Abstract:
Methods and apparatus related to providing user-guided term suggestions. Some implementations may be directed to identifying user input that includes at least one term and identifying a user-initiated activity near the term. An edit term may be identified based on the user-initiated activity near the term, an edit position in the edit term may be identified, and one or more candidate terms may be identified based on the edit term. Similarity measures for the candidate terms may be determined. The similarity measure of a given candidate term of the candidate terms may be based on the edit position. One or more of the candidate terms may be selected as suggested terms based on the similarity measures and the selected suggested terms provided for potential replacement of the edit term.
Abstract:
Systems and methods for recommending an outdoor activity geographic location are provided. In some aspects, multiple data items that are associated with a recurring time period and a destination geographic location are selected from one or more data repositories. That an outdoor activity for the user is available in the destination geographic location during the recurring time period is determined using information in the selected multiple data items and at least one characteristic of a user of a client computing device. An indication that the outdoor activity is available in the destination geographic location is provided to the client computing device.
Abstract:
Systems and methods are described herein for comparing products in a marketplace. An image or video of the products may be captured using a camera associated with a mobile device. User input may be received to select two or more products within the image. Machine vision techniques may be applied to specifically identify the selected products. Product features associated with each of the identified products may be retrieved and formatted into a comparison of product features. The comparison may be presented to the user.
Abstract:
Techniques for summarizing media are described. A viewer-interaction analyzer receives a media file containing media, the media file including a plurality of segments. A segment of the media file is scored based on interactions of a set of raters. Viewer metrics on the segment of the media file are measured based on interactions with the segment of the media file by a set of viewers. A set of feature vectors are formed based on the measured viewer interactions, where feature vectors in the set of feature vectors are based on interactions of the set of viewers. A model is trained based on the set of feature vectors and the score assigned to the segment of the media file. The model is applied to segments of the media file to generate an interest rating for segments of the media file. An edited media file is generated based on segments of the media file having interest ratings that meet a criterion. The Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.
Abstract:
A system and method for suggesting alternative travel destinations is disclosed. In one embodiment, the method may generally include receiving, at a computing device, a query from a client device associated with a requested travel destination. The requested travel destination may be at a first geographic location. The method may also include analyzing travel pattern data for at least one user that previously requested travel directions to the requested travel destination to identify at least one second geographic location that is associated with the requested travel destination. The travel pattern data may include information associated with a location of the at least one user after requesting the travel directions. In addition, the method may include transmitting to the client device a suggestion for at least one alternative travel destination based on the at least one second geographic location.
Abstract:
In general, this disclosure is directed to techniques for generating, by a computing device, at approximately a time that a user is eating, at least one computer-generated indication. Based at least in part on the at least one computer-generated indication and pre-defined activity data that are indicative of a human consuming an ingestible substance, the computing device determines whether the user is currently consuming an ingestible substance. Responsive to determining that the user is currently consuming the ingestible substance, the computing device outputs a reminder to consume at least one particular ingestible substance, such as a medication.
Abstract:
Methods and apparatus related to providing user-guided term suggestions. Some implementations may be directed to identifying user input that includes at least one term and identifying a user-initiated activity near the term. An edit term may be identified based on the user-initiated activity near the term, an edit position in the edit term may be identified, and one or more candidate terms may be identified based on the edit term. Similarity measures for the candidate terms may be determined. The similarity measure of a given candidate term of the candidate terms may be based on the edit position. One or more of the candidate terms may be selected as suggested terms based on the similarity measures and the selected suggested terms provided for potential replacement of the edit term.
Abstract:
A content management computing device for managing voice-interactive online content includes a memory for storing data and a processor in communication with the memory. The processor is programmed to retrieve an online content item including content metadata, identify at least one voice interaction associated with the content metadata, serve the online content item to a user computing device, wherein serving the online content item further comprises instructing the user computing device to collect voice response data that is responsive to at least one voice interaction, receive the voice response data from the user computing device, identify a user request based on the voice response data, and transmit a response, based on the user request, to a user account.
Abstract:
Methods and apparatus related to providing user-guided term suggestions. Some implementations may be directed to identifying user input that includes at least one term and identifying a user-initiated activity near the term. An edit term may be identified based on the user-initiated activity near the term, an edit position in the edit term may be identified, and one or more candidate terms may be identified based on the edit term. Similarity measures for the candidate terms may be determined. The similarity measure of a given candidate term of the candidate terms may be based on the edit position. One or more of the candidate terms may be selected as suggested terms based on the similarity measures and the selected suggested terms provided for potential replacement of the edit term.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying a query for selected content. In one aspect, a method includes receiving gesture data specifying a user gesture interacting with a portion of displayed content. A subset of the content is identified based on the gesture data. A set of candidate search queries is identified based on the subset of the content. A likelihood score is determined for each candidate search query. The likelihood score for a candidate search query indicates a likelihood that the candidate search query is an intended search query specified by the user gesture. The likelihood score for each candidate search query is adjusted using a normalization factor. The normalization factor can be based on a number of characters included in the candidate search query. One or more of the candidate search queries are selected based on the adjusted likelihood scores.