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SOCIAL BEHAVIORAL TARGETING OF ADVERTISEMENTS IN A SOCIAL NETWORKING ENVIRONMENT

机译:社交网络环境中广告的社交行为定位

摘要

Processes and systems for tracking and utilizing interactions between users and advertisements within a social network are provided. An exemplary process includes receiving interaction data associated with interactions between users and advertisements and training an adaptive algorithm based on interaction data, user data, and advertisement data. Interaction data may include past interactions with an advertisement by a user, and along with associated user data (e.g., demographic data, social data, etc.), and advertisement data (e.g., advertisement details and targeting criteria), can be used by an adaptive algorithm to identify patterns between user data and advertising data to increase the chances of a desired interaction when placing advertisements to users. The adaptive algorithm may include one or more of an adaptive pattern matching algorithm, regression analysis algorithm, neural network algorithm, or genetic algorithm.
机译:提供了用于跟踪和利用社交网络内的用户与广告之间的交互的过程和系统。示例性过程包括:接收与用户和广告之间的交互相关联的交互数据,以及基于交互数据,用户数据和广告数据来训练自适应算法。互动数据可以包括用户过去与广告的互动,以及关联的用户数据(例如,人口统计数据,社交数据等),广告数据(例如,广告详细信息和定位标准)可以由用户使用一种自适应算法,用于识别用户数据和广告数据之间的模式,以在向用户放置广告时增加所需交互的机会。自适应算法可以包括自适应模式匹配算法,回归分析算法,神经网络算法或遗传算法中的一种或多种。

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