Abstract: Disclosed are methods and systems for locating, filtering, ranking and then providing a selection of potential “meet-up” venue(s) and time(s) recommendations to a group of users of a device having an interface and a display (e.g., a smart phone or a tablet) based on the geographic area delineated by a user and the user's contacts who are invited to the “meet-up”. The methods and systems calculate, filter and rank the most convenient “meet-up” venue and time based on the current location of group members, taking into account a plurality of factors, such as time, distance, schedule, group member's interests, availability, and the like. The methods and systems then provide a selection of the top ranking “meet-up” venues to the group members. Thereafter, the group members vote for the most suitable location among the ranked “meet-up” venues.

Abstract: There are disclosed systems and methods for calculating the “social score” of users of social websites to determine who the “social leaders” are. The activities of users of social websites are monitored and activities weighted. The combined scores for the user's activities provide an absolute score for the particular user. The absolute score from a single social website, or combined absolute scores from a plurality of social websites, can be used. In either instance, the absolute score obtained of a user is compared to the absolute scores of other users and a relative score is obtained. The relative score provides a ranking of each user as compared to the rest of the user population. In this manner, social leaders, e.g., the top ten percent in relative score can be identified. Social leaders are of interest to various entities to provide targets for advertising, product test marketing, and the like.

Abstract: There is presented a method that includes (a) receiving, from a server, data that indicates an intensity of interactions between a user and each of a first contact of the user and a second contact of the user, where the interactions include (i) communications conducted by way of a first device of the user, and (ii) communications conducted by way of a second device of the user, (b) calculating a first score for the first contact and a second score for the second contact, based on the intensity of interactions, (c) determining a first size for a first image that represents the first contact based on the first score, and a second size for a second image that represents the second contact based on the second score, and (d) presenting on a display, the first image having the first size and the second image having the second size.

Abstract: There is presented a method that includes (a) receiving, from a server, data that indicates an intensity of interactions between a user and each of a first contact of the user and a second contact of the user, where the interactions include (i) communications conducted by way of a first device of the user, and (ii) communications conducted by way of a second device of the user, (b) calculating a first score for the first contact and a second score for the second contact, based on the intensity of interactions, (c) determining a first size for a first image that represents the first contact based on the first score, and a second size for a second image that represents the second contact based on the second score, and (d) presenting on a display, the first image having the first size and the second image having the second size.

Abstract: There is provided a method for presenting on a communication device of a user, multi-channel presence information concerning a contact of the user. The method includes (a) obtaining a first score that indicates an availability of the contact to accept a communication via a first channel of communication, and a second score that indicates an availability of the contact to accept a communication via a second channel of communication, (b) determining, based on the first score and the second score, a preference between the first channel and the second channel, and (c) presenting the preference on the communication device of the user. There is also provided a system that performs the method, and a storage device that contains instructions that cause a processor to perform the method.

Abstract: Disclosed are methods and systems for locating, filtering, ranking and then providing a selection of potential “meet-up” venue(s) and time(s) recommendations to a group of users of a device having an interface and a display (e.g., a smart phone or a tablet) based on the geographic area delineated by a user and the user's contacts who are invited to the “meet-up”. The methods and systems calculate, filter and rank the most convenient “meet-up” venue and time based on the current location of group members, taking into account a plurality of factors, such as time, distance, schedule, group member's interests, availability, and the like. The methods and systems then provide a selection of the top ranking “meet-up” venues to the group members. Thereafter, the group members vote for the most suitable location among the ranked “meet-up” venues.

Abstract: Disclosed are systems and methods that gather information in levels of various categories about the “likes” of a user of a social site and, by assigning a weight factor to each level of category of “likes”, a “match” score for the user is calculated. The calculation of “match” scores can be performed for a plurality of users to obtain a set of users who are potential customers of a marketing campaign. The set of users whose “likes” are evaluated can be compared to the “target” of an advertising campaign to generate potential customers for that campaign; this serves to improve the conversion rate for the advertising campaign. Alternatively, the “like” profiles can be used to analyze the advertising campaign portfolio of an entity and provide recommendations as to those advertising campaigns likely to be of interest to a particular set of users, based on calculated “like” profiles.

Abstract: There are disclosed systems and methods for calculating the “social score” of users of social websites to determine who the “social leaders” are. The activities of users of social websites are monitored and activities weighted. The combined scores for the user's activities provide an absolute score for the particular user. The absolute score from a single social website, or combined absolute scores from a plurality of social websites, can be used. In either instance, the absolute score obtained of a user is compared to the absolute scores of other users and a relative score is obtained. The relative score provides a ranking of each user as compared to the rest of the user population. In this manner, social leaders, e.g., the top ten percent in relative score can be identified. Social leaders are of interest to various entities to provide targets for advertising, product test marketing, and the like.