Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for automatically determining the functionality and capabilities of electronic components. Some embodiments operate by transmitting a command to the display device in question (sometimes called the device under test—DUT—herein) and monitoring the device. Then, it is determined whether an action by the display device was one of a set of proper responses to the command. If the action was proper, then it is determined that the display device supports the command set associated with the command. The command set may be the Consumer Electronics Control (CEC) set, although this disclosure is not limited to that example.

Systems and methods for automatically determining a content item size may be based on a size of a viewport and a width of a parent element. A script may be configured to determine a size of a viewport, determine a width of a parent element of a resource, and determine a content item size based, at least in part, on the size of the view port and the width of the parent element. A dimension of the determined content item size may be used by a content item selection system to determine a set of content items. A content item selection system may select a content item from the determined set of content items and serve data to effect display of the selected content item in the parent element with the resource.

Systems and methods for automatically determining a content item size may be based on a size of a viewport and a width of a parent element. A script may be configured to determine a size of a viewport, determine a width of a parent element of a resource, and determine a content item size based, at least in part, on the size of the view port and the width of the parent element. A dimension of the determined content item size may be used by a content item selection system to determine a set of content items. A content item selection system may select a content item from the determined set of content items and serve data to effect display of the selected content item in the parent element with the resource.

Systems and methods for automatically determining a content item size may be based on a size of a viewport and a width of a parent element. A script may be configured to determine a size of a viewport, determine a width of a parent element of a resource, and determine a content item size based, at least in part, on the size of the view port and the width of the parent element. A dimension of the determined content item size may be used by a content item selection system to determine a set of content items. A content item selection system may select a content item from the determined set of content items and serve data to effect display of the selected content item in the parent element with the resource.

Systems and methods for automatically determining a content item size may be based on a size of a viewport and a width of a parent element. A script may be configured to determine a size of a viewport, determine a width of a parent element of a resource, and determine a content item size based, at least in part, on the size of the view port and the width of the parent element. A dimension of the determined content item size may be used by a content item selection system to determine a set of content items. A content item selection system may select a content item from the determined set of content items and serve data to effect display of the selected content item in the parent element with the resource.

A method for providing a dynamic loupe in a window of an electronic device. The method includes displaying a document in the window of the electronic device, displaying, using at least dimensions associated with a first sub-region of the document being displayed, the dynamic loupe for the first sub-region, receiving an instruction to associate the dynamic loupe with a second sub-region of the document being displayed, determining one or more dimensions of the second sub-region, and displaying, using at least the identified one or more dimensions, the dynamic loupe for the second sub-region.

A method for providing a dynamic loupe in a window of an electronic device. The method includes displaying a document in the window of the electronic device, displaying, using at least dimensions associated with a first sub-region of the document being displayed, the dynamic loupe for the first sub-region, receiving an instruction to associate the dynamic loupe with a second sub-region of the document being displayed, determining one or more dimensions of the second sub-region, and displaying, using at least the identified one or more dimensions, the dynamic loupe for the second sub-region.

Determining whether a proposed message contextually fits a messaging session. A method obtains a proposed message to be sent in a messaging session between users of a messaging service. The method identifies a context of the proposed message. The method determines whether the proposed message contextually fits the messaging session based on characteristics of an expected response to the proposed message, the characteristics of the expected response being based on patterns of communication between the users. The method also performs processing based on whether the proposed message contextually fits the messaging session.

A computer-implemented method for matching user inputted text to stored text. The user inputted text is compared to each of the text strings stored in a database using a string similarity score determined using a Levenshtein distance algorithm, the n-gram or trigram methods, the Jaro-Winkler algorithm, the Cosine similarity algorithm, the Hamming distance algorithm, the Damerau-Levenshtein distance algorithm, or similar. For each comparison, the string similarity score is analyzed to determine exact matches, non-matches, and probable matches. Probable matches are further analyzed using a keyboard distance algorithm to differentiate between matches and non-matches.

A computer-implemented method for matching user inputted text to stored text. The user inputted text is compared to each of the text strings stored in a database using a string similarity score determined using a Levenshtein distance algorithm, the n-gram or trigram methods, the Jaro-Winkler algorithm, the Cosine similarity algorithm, the Hamming distance algorithm, the Damerau-Levenshtein distance algorithm, or similar. For each comparison, the string similarity score is analyzed to determine exact matches, non-matches, and probable matches. Probable matches are further analyzed using a keyboard distance algorithm to differentiate between matches and non-matches.