Dynamically ranking entries in a personal data book

• US 9,262,446 B1
• Filed: 12/29/2005
• Issued: 02/16/2016
• Est. Priority Date: 12/29/2005
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Katragadda, Lalitesh
• Primary Examiner(s): Lo, Ann J
• Application Number:
  US11/323,364
• Time in Patent Office: 3,701 Days
• Field of Search: 707/102, 709/225, 705/26, 719/310, 701/209
• US Class Current: 1/1
• CPC Class Codes: G06F 16/20 of structured data, e.g. relational data
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06F 16/957 Browsing optimisation, e.g. caching or content distillation
• CPC Class Codes: G06F 40/174 Form filling; Merging
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

Techniques are disclosed for automatically generating and maintaining personal data, such as an address book, a financial portfolio, a discussion groups or blogs book, or other types of personal data stores, based on a person'"'"'s structured search data and/or usage data (e.g., browsing) and/or other sources of personal data (e.g., emails the user receives). Related metadata can also be used in the generating and/or maintaining of the personal data. Dynamic personal data ranking and/or autocomplete functions are also provided, which can be used in conjunction with the automatic generation and maintenance of the user'"'"'s personal data, to further ease the user'"'"'s burden in managing and/or handling such data.

Claims

1. A computer-implemented method for dynamically ranking entries in a personal data book for a user, comprising:

receiving at a server, a user search request and associated metadata from a client device;

determining at the server a current location of the client device from the metadata;

searching at the server, the personal data book to obtain one or more entries that are responsive to the user search request, each entry associated with a frequency of use and an age of a last use; and

ranking at the server, each of the one or more responsive entries in the personal data book based at least in part on the current location of the client device, the frequency of use for each responsive entry, and the age of a last use of each responsive entry to produce an ordered rank of the plurality of responsive entries.

2. The method of claim 1, wherein ranking at the server, each of the one or more responsive entries in the personal data book further comprises:

ranking each of the one or more responsive entries based at least in part on a relevance of the entry to the user.

3. The method of claim 1, wherein ranking at the server, each of the one or more responsive entries in the personal data book further comprises:

ranking each of the one or more responsive entries based at least in part on a seasonality of the use of the entry.

4. The method of claim 1 wherein ranking at the server, each of the one or more responsive entries in the personal data book further comprises:

ranking each of the one or more responsive entries based at least in part on a current time.

5. The method of claim 1, wherein the current location of the client device is estimated based on at least one of an IP address of the client device or address information associated with the user.

6. The method of claim 1 wherein at least one of the one or more responsive entries includes a name of a web-based application where the user is likely to use the entry.

7. The method of claim 6, wherein ranking at the server, each of the one or more responsive entries in the personal data book further comprises:

ranking each of the at least one of the one or more responsive entries based at least in part on user browsing activity in the web-based application.

8. A computer program product for dynamically ranking entries in a personal data book for a user, comprising a non-transitory computer-readable storage medium containing computer program code for controlling a processor to perform a method comprising:

receiving at a server, a user search request and associated metadata from a client device;

determining at the server a current location of the client device from the metadata;

searching at the server, the personal data book to obtain one or more entries that are responsive to the user search request, each entry associated with a frequency of use and an age of a last use; and

ranking at the server, each of the one or more responsive entries in the personal data book based at least in part on the current location of the client device, the frequency of use for each responsive entry, and the age of last a use of each entry to produce an ordered rank of the plurality of responsive entries.

9. The computer program product of claim 8, wherein ranking at the server, each of the one or more responsive entries in the personal data book further comprises:

ranking each of the one or more responsive entries based at least in part on a relevance of the entry to the user.

10. The computer program product of claim 8, wherein ranking at the server, each of the one or more responsive entries in the personal data book further comprises:

ranking each of the one or more responsive entries based at least in part on a seasonality of the use of the entry.

11. The computer program product of claim 8, wherein ranking at the server, each of the one or more responsive entries in the personal data book further comprises:

ranking each of the one or more responsive entries based at least in part on a current time.

12. The computer program product of claim 8, wherein the current location of the client device is estimated based on at least one of an IP address of the client device or address information associated with the user.

13. The computer program product of claim 8, wherein at least one of the one or more responsive entries includes a name of a web-based application where the user is likely to use the entry.

14. The computer program product of claim 13, wherein ranking at the server, each of the one or more responsive entries in the personal data book further comprises:

ranking each of the at least one of the one or more responsive entries based at least in part on user browsing activity in the web-based application.