US 10,853,100 B1Granted

Systems and methods for creating learning-based personalized user interfaces

AssigneeCadence Design Systems, Inc.

InventorsSonam Kathpalia, Mehakpreet Kaur, Sameer Chakravarthy Chillarige, Krishna Vijaya Chakravadhanula

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Abstract

Systems and methods for creating learning-based personalized user interfaces for software applications are described. Exemplary embodiments provide for collecting usage data and applying machine learning techniques to identify and prioritize certain commands and options in the personalized user interface. The usage data can include Usage patterns, usage sequences, and the usage of certain commands and options in connection with, or following, certain other commands and options may also be identified, and the personalization-based prioritization can include, for example, the contents, position, and quantities of the commands and options within the interface.

Claims20

Dependent claims

A system for generating a personalized user interface, the system comprising:

a memory comprising machine-readable instructions, the machine-readable instructions comprising a software application having a user interface, and a personalization software tool programmed to monitor usage of the software application by a user, the user interface comprising a plurality of elements;
and
a processor configured to access and execute the machine-readable instructions, the personalization software tool being programmed to:
(a) collect user usage information relating to the use of the software application by the user, the user usage information comprising one or more parameters, each parameter characterizing at least one of frequency of use of each of the plurality of elements, a pattern of usage of each the plurality of elements, and a relation of usage of each element to other elements of the plurality of elements;
(b) identify categories of the plurality of elements, wherein each of the one or more elements of the plurality of elements are assigned to a respective category;
(c) select a first category and identify each element of the selected category among the plurality of elements;
(d) assign a weight to the one or more parameters for each element of the selected category among the plurality of elements;
(e) rank each of the one or more elements of the plurality of elements of the user interface within its assigned category based on the one or more parameters and respectively assigned weight;
(f) identify a first subset of the selected category corresponding to top-ranked elements among the plurality of elements in response to ranking of each of the plurality of elements;
(g) display the top-ranked elements of the plurality of elements on the user interface according to the ranking based on the one or more parameters;
(h) re-rank a second subset of the selected category corresponding to remaining elements of the selected category based on global user usage information relating to the use of the software application by a plurality of users, the global user usage information characterizing a usage of each of the second subset of the selected category by the user on the user interface;
(i) display the remaining elements of the selected category on the user interface according to the re-ranking based on the global user usage information;
(j) after displaying all elements of the selected category, determine whether other categories of elements that have not been selected remain;
(k) repeat steps (a) to (i) when the other categories of elements that have not been selected remain;
and
(l) after displaying all elements of the other categories of elements, report personalized information for all categories to all available user interfaces.

13 more elements

A method for generating a personalized user interface, the method comprising:

(a) monitoring a software application being used by a user to collect user usage information relating to a use of the software application that includes a user interface comprising a plurality of elements, the user usage information comprising one or more parameters, each parameter characterizing at least one of frequency of use of each of the plurality of elements, a pattern of usage of each the plurality of elements, and a relation of usage of each element to other elements of the plurality of elements;
(b) identifying categories of the plurality of elements, wherein each of the one or more elements of the plurality of elements are assigned to a respective category;
(c) selecting a first category and identifying each element of the selected category among the plurality of elements;
(d) assigning a weight to the one or more parameters for each element of the selected category among the plurality of elements;
(e) ranking each of the one or more elements of the plurality of elements of the user interface within its assigned category based on the one or more parameters and respectively assigned weight to identify a first subset of the selected category corresponding to top-ranked elements among the plurality of elements;
(f) displaying the top-ranked elements of the plurality of elements on the user interface according to the ranking based on the one or more parameters;
(g) re-ranking a second subset of the selected category corresponding to remaining elements of the selected category based on global user usage information relating to the use of the software application by a plurality of users, the global user usage information characterizing a usage of each of the second subset of the selected category by the user on the user interface;
(h) displaying the non-top ranked elements of the plurality of elements on the user interface according to the re-ranking based on the global user usage information;
(i) determining whether other categories of elements that have not been selected remain in response to displaying all elements of the selected category;
(j) repeating steps (a) to (h) when the other categories of elements that have not been selected remain;
and
(k) reporting personalized information for all categories to all available user interfaces in response to displaying all elements of the other categories of elements.

9 more elements

Dependencies are inferred from the claim text.