Structured Learning from Heterogeneous Behavior for Social Identity Linkage
نویسندگان
چکیده
منابع مشابه
Behavior-aware User Response Modeling in Social Media: Learning from Diverse Heterogeneous Data Behavior-aware User Response Modeling in Social Media: Learning from Diverse Heterogeneous Data
With the rapid development of Web 2.0 applications, social media have increasingly become a major factor influencing the purchase decisions of customers. Massive user behavioral, i.e., longitudinal individual behavioral and engagement behavioral, data generated on social media sites post challenges to integrate diverse heterogeneous data to improve prediction performance in customer response mo...
متن کاملLearning vector quantization for heterogeneous structured data
In this paper we introduce an approach to integrate heterogeneous structured data into a learning vector quantization. The total distance between two heterogeneous structured samples is defined as a weighted sum of the distances in the single structural components. The weights are adapted in every iteration of learning using gradient descend on the cost function inspired by Generalized Learning...
متن کاملClustering Heterogeneous Semi-structured Social Science Datasets
Social scientists have begun to collect large datasets that are heterogeneous and semi-structured, but the ability to analyze such data has lagged behind its collection. We design a process to map such datasets to a numerical form, apply singular value decomposition clustering, and explore the impact of individual attributes or fields by overlaying visualizations of the clusters. This provides ...
متن کاملSOCIAL IDENTITY SHAPES SOCIAL VALUATION Running head: SOCIAL IDENTITY SHAPES SOCIAL VALUATION Social Identity Shapes Social Valuation: Evidence from Prosocial Behavior and Vicarious Reward
متن کامل
Behavior-aware user response modeling in social media: Learning from diverse heterogeneous data
With the rapid development of Web 2.0 applications, social media have increasingly become a major factor influencing the purchase decisions of customers. Massive user behavioral, i.e., longitudinal individual behavioral and engagement behavioral, data generated on social media sites post challenges to integrate diverse heterogeneous data to improve prediction performance in customer response mo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2015
ISSN: 1041-4347
DOI: 10.1109/tkde.2015.2397434