Yahoo! | Date: 2017-01-30
One or more systems and/or methods for storing personal information within a first device and/or for providing personal information from the first device to the second device are provided. The first device (e.g., a smartphone) may identify a user interface (e.g., a movie streaming website) populated with user specified data (e.g., a password). The user specified data may be evaluated to identify personal information of the user (e.g., a movie streaming website password). The personal information may be stored within the first device. Responsive to determining that a second device (e.g., a smart television) displays a personal information input field (e.g., a movie streaming website password input field), an input event comprising the personal information may be provided from the first device to the second device. The input event may invoke the second device to input the movie streaming website password into the movie streaming website password input field.
Yahoo! | Date: 2017-01-31
Disclosed herein are a resource control service, system, method and architecture. A client devices resource access is limited to an approved resource, or resources. A request for a resource is directed to a resource control service that determines whether or not to grant access to the requested resource. Where a determination is made to grant access to the resource, a response is transmitted to the client device, the response redirecting the client device to a second URI for the approved version of the requested resource. The response can be used by the client device request the resource from the location identified in the response.
Yahoo! Inc. | Date: 2017-02-09
Disclosed herein is a statistical approach, a win share approach, used to assign a win share value to content items. User interaction with content items is tracked, and a win share value is assigned to content items in response to a winning action performed by a user. Win shares associated with content items are used to identify content items that are to be presented, and can further be used to identify an optimal presentation, e.g., layout, presentation frequency, etc., of content items that is to be presented.
Yahoo! Inc. | Date: 2017-02-13
Disclosed herein is an intelligent agent to analyze a media object. The agent comprises a trained model comprising a number of state layers for storing a history of actions taken by the agent in each of a number of previous iterations performed by the agent in analyzing a media object. The stored state may be used by the agent in a current iteration to determine whether or not to make, or abstain from making, a prediction from output generated by the model, identify another portion of the media object to analyze, end analysis. Output from the agents model may comprise a semantic vector that can be mapped to a semantic vector space to identify a number of labels for a media object.
Yahoo! | Date: 2017-03-08
The present teaching relates to methods, systems, and programming for reconciling or merging real time data with bulk data. In one example, a first attribute value is obtained. The first attribute value characterizes an aspect of a data item. A second attribute value related to the first attribute value is obtained. The second attribute value characterizes the aspect of the data item. A scheme is selected to be used to determine a third attribute value to characterize the data item. The third attribute value is determined in accordance with the selected scheme as well as the first and second attribute values.
Yahoo! | Date: 2017-02-07
An Internet or other online service is personalized or customized based on data collected for a user of a computing device. In one embodiment, a method includes: storing a plurality of person profiles for persons associated with communications received by a user of a computing device; receiving data associated with an online service; and filtering, using at least one processor, the data based on the plurality of person profiles, wherein the filtered data is for display to the user on the computing device.
Yahoo! Inc. | Date: 2017-02-08
Briefly, embodiments disclosed herein may relate to formulating synthetic questions, such as in response to a search query, for example. Candidate synthetic questions may be presented to a user who may initiate a search at least in part by selecting one or more candidate synthetic questions, for example, in an embodiment.
Yahoo! Inc. | Date: 2017-02-17
Users may engage with content that may invoke various emotions. For example, a user may find an image as inspirational, a social network post as funny, etc. Accordingly, content may be labeled with user emotion labels, specified by users that engaged with the content, to create labeled content (e.g., the image may be labeled as inspirational). Emotional transition triggers may be defined for users (e.g., 30 minutes of a user writing a school report using a word processing application). Responsive to a triggering of an emotional transition trigger, labeled content may be provided to a user (e.g., the image may be provided to the user as an inspirational break from writing the school report). In this way, content may be labeled based upon emotions that the content invokes in users, and such labeled content may be provided to users in a contextually relevant manner (e.g., a study break).
Yahoo! Inc. | Date: 2017-02-22
A social environment is provided by creating an object in response to recognition of an entity in a portion of web content, wherein the object represents the entity, the object is associated with a type selected from a set of types, and the type is associated with a schema selected from a set of schemas, where the social environment includes a set of objects including the object, wherein the objects are instances of corresponding types in a rich system of predefined types, the schemas are associated with the types, metadata is associated with the objects, and there is at least one relationship between at least two objects selected from the set of objects, where the set of objects and the metadata are extensible, such that extensions provided by a first user are available for use by a second user. In one example, metadata provided by a first user is only available to a second user having a relationship with the first user.
Yahoo! | Date: 2017-01-06
The present invention is directed towards systems and methods for trust propagation. The method according to one embodiment comprises calculating a first feature vector for a first user, calculating a second feature for a second user and comparing the first feature vector with the second feature vector to calculate a similarity value. A determination is made as to whether the similarity value falls within a threshold. If the similarity value falls within the threshold, a relationship is recorded between the first user and the second user in a first user profile and a second user profile.