When a user selects content to share, some operating systems present a user interface in which the user is shown a shortcut to share the content with particular contacts and/or via particular applications. However, such suggestions often do not match the user’s intent and are therefore inaccurate and accordingly, have low click-through rates. This disclosure describes techniques, implemented with user permission, to assign an affinity signal to a given piece of content, such that the suggestion interface offers the most relevant contacts to share the content with. The affinity signal is based on the content as well as the context, determined with user permission
With the overwhelming volume of online multimedia content and increasing ubiquity of Internet-enable...
Novice users often find it challenging to realize the full potential of available information resour...
A thesis submitted to the University of Bedfordshire in partial fulfilment of the requirements for t...
A user’s interaction with a virtual assistant is typically limited to the context of a single app. A...
Attempts to capture context within applications take a wide variety of forms. While it is generally ...
This disclosure describes techniques for automatic detection of unintentional sharing of content. A ...
This disclosure describes techniques for automatic generation and presentation of communication para...
With the overwhelming volume of online multimedia content and increasing ubiquity of Internet-enable...
In this thesis, we investigate how and what contextual factors affect user’s information sharing. We...
User data, such as page views, app installation/usage data, etc. is not easily available on some mob...
An interactive assistant, referred to herein as “an interactive assistant,” “a virtual assistant,” o...
This research concerns exploiting knowledge of the user's environment (i.e., context information) to...
Due to the rapid increase of social network resources and services, Internet users are now overwhelm...
Generally, the present disclosure is directed to selecting a user account out of one or more user ac...
Generally, the present disclosure is directed to incrementally sharing resources, e.g., documents, m...
With the overwhelming volume of online multimedia content and increasing ubiquity of Internet-enable...
Novice users often find it challenging to realize the full potential of available information resour...
A thesis submitted to the University of Bedfordshire in partial fulfilment of the requirements for t...
A user’s interaction with a virtual assistant is typically limited to the context of a single app. A...
Attempts to capture context within applications take a wide variety of forms. While it is generally ...
This disclosure describes techniques for automatic detection of unintentional sharing of content. A ...
This disclosure describes techniques for automatic generation and presentation of communication para...
With the overwhelming volume of online multimedia content and increasing ubiquity of Internet-enable...
In this thesis, we investigate how and what contextual factors affect user’s information sharing. We...
User data, such as page views, app installation/usage data, etc. is not easily available on some mob...
An interactive assistant, referred to herein as “an interactive assistant,” “a virtual assistant,” o...
This research concerns exploiting knowledge of the user's environment (i.e., context information) to...
Due to the rapid increase of social network resources and services, Internet users are now overwhelm...
Generally, the present disclosure is directed to selecting a user account out of one or more user ac...
Generally, the present disclosure is directed to incrementally sharing resources, e.g., documents, m...
With the overwhelming volume of online multimedia content and increasing ubiquity of Internet-enable...
Novice users often find it challenging to realize the full potential of available information resour...
A thesis submitted to the University of Bedfordshire in partial fulfilment of the requirements for t...