System and method for customizing a user experience based on automatically weighted criteria

• US 9,959,560 B1
• Filed: 08/26/2014
• Issued: 05/01/2018
• Est. Priority Date: 08/26/2014
• Status: Active Grant

• Current Assignee: Intuit, Inc.
• Original Assignee: Intuit, Inc.
• Inventors: Whitaker, Nathan, Winkler, Zach, Byrne, Christine Anne
• Primary Examiner(s): LEVINE, ADAM L
• Application Number:
  US14/468,624
• Time in Patent Office: 1,344 Days
• CPC Class Codes: G06Q 30/0625 Directed, with specific intent or strategy
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

Transaction data of a first party and transaction data of a population are both analyzed to determine weighting and normalizing factors, which when applied to data operate to prioritize and personalize the data. The prioritization of the data is based on the analysis and results in use of the data in accordance with user preferences as evidenced in prior activities of the first party represented by the transaction data. In a navigation system, applying data prioritizations speeds performance of the system and eliminates duplicate or follow-on searches, and allows efficient selection of potential routes and destinations.

Claims

1. A system for customizing a user experience based on automatically weighted criteria comprising:

at least one processor; and

at least one memory coupled to the at least one processor, the at least one memory having stored therein instructions which when executed by the at least one processor, perform a process for customizing a user experience based on automatically weighted criteria comprising;

receiving, from an originating computing system, a search request initiated by a first party, the search request including search criteria;

determining two or more search request results meeting the search criteria, the two or more search request results each having results characteristics;

receiving first party transaction data of the first party, the first party transaction data including individual first party transactions having first party transaction characteristics associated with the first party;

receiving population transaction data for a population of users other than the first party, the population transaction data including individual population transactions having population transaction characteristics associated with users of the population;

determining, using the first party transaction data, a party weighting value for each of the transaction characteristics of the first party transaction data that match at least one of the results characteristics;

determining, using the population transaction data, a normalizing value for each of the population transaction characteristics of the population transaction data that match one of the results characteristics;

combining, for each of the transaction characteristics of the first party transaction data that match one of the results characteristics, the respective normalizing value and party weighting value, resulting in a combined party rating;

ordering the search results according to the combined party ratings; and

presenting the search results to the originating computing system.

2. The system for customizing a user experience based on automatically weighted criteria of claim 1, wherein the party transaction data includes financial transaction data of the party received from at least one financial institution.

3. The system for customizing a user experience based on automatically weighted criteria of claim 1, wherein the population transaction data includes financial transaction data of individual members of the population received from at least one financial institution.

4. The system for customizing a user experience based on automatically weighted criteria of claim 1, wherein determining, using the party transaction data, a party weighting value for each of the transaction characteristics of the first party transaction data that match one of the results characteristics comprises:

determining one or more first party transaction characteristics of one or more transactions of the first party transaction data;

determining one or more population transaction characteristics of one or more transactions of the population transaction data;

performing, for each first party transaction characteristic that is equivalent to a population transaction characteristic and which is also equivalent to a results characteristic;

determining, over first party transactions having the first party transaction characteristic, a first party standard deviation of values represented by the first party transaction characteristic;

determining, over population transactions having the population transaction characteristic, a population standard deviation of values represented by the population transaction characteristic; and

determining a relationship value between the first party standard deviation and the population standard deviation;

combining, once all relationship values have been determined, the relationship values into a combined relationship value; and

determining a party weighting value for each first party transaction characteristic that is equivalent to a population transaction characteristic and which is also equivalent to a results characteristic by dividing each relationship value for each first party transaction characteristic by the combined relationship value.

5. The system for customizing a user experience based on automatically weighted criteria of claim 1, wherein determining, using the population transaction data, a normalizing value for each of the transaction characteristics of the first party transaction data that match one of the results characteristics comprises:

determining one or more population transaction characteristics of one or more transactions of the population transaction data;

performing, for each population transaction characteristic that is equivalent to a results characteristic;

determining, over population transactions having the results characteristic, a population standard deviation of values represented by the population transaction characteristic;

determining, using the values of each population transaction characteristic for each population transaction having the results characteristic, an average value of the population transaction characteristic;

determining a first value which is one standard deviation below the average value of the population transaction characteristic;

determining a second value which is one standard deviation above the average value of the population transaction characteristic; and

determining, for each search result associated with the results characteristic, a normalized value for the results characteristic, the normalized value being determined using the first value, the second value and a results characteristic value associated with the search result.

6. The system for customizing a user experience based on automatically weighted criteria of claim 1, wherein the first party transaction characteristics include at least one first party transaction characteristic selected from the group of first party transaction characteristics consisting of:

a distance;

a food type;

a merchant type;

a product type; and

a product cost.

7. The system for customizing a user experience based on automatically weighted criteria of claim 1, wherein the results characteristics include at least one results characteristic selected from the group of results characteristics consisting of:

a distance;

a food type;

a merchant type;

a product type; and

a product cost.

8. The system for customizing a user experience based on automatically weighted criteria of claim 1, wherein at least one result characteristic is derived from a combination of party data and entity data, wherein entity data is data about an entity associated with an individual search result.

9. The system for customizing a user experience based on automatically weighted criteria of claim 8, wherein distance is a result characteristic derived from a location of the entity and a location of the party.

10. A system for customizing a user experience based on automatically weighted criteria comprising:

receiving, at a second computing system from an originating computing system, a search request initiated by a first party, the search request including search criteria;

determining, at the second computing system, two or more search request results meeting the search criteria, the two or more search request results each having results characteristics;

receiving, at a third computing system, data indicating the results characteristics;

receiving, at the third computing system, first party transaction data of the first party, the first party transaction data including individual first party transactions having first party transaction characteristics associated with the first party;

receiving, at the third computing system, population transaction data for a population of users other than the first party, the population transaction data including individual population transactions having population transaction characteristics associated with users of the population;

determining, at the third computing system using the first party transaction data, a party weighting value for each of the transaction characteristics of the first party transaction data that match at least one of the results characteristics;

determining, at the third computing system using the population transaction data, a normalizing value for each of the transaction characteristics of the first party transaction data that match one of the results characteristics;

combining, at the third computing system for each of the transaction characteristics of the first party transaction data that match one of the results characteristics, the respective normalizing value and party weighting value, resulting in a combined party rating;

receiving, at the second computing system, the combined party ratings;

ordering, at the second computing system, the search results according to the combined party ratings; and

presenting the search results to the originating computing system.

11. The system for customizing a user experience based on automatically weighted criteria of claim 10, wherein the party transaction data includes financial transaction data of the party received from at least one financial institution.

12. The system for customizing a user experience based on automatically weighted criteria of claim 10, wherein the population transaction data includes financial transaction data of individual members of the population received from at least one financial institution.

13. The system for customizing a user experience based on automatically weighted criteria of claim 10, wherein determining, at the third computing system using the party transaction data, a party weighting value for each of the transaction characteristics of the first party transaction data that match one of the results characteristics comprises:

determining one or more first party transaction characteristics of one or more transactions of the first party transaction data;

determining one or more population transaction characteristics of one or more transactions of the population transaction data;

performing, for each first party transaction characteristic that is equivalent to a population transaction characteristic and which is also equivalent to a results characteristic;

determining, over first party transactions having the first party transaction characteristic, a first party standard deviation of values represented by the first party transaction characteristic;

determining, over population transactions having the population transaction characteristic, a population standard deviation of values represented by the population transaction characteristic; and

determining a relationship value between the first party standard deviation and the population standard deviation;

combining, once each relationship value has been determined, the relationship values into a combined relationship value; and

determining a party weighting value for each first party transaction characteristic that is equivalent to a population transaction characteristic and which is also equivalent to a results characteristic by dividing each relationship value for each first party transaction characteristic by the combined relationship value.

14. The system for customizing a user experience based on automatically weighted criteria of claim 10, wherein determining, at the third computing system using the population transaction data, a normalizing value for each of the transaction characteristics of the first party transaction data that match one of the results characteristics comprises:

determining one or more population transaction characteristics of one or more transactions of the population transaction data;

performing, for each population transaction characteristic that is equivalent to a results characteristic;

determining, over population transactions having the results characteristic, a population standard deviation of values represented by the population transaction characteristic;

determining, using the values of each population transaction characteristic for each population transaction having the results characteristic, an average value of the population transaction characteristic;

determining a first value which is one standard deviation below the average value of the population transaction characteristic;

determining a second value which is one standard deviation above the average value of the population transaction characteristic; and

determining, for each search result associated with the results characteristic, a normalized value for the results characteristic, the normalized value being determined using the first value, the second value and a results characteristic value associated with the search result.

15. The system for customizing a user experience based on automatically weighted criteria of claim 10, wherein the first party transaction characteristics include at least one first party transaction characteristic selected from the group of first party transaction characteristics consisting of:

a distance;

a food type;

a merchant type;

a product type; and

a product cost.

16. The system for customizing a user experience based on automatically weighted criteria of claim 10, wherein the results characteristics include at least one results characteristic selected from the group of results characteristics consisting of:

a distance;

a food type;

a merchant type;

a product type; and

a product cost.

17. The system for customizing a user experience based on automatically weighted criteria of claim 10, wherein at least one result characteristic is derived from a combination of party data and entity data, wherein entity data is data about an entity associated with an individual search result.

18. The system for customizing a user experience based on automatically weighted criteria of claim 17, wherein distance is a result characteristic derived from a location of the entity and a location of the party.

19. A computer program product for customizing a user experience based on automatically weighted criteria comprising:

a nontransitory computer readable medium, and

executable program code which when loaded into memories of one or more computing systems and executed by one or more computing system processors coupled to the memories performs a process for customizing a user experience based on automatically weighted criteria comprising;

receiving a search request initiated by a first party, the search request including search criteria;

determining two or more search request results meeting the search criteria, the two or more search request results each having results characteristics;

receiving data indicating the results characteristics;

receiving first party transaction data of the first party, the first party transaction data including individual first party transactions having first party transaction characteristics associated with the first party;

receiving population transaction data for a population of users other than the first party, the population transaction data including individual population transactions having population transaction characteristics associated with users of the population;

determining, using the first party transaction data, a party weighting value for each of the transaction characteristics of the first party transaction data that match at least one of the results characteristics;

determining, using the population transaction data, a normalizing value for each of the transaction characteristics of the first party transaction data that match one of the results characteristics;

combining, for each of the transaction characteristics of the first party transaction data that match one of the results characteristics, the respective normalizing value and party weighting value, resulting in a combined party rating;

ordering the search results according to the combined party ratings; and

presenting the search results to the originating computing system.

20. The computer program product for customizing a user experience based on automatically weighted criteria of claim 19, wherein the party transaction data includes financial transaction data of the party received from at least one financial institution.

21. The computer program product for customizing a user experience based on automatically weighted criteria of claim 19, wherein the population transaction data includes financial transaction data of individual members of the population received from at least one financial institution.

22. The computer program product for customizing a user experience based on automatically weighted criteria of claim 19, wherein determining, at the third computing system using the party transaction data, a party weighting value for each of the transaction characteristics of the first party transaction data that match one of the results characteristics comprises:

determining one or more first party transaction characteristics of one or more transactions of the first party transaction data;

determining one or more population transaction characteristics of one or more transactions of the population transaction data;

performing, for each first party transaction characteristic that is equivalent to a population transaction characteristic and which is also equivalent to a results characteristic;

determining, over first party transactions having the first party transaction characteristic, a first party standard deviation of values represented by the first party transaction characteristic;

determining, over population transactions having the population transaction characteristic, a population standard deviation of values represented by the population transaction characteristic; and

determining a relationship value between the first party standard deviation and the population standard deviation;

combining, once each relationship value has been determined, the relationship values into a combined relationship value; and

determining a party weighting value for each first party transaction characteristic that is equivalent to a population transaction characteristic and which is also equivalent to a results characteristic by dividing each relationship value for each first party transaction characteristic by the combined relationship value.

23. The computer program product for customizing a user experience based on automatically weighted criteria of claim 19, wherein determining, at the third computing system using the population transaction data, a normalizing value for each of the transaction characteristics of the first party transaction data that match one of the results characteristics comprises:

determining one or more population transaction characteristics of one or more transactions of the population transaction data;

performing, for each population transaction characteristic that is equivalent to a results characteristic;

determining, over population transactions having the results characteristic, a population standard deviation of values represented by the population transaction characteristic;

determining, using the values of each population transaction characteristic for each population transaction having the results characteristic, an average value of the population transaction characteristic;

determining a first value which is one standard deviation below the average value of the population transaction characteristic;

determining a second value which is one standard deviation above the average value of the population transaction characteristic; and

determining, for each search result associated with the results characteristic, a normalized value for the results characteristic, the normalized value being determined using the first value, the second value and a results characteristic value associated with the search result.

24. The computer program product for customizing a user experience based on automatically weighted criteria of claim 19, wherein the first party transaction characteristics include at least one first party transaction characteristic selected from the group of first party transaction characteristics consisting of:

a distance;

a food type;

a merchant type;

a product type; and

a product cost.

25. The computer program product for customizing a user experience based on automatically weighted criteria of claim 19, wherein the results characteristics include at least one results characteristic selected from the group of results characteristics consisting of:

a distance;

a food type;

a merchant type;

a product type; and

a product cost.

26. The computer program product for customizing a user experience based on automatically weighted criteria of claim 19, wherein at least one result characteristic is derived from a combination of party data and entity data, wherein entity data is data about an entity associated with an individual search result.

27. The computer program product for customizing a user experience based on automatically weighted criteria of claim 26, wherein distance is a result characteristic derived from a location of the entity and a location of the party.