Abstract: A system is provided that permits the use of classification information that can be interpreted by a computer system. To this end, a system and method may be provided for creating classification information that may be interpreted by a computer system. Such classification information may be associated with content, and permit a computer system to process the content based on the classification information. In one example, classification information may be associated by a user, system, or process with a portion of content, and a computer system processes the content based on the classification information. For instance, the classification information may cause content to be processed in a particular way, be presented to a user by a particular application program, cause the content to be forwarded to a particular user, or otherwise influence how the content is handled.

Abstract: A system is provided that permits the use of classification information that can be interpreted by a computer system. To this end, a system and method may be provided for creating classification information that may be interpreted by a computer system. Such classification information may be associated with content, and permit a computer system to process the content based on the classification information. In one example, classification information may be associated by a user, system, or process with a portion of content, and a computer system processes the content based on the classification information. For instance, the classification information may cause content to be processed in a particular way, presented to a user by a particular application program, cause the content to be forwarded to a particular user, or otherwise influence how the content is handled.

Abstract: A system is provided that permits the use of classification information that can be interpreted by a computer system. To this end, a system and method may be provided for creating classification information that may be interpreted by a computer system. Such classification information may be associated with content, and permit a computer system to process the content based on the classification information. In one example, classification information may be associated by a user, system, or process with a portion of content, and a computer system processes the content based on the classification information. For instance, the classification information may cause content to be processed in a particular way, presented to a user by a particular application program, cause the content to be forwarded to a particular user, or otherwise influence how the content is handled.

Abstract: A method comprises receiving a search request to search a bookmark package database storing bookmarks and tag information, e.g., user-generated keywords; using the search request to search the tag information in the bookmark package database to locate relevant bookmarks and to generate search results; and presenting the search results to a user. The search results may identify user-specific relevant bookmarks, and/or relevant bookmarks regardless of the creator. The method may include determining related terms and enabling selection of the related terms to initiate additional searching. The method may include generating a relevance value based on keyword order, meta-information type, number of bookmarks to a given content item, number of hits on a given bookmark, time of last bookmarking to a given content item, and/or content analysis. Search result organization may be based on the relevance values. The bookmark package database may further store automatically generated and user-generated meta-information.

Abstract: A method comprises receiving a search request to search a bookmark package database storing bookmarks and tag information, e.g., user-generated keywords; using the search request to search the tag information in the bookmark package database to locate relevant bookmarks and to generate search results; and presenting the search results to a user. The search results may identify user-specific relevant bookmarks, and/or relevant bookmarks regardless of the creator. The method may include determining related terms and enabling selection of the related terms to initiate additional searching. The method may include generating a relevance value based on keyword order, meta-information type, number of bookmarks to a given content item, number of hits on a given bookmark, time of last bookmarking to a given content item, and/or content analysis. Search result organization may be based on the relevance values. The bookmark package database may further store automatically generated and user-generated meta-information.

Abstract: A method comprises identifying a first user having stored in a database a set of first bookmarks associated with a topic of interest; determining a level of relatedness of a second user to the first user by comparing a first number of overlapping bookmarks that were stored in the database by the second user and that overlap the set of first bookmarks; determining a level of value of the second user to the first user by comparing a second number of related nonoverlapping bookmarks that were stored in the database by the second user that, relate to the topic of interest, and that do not overlap the set of first bookmarks; and presenting at least a portion of the related nonoverlapping bookmarks to the first user.

Abstract: A system is provided that permits the use of classification information that can be interpreted by a computer system. To this end, a system and method may be provided for creating classification information that may be interpreted by a computer system. Such classification information may be associated with content, and permit a computer system to process the content based on the classification information. In one example, classification information may be associated by a user, system, or process with a portion of content, and a computer system processes the content based on the classification information. For instance, the classification information may cause content to be processed in a particular way, presented to a user by a particular application program, cause the content to be forwarded to a particular user, or otherwise influence how the content is handled.

Abstract: Embodiments of the present invention provide systems, methods and computer program products for generating search results comprising web documents with associated expert information. One embodiment of a method for generating such search results includes receiving one or more search queries, selecting one of the one or more search queries, determining one or more categories of web documents responsive to the selected search query and crawling a web graph of linked web documents to identify one or more web documents tagged as within the one or more categories responsive to the selected search query. The method further includes generating a result set of the one or more web documents identified as within the one or more categories responsive to the selected search query, ranking the result set and generating a list of ranked search results responsive to the selected search.

Abstract: A method, a member satellite, and a tangible machine-readable medium are disclosed. An inter-satellite link subsystem 472 may maintain a fixed communication link between the member satellite and a partner satellite of the medium earth orbit centric satellite constellation in a regular, wraparound symmetric, spatially dimensional network. A terrestrial linking subsystem 476 may create a terrestrial link to a ground terminal.

Abstract: One aspect relates to a social bookmarking system that has the capability of displaying advertisements based on user input provided to the system. Advertisements displayed to the user may be determined based on one or more classifications provided by the social bookmarking system and selected by the user. Further, classification information that is created, used, or otherwise associated with the particular user may be used to determine ads displayed to that user. Another aspect relates to a system for collecting user classifications of content and using such classifications to match ads to appropriate content. In such a manner, more appropriate associations between ads and content may be made. Such classifications may be collected, for example, using a social bookmarking system. Further, advertisers may subscribe to classifications created in the social bookmarking system, allowing their advertisements to be displayed to users that perform actions with the subscribed classification.

Abstract: Embodiments of the present invention provide systems, methods and computer program products for generating search results comprising web documents with associated expert information. One embodiment of a method for generating such search results includes receiving one or more search queries, selecting one of the one or more search queries, determining one or more categories of web documents responsive to the selected search query and crawling a web graph of linked web documents to identify one or more web documents tagged as within the one or more categories responsive to the selected search query. The method further includes generating a result set of the one or more web documents identified as within the one or more categories responsive to the selected search query, ranking the result set and generating a list of ranked search results responsive to the selected search.

Abstract: The present invention is directed towards systems and methods for saving and tagging a content item available on a computer network, including saving and bookmarking a reference to a content item. According to one embodiment of a method according to the present invention, a user navigates to a content item and selects a control to save a bookmark to the content item. A bookmarking and tagging server receives one or more items of tag information that are related to the bookmarked content item, which are saved in conjunction with the one or more items of tag information.

Abstract: Embodiments of the present invention provide systems, methods and computer program products for generating search results comprising web documents with associated expert information. One embodiment of a method for generating such search results includes receiving one or more search queries, selecting one of the one or more search queries, determining one or more categories of web documents responsive to the selected search query and crawling a web graph of linked web documents to identify one or more web documents tagged as within the one or more categories responsive to the selected search query. The method further includes generating a result set of the one or more web documents identified as within the one or more categories responsive to the selected search query, ranking the result set and generating a list of ranked search results responsive to the selected search.

Abstract: A method comprises receiving a search request to search a bookmark package database storing bookmarks and tag information, e.g., user-generated keywords; using the search request to search the tag information in the bookmark package database to locate relevant bookmarks and to generate search results; and presenting the search results to a user. The search results may identify user-specific relevant bookmarks, and/or relevant bookmarks regardless of the creator. The method may include determining related terms and enabling selection of the related terms to initiate additional searching. The method may include generating a relevance value based on keyword order, meta-information type, number of bookmarks to a given content item, number of hits on a given bookmark, time of last bookmarking to a given content item, and/or content analysis. Search result organization may be based on the relevance values. The bookmark package database may further store automatically generated and user-generated meta-information.

Abstract: Embodiments of the present invention provide systems, methods and computer program products for generating search results comprising web documents with associated expert information. One embodiment of a method for generating such search results includes receiving one or more search queries, selecting one of the one or more search queries, determining one or more categories of web documents responsive to the selected search query and crawling a web graph of linked web documents to identify one or more web documents tagged as within the one or more categories responsive to the selected search query. The method further includes generating a result set of the one or more web documents identified as within the one or more categories responsive to the selected search query, ranking the result set and generating a list of ranked search results responsive to the selected search.

Abstract: A method comprises receiving a search request to search a bookmark package database storing bookmarks and tag information, e.g., user-generated keywords; using the search request to search the tag information in the bookmark package database to locate relevant bookmarks and to generate search results; and presenting the search results to a user. The search results may identify user-specific relevant bookmarks, and/or relevant bookmarks regardless of the creator. The method may include determining related terms and enabling selection of the related terms to initiate additional searching. The method may include generating a relevance value based on keyword order, meta-information type, number of bookmarks to a given content item, number of hits on a given bookmark, time of last bookmarking to a given content item, and/or content analysis. Search result organization may be based on the relevance values. The bookmark package database may further store automatically generated and user-generated meta-information.

Abstract: The present invention is directed towards systems and methods for bookmarking and tagging content items such as media files with user-defined tag information and system-defined tag information based on file types. Utilizing tag information, a user of a bookmarking and tagging service provider can easily search for and retrieve links to media files having specific tag information, even if the media files are located at geographically disparate sites. A user may also retrieve the media files using web feeds.

Abstract: A method comprises identifying a first user having stored in a database a set of first bookmarks associated with a topic of interest; determining a level of relatedness of a second user to the first user by comparing a first number of overlapping bookmarks that were stored in the database by the second user and that overlap the set of first bookmarks; determining a level of value of the second user to the first user by comparing a second number of related nonoverlapping bookmarks that were stored in the database by the second user that, relate to the topic of interest, and that do not overlap the set of first bookmarks; and presenting at least a portion of the related nonoverlapping bookmarks to the first user.

Abstract: A method comprises identifying a first user having stored in a database a set of first bookmarks associated with a topic of interest; determining a level of relatedness of a second user to the first user by comparing a first number of overlapping bookmarks that were stored in the database by the second user and that overlap the set of first bookmarks; determining a level of value of the second user to the first user by comparing a second number of related nonoverlapping bookmarks that were stored in the database by the second user, that relate to the topic of interest, and that do not overlap the set of first bookmarks; and presenting at least a portion of the related nonoverlapping bookmarks to the first user.

Abstract: Embodiments of the present invention provide systems, methods and computer program products for generating search results comprising web documents with associated expert information. One embodiment of a method for generating such search results includes receiving one or more search queries, selecting one of the one or more search queries, determining one or more categories of web documents responsive to the selected search query and crawling a web graph of linked web documents to identify one or more web documents tagged as within the one or more categories responsive to the selected search query. The method further includes generating a result set of the one or more web documents identified as within the one or more categories responsive to the selected search query, ranking the result set and generating a list of ranked search results responsive to the selected search.