Abstract: Information regarding a mobile user's context including but not limited to current mobile activity, social relations and associations history, and past mobile, search and browsing history is identified and converted to metadata. Metadata is also applied to content sources delivering content to a search engine or personalized content engine. The metadata is used in part to determine the relative display of content objects delivered to the mobile user as search results or a personalized aggregated information resource, e.g., home page. The user may select information, from one or more entities or search results or as presented to the user in other contexts, to be automatically delivered to the user's home page as a content feed including multiple content objects or content feeds associated with an entity. Information regarding mobile user activity is compiled and used to permit publishers and advertisers to identify target candidates to receive advertisements or marketing materials.

Abstract: Methods and apparatus for searching data and grouping search results into clusters that are ordered according to search relevance. Each cluster comprises one or more data type, such as images, web pages, local information, news, advertisements, and the like. In one embodiment, a search term is evaluated for related concepts indicating categories of data sources to search. Data sources may also be identified by context information such as a location of a client device, a currently running application, and the like. Search results in each cluster are ordered by relevance and each cluster is given a score based on an aggregate of the relevance within the cluster. Each cluster score may be modified based on one or more corresponding concepts and/or context information. The clusters are ordered based on the modified scores. Content, including advertisements, may also be added to the ordered list to appear as another cluster.

Abstract: The disclosure describes systems and methods delivering communications associated with delivery conditions in which the occurrence of the delivery condition is determined by monitoring information received from a plurality of sources via multiple communication channels. The message delivery systems allow messages to be delivered to any “Who, What, When, Where” from any “Who, What, When, Where” upon the detection of an occurrence of one or more “Who, What, When, Where” delivery conditions. A message (which may be any data object including text-based messages, audio-based message such as voicemail or other audio such as music or video-based prerecorded messages) is delivered in accordance with delivery conditions based on any available data, including topical, spatial, temporal, and/or social data.

Abstract: Information regarding a mobile user's context including but not limited to current mobile activity, social relations and associations history, and past mobile, search and browsing history is identified and converted to metadata. Metadata is also applied to content sources delivering content to a search engine or personalized content engine. The metadata is used in part to determine the relative display of content objects delivered to the mobile user as search results or a personalized aggregated information resource, e.g., home page. The user may select information, from one or more entities or search results or as presented to the user in other contexts, to be automatically delivered to the user's home page as a content feed including multiple content objects or content feeds associated with an entity. Information regarding mobile user activity is compiled and used to permit publishers and advertisers to identify target candidates to receive advertisements or marketing materials.

Abstract: Methods and apparatus for searching data and grouping search results into clusters that are ordered according to search relevance. Each cluster comprises one or more data type, such as images, web pages, local information, news, advertisements, and the like. In one embodiment, a search term is evaluated for related concepts indicating categories of data sources to search. Data sources may also be identified by context information such as a location of a client device, a currently running application, and the like. Search results in each cluster are ordered by relevance and each cluster is given a score based on an aggregate of the relevance within the cluster. Each cluster score may be modified based on one or more corresponding concepts and/or context information. The clusters are ordered based on the modified scores. Content, including advertisements, may also be added to the ordered list to appear as another cluster.

Abstract: The disclosure describes systems and methods delivering communications associated with delivery conditions in which the occurrence of the delivery condition is determined by monitoring information received from a plurality of sources via multiple communication channels. The message delivery systems allow messages to be delivered to any “Who, What, When, Where” from any “Who, What, When, Where” upon the detection of an occurrence of one or more “Who, What, When, Where” delivery conditions. A message (which may be any data object including text-based messages, audio-based message such as voicemail or other audio such as music or video-based prerecorded messages) is delivered in accordance with delivery conditions based on any available data, including topical, spatial, temporal, and/or social data.

Abstract: Methods and apparatus for searching data and grouping search results into clusters that are ordered according to search relevance. Each cluster comprises one or more data type, such as images, web pages, local information, news, advertisements, and the like. In one embodiment, a search term is evaluated for related concepts indicating categories of data sources to search. Data sources may also be identified by context information such as a location of a client device, a currently running application, and the like. Search results in each cluster are ordered by relevance and each cluster is given a score based on an aggregate of the relevance within the cluster. Each cluster score may be modified based on one or more corresponding concepts and/or context information. The clusters are ordered based on the modified scores. Content, including advertisements, may also be added to the ordered list to appear as another cluster.

Abstract: Information regarding a mobile user's context including but not limited to current mobile activity, social relations and associations history, and past mobile, search and browsing history is identified and converted to metadata. Metadata is also applied to content sources delivering content to a search engine or personalized content engine. The metadata is used in part to determine the relative display of content objects delivered to the mobile user as search results or a personalized aggregated information resource, e.g., home page. The user may select information, from one or more entities or search results or as presented to the user in other contexts, to be automatically delivered to the user's home page as a content feed including multiple content objects or content feeds associated with an entity. Information regarding mobile user activity is compiled and used to permit publishers and advertisers to identify target candidates to receive advertisements or marketing materials.

Abstract: The disclosure describes systems and methods delivering communications associated with delivery conditions in which the occurrence of the delivery condition is determined by monitoring information received from a plurality of sources via multiple communication channels. The message delivery systems allow messages to be delivered to any “Who, What, When, Where” from any “Who, What, When, Where” upon the detection of an occurrence of one or more “Who, What, When, Where” delivery conditions. A message (which may be any data object including text-based messages, audio-based message such as voicemail or other audio such as music or video-based prerecorded messages) is delivered in accordance with delivery conditions based on any available data, including topical, spatial, temporal, and/or social data.

Abstract: Information regarding a mobile user's context including but not limited to current mobile activity, social relations and associations history, and past mobile, search and browsing history is identified and converted to metadata. Metadata is also applied to content sources delivering content to a search engine or personalized content engine. The metadata is used in part to determine the relative display of content objects delivered to the mobile user as search results or a personalized aggregated information resource, e.g., home page. The user may select information, from one or more entities or search results or as presented to the user in other contexts, to be automatically delivered to the user's home page as a content feed including multiple content objects or content feeds associated with an entity. Information regarding mobile user activity is compiled and used to permit publishers and advertisers to identify target candidates to receive advertisements or marketing materials.

Abstract: The disclosure describes systems and methods delivering communications associated with delivery conditions in which the occurrence of the delivery condition is determined by monitoring information received from a plurality of sources via multiple communication channels. The message delivery systems allow messages to be delivered to any “Who, What, When, Where” from any “Who, What, When, Where” upon the detection of an occurrence of one or more “Who, What, When, Where” delivery conditions. A message (which may be any data object including text-based messages, audio-based message such as voicemail or other audio such as music or video-based prerecorded messages) is delivered in accordance with delivery conditions based on any available data, including topical, spatial, temporal, and/or social data.

Abstract: Methods and apparatus for searching data and grouping search results into clusters that are ordered according to search relevance. Each cluster comprises one or more data type, such as images, web pages, local information, news, advertisements, and the like. In one embodiment, a search term is evaluated for related concepts indicating categories of data sources to search. Data sources may also be identified by context information such as a location of a client device, a currently running application, and the like. Search results in each cluster are ordered by relevance and each cluster is given a score based on an aggregate of the relevance within the cluster. Each cluster score may be modified based on one or more corresponding concepts and/or context information. The clusters are ordered based on the modified scores. Content, including advertisements, may also be added to the ordered list to appear as another cluster.

Abstract: Methods and apparatus for searching data and grouping search results into clusters that are ordered according to search relevance. Each cluster includes one or more data type, such as images, web pages, local information, news, advertisements, and the like. In one embodiment, a search term is evaluated for related concepts indicating categories of data sources to search. Data sources may also be identified by context information such as a location of a client device, a currently running application, and the like. Search results in each cluster are ordered by relevance and each cluster is given a score based on an aggregate of the relevance within the cluster. Each cluster score may be modified based on one or more corresponding concepts and/or context information. The clusters are ordered based on the modified scores. Content, including advertisements, may also be added to the ordered list to appear as another cluster.

Abstract: Methods and apparatus are described by which one or more input words may be predicted based on partial input from a user using a predictive model that employs contextual metadata which characterizes the user in a multi-dimensional space in which the dimensions are defined by one or more of a spatial aspect, a temporal aspect, a social aspect, or a topical aspect.

Abstract: Information regarding a mobile user's context including but not limited to current mobile activity, social relations and associations history, and past mobile, search and browsing history is identified and converted to metadata. Metadata is also applied to content sources delivering content to a search engine or personalized content engine. The metadata is used in part to determine the relative display of content objects delivered to the mobile user as search results or a personalized aggregated information resource, e.g., home page. The user may select information, from one or more entities or search results or as presented to the user in other contexts, to be automatically delivered to the user's home page as a content feed including multiple content objects or content feeds associated with an entity. Information regarding mobile user activity is compiled and used to permit publishers and advertisers to identify target candidates to receive advertisements or marketing materials.

Abstract: Information regarding a mobile user's context including but not limited to current mobile activity, social relations and associations history, and past mobile, search and browsing history is identified and converted to metadata. Metadata is also applied to content sources delivering content to a search engine or personalized content engine. The metadata is used in part to determine the relative display of content objects delivered to the mobile user as search results or a personalized aggregated information resource, e.g., home page. The user may select information, from one or more entities or search results or as presented to the user in other contexts, to be automatically delivered to the user's home page as a content feed including multiple content objects or content feeds associated with an entity. Information regarding mobile user activity is compiled and used to permit publishers and advertisers to identify target candidates to receive advertisements or marketing materials.

Abstract: Information regarding a mobile user's context including but not limited to current mobile activity, social relations and associations history, and past mobile, search and browsing history is identified and converted to metadata. Metadata is also applied to content sources delivering content to a search engine or personalized content engine. The metadata is used in part to determine the relative display of content objects delivered to the mobile user as search results or a personalized aggregated information resource, e.g., home page. The user may select information, from one or more entities or search results or as presented to the user in other contexts, to be automatically delivered to the user's home page as a content feed including multiple content objects or content feeds associated with an entity. Information regarding mobile user activity is compiled and used to permit publishers and advertisers to identify target candidates to receive advertisements or marketing materials.

Abstract: The disclosure describes systems and methods delivering communications associated with delivery conditions in which the occurrence of the delivery condition is determined by monitoring information received from a plurality of sources via multiple communication channels. The message delivery systems allow messages to be delivered to any “Who, What, When, Where” from any “Who, What, When, Where” upon the detection of an occurrence of one or more “Who, What, When, Where” delivery conditions. A message (which may be any data object including text-based messages, audio-based message such as voicemail or other audio such as music or video-based prerecorded messages) is delivered in accordance with delivery conditions based on any available data, including topical, spatial, temporal, and/or social data.

Abstract: A method, system, and apparatus are directed to communicating data over a network. Event attributes comprising at least two of a temporal, spatial, social, or topical information are received. An event structure comprising fields associated with a different one of a temporal, spatial, social, or topical dimension based on the received event attributes is generated. An advertising attributes about an advertisement is received. The advertising attributes may comprise at least two of another temporal, spatial, social, or topical information. If the event structure matches the advertising attributes, the advertisement may be provided co-located with the event structure. The advertisement may be configured to provide a value exchange if the advertisement is activated.

Abstract: Methods and apparatus for searching data and grouping search results into clusters that are ordered according to search relevance. Each cluster comprises one or more data type, such as images, web pages, local information, news, advertisements, and the like. In one embodiment, a search term is evaluated for related concepts indicating categories of data sources to search. Data sources may also be identified by context information such as a location of a client device, a currently running application, and the like. Search results in each cluster are ordered by relevance and each cluster is given a score based on an aggregate of the relevance within the cluster. Each cluster score may be modified based on one or more corresponding concepts and/or context information. The clusters are ordered based on the modified scores. Content, including advertisements, may also be added to the ordered list to appear as another cluster.