DATABASE SYSTEMS FOR MEASURING IMPACT ON THE INTERNET

• US 20160012454A1
• Filed: 09/09/2015
• Published: 01/14/2016
• Est. Priority Date: 08/16/2007
• Status: Abandoned Application

• Current Assignee: Salesforce.com, Inc.
• Original Assignee: Salesforce.com, Inc.
• Inventors: Newton, Christopher Daniel, Lebrun, Marcel Albert, Ramsey, Christopher Bennett
• Application Number:
  US14/849,144
• Publication Number:
  US 20160012454A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Database computer systems are provided for determining influence of various categories of content sources on a selected brand. A brand profile using terms and URLs associated with the selected brand is stored in a database. The computer queries popular search engines over the Internet using the terms and URLs from the database as search terms. The results are classified according to their category of content sources and impact values and a brand ownership score are calculated from the classified results and from other weights associated to the ranks of the results, to the category of content sources and to the search engines. The category of content sources having ownership of the selected brand is then identified.

Claims

1. A computer system comprising:

a database to store a brand profile, the brand profile comprising a list of words and phrases;

a computer coupled to the database and the Internet, the computer comprising a processing module and a memory storing computer readable instructions for execution by the processor to provide;

a search engine interface to query each search engine of a set of search engines over the Internet using the words and phrases from the brand profile stored in the database as search terms and retrieve a predetermined number of search results returned by each search engine of the set of search engines;

a classification engine to classify the predetermined number of search results retrieved by the search engine interface from each search engine of the set of search engines into a plurality of categories of content sources by assigning each search result of the predetermined number search results from a respective search engine to a respective category of the plurality of categories of content sources based on a respective origin site associated with each respective search result, resulting in classified search results; and

a score calculation engine to calculate, for each category of the plurality of categories of content sources, a respective impact value across the set of search engines based on the classified search results and identify a first category of the plurality of categories of content sources having a highest impact value.

2. The computer system of claim 1, wherein:

the brand profile includes uniform resource locators associated with a brand;

the plurality of categories of content sources includes a brand owned category; and

the classified search results include one or more search results of the predetermined number search results assigned to the brand owned category based on comparing the respective origin site of the one or more search results to the uniform resource locators associated with the brand.

3. The computer system of claim 2, wherein:

the plurality of categories of content sources includes a community owned category; and

the classified search results include a second set of one or more search results of the predetermined number search results assigned to the community owned category based on comparing the respective origin site of the one or more search results of the second set to a list generated by an automated social media monitoring service.

4. The computer system of claim 3, wherein:

the plurality of categories of content sources includes a mainstream media owned category; and

the classified search results include a third set of one or more search results of the predetermined number search results assigned to the mainstream media owned category based on comparing the respective origin site of the one or more search results of the third set to a list of online mainstream media outlets maintained by a third party.

5. The computer system of claim 4, wherein:

the plurality of categories of content sources includes a spam owned category; and

the classified search results include a fourth set of one or more search results of the predetermined number search results assigned to the spam owned category based on the respective origin site of the one or more search results of the fourth set using one or more spam filters.

6. The computer system of claim 5, wherein:

the plurality of categories of content sources includes a third party category; and

the classified search results include a fifth set of one or more remaining search results of the predetermined number search results assigned to the third party category based on the one or more remaining search results not being classified into the brand owned category, the community owned category, the mainstream media owned category, or the spam owned category.

7. The computer system of claim 1, wherein score calculation engine calculates the respective impact value for each category of the plurality of categories of content sources based on a number of search results classified under the respective category, a respective rank weight assigned to each respective search result of the number of search results classified under the respective category, and a respective search engine weight assigned to a respective search engine of the set of search engines associated with each respective search result of the number of search results classified under the respective category.

8. The computer system of claim 7, wherein the respective rank weight is assigned to each respective search result according to its rank in the predetermined number of search results retrieved from the respective search engine of the set of search engines associated with the respective search result.

9. The computer system of claim 7, wherein the respective search engine weight accounts for a level of popularity of the respective search engine among the set of search engines.

10. The computer system of claim 1, wherein the score calculation engine calculates a brand ownership score based on the classified search results.

11. The computer system of claim 10, further comprising a time series data store to store the brand ownership score in a time series to allow for a trend analysis to be performed.

12. The computer system of claim 11, wherein the trend analysis comprises charting out control moving from the first category of the plurality of categories to a second category of the plurality of categories.

13. A computer readable medium, comprising a computer code instructions stored thereon, which, when executed by a processing module of a computer coupled to the Internet and a database storing a brand profile comprising a list of words and phrases, cause the computer to:

query, over the Internet, each search engine of a set of search engines using the words and phrases from the brand profile stored in the database as search terms to retrieve a predetermined number of search results returned by each search engine of the set of search engines;

classify the predetermined number search results retrieved from each search engine of the set of search engines into a plurality of categories of content sources by assigning each search result of the predetermined number search results from a respective search engine to a respective category of the plurality of categories of content sources based on a respective origin site associated with each respective search result, resulting in classified search results;

calculate, for each category of the plurality of categories of content sources, a respective impact value across the set of search engines based on the classified search results, resulting in a plurality of impact values; and

identify a first category of the plurality of categories of content sources having a highest impact value of the plurality of impact values.

14. The computer readable medium of claim 13, wherein:

the brand profile includes uniform resource locators associated with a brand; and

the computer code instructions cause the computer to classify the predetermined number search results by assigning one or more search results of the predetermined number search results to a brand owned category of the plurality of categories based on comparing the respective origin site of the one or more search results to the uniform resource locators associated with the brand.

15. The computer readable medium of claim 14, wherein the computer code instructions cause the computer to classify the predetermined number search results by assigning a second set of one or more search results of the predetermined number search results to a community owned category based on comparing the respective origin site of the one or more search results of the second set to a list generated by an automated social media monitoring service.

16. The computer readable medium of claim 15, wherein the computer code instructions cause the computer to classify the predetermined number search results by assigning a third set of one or more search results of the predetermined number search results to a mainstream media owned category based on comparing the respective origin site of the one or more search results of the third set to a list of online mainstream media outlets maintained by a third party.

17. The computer readable medium of claim 16, wherein the computer code instructions cause the computer to classify the predetermined number search results by:

assigning a fourth set of one or more search results of the predetermined number search results to a spam owned category based on the respective origin site of the one or more search results of the fourth set using one or more spam filters; and

assigning remaining search results to a third party category after assigning search results to the brand owned category, the community owned category, the mainstream media owned category, and the spam owned category.

18. The computer readable medium of claim 13, wherein the computer code instructions cause the computer to calculate the respective impact value for each category of the plurality of categories of content sources based on a number of search results classified under the respective category, a respective rank weight assigned to each respective search result of the number of search results classified under the respective category, and a respective search engine weight assigned to a respective search engine of the set of search engines associated with each respective search result of the number of search results classified under the respective category.

19. The computer readable medium of claim 18, wherein the respective rank weight is assigned to each respective search result according to its rank in the predetermined number of search results retrieved from the respective search engine of the set of search engines associated with the respective search result.

20. The computer readable medium of claim 13, wherein the computer code instructions cause the computer to:

calculate a brand ownership score based on the classified search results; and

store the brand ownership score in a time series to allow for a trend analysis to be performed.