RESOURCE-BASED AUTO COMPLETION

• US 20170316484A1
• Filed: 04/29/2016
• Published: 11/02/2017
• Est. Priority Date: 04/29/2016
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Holmes, William Hart, Joshi, Neel, Tischhauser, Paul David, Jain, Chandresh K., Persett, Tor-Helge, Trivedi, Anant
• Application Number:
  US15/143,225
• Publication Number:
  US 20170316484A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06F 40/174 Form filling; Merging
• CPC Class Codes: G06F 40/274 Converting codes to words; Guess-ahead of partial word inputs
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/1097 Task assignment
• CPC Class Codes: G06Q 30/0627 using item specifications
• CPC Class Codes: G06Q 30/0641 Shopping interfaces

Abstract

Techniques described herein provide resource-based auto completion for data entry fields of a graphical user interface. In some configurations, the techniques disclosed herein utilize input data and contextual data from a number of resources to select and display text entry candidates for assisting users in populating one or more data entry fields. For example, the input data can include an indication of a service category or a topic and other data defining a calendar event. The contextual data can be related to service providers and customers including, data defining a prior work history between two or more entities, commute projections, scheduling conflicts, preferences, and other data, such as traffic data and weather data. Data indicating a lifetime value of a customer or provider can also be utilized to select text entry candidates.

Claims

1. A computer-implemented method comprising:

receiving input data at one or more graphical elements of a graphical user interface;

obtaining contextual data defining at least one of workload data and work history data associated with a plurality of providers;

generating data defining a level of eligibility for individual providers of the plurality of providers, wherein the level of eligibility is based, at least in part, on the contextual data defining at least one of workload data and work history data;

generating a ranked list of the plurality of providers in response to receiving the input data, wherein the individual providers of the plurality of providers are ranked based, at least in part, on the level of eligibility associated with individual providers;

causing a display of the ranked list on the graphical user interface;

receiving a selection of the individual provider; and

populating a data entry field with metadata associated with the individual provider in response to receiving the selection of the individual provider.

2. The method of claim 1, wherein the work history data defines one or more performance indicators pertaining to the plurality of providers, and wherein the individual provider is ranked based, at least in part, on the one or more performance indicators pertaining to the individual provider.

3. The method of claim 1, wherein the workload data defines a value indicating an ability of the individual provider relative to a predetermined workload capacity, and wherein the individual provider is ranked based, at least in part, on the value indicating the ability of the individual provider relative to the predetermined workload capacity.

4. The method of claim 1, wherein the contextual data defines a location pertaining to the individual provider, and wherein the individual provider is ranked based, at least in part, on the location pertaining to the individual provider.

5. The method of claim 4, wherein the method further comprises generating data indicating a probability of a successful commute associated with the individual provider, the probability based, at least in part, on the location pertaining to the individual provider, and wherein the individual provider is ranked based, at least in part, on the probability.

6. The method of claim 5, wherein the method further comprises obtaining map data, traffic data or weather data, and wherein the probability is based, at least in part, on the map data, traffic data or the weather data.

7. The method of claim 1, wherein the method further comprises:

obtaining scheduling data associated with the individual provider; and

analyzing the scheduling data to generate data defining a severity of a scheduling conflict, and wherein the individual provider is ranked based, at least in part, on the data defining the severity of the scheduling conflict.

8. The method of claim 1, wherein the method further comprises:

obtaining preference data; and

analyzing the preference data to a degree of alignment between the preference data and at least one of the workload data or the work history data, and wherein the individual provider is ranked based, at least in part, on the degree of alignment.

9. The method of claim 1, wherein the metadata comprises contact information associated with the individual provider.

10. A system, comprising:

a processor; and

a memory in communication with the processor, the memory having computer-readable instructions stored thereupon that, when executed by the processor, cause the processor to perform a method comprising receiving input data indicating a subject matter;

obtaining contextual data related to the subject matter, wherein the contextual data defines at least one of scheduling data, workload data, or work history data associated with a plurality of providers;

generating data defining a level of eligibility for individual providers of the plurality of providers, wherein the level of eligibility is based, at least in part, on the contextual data;

generating a ranked list of the plurality of providers in response to receiving the input data, wherein the individual providers of the plurality of providers are ranked based, at least in part, on the level of eligibility associated with individual providers;

causing a display of the ranked list on the graphical user interface;

receiving a selection of the individual provider; and

populating a data entry field with metadata associated with the individual provider in response to the selection of the individual provider.

11. The system of claim 10, wherein the work history data defines one or more performance indicators pertaining to the plurality of providers, and wherein the individual provider is ranked based, at least in part, on the one or more performance indicators pertaining to the individual provider.

12. The system of claim 10, wherein the workload data defines a value indicating an ability of the individual provider relative to a predetermined workload capacity, and wherein the individual provider is ranked based, at least in part, on the value indicating the ability of the individual provider relative to the predetermined workload capacity.

13. The system of claim 10, wherein the contextual data defines a location pertaining to the individual provider, and wherein the individual provider is ranked based, at least in part, on the location pertaining to the individual provider.

14. The system of claim 13, wherein the instructions cause the processor to perform the method comprising generating data indicating a probability of a successful commute associated with the individual provider, the probability based, at least in part, on the location pertaining to the individual provider, and wherein the individual provider is ranked based, at least in part, on the probability.

15. The system of claim 14, wherein the instructions cause the processor to perform the method comprising obtaining map data, traffic data or weather data, and wherein the probability is based, at least in part, on the map data, traffic data or the weather data.

16. The system of claim 10, wherein the instructions cause the processor to perform the method comprising:

obtaining scheduling data associated with the individual provider; and

analyzing the scheduling data to generate data defining a severity of a scheduling conflict, and wherein the individual provider is ranked based, at least in part, on the data defining the severity of the scheduling conflict.

17. The system of claim 10, wherein the instructions cause the processor to perform the method comprising:

obtaining preference data; and

analyzing the preference data to a degree of alignment between the preference data and at least one of the workload data or the work history data, and wherein the individual provider is ranked based, at least in part, on the degree of alignment.

18. One or more computer-readable storage media storing instructions that, when executed by one or more processors of a computing device, perform operations comprising:

receiving input data at one or more graphical elements of a graphical user interface;

obtaining metadata associated with a plurality of providers;

obtaining contextual data associated with individual providers of the plurality of providers;

generating data defining a level of eligibility for the individual providers of the plurality of providers, wherein the level of eligibility is based, at least in part, on the contextual data;

generating a ranked list of the plurality of providers in response to receiving the input data, wherein the individual providers of the plurality of providers are ranked based, at least in part, on the level of eligibility associated with individual providers;

causing a display of the ranked list on the graphical user interface;

receiving a selection of the individual provider; and

populating a data entry field with a portion of the metadata associated with the individual provider in response to the selection of the individual provider.

19. The computer-readable storage media of claim 18, wherein the work history data defines one or more performance indicators pertaining to the plurality of providers, and wherein the individual provider is ranked based, at least in part, on the one or more performance indicators pertaining to the individual provider.

20. The computer-readable storage media of claim 19, wherein the workload data defines a value indicating an ability of the individual provider relative to a predetermined workload capacity, and wherein the individual provider is ranked based, at least in part, on the value indicating the ability of the individual provider relative to the predetermined workload capacity.