Abstract: Offline social facilitation systems, interactions, interfaces, and methods are disclosed for identifying and generating conversation topics, social behaviors, or other interpersonal interactions. An interpersonal network manager determines a set of social suggestions, such as conversation topics, based on current events and user interests. The interpersonal network manager maintains a set of matching values corresponding to each social suggestion, and further maintains information on characteristics of users in an interpersonal networking system. At an offline social activity, the interpersonal network manager scores the set of social suggestions against a group of guests based on the matching values and characteristics. Guests in the group are provided social suggestions based on the score.

Abstract: Offline activity management systems, interactions, interfaces, and methods are disclosed for facilitating user creation of successful offline social activities. An interpersonal network manager provides interfaces for entering or selecting the details of a potential offline social activity. A user selects a target size for the activity, which may correspond to an activity size limit maximum or minimum based on the venue or size of the location. The user selects a list of potential guests to invite to the potential offline social activity, and indicates an invitation preference. The interpersonal network manager selects sets of potential guests to invite to the potential offline social activity on the basis of the invitation preference and information on the potential guests. The interpersonal network manager stops inviting guests when the target size is reached.

Abstract: Offline activity management systems, interactions, interfaces, and methods are disclosed for generating sets of offline social activities that may form the basis of social recommendations for users. An interpersonal network manager selects venues based on requirements such as a geographic area and generates potential offline social activities based on these venues. The interpersonal network manager tests the predicted fitness of the potential offline social activities against semi-random sets of users in the network, and selects potential offline social activities that are predicted to be the most enjoyable to the test users. The selected potential offline social activities are presented to users as offline social recommendations.

Abstract: Offline social recommendation systems, interactions, interfaces, and methods are disclosed for utilizing user interests and characteristics in the generation and selection of recommendations for offline social networking. An interpersonal network manager maintains data on user characteristics and interests, and updates this data based on direct feedback and inferences drawn from various kinds of user-associated information. The interpersonal network manager generates characteristics or other matching scores associated with a set of interpersonal interactions, such as offline networking activities, and selects interpersonal interactions to recommend to a user based on relationships between the matching scores associated with each interpersonal interaction and any characteristics and interests associated with the user.