Abstract:
A ranked set of users may be calculated from an expertise categorization for each user and a person's trust in the users for specific categories. The ranked set of users may be used for presenting search results, recommendations, social marketing, or other uses. A person's expertise may be determined through various online activities. A person's trust in another person may be related to their proximity and activity in one or more social networks.
Abstract:
Un sistema de mercadeo social puede medir el desempeño de campañas de mercadeo utilizando las velocidades de clic efectivas que incluyen impresiones que son debido a propagación de artículos a través de redes sociales. Un sistema de mercadeo social puede rastrear una efectividad inicial al empezar una campaña, así como rastrear la propagación de la información de campaña a través de múltiples redes sociales. La efectividad de la campaña puede medirse utilizando las velocidades de clic efectivas para varias audiencias objetivo. El sistema de red social puede crear enlaces a materiales de publicidad y con ello rastrear interacciones cuando los usuarios dan clic a través de los enlaces para interactuar con los materiales. La efectividad de la campaña de medios sociales puede basarse en parte al medir el número real o estimado de impresiones a través de redes de medios sociales.
Abstract:
A social marketing system may measure the performance of marketing campaigns using the effective click through rates that include impressions that are due to propagation of items through social networks. A social marketing system may track an initial effectiveness in starting a campaign, as well as track the propagation of the campaign information through multiple social networks. The effectiveness of the campaign may be measured using the effective click through rates for various target audiences. The social marketing system may create links to advertising materials and thereby track interactions when users click through the links to interact with the materials. The effectiveness of the social media campaign may be based in part by measuring the actual or estimated number of impressions through social media networks.
Abstract:
A ranked set of users may be calculated from an expertise categorization for each user and a person's trust in the users for specific categories. The ranked set of users may be used for presenting search results, recommendations, social marketing, or other uses. A person's reputation may be determined through various online activities. A person's trust in another person may be related to their proximity and activity in one or more social networks.
Abstract:
Messages to a focal user are organized by relevance of the message originators. A visual representation of the messages includes a focal user representation (textual or graphic) and multiple contact representations (textual or graphic). The contact representations are displayed at respective relevance distances from the focal user representation. Text regions present the contents of messages from the source contacts, e.g., using graphic novel-style word balloons. The contact representations can be positioned on screen in maps, radar format, or other configurations. Users can filter contacts according to relevance, and can filter messages by pertinence.
Abstract:
User input actions from one or more user input devices can be received, and unfiltered user input information about the user input actions can be collected at a client computing environment. The unfiltered user input information can be filtered to produce filtered user input information. The filtered user input information can exclude personal information and include non-personal information. In addition, a user profile can be created using the filtered user input information.