Patent application number | Description | Published |
20120254806 | SYSTEM AND METHOD FOR DYNAMIC, FEATURE-BASED PLAYLIST GENERATION - Methods and systems for generating playlists of media items with audio data are disclosed. Based on two received feature sets, media items corresponding to each feature set are identified. Transition characteristics are also received. Based on the identified media items and transition characteristics, a dynamic playlist is generated that transitions from media items having characteristics of the first feature set to media items having characteristics of the second feature set. Each time the playlist is generated, it may include a different set of media items. | 10-04-2012 |
20130346347 | Method to Predict a Communicative Action that is Most Likely to be Executed Given a Context - Disclosed are apparatus and methods for providing machine-learning services. A context-identification system executing on a mobile platform can receive data comprising context-related data associated with the mobile platform and application-related data received from the mobile platform. The context-identification system can identify a context using the context-related data associated with the mobile platform and/or the application-related data received from the mobile platform. Based on at least one context identified, context-identification system can predict a communicative action associated with the mobile platform by performing a machine-learning operation on the received data. An instruction can be received to execute the communicative action associated with the mobile platform. | 12-26-2013 |
20140085220 | DETERMINING A DOMINANT HAND OF A USER OF A COMPUTING DEVICE - In one example, a method includes determining, by a computing device, a plurality of features. Each feature from the plurality of features may be usable to determine a dominant hand of a user of the computing device. The method also includes receiving, by the computing device, a plurality of input values, each input value from the plurality of input values corresponding to the respective plurality of features, and determining, using a probabilistic model and based at least in part on at least one input value from the plurality of input values corresponding to the respective feature from the plurality of features, a hand of the user as a dominant hand of the user. The method also includes generating, based at least in part on the determined dominant hand of the user, a graphical user interface for display at a presence-sensitive display operatively coupled to the computing device. | 03-27-2014 |
20140212106 | MUSIC SOUNDTRACK RECOMMENDATION ENGINE FOR VIDEOS - A system and method provide a soundtrack recommendation service for recommending one or more soundtrack for a video (i.e., a probe video). A feature extractor of the recommendation service extracts a set of content features of the probe video and generates a set of semantic features represented by a signature vector of the probe video. A video search module of the recommendation service is configured to search for a number of video candidates, each of which is semantically similar to the probe video and has an associated soundtrack. A video outlier identification module of the recommendation service identifies video candidates having an atypical use of their soundtracks and ranks the video candidates based on the typicality of their soundtrack usage. A soundtrack recommendation module selects the soundtracks of the top ranked video candidates as the soundtrack recommendations to the probe video. | 07-31-2014 |
20150081604 | Video Content Analysis For Automatic Demographics Recognition Of Users And Videos - A demographics analysis trains classifier models for predicting demographic attribute values of videos and users not already having known demographics. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of videos using video features such as demographics of video uploaders, textual metadata, and/or audiovisual content of videos. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of users (e.g., anonymous users) using user features based on prior video viewing periods of users. For example, viewing-period based user features can include individual viewing period statistics such as total videos viewed. Further, the viewing-period based features can include distributions of values over the viewing period, such as distributions in demographic attribute values of video uploaders, and/or distributions of viewings over hours of the day, days of the week, and the like. | 03-19-2015 |
20160124959 | SYSTEM AND METHOD TO RECOMMEND A BUNDLE OF ITEMS BASED ON ITEM/USER TAGGING AND CO-INSTALL GRAPH - A system and method of recommending a bundle of content items to a user, including storing a plurality of content items in a computer system, determining a respective co-selection score for each pair of content items among the plurality of content items, the co-selection score indicating a probability that a given pair of content items among the plurality of content items will both be downloaded by a user of the computer system, and outputting, to a first user, a plurality of content items comprising a sub-set of the plurality of content items. | 05-05-2016 |