Appraising a domain name using keyword monetary value data

• US 8,909,558 B1
• Filed: 09/14/2012
• Issued: 12/09/2014
• Est. Priority Date: 02/19/2010
• Status: Active Grant

• Current Assignee: Go Daddy Operating Company LLC (GoDaddy, Inc.)
• Original Assignee: Go Daddy Operating Company LLC (GoDaddy, Inc.)
• Inventors: Nicks, Paul, Lutwitze, Patrick
• Primary Examiner(s): Phillips, III, Albert
• Application Number:
  US13/616,505
• Time in Patent Office: 816 Days
• Field of Search: 705/306, 707/944
• US Class Current: 705/306
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising

Abstract

Systems and methods of the present invention provide for storing one or more data records, comprising a text string and a monetary value associated with the text string, in a database. One or more server computers may receive an appraisal request for a domain name and identify one or more keywords in the domain name. The server(s) may then determine an existence of one or more matching data records wherein the text string in the record(s) match the identified keyword. If the matching data records exist, the server(s) may identify a keyword frequency count and a keyword monetary value for that keyword. A keyword appraisal value may be generated by dividing the keyword monetary value by the keyword frequency count. The appraisal value for all identified keywords may be added to the domain name appraisal and the domain name appraisal may be transmitted to a client computer.

Claims

1. A method, comprising:

A) storing, on a database running on one or more server computers communicatively coupled to a network, one or more data records, each of said one or more data records comprising;

i) a text string; and

ii) a monetary value associated with said text string;

B) receiving, by said one or more server computers, an appraisal request for a domain name;

C) setting, by said one or more server computers, an appraisal value of said domain name to 0;

D) identifying, by said one or more server computers, a keyword within said domain name;

E) determining, by said one or more server computers, the existence, within said database, of one or more matching data records wherein said text string matches said keyword;

F) responsive to a determination that said one or more matching data records do not exist within said database, generating, by said one or more server computers, a keyword appraisal value of 0;

G) responsive to a determination that said one or more matching data records exist within said database;

i) identifying, by said one or more server computers, a keyword frequency count comprising a quantity of said one or more matching data records;

ii) identifying, by said one or more server computers, a keyword monetary value comprising a sum of said monetary value, associated with said text string, for all of said one or more matching data records;

iii) generating, by said one or more server computers, said keyword appraisal value comprising a quotient calculated by dividing said keyword monetary value by said keyword frequency count; and

iv) adding, by said one or more server computers, said keyword appraisal value to said appraisal value of said domain name; and

H) transmitting, by said one or more server computers, said appraisal value to one or more client computers communicatively coupled to said network.

2. The method of claim 1, further comprising the steps of:

i) identifying, by said one or more server computers, one or more additional keywords within said domain name; and

ii) for each of said one or more additional keywords, repeating, by said one or more server computers, steps E)-G) iv).

3. The method of claim 1, further comprising the steps of:

i) receiving, by said one or more server computers, for each of one or more sold domain names in a domain name aftermarket, a plurality of aftermarket sales information comprising;

a) a sold domain name sold in said domain name aftermarket;

b) a sale date on which said sold domain name was sold in said domain name aftermarket; and

c) a sale price for which said sold domain name sold in said domain name aftermarket;

ii) identifying, by said one or more server computers, in said sold domain name;

a top level domain, one or more keywords, a quantity of said one or more keywords and an ordinal position of each of said one or more keywords;

iii) generating, by said one or more server computers, for each of said one or more keywords, said monetary value comprising a quotient calculated by dividing said sale price by said quantity of said one or more keywords; and

iv) writing to said database, by said one or more server computers, for each of said one or more keywords;

a) said sale date;

b) said text string comprising one of said one or more keywords;

c) said monetary value;

d) said ordinal position, in said sold domain name, of said one of said one or more keywords; and

e) said top level domain.

4. The method of claim 3, wherein said plurality of aftermarket sales information is received from a sold domain names table in said database, said sold domain names table comprising a sold domain name data record for each of said one or more sold domain names and said sold domain name data record comprising said plurality of aftermarket sales information.

5. The method of claim 3, wherein said plurality of aftermarket sales information is received from a queue of aftermarket sales information flagged within said one or more server computers to be processed according to steps i)-vi) and written to said database according to step vii).

6. The method of claim 3, wherein said plurality of aftermarket sales information is received by said one or more server computers each day at a prescheduled time.

7. The method of claim 3, wherein said plurality of aftermarket sales information is received at a conclusion of a sale of said sold domain name in said domain name aftermarket.

8. The method of claim 3, wherein said plurality of aftermarket sales information further comprises:

a) a domain aftermarket data identifying said sold domain name as being sold in said domain name aftermarket;

b) a highest bid offered, in said domain name aftermarket, for said sold domain name; and

c) a discount domain data identifying said sold domain name as having been sold at a discount in said domain name aftermarket;

and further comprising the step of writing to said database, by said one or more server computers;

said domain aftermarket data;

said highest bid offered; and

said discount domain data.

9. The method of claim 8, wherein said monetary value is generated, by said one or more server computers, by calculating a quotient calculated by dividing said highest bid offered by said quantity of said one or more keywords.

10. The method of claim 8, further comprising the step of:

responsive to a determination that said one or more matching data records exist within said database, excluding, from said one or more matching data records, any of said one or more data records comprising said discount domain data.

11. The method of claim 2, wherein said determining step E) further comprises the steps of:

i) identifying, by said one or more server computers;

a) an ordinal position, in said domain name, of said keyword; and

b) a top level domain of said domain name;

ii) generating, by said one or more server computers, a query for said one or more matching data records, said query comprising one or more query parameters comprising;

a) said keyword;

b) said ordinal position, in said domain name, of said keyword; and

c) said top level domain

iii) transmitting, by said one or more server computers, said query to said database;

iv) receiving, by said one or more server computers, a query result from said database.

12. The method of claim 11, further comprising the steps of:

i) while said query result does not comprise said one or more matching data records, and while a quantity of said one or more query parameters is greater than 0;

a) removing, by said one or more server computers, one of said one or more query parameters; and

b) querying said database, by said one or more server computers, for said one or more matching data records according to said one or more query parameters remaining;

ii) responsive to a determination that said query result comprises said one or more matching data records;

a) generating, by said one or more server computers, a weighted query value comprising a quotient of said quantity of said one or more query parameters remaining, divided by 3; and

b) prior to generating said keyword appraisal;

1) resetting, by said one or more server computers, a value of said keyword frequency count to a product of said keyword frequency count and said weighted query value; and

2) resetting, by said one or more server computers, a value of said keyword monetary value to a product of said keyword monetary value and said weighted query value.

13. The method of claim 12, further comprising the step of removing, by said one or more server computers, said top level domain as said one of said one or more query parameters prior to removing, by said one or more server computers, said ordinal position of said keyword as said one of said one or more query parameters.

14. The method of claim 12, further comprising the steps of, prior to generating, by said one or more server computers, said keyword appraisal:

i) identifying, by said one or more server computers, a current date;

ii) setting, by said one or more server computers, an age-weighted keyword frequency count and an age-weighted keyword monetary value to 0;

iii) identifying, by said one or more server computers, in each of said one or more matching data records, a sale date on which said text string was identified in a sold domain name;

iv) for each said sale date identified;

a) calculating, by said one or more server computers, an age of said sale date, said age comprising a number of months between said current date and said sale date;

b) calculating, by said one or more server computers, an age weight value comprising an age weight numerator divided by an age weight denominator, wherein;

1) said age weight denominator comprises a multiple of 12;

2) said age weight numerator comprises said age subtracted from said age weight denominator; and

3) said age weight value comprises a value of 0 if said age is greater than said age weight denominator;

c) identifying, by said one or more server computers, a sale date frequency count comprising a quantity of said one or more matching data records comprising said sale date;

d) adding, by said one or more server computers, a product of said sale date frequency count and said age weight value to said age-weighted keyword frequency count;

e) identifying, by said one or more server computers, a sale date monetary value comprising a sum of said monetary value associated with said text string for all of said one or more matching data records;

f) adding, by said one or more server computers, a product of said sale date monetary value and said age weight value to said age-weighted keyword monetary value;

v) replacing, by said one or more server computers, a value assigned to said keyword frequency count with said age-weighted keyword frequency count; and

vi) replacing, by said one or more server computers, a value assigned to said keyword monetary value with said age-weighted keyword monetary value.

15. The method of claim 14, wherein said age weight denominator is 24.

16. The method of claim 14, wherein said age weight denominator is 12.

17. The method of claim 1, wherein said keyword appraisal is generated by:

i) determining, by said one or more server computers, whether said keyword frequency count is 1 or greater;

ii) responsive to a determination that said keyword frequency count is not 1 or greater, generating, by said one or more server computers, said keyword appraisal by multiplying said keyword monetary value by said keyword frequency count.

18. The method of claim 1, further comprising the step of writing, by said one or more server computers, said keyword frequency count and said keyword monetary value to said database.