Abstract: Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

Abstract: Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

Abstract: Calendar data including meeting schedules for users may be received by a processing device. A set of user schedules for the users may be generated based upon the calendar data. Each user schedule may contain a set of timeslots that represent a time window and an indication of whether a meeting is scheduled. A first combined score for the set of user schedules may be calculated. One or more rescheduling moves for the scheduled meetings may be determined using a rescheduling rule. A second combined score may be generated based on the rescheduling moves for the set of user schedules. A determination may be made as to whether the second combined score is higher than the first combined score. One or more meeting updates to reschedule the one or more meetings for the users may be generated.

Abstract: Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

Abstract: Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

Abstract: Calendar data including meeting schedules for users may be received by a processing device. A set of user schedules for the users may be generated based upon the calendar data. Each user schedule may contain a set of timeslots that represent a time window and an indication of whether a meeting is scheduled. A first combined score for the set of user schedules may be calculated. One or more rescheduling moves for the scheduled meetings may be determined using a rescheduling rule. A second combined score may be generated based on the rescheduling moves for the set of user schedules. A determination may be made as to whether the second combined score is higher than the first combined score. One or more meeting updates to reschedule the one or more meetings for the users may be generated.

Abstract: Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

Abstract: Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

Abstract: A method and apparatus for the automatic creation of a relationship management system is described. The method may include receiving a request from a user to create a relationship management system, and receiving specification of one or more electronic communication systems and user access credentials that provide access to each of the corresponding accounts. Furthermore, the method may include obtaining past electronic communications using the received user access credentials and analyzing the past electronic communications to extract contact data. The method may also include creating the relationship management system for the user and adding the contact data as contacts associated with the user in the created relationship management system.

Abstract: Methods and apparatuses for dynamic presentation of contextually relevant information. Access to an application is provided via a browser. Contextual information corresponding to individual entities is provided. The contextual information is retrieved from at least internal source and at least one external source. The contextual information is dynamically updated in response to input provide to the application to the browser.

Abstract: Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

Abstract: A method and apparatus for determining connection strength for users of a relationship management system is described. The method may include receiving a request from a first user of a relationship management system user for a connection strength score associated with a relationship management system account. Furthermore, the method may include determining connection strength scores between each of the plurality of contacts in the account and the organization based on communications exchanged between each of the plurality of contacts with users of the relationship management system. The method may also include selecting a subset of contacts from the account based on the determined connection strength scores, and presenting the selected subset of contacts from the account to the first relationship management system user.

Abstract: A method and apparatus for communication sharing in a relationship management system is described. The method may include obtaining an electronic communication by a relationship management system and extracting identification data from the electronic communication. Furthermore, the method may include locating a collaborator and a relationship in the extracted identification data, wherein the collaborator and the relationship are participants in a relationship management process. The method may also include determining when the collaborator and the relationship are both members in a communications sharing list that is associated with the relationship management process, and distributing data associated with the electronic communication to collaborator members in the communications sharing list.

Abstract: A method and apparatus for the automatic creation of a relationship management system is described. The method may include receiving a request from a user to create a relationship management system, and receiving specification of one or more electronic communication systems and user access credentials that provide access to each of the corresponding accounts. Furthermore, the method may include obtaining past electronic communications using the received user access credentials and analyzing the past electronic communications to extract contact data. The method may also include creating the relationship management system for the user and adding the contact data as contacts associated with the user in the created relationship management system.

Abstract: A method for automatically ordering printer consumables which includes determining when a printer consumable is close to depletion and automatically ordering a replacement to the printer consumable based upon a plurality of criteria. The criteria includes the amount of consecutive time a consumer has been a member of a printer consumable subscription service and the number of printer consumables ordered by a consumer.

Abstract: A method for automatically ordering printer consumables which includes determining when a printer consumable is close to depletion and automatically ordering a replacement to the printer consumable based upon a plurality of criteria. The criteria includes the amount of consecutive time a consumer has been a member of a printer consumable subscription service and the number of printer consumables ordered by a consumer.

Abstract: A method for automatically ordering printer consumables which includes determining when a printer consumable is close to depletion and automatically ordering a replacement to the printer consumable based upon a plurality of criteria. The criteria includes the amount of consecutive time a consumer has been a member of a printer consumable subscription service and the number of printer consumables ordered by a consumer.