features for said comparison properties;

compare each of said attribute value for each comparison property with said average attribute value; and

depict demonstrably said comparison.

25. The article of claim 24 including instructions that, when applied to the machine, cause the machine to search said pool and select properties using an initial filtering criteria based on at least one of said plurality of search features.

26. The article of claim 25 including instructions that, when applied to the machine, cause the machine to determine a price range of purchase price.

27. The article of claim 26 including instructions that, when applied to the machine, cause the machine to:

determine an upper price value using a seller price; and

determine a lower price value using a purchase price.

28. The article of claim 24 including instructions that, when applied to the machine, cause the machine to compare at least one attribute of said properties to at least one of said plurality of search features.

29. The article of claim 24 including instructions that, when applied to the machine, cause the machine to:

sum said attribute value of each comparison property; and

divide each of said sum by the total number of comparison properties.

30. The article of claim 29 including instructions that, when applied to the machine, cause the machine to round said average attribute value.

31. The article of claim 24 including instructions that, when applied to the machine, cause the machine to select from the group consisting of property type, purchase price, location, building type, light, space and cost.

32. The article of claim 24 including instructions that, when applied to the machine, cause the machine to display said comparison in a grid.

33. The article of claim 24 including instructions that, when applied to the machine, cause the machine to display said comparison in at least one of a bar chart and pie chart.

34. The article of claim 24 including instructions that, when applied to the machine, cause the machine to display a symbol from the group consisting essentially of ‘

+’

, ‘

−

’ and

‘

=’

for said comparison.