Patent application number | Description | Published |
20140115146 | Predicting the Future State of a Mobile Device User - In one embodiment, a method includes accessing data associated with the mobile-computing-device usage of a user; accessing data associated with past user-states of the user, where the past user-states represent previous activities or actions associated with the user's mobile-computing-device usage; predicting a future user-state of the user based, at least in part, on the accessed data; and adapting the operation of the mobile computing device of the user at the future time based on the predicted future user-state. | 04-24-2014 |
20140152666 | Personalized-Recommendation Graph - In one embodiment, a method includes receiving a number of recommendations for a first user. Each recommendation being made by a second user and including information that: identifies an item being recommended; provides an explanation for the recommendation; identifies the first user as an addressee of the recommendation; and identifies the second user as an author of the recommendation. The method also includes providing for presentation to the first user one or more of the recommendations. | 06-05-2014 |
20140164511 | Eliciting Event-Driven Feedback - Particular embodiments detect events associated with information about activities that a user has engaged in. The activities may be associated with a location or location-agnostic. Based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations. | 06-12-2014 |
20150067032 | TECHNIQUES FOR SERVER-CONTROLLED TILING OF LOCATION-BASED INFORMATION - Techniques for server-controlled tiling of location-based information are described. An apparatus may comprise a communication component and a tile component. The communication component may be operative to receive a location-based search request from a client application, the location-based search request comprising a geographic area, and to transmit a plurality of tiles to the client application. The tile component may be operative to determine the plurality of tiles as a set of tiles that cover the geographic area, each tile of the plurality of tiles covering a portion of the geographic area and comprising a set of locations. Other embodiments are described and claimed. | 03-05-2015 |
20150074596 | TECHNIQUES TO DISPLAY LOCATION-BASED INFORMATION - Techniques to display location-based information are described. An apparatus may comprise a screen management component and an interface component. The screen management component may be operative to display in a first screen area location-based information on a map according to geographic location, to display in a second screen area a list comprising the location-based information, and to adjust a relative size of the first screen area and the second screen area in response to a received interaction with one of the first screen area and second screen area. The interface component may be operative to receive the interaction with one of the first screen area and second screen area. Other embodiments are described and claimed. | 03-12-2015 |
20160036679 | Predicting the Future State of a Mobile Device User - In one embodiment, a method includes receiving first data indicating a current usage of a mobile device by a user. The method includes accessing second data associated with past user states of the user, where each user state corresponds to a temporal, spatial, or modal accessibility of the user. A future user state of the user is determined based on a weighted set of predictor functions, each predictor function comprising a machine-learned algorithm for a particular user state. The probability of each user state is based on past user states of the second data, wherein each past user state is weighted by a decay factor based on the corresponding time. One of the user states is selected as the future user state, and the operation of the mobile device is adapted at a future time to account for that future user state. | 02-04-2016 |
20160044120 | Eliciting Event-Driven Feedback in a Social Network - Particular embodiments detect events associated with information about activities that a user has engaged in. The activities may be associated with a location or location-agnostic. Based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations. | 02-11-2016 |
20160044121 | Eliciting Event-Driven Feedback in a Social Network - Particular embodiments detect events associated with information about activities that a user has engaged in. The activities may be associated with a location or location-agnostic. Based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations. | 02-11-2016 |