Abstract: Systems and methods for personalization using image clouds to represent content. Image clouds can be used to identify initial user interest, present recommended content, present popular content, present search results, and present user profile information. Image clouds are interactive, allowing users to select images displayed in the image cloud, which can contribute to presenting more personalized content as well as updating a user's profile.

Abstract: Systems and methods for personalization using image clouds to represent content. Image clouds can be used to identify initial user interest, present recommended content, present popular content, present search results, and present user profile information. Image clouds are interactive, allowing users to select images displayed in the image cloud, which can contribute to presenting more personalized content as well as updating a user's profile.

Abstract: Systems and methods for personalization using image clouds to represent content. Image clouds can be used to identify initial user interest, present recommended content, present popular content, present search results, and present user profile information. Image clouds are interactive, allowing users to select images displayed in the image cloud, which can contribute to presenting more personalized content as well as updating a user's profile.

Abstract: Systems and methods for personalization using image clouds to represent content. Image clouds can be used to identify initial user interest, present recommended content, present popular content, present search results, and present user profile information. Image clouds are interactive, allowing users to select images displayed in the image cloud, which can contribute to presenting more personalized content as well as updating a user's profile.

Abstract: A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying one or more features of a short term profile of a user that are not included in a long term profile of the user, using the one or more features to identify one or more third party profiles having features that substantially match the one or more features of the user's short term profile, accessing the identified one or more third party profiles, and providing one or more content items included in the third party profile to the user, the one or more content items having associated features that match the one or more features of the short term profile. An alternative method comprises accessing one or more third party profiles that are not a profile of the user, and using the accessed third party profile to identify a plurality of content items for recommendation to the user based on a feature set of the third party profile.

Abstract: Systems and methods for personalization using image clouds to represent content. Image clouds can be used to identify initial user interest, present recommended content, present popular content, present search results, and present user profile information. Image clouds are interactive, allowing users to select images displayed in the image cloud, which can contribute to presenting more personalized content as well as updating a user's profile.

Abstract: A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying a long term profile having one or more features in a feature set and a long term level of importance associated with each term in the feature set, identifying a short term profile having one or more features in the feature set and a short term level of importance associated with each term in the feature set, identifying input related to the display of the one or more content items on the user interface, and using the input to modify the short term level of importance and the long term level of importance associated with each term in the feature set to form a modified user interest set.

Abstract: The present invention is directed to a customizable electronics carrying case with a magnetized, modular accessory system. More particularly, the case is designed to protect and carry electronic devices of different sizes and specifications, from laptop and tablet computers to smartphones. The case is available in different sizes and configurations scaled for each respective device, or alternatively, any combination thereof. The case is also designed to store accessories for the devices in question, as well as every-day sundries and specialty items to facilitate a cosmopolitan, “work-on-the-go” lifestyle. Finally, the case features a magnetized inner spine, whereby to integrate the optional ferrous-metal containing or magnetized accessory flaps and/or “sub-cases.” By virtue of their ease of attaching to and detaching from the magnetized spine, the accessory flaps and/or “sub-cases” permit the device to be customized, which permits the device to carry a unique array of everyday, niche and hobbiest affordances.

Abstract: Systems and methods for personalization using image clouds to represent content. Image clouds can be used to identify initial user interest, present recommended content, present popular content, present search results, and present user profile information. Image clouds are interactive, allowing users to select images displayed in the image cloud, which can contribute to presenting more personalized content as well as updating a user's profile.

Abstract: A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying a long term profile having one or more features in a feature set and a long term level of importance associated with each term in the feature set, identifying a short term profile having one or more features in the feature set and a short term level of importance associated with each term in the feature set, identifying input related to the display of the one or more content items on the user interface, and using the input to modify the short term level of importance and the long term level of importance associated with each term in the feature set to form a modified user interest set.

Abstract: A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying one or more features of a short term profile of a user that are not included in a long term profile of the user, using the one or more features to identify one or more third party profiles having features that substantially match the one or more features of the user's short term profile, accessing the identified one or more third party profiles, and providing one or more content items included in the third party profile to the user, the one or more content items having associated features that match the one or more features of the short term profile. An alternative method comprises accessing one or more third party profiles that are not a profile of the user, and using the accessed third party profile to identify a plurality of content items for recommendation to the user based on a feature set of the third party profile.

Abstract: A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying a long term profile having one or more features in a feature set and a long term level of importance associated with each term in the feature set, identifying a short term profile having one or more features in the feature set and a short term level of importance associated with each term in the feature set, identifying input related to the display of the one or more content items on the user interface, and using the input to modify the short term level of importance and the long term level of importance associated with each term in the feature set to form a modified user interest set.

Abstract: A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying one or more features of a short term profile of a user that are not included in a long term profile of the user, using the one or more features to identify one or more third party profiles having features that substantially match the one or more features of the user's short term profile, accessing the identified one or more third party profiles, and providing one or more content items included in the third party profile to the user, the one or more content items having associated features that match the one or more features of the short term profile. An alternative method comprises accessing one or more third party profiles that are not a profile of the user, and using the accessed third party profile to identify a plurality of content items for recommendation to the user based on a feature set of the third party profile.

Abstract: A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying one or more features of a short term profile of a user that are not included in a long term profile of the user, using the one or more features to identify one or more third party profiles having features that substantially match the one or more features of the user's short term profile, accessing the identified one or more third party profiles, and providing one or more content items included in the third party profile to the user, the one or more content items having associated features that match the one or more features of the short term profile. An alternative method comprises accessing one or more third party profiles that are not a profile of the user, and using the accessed third party profile to identify a plurality of content items for recommendation to the user based on a feature set of the third party profile.

Abstract: A method includes identifying one or more features of a short term profile of a user that are not included in a long term profile of the user, using the one or more features to identify one or more third party profiles having features that substantially match the one or more features of the user's short term profile, accessing the identified one or more third party profiles, and providing one or more content items included in the third party profile to the user, the one or more content items having associated features that match the one or more features of the short term profile. An alternative method includes accessing one or more third party profiles that are not a profile of the user, and using the accessed third party profile to identify a plurality of content items for recommendation based on a feature set of the third party profile.

Abstract: A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying a content item accessed by a user, identifying features associated with the content item; using the features of the content item to identify one or more third party profiles that substantially match a content profile of the content item, and displaying a list of the identified third party profiles.

Abstract: A method includes identifying one or more features of a short term profile of a user that are not included in a long term profile of the user, using the one or more features to identify one or more third party profiles having features that substantially match the one or more features of the user's short term profile, accessing the identified one or more third party profiles, and providing one or more content items included in the third party profile to the user, the one or more content items having associated features that match the one or more features of the short term profile. An alternative method includes accessing one or more third party profiles that are not a profile of the user, and using the accessed third party profile to identify a plurality of content items for recommendation based on a feature set of the third party profile.

Abstract: A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying one or more features of a short term profile of a user that are not included in a long term profile of the user, using the one or more features to identify one or more third party profiles having features that substantially match the one or more features of the user's short term profile, accessing the identified one or more third party profiles, and providing one or more content items included in the third party profile to the user, the one or more content items having associated features that match the one or more features of the short term profile. An alternative method comprises accessing one or more third party profiles that are not a profile of the user, and using the accessed third party profile to identify a plurality of content items for recommendation to the user based on a feature set of the third party profile.

Abstract: A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying a long term profile having one or more features in a feature set and a long term level of importance associated with each term in the feature set, identifying a short term profile having one or more features in the feature set and a short term level of importance associated with each term in the feature set, identifying input related to the display of the one or more content items on the user interface, and using the input to modify the short term level of importance and the long term level of importance associated with each term in the feature set to form a modified user interest set.