Electronic apparatus, method of providing guide and non-transitory computer readable recording medium
The present disclosure relates to an artificial intelligence (AI) system that utilizes a machine learning algorithm such as deep learning and the like, and an application thereof. In particular, an electronic apparatus, a guide providing method thereof, and a non-transitory computer-readable recording medium are provided. An electronic apparatus includes an input interface configured to receive a user input, a display configured to display a guide, and a processor configured to determine whether a task corresponding to the received user input is performable by the electronic apparatus, in response to determining that the task is performable, perform the task corresponding to the received user input, and in response to determining that the task is not performable, determine a candidate task related to the received user input and control the display to provide a guide for guiding the determined candidate task.
1. An electronic apparatus, comprising:
an input interface configured to receive a user input;
a display configured to display a guide; and
a processor configured to:
based on a task matching to the received user input being not performable in the electronic apparatus, search at least one candidate task which is different from the matching task and related to the received user input based on information representing a relationship between a candidate task and an entity regarding the matching task,
obtain information regarding a use environment of the electronic apparatus,
identify a candidate task corresponding to the obtained information from among the at least one searched candidate task, and
control the display to provide a guide for guiding the identified candidate task.
2. The electronic apparatus as claimed in claim 1 , wherein the processor is further configured to obtain at least one from among an intention and a parameter by analyzing the received user input and identify whether a task matched to the received user input is included in tasks which are performable in the electronic apparatus, based on the obtained at least one from among the intention and the parameter.
3. The electronic apparatus as claimed in claim 1 , wherein the processor is further configured to identify whether the task is performable according to whether a word corresponding to a task execution command is included by analyzing the received user input.
4. The electronic apparatus as claimed in claim 1 , wherein the processor is further configured to obtain at least one from among an intention and a parameter by analyzing the received user input, obtain an entity corresponding to the obtained at least one from among the intention and the parameter, and search an information for a candidate task based on the obtained entity.
5. The electronic apparatus as claimed in claim 1 , wherein the processor is further configured to remove part of the at least one searched candidate task based on a purpose of a task and an attribute of the entity.
6. The electronic apparatus as claimed in claim 5 , wherein the information regarding the use environment comprises at least one from among information regarding an application being currently executed in the electronic apparatus, information regarding a task execution history, information regarding a user's position, and information regarding a current time.
7. The electronic apparatus as claimed in claim 1 , wherein the processor is further configured to control the display to display a sentence for a user to utter to perform the identified candidate task.
8. A guide providing method of an electronic apparatus, comprising:
receiving a user input;
based on a task matching to the received user input being not performable in the electronic apparatus, searching at least one candidate task which is different from the matching task and related to the received user input based on information representing a relationship between a task and an entity regarding the matching task;
obtaining information regarding a use environment of the electronic apparatus;
identifying a candidate task corresponding to the obtained information from among the at least one searched candidate task; and
providing a guide for guiding the identified candidate task.
9. The method as claimed in claim 8 , further comprising:
obtaining at least one from among an intention and a parameter by analyzing the received user input; and
identifying whether a task matched to the received user input is included in tasks which are performable in the electronic apparatus, based on the obtained at least one from among the intention and the parameter.
10. The method as claimed in claim 8 , further comprising identifying whether the task is performable according to whether a word corresponding to a task execution command is included by analyzing the received user input.
11. The method as claimed in claim 8 , further comprising:
obtaining at least one from among an intention and a parameter by analyzing the received user input;
identifying an entity corresponding to the obtained at least one from among the intention and the parameter, and
searching an information for a candidate task based on the identified entity.
12. The method as claimed in claim 8 , further comprising:
removing part of the at least one searched candidate task based on a purpose of a task and an attribute of the entity.
13. The method as claimed in claim 8 , wherein the information regarding the use environment comprises at least one from among information regarding an application being currently executed in the electronic apparatus, information regarding a task execution history, information regarding a user's position, and information regarding a current time.
14. The method as claimed in claim 8 , wherein the providing a guide comprises providing a sentence for a user to utter to perform the identified candidate task.
15. A non-transitory computer readable recording medium including a program for executing a guide providing method of an electronic apparatus, wherein the guide providing method comprises:
receiving a user input;
based on a task matching to the received user input being not performable in the electronic apparatus, searching at least one candidate task which is different from the matching task and related to the received user input based on information representing a relationship between a task and an entity regarding the matching task;
obtaining information regarding a use environment of the electronic apparatus;
identifying a candidate task corresponding to the obtained information from among the at least one searched candidate task; and
providing a guide for guiding the identified candidate task.
16. An intelligent secretary electronic apparatus using a neural network model, the apparatus comprising:
an input interface configured to receive a user input;
a display; and
a processor configured to:
based on an operation matching to the received user input being not performable in the electronic apparatus, search at least one candidate operation which is different from the matching operation and associated with the received user input based on information representing a relationship between a candidate operation and an entity regarding the matching operation,
obtain information regarding a use environment of the electronic apparatus,
identify a candidate operation corresponding to the obtained information from among the at least one searched candidate operation, and
control the display to provide a guide that guides the identified candidate operation.
17. The intelligent secretary electronic apparatus as claimed in claim 16 , wherein the user input is a user voice, and
wherein the processor is configured to perform a voice recognition with respect to the user voice by using an artificial intelligence neural network.
18. The intelligent secretary electronic apparatus as claimed in claim 16 , wherein the processor is configured to obtain at least one from among an intention and a parameter by analyzing the received user input, identify an entity corresponding to the obtained intention and parameter, and search a candidate operation in an information based on the identified entity.