Form value prediction utilizing synonymous field recognition

Patent metadata

Field	Value
Publication number	US-10133813-B2
Application number	US-201514824939-A
Country	US
Kind code	B2
Filing date	Aug 12, 2015
Priority date	Aug 12, 2015
Publication date	Nov 20, 2018
Grant date	Nov 20, 2018

Abstract

Embodiments of the present invention provide systems, methods, and computer storage media directed at predicting values for an electronic form. In embodiments, the method can include forming synonym groupings of form field labels for a number of users. The synonym groupings can be based on an analysis of the similarity of form field values that are associated with form field labels. In embodiments a predictive model may be generated from these synonym groupings. The predictive model can correlate the synonym groupings of one user with synonym groupings of one or more additional users to enable a determination of one or more predicted form field values for the one user based on a queried form field label even though the one user may have never submitted an electronic form with the queried form field label. Other embodiments may be described and/or claimed.

First claim

What is claimed is:

1. One or more non-transitory computer-readable media having instructions embodied thereon, wherein the instructions, when executed by one or more processors of a computing device, enable the computing device to automatically update electronic forms to include predicted values, by causing the one or more processors to:
receive a first form field profile associated with a first user and a plurality of additional form field profiles associated with a plurality of additional users, wherein the first user is a user of the computing device;
generate a predictive model based on the first form field profile and the plurality of additional form field profiles, wherein the predictive model enables determination of a plurality of predicted form field values based on a plurality of correlations within at least the plurality of additional form field profiles;
receive a form field label associated with an electronic form being completed by the first user in response to determining that the received form field label is absent from the first form field profile associated with the first user, employ the predictive model to identify a first correlation of the plurality of correlations, wherein the first correlation correlates the received form field label with one or more synonymous form field labels within the plurality of additional form field profiles;
determine a first predicted form field value, of the plurality of predicted form field values and for the received form field label, based on the identified first correlation and the first form field profile associated with the first user; and
automatically update the electronic form, such that the updated electronic form includes and associates the first predicted form field value with the received form field label.

2. The one or more computer-readable media of claim 1 , wherein the plurality of correlations include correlations of first synonym groupings of the first user with one or more additional synonym groupings of the plurality of additional users.

3. The one or more computer-readable media of claim 1 , wherein determination of the first predicted form field value for the received form field label includes determining at least a portion of the plurality of predicted form field values, providing the portion of the plurality of predicted form field values to the first user, and enabling the first user to select the first predicted form field value from the portion of the plurality of predicted form field values.

4. The one or more computer-readable media of claim 3 , wherein an order of the plurality of predicted form field values is based on a confidence level associated with each of the plurality of predicted form field values.

5. The one or more computer-readable media of claim 3 , wherein an order of the plurality of predicted form field values is based on one or more other form field values of a form being completed by the first user.

6. The one or more computer-readable media of claim 3 , wherein an order of the plurality of predicted form field values is based on a confidence level associated with each of the plurality of predicted form field values, and the confidence level is based on a measure of a number of synonymous form field labels that are associated with each of the plurality of predicted form field values.

7. A computer-implemented method of automatically updating an electronic form to include predicted values comprising:
receiving a first form field profile associated with a first user and a plurality of additional form field profiles associated with a plurality of additional users;
forming first synonym groups of first form field labels for the first user based on an analysis of similarity of first form field values that are associated with the first form field labels, wherein the first form field values are included in the first form field profile associated with the first user;
generating a predictive model based on the first form field profile and the plurality of additional form field profiles, wherein the predictive model correlates the first synonym groupings with one or more additional synonym groupings, wherein the additional synonym groupings are based on one or more additional form field labels that are included in the plurality of additional form field profiles associated with the plurality of additional users, and the correlating is based, at least in part, on the first form field labels, the additional form field labels, and the one or more additional synonym groupings;
in response to determining that a queried form field label of the electronic form is absent from the first form field labels, employ the predictive model to determine one or more predicted form field values for the first user, wherein the queried form field label is included in the one or more additional form field labels; and
automatically updating the electronic form, such that the updated electronic form includes and associates the one or more predicted form field values with the queried form field label.

8. The method of claim 7 , wherein forming the first synonym groupings of the first form field labels comprises:
generating a first graph that includes label nodes for each of the first form field labels, value nodes for each of the first form field values, and edges connecting the label nodes with respective value nodes; and
combining value nodes of the first graph that are within a level of similarity from one another into a single node.

9. The method of claim 7 , wherein correlating the first synonym groupings with the one or more additional synonym groupings comprises incorporating the first synonym groupings and the one or more additional synonym groupings into a global graph.

10. The method of claim 7 , wherein generating the predictive model comprises performing a PageRank process to determine a similarity between the first form field labels and the additional form field labels.

11. The method of claim 7 , wherein forming the first synonym groupings of the first form field labels further comprises normalizing the first form field labels.

12. The method of claim 7 , wherein forming the first synonym groupings of the first form field labels further comprises deduplicating the first form field labels.

13. The method of claim 7 , further comprising:
obfuscating the first form field values in a manner specific to the first user.

14. The method of claim 13 , wherein obfuscating the first form field values includes encryption of the first form field values utilizing an encryption key specific to the first user.

15. The method of claim 13 , wherein obfuscating the first form field values includes hashing of the first form field values utilizing a seed specific to the first user.

16. The method of claim 7 , further comprising:
obfuscating the first form field labels in a user independent manner, wherein the additional form field labels are obfuscated in the same manner such that the obfuscated first form field labels and the obfuscated additional form field labels are capable of comparison against one another based on similarity.

17. A computing system for automatically updating electronic forms to include predicted values comprising:
one or more processors;
a computer-readable storage medium, coupled with the one or more processors, having instructions stored thereon, which, when executed by the one or more processors, perform actions comprising:
receiving a first form field profile associated with a first user and a plurality of additional form field profiles associated with a plurality of additional users, w

Assignees

• Adobe Systems Inc

Inventors

• Gaither Shawn Alan
• Stroh Eylon
• Mathur Priyank
• Swineford Randy

Classifications

• G06F40/247

  Thesauruses; Synonyms · CPC title

• G06F16/335 Primary

  Filtering based on additional data, e.g. user or group profiles (filtering in web context G06F16/9535, G06F16/9536) · CPC title

• G06F17/2795

  Physics · mapped topic

• G06F17/30699 Primary

  Physics · mapped topic