Abstract: A system of computers on a wide area network establishes connections between nodes on the basis of their multidimensional similarity at a particular point in time in a certain setting, such as a social learning network, and sends information of value to those nodes. Dimensions in the definition of similarity include a plurality of attributes in time and community space. Examples of such dimensions and attributes may include a position in a learning community's project cycle, titles of readings and projects, the genre or subject matter under consideration, age, grade, or level of the participants, and language. The network's nodes are represented as a tensor field and are searched efficiently and adaptively through a variety of multidimensional data structures and mechanisms. The system includes a master clock that can transform a participant's time coordinates on the network, such as a social learning network, into Universal Time, and the synchronizer coordinates the position of each participant.

Abstract: A system of computers on a wide area network establishes connections between nodes on the basis of their multidimensional similarity at a particular point in time in a certain setting, such as a social learning network, and sends information of value to those nodes. Dimensions in the definition of similarity include a plurality of attributes in time and community space. Examples of such dimensions and attributes may include a position in a learning community's project cycle, titles of readings and projects, the genre or subject matter under consideration, age, grade, or level of the participants, and language. The network's nodes are represented as a tensor field and are searched efficiently and adaptively through a variety of multidimensional data structures and mechanisms. The system includes a master clock that can transform a participant's time coordinates on the network, such as a social learning network, into Universal Time, and the synchronizer coordinates the position of each participant.

Abstract: A system of computers on a wide area network establishes connections between nodes on the basis of their multidimensional similarity at a particular point in time in a certain setting, such as a social learning network, and sends information of value to those nodes. Dimensions in the definition of similarity include a plurality of attributes in time and community space. Examples of such dimensions and attributes may include a position in a learning community's project cycle, titles of readings and projects, the genre or subject matter under consideration, age, grade, or level of the participants, and language. The network's nodes are represented as a tensor field and are searched efficiently and adaptively through a variety of multidimensional data structures and mechanisms. The system includes a master clock that can transform a participant's time coordinates on the network, such as a social learning network, into Universal Time, and the synchronizer coordinates the position of each participant.

Abstract: A system of computers on a wide area network establishes connections between nodes on the basis of their multidimensional similarity at a particular point in time in a certain setting, such as a social learning network, and sends information of value to those nodes. Dimensions in the definition of similarity include a plurality of attributes in time and community space. Examples of such dimensions and attributes may include a position in a learning community's project cycle, titles of readings and projects, the genre or subject matter under consideration, age, grade, or level of the participants, and language. The network's nodes are represented as a tensor field and are searched efficiently and adaptively through a variety of multidimensional data structures and mechanisms. The system includes a master clock that can transform a participant's time coordinates on the network, such as a social learning network, into Universal Time, and the synchronizer coordinates the position of each participant.

Abstract: A user of an instant messaging system may store names of other users of the instant messaging system on a participant list (which may be referred to as a “buddy list”), and the names may be categorized into one or more groups. Similarly, a user of a mobile device, such as a mobile telephone, may store contact information about people on the mobile device. Information describing the on-line presence of the user within the instant messaging system or the geographic location of a mobile device, such as a mobile telephone associated with the user, may be disseminated to users on the participant list or to people on the contact list based on notification information that is associated with groups of users or contacts.

Abstract: Announcing new users of an electronic communications system includes receiving an indication of a new user of an electronic communications system. The new user has an identifier for the electronic communications system. Existing users of the electronic communications system that are known to the new user are identified. The identified existing users are sent a message notifying the identified existing users of the identifier of the new user. The identified existing users may be enabled to add the identifier of the new user to participant lists used by the identified existing users. The new user may be enabled to add identifiers of the identified existing users to a participant list of the electronic communications system used by the new user.

Abstract: A user of an instant messaging system may store names of other users of the instant messaging system on a participant list (which may be referred to as a “buddy list”), and the names may be categorized into one or more groups. Similarly, a user of a mobile device, such as a mobile telephone, may store contact information about people on the mobile device. Information describing the on-line presence of the user within the instant messaging system or geographic location of a mobile device, such as a mobile telephone associated with the user system, may be disseminated to users on the participant list or people on the contact list based on notification information that is associated with groups of users or contacts. A delegation model is used to control whether a user is permitted to make modifications to the notification information.

Abstract: The system and method comprises enhancement of results for a search engine, wherein the results from the search engine are refined or reorganized, based upon information from an identified secondary source. The results obtained using a conventional search are compared against the identified secondary source, e.g. a ratings service, and are filtered and/or sorted appropriately. In some embodiments, identification of the secondary source, such as a ratings service comprising information which may supplement the subject of a search query, is based upon information entered by the user. In alternate embodiments, the secondary source is associated with a user, as part of general user-specified search parameters, wherein one or more parameters are consulted automatically for searches for appropriate subject matter.

Abstract: Passively populating a list of participants of an electronic communications system includes maintaining a participant list of users of an electronic communications system to be used by a user of the electronic communications system. Existing users of the electronic communications system that are known to the user are identified, and communications strengths between the user and each of the identified existing users are determined. The identified existing users with the highest communications strengths are designated for addition to the participant list. An existing group or a newly created group within the participant list to which each of the designated users should be added may be identified.

Abstract: Organizing a participant list includes maintaining a participant list of users of an electronic communications system to be used by a first user of the electronic communications system. Communications strengths between the first user and each of the users included in the participant list are determined. The users included in the participant list are organized based on the corresponding communications strengths. Communications strengths may be determined for users included in a group within the participant list, and the users within the group may be organized within the group based on communications strength. An additional group in the participant list in which some or all of the users included in the participant list are organized based on communications strength may be provided.

Abstract: The system and method comprises enhancement of results for a search engine, wherein the results from the search engine are refined or reorganized, based upon information from an identified secondary source. The results obtained using a conventional search are compared against the identified secondary source, e.g. a ratings service, and are filtered and/or sorted appropriately. In some embodiments, identification of the secondary source, such as a ratings service comprising information which may supplement the subject of a search query, is based upon information entered by the user. In alternate embodiments, the secondary source is associated with a user, as part of general user-specified search parameters, wherein one or more parameters are consulted automatically for searches for appropriate subject matter.

Abstract: This invention provides a system and method for customizing search results based on the searcher's actual geographic location when the search query was sent out via a wireless device. The searcher's geographic location information is extracted from, for example, the signals carrying the search query. The search engine compares the searcher's actual geographic location information against the geographic location information contained in the searchable resources to determine one or more parameters and then filters and ranks the search objects based on the determined parameters.

Abstract: The system and method comprises enhancement of results for a search engine, wherein the results from the search engine are refined or reorganized, based upon information from an identified secondary source. The results obtained using a conventional search are compared against the identified secondary source, e.g. a ratings service, and are filtered and/or sorted appropriately. In some embodiments, identification of the secondary source, such as a ratings service comprising information which may supplement the subject of a search query, is based upon information entered by the user. In alternate embodiments, the secondary source is associated with a user, as part of general user-specified search parameters, wherein one or more parameters are consulted automatically for searches for appropriate subject matter.