Abstract: Various technologies relating to constructing an answer to a query are described herein, wherein the answer is in list form. The answer includes a header and a list element. A deep model receives content of a webpage that is deemed relevant to the query by a search engine and constructs the answer to the webpage upon receipt of the query.

Abstract: Disclosed is a radar antenna including an antenna body including a first plate and a second plate; a slot radiation part and a slot reception part formed in the first plate; a transmission port and a reception port formed in the second plate; and a waveguide formed by assembling the first and second plates. The slot radiation part includes a first slot radiation part configured to radiate a radio wave in a first detection range, and a second slot radiation part configured to radiate radio waves in a second detection range having a larger width and distance than the first detection range.

Abstract: Various technologies relating to constructing an answer to a query are described herein, wherein the answer is in list form. The answer includes a header and a list element. A deep model receives content of a webpage that is deemed relevant to the query by a search engine and constructs the answer to the webpage upon receipt of the query.

Abstract: An artificial intelligence system and method are disclosed herein. The system includes a processor which implements the method, including: receiving by an input unit a first user input including a request to execute a task using at least one of the electronic device or an external device, transmitting by a wireless communication unit first data associated with the first user input to an external server, receiving a first response from the external server including information associated with at least one of the first user input and a sequence of electronic device states for performing at least a portion of the task, receiving a second user input assigning at least one of a voice command and a touch operation received by a touch screen display as the request to perform the task, and transmitting second data associated with the second user input to the external server.

Abstract: Various technologies relating to constructing an answer to a query are described herein, wherein the answer is in list form. The answer includes a header and a list element. A deep model receives content of a webpage that is deemed relevant to the query by a search engine and constructs the answer to the webpage upon receipt of the query.

Abstract: Various technologies relating to constructing an answer to a query are described herein, wherein the answer is in list form. The answer includes a header and a list element. A deep model receives content of a webpage that is deemed relevant to the query by a search engine and constructs the answer to the webpage upon receipt of the query.

Abstract: An artificial intelligence system and method are disclosed herein. The system includes a processor which implements the method, including: receiving by an input unit a first user input including a request to execute a task using at least one of the electronic device or an external device, transmitting by a wireless communication unit first data associated with the first user input to an external server, receiving a first response from the external server including information associated with at least one of the first user input and a sequence of electronic device states for performing at least a portion of the task, receiving a second user input assigning at least one of a voice command and a touch operation received by a touch screen display as the request to perform the task, and transmitting second data associated with the second user input to the external server.

Abstract: An artificial intelligence system and method are disclosed herein. The system includes a processor which implements the method, including: receiving by an input unit a first user input including a request to execute a task using at least one of the electronic device or an external device, transmitting by a wireless communication unit first data associated with the first user input to an external server, receiving a first response from the external server including information associated with at least one of the first user input and a sequence of electronic device states for performing at least a portion of the task, receiving a second user input assigning at least one of a voice command and a touch operation received by a touch screen display as the request to perform the task, and transmitting second data associated with the second user input to the external server.

Abstract: Various technologies relating to constructing an answer to a query are described herein, wherein the answer is in list form. The answer includes a header and a list element. A deep model receives content of a webpage that is deemed relevant to the query by a search engine and constructs the answer to the webpage upon receipt of the query.

Abstract: An artificial intelligence system and method are disclosed herein. The system includes a processor which implements the method, including: receiving by an input unit a first user input including a request to execute a task using at least one of the electronic device or an external device, transmitting by a wireless communication unit first data associated with the first user input to an external server, receiving a first response from the external server including information associated with at least one of the first user input and a sequence of electronic device states for performing at least a portion of the task, receiving a second user input assigning at least one of a voice command and a touch operation received by a touch screen display as the request to perform the task, and transmitting second data associated with the second user input to the external server.

Abstract: An artificial intelligence system and method are disclosed herein. The system includes a processor which implements the method, including: receiving by an input unit a first user input including a request to execute a task using at least one of the electronic device or an external device, transmitting by a wireless communication unit first data associated with the first user input to an external server, receiving a first response from the external server including information associated with at least one of the first user input and a sequence of electronic device states for performing at least a portion of the task, receiving a second user input assigning at least one of a voice command and a touch operation received by a touch screen display as the request to perform the task, and transmitting second data associated with the second user input to the external server.

Abstract: An artificial intelligence system and method are disclosed herein. The system includes a processor which implements the method, including: receiving by an input unit a first user input including a request to execute a task using at least one of the electronic device or an external device, transmitting by a wireless communication unit first data associated with the first user input to an external server, receiving a first response from the external server including information associated with at least one of the first user input and a sequence of electronic device states for performing at least a portion of the task, receiving a second user input assigning at least one of a voice command and a touch operation received by a touch screen display as the request to perform the task, and transmitting second data associated with the second user input to the external server.

Abstract: An artificial intelligence system and method are disclosed herein. The system includes a processor which implements the method, including: receiving by an input unit a first user input including a request to execute a task using at least one of the electronic device or an external device, transmitting by a wireless communication unit first data associated with the first user input to an external server, receiving a first response from the external server including information associated with at least one of the first user input and a sequence of electronic device states for performing at least a portion of the task, receiving a second user input assigning at least one of a voice command and a touch operation received by a touch screen display as the request to perform the task, and transmitting second data associated with the second user input to the external server.

Abstract: An artificial intelligence system and method are disclosed herein. The system includes a processor which implements the method, including: receiving by an input unit a first user input including a request to execute a task using at least one of the electronic device or an external device, transmitting by a wireless communication unit first data associated with the first user input to an external server, receiving a first response from the external server including information associated with at least one of the first user input and a sequence of electronic device states for performing at least a portion of the task, receiving a second user input assigning at least one of a voice command and a touch operation received by a touch screen display as the request to perform the task, and transmitting second data associated with the second user input to the external server.

Abstract: The author ranking technique described herein is a technique to rank authors in social media systems along various dimensions, using a variety of statistical methods for utilizing those dimensions. More particularly, the technique ranks authors in social media systems through a combination of statistical techniques that leverage usage metrics, and social and topical graph characteristics. In various exemplary embodiments, the technique can rank author authority by the following: 1) temporal analysis of link sharing in which authority is computed based on a user's propensity to provide early links to web pages that subsequently become popular; 2) topical authority based on the author's links and content updates in specific topic areas; and 3) popularity and influence based on nodal properties of authors.

Abstract: Systems, methods, and computer-readable storage media for detecting shifts in intent for search queries are provided. The system includes databases and servers. The databases store search logs and entity mappings. The servers merge the entity mappings with search logs, identify shifts in intent for recurring queries in the search log, identify intents for new queries in the search log, and updates mappings between an entity and a query based on the shifted intents. The server may provide client devices that display a search box where queries are entered. The search box may include an autosuggest area that is updated to include spiking entities or spiking queries.

Abstract: The author ranking technique described herein is a technique to rank authors in social media systems along various dimensions, using a variety of statistical methods for utilizing those dimensions. More particularly, the technique ranks authors in social media systems through a combination of statistical techniques that leverage usage metrics, and social and topical graph characteristics. In various exemplary embodiments, the technique can rank author authority by the following: 1) temporal analysis of link sharing in which authority is computed based on a user's propensity to provide early links to web pages that subsequently become popular; 2) topical authority based on the author's links and content updates in specific topic areas; and 3) popularity and influence based on nodal properties of authors.

Abstract: Techniques to assign a ranking value to objects in a database such as a collection of cross referencing documents, the World-Wide Web or a hyperlinked database are described. The ranking value assigned to a given data object represents a cross-cluster strength metric and is a function of the object's importance across all groups or clusters in which the object is classified. The cross-cluster strength metric may be particularly beneficial in enhancing the performance of web-based search engines because it emphasizes the importance of objects that appear in multiple groups while de-emphasizing the importance of objects that, while highly linked within one or a few groups, are relatively unlinked to objects in other groups.

Abstract: Techniques to assign a ranking value to objects in a database such as a collection of cross referencing documents, the World-Wide Web or a hyperlinked database are described. The ranking value assigned to a given data object represents a cross-cluster strength metric and is a function of the object's importance across all groups or clusters in which the object is classified. The cross-cluster strength metric may be particularly beneficial in enhancing the performance of web-based search engines because it emphasizes the importance of objects that appear in multiple groups while de-emphasizing the importance of objects that, while highly linked within one or a few groups, are relatively unlinked to objects in other groups.

Abstract: Techniques to assign a ranking value to objects in a database such as a collection of cross referencing documents, the World-Wide Web or a hyperlinked database are described. The ranking value assigned to a given data object represents a cross-cluster strength metric and is a function of the object's importance across all groups or clusters in which the object is classified. The cross-cluster strength metric may be particularly beneficial in enhancing the performance of web-based search engines because it emphasizes the importance of objects that appear in multiple groups while de-emphasizing the importance of objects that, while highly linked within one or a few groups, are relatively unlinked to objects in other groups.