Abstract: Example embodiments described herein disclose a specially configured device to receive and recognize enhanced user interactions through a graphical user interface. A user device may accordingly receive and display a set of search results, detect a user input entered via a touch-input device related to a single item from among the set of search results, determine a pressure exerted upon the touch-input device corresponding to the user input, and based on at least the pressure of the user input, select and execute an appropriate commerce action.

Abstract: In an example embodiment, user feedback on a purchased item is received from a user. Attributes of the purchased item are identified. Then relevant attributes are determined from the attributes, the determination of relevant attributes being based on user information regarding the user. Comments for the relevant attributes are generated based on the user feedback. The comments are then displayed to the user for selection and posting.

Abstract: Example embodiments described herein disclose a specially configured device to receive and recognize enhanced user interactions through a graphical user interface. A user device may accordingly receive and display a set of search results, detect a user input entered via a touch-input device related to a single item from among the set of search results, determine a pressure exerted upon the touch-input device corresponding to the user input, and based on at least the pressure of the user input, select and execute an appropriate commerce action.

Abstract: Example embodiments described herein disclose a specially configured device to receive and recognize enhanced user interactions through a graphical user interface. A user device may accordingly receive and display a set of search results, detect a user input entered via a touch-input device related to a single item from among the set of search results, determine a pressure exerted upon the touch-input device corresponding to the user input, and based on at least the pressure of the user input, select and execute an appropriate commerce action.

Abstract: In an example embodiment, user feedback on a purchased item is received from a user. Attributes of the purchased item are identified. Then relevant attributes are determined from the attributes, the determination of relevant attributes being based on user information regarding the user. Comments for the relevant attributes are generated based on the user feedback. The comments are then displayed to the user for selection and posting.

Abstract: In an example embodiment, user feedback on a purchased item is received from a user. Attributes of the purchased item are identified. Then relevant attributes are determined from the attributes, the determination of relevant attributes being based on user information regarding the user. Comments for the relevant attributes are generated based on the user feedback. The comments are then displayed to the user for selection and posting.

Abstract: Example methods and systems directed to an Alert Manager are described. According to various embodiments, the Alert Manager detects receipt of a message. The message includes a selectable functionality for accessing an external resource and message data indicative of a source of the message. The Alert Manager predicts when a recipient of the message will interact with the selectable functionality. Prior to the recipient's predicted interaction with the selectable functionality, the Alert Manager generates a message alert feature based on a degree of a difference between the external resource and the source of the message.

Abstract: Example methods and systems directed to an Alert Manager are described. According to various embodiments, the Alert Manager detects receipt of a message. The message includes a selectable functionality for accessing an external resource and message data indicative of a source of the message. The Alert Manager predicts when a recipient of the message will interact with the selectable functionality. Prior to the recipient's predicted interaction with the selectable functionality, the Alert Manager generates a message alert feature based on a degree of a difference between the external resource and the source of the message.

Abstract: Example embodiments described herein disclose a specially configured device to receive and recognize enhanced user interactions through a graphical user interface. A user device may accordingly receive and display a set of search results, detect a user input entered via a touch-input device related to a single item from among the set of search results, determine a pressure exerted upon the touch-input device corresponding to the user input, and based on at least the pressure of the user input, select and execute an appropriate commerce action.

Abstract: Example embodiments described herein disclose a specially configured device to receive and recognize enhanced user interactions through a graphical user interface. A user device may accordingly receive and display a set of search results, detect a user input entered via a touch-input device related to a single item from among the set of search results, determine a pressure exerted upon the touch-input device corresponding to the user input, and based on at least the pressure of the user input, select and execute an appropriate commerce action.

Abstract: Example methods and systems directed to an Alert Manager are described. According to various embodiments, the Alert Manager detects receipt of a message. The message includes a selectable functionality for accessing an external resource and message data indicative of a source of the message. The Alert Manager predicts when a recipient of the message will interact with the selectable functionality. Prior to the recipient's predicted interaction with the selectable functionality, the Alert Manager generates a message alert feature based on a degree of a difference between the external resource and the source of the message.

Abstract: Example methods and systems directed to an Alert Manager are described. According to various embodiments, the Alert Manager detects receipt of a message. The message includes a selectable functionality for accessing an external resource and message data indicative of a source of the message. The Alert Manager predicts when a recipient of the message will interact with the selectable functionality. Prior to the recipient's predicted interaction with the selectable functionality, the Alert Manager generates a message alert feature based on a degree of a difference between the external resource and the source of the message.

Abstract: Example methods and systems directed to an Alert Manager are described. According to various embodiments, the Alert Manager detects receipt of a message. The message includes a selectable functionality for accessing an external resource and message data indicative of a source of the message. The Alert Manager predicts when a recipient of the message will interact with the selectable functionality. Prior to the recipient's predicted interaction with the selectable functionality, the Alert Manager generates a message alert feature based on a degree of a difference between the external resource and the source of the message.

Abstract: Example embodiments described herein disclose a specially configured device to receive and recognize enhanced user interactions through a graphical user interface. A user device may accordingly receive and display a set of search results, detect a user input entered via a touch-input device related to a single item from among the set of search results, determine a pressure exerted upon the touch-input device corresponding to the user input, and based on at least the pressure of the user input, select and execute an appropriate commerce action.

Abstract: In an example embodiment, user feedback on a purchased item is received from a user. Attributes of the purchased item are identified. Then relevant attributes are determined from the attributes, the determination of relevant attributes being based on user information regarding the user. Comments for the relevant attributes are generated based on the user feedback. The comments are then displayed to the user for selection and posting.