Abstract: A location query engine in a social networking system provides users with a subset of candidate locations based on location query received from a user. The social networking system identifies candidate locations from stored location data that has one or more attributes matching at least one attribute of the location query. The candidate locations are ranked based on social data determined from a user profile associated with the user, and the subset of candidate locations is selected from the ranking and provided to the user. Examples of social data used for ranking the candidate locations include locations associated with other users connected to the user, locations associated with objects connected to the user and locations previously associated with the user.

Abstract: Social networking system users may create events where a group of other users invited to the event meet at a specified time and location. While an inviting user initially specifies the group of users to invite to the event, the social networking system suggests additional users to invite to the event. The social networking system suggests additional users based on a prediction that the users would attend the event if invited. Various factors may be used to make the prediction, such as an affinity between the inviting user and the other users, the availability of the other users at the time of the event and/or the proximity of the other users to the location of the event. Invitations to the suggested additional users may be automatically sent or sent to a set of the additional users selected by the inviting user.

Abstract: A social networking system allows a user to create an event in the social networking system while viewing a web page from a third-party website from a domain different than the social networking system. A widget or other social plug-in is included in the web page, and user interaction with the widget communicates information from the web page to the social networking system. An event object is created in the social networking system from the information from the web page. The social networking system may perform various actions to increase user interaction with the created event object, such as identifying additional users to invite the event or identifying users attending the event to other users.

Abstract: In one embodiment, a method includes receiving, at a query field associated with a social network environment, a request from a first user of the social network environment, identifying a first set of objects associated with the online social network matching at least in part the character string of the request, determining a second set of objects based on the first set of objects, wherein each object in the second set of objects is conceptually relevant to at least one of the objects of the first set of objects, and sending, to the query field for display to the first user, the suggested queries responsive to the request, wherein at least one of the suggested queries comprises a references to one of the conceptually relevant objects in the second set of objects.

Abstract: Social networking system users may create events where a group of other users invited to the event meet at a specified time and location. While an inviting user initially specifies the group of users to invite to the event, the social networking system suggests additional users to invite to the event. The social networking system suggests additional users based on a prediction that the users would attend the event if invited. Various factors may be used to make the prediction, such as an affinity between the inviting user and the other users, the availability of the other users at the time of the event and/or the proximity of the other users to the location of the event. Invitations to the suggested additional users may be automatically sent or sent to a set of the additional users selected by the inviting user.

Abstract: Social networking system users may create events where a group of other users invited to the event meet at a specified time and location. While an inviting user initially specifies the group of users to invite to the event, the social networking system suggests additional users to invite to the event. The social networking system suggests additional users based on a prediction that the users would attend the event if invited. Various factors may be used to make the prediction, such as an affinity between the inviting user and the other users, the availability of the other users at the time of the event and/or the proximity of the other users to the location of the event. Invitations to the suggested additional users may be automatically sent or sent to a set of the additional users selected by the inviting user.

Abstract: A social networking system that provides a system allowing users of the social networking system to define future plans, whereby users of the social networking system who view the plan are permitted to add themselves to the plan independent of whether they were explicitly specified as attendees of the plan. The social networking system is capable of auto-filling some missing plan details through inference. The social networking system is also capable of merging similar plans together.

Abstract: Social networking system users may create events where a group of other users invited to the event meet at a specified time and location. While an inviting user initially specifies the group of users to invite to the event, the social networking system suggests additional users to invite to the event. The social networking system suggests additional users based on a prediction that the users would attend the event if invited. Various factors may be used to make the prediction, such as an affinity between the inviting user and the other users, the availability of the other users at the time of the event and/or the proximity of the other users to the location of the event. Invitations to the suggested additional users may be automatically sent or sent to a set of the additional users selected by the inviting user.

Abstract: Social networking system users may create events where a group of other users invited to the event meet at a specified time and location. While an inviting user initially specifies the group of users to invite to the event, the social networking system suggests additional users to invite to the event. The social networking system suggests additional users based on a prediction that the users would attend the event if invited. Various factors may be used to make the prediction, such as an affinity between the inviting user and the other users, the availability of the other users at the time of the event and/or the proximity of the other users to the location of the event. Invitations to the suggested additional users may be automatically sent or sent to a set of the additional users selected by the inviting user.

Abstract: A location query engine in a social networking system provides users with a subset of candidate locations based on location query received from a user. The social networking system identifies candidate locations from stored location data that has one or more attributes matching at least one attribute of the location query. The candidate locations are ranked based on social data determined from a user profile associated with the user, and the subset of candidate locations is selected from the ranking and provided to the user. Examples of social data used for ranking the candidate locations include locations associated with other users connected to the user, locations associated with objects connected to the user and locations previously associated with the user.

Abstract: In one embodiment, a method includes receiving, at a query field associated with a social network environment, a request from a first user of the social network environment, identifying a first set of objects associated with the online social network matching at least in part the character string of the request, determining a second set of objects based on the first set of objects, wherein each object in the second set of objects is conceptually relevant to at least one of the objects of the first set of objects, and sending, to the query field for display to the first user, the suggested queries responsive to the request, wherein at least one of the suggested queries comprises a references to one of the conceptually relevant objects in the second set of objects.

Abstract: A location query engine in a social networking system provides users with a subset of candidate locations based on location query received from a user. The social networking system identifies candidate locations from stored location data that has one or more attributes matching at least one attribute of the location query. The candidate locations are ranked based on social data determined from a user profile associated with the user, and the subset of candidate locations is selected from the ranking and provided to the user. Examples of social data used for ranking the candidate locations include locations associated with other users connected to the user, locations associated with objects connected to the user and locations previously associated with the user.

Abstract: A social networking system allows a user to create an event in the social networking system while viewing a web page from a third-party website from a domain different than the social networking system. A widget or other social plug-in is included in the web page, and user interaction with the widget communicates information from the web page to the social networking system. An event object is created in the social networking system from the information from the web page. The social networking system may perform various actions to increase user interaction with the created event object, such as identifying additional users to invite the event or identifying users attending the event to other users.

Abstract: As a user of a social networking system views a page that includes information provided by the system, certain types of social interactions are monitored. If an interaction monitored for is detected, at least one recommendation unit is identified to present to user on the page. The recommendation unit is identified based on a description of the interaction. The recommendation unit suggests that the user perform a social interaction in the social networking system. The recommendation unit is transmitted to a device of the user and is presented to the user on the page without having to reload the entire page.

Abstract: A social networking system allows a user to create an event in the social networking system while viewing a web page from a third-party website from a domain different than the social networking system. A widget or other social plug-in is included in the web page, and user interaction with the widget communicates information from the web page to the social networking system. An event object is created in the social networking system from the information from the web page. The social networking system may perform various actions to increase user interaction with the created event object, such as identifying additional users to invite the event or identifying users attending the event to other users.

Abstract: As a user of a social networking system views a page that includes information provided by the system, certain types of social interactions are monitored. If an interaction monitored for is detected, at least one recommendation unit is identified to present to user on the page. The recommendation unit is identified based on a description of the interaction. The recommendation unit suggests that the user perform a social interaction in the social networking system. The recommendation unit is transmitted to a device of the user and is presented to the user on the page without having to reload the entire page.

Abstract: As a user of a social networking system views a page that includes information provided by the system, certain types of social interactions are monitored. If an interaction monitored for is detected, at least one recommendation unit is identified to present to user on the page. The recommendation unit is identified based on a description of the interaction. The recommendation unit suggests that the user perform a social interaction in the social networking system. The recommendation unit is transmitted to a device of the user and is presented to the user on the page without having to reload the entire page.

Abstract: A location query engine in a social networking system provides users with a subset of candidate locations based on location query received from a user. The social networking system identifies candidate locations from stored location data that has one or more attributes matching at least one attribute of the location query. The candidate locations are ranked based on social data determined from a user profile associated with the user, and the subset of candidate locations is selected from the ranking and provided to the user. Examples of social data used for ranking the candidate locations include locations associated with other users connected to the user, locations associated with objects connected to the user and locations previously associated with the user.

Abstract: A social networking system allows a user to create an event in the social networking system while viewing a web page from a third-party website from a domain different than the social networking system. A widget or other social plug-in is included in the web page, and user interaction with the widget communicates information from the web page to the social networking system. An event object is created in the social networking system from the information from the web page. The social networking system may perform various actions to increase user interaction with the created event object, such as identifying additional users to invite the event or identifying users attending the event to other users.

Abstract: Social networking system users may create events where a group of other users invited to the event meet at a specified time and location. While an inviting user initially specifies the group of users to invite to the event, the social networking system suggests additional users to invite to the event. The social networking system suggests additional users based on a prediction that the users would attend the event if invited. Various factors may be used to make the prediction, such as an affinity between the inviting user and the other users, the availability of the other users at the time of the event and/or the proximity of the other users to the location of the event. Invitations to the suggested additional users may be automatically sent or sent to a set of the additional users selected by the inviting user.