Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: User profile is a summary of a consumer’s interests and preferences revealed through the consumer’s online activity. It is a fundamental component of numerous applications in digital marketing. McKinsey & Company view online user profiling as one of the promising opportunities companies should take advantage of to unlock “big data’s” potential.  proposes a modeling approach that uncovers individual user profiles from online surfing data and allows online businesses to make profile predictions when limited information is available. The approach is easily parallelized and scales ll for processing massive records of user online activity.  demonstrate application of our approach to customer-base analysis and display advertising. Our empirical analysis uncovers easy-to-interpret behavior profiles and describes the distribution of such profiles. Furthermore, it reveals that even for information-rich online firms profile inference that is based solely on their internal data may produce biased resul...
['Michael Trusov', 'Liye Ma', 'Zainab Jamal']
I am writing a research paper on a idea Crumbs of the Cookie: User Profiling in Customer-Base Analysis and Behavioral Targeting
[{"from": "human", "value": "I am writing a research paper on a idea Crumbs of the Cookie: User Profiling in Customer-Base Analysis and Behavioral Targeting"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: User profile is a summary of a consumer\u2019s interests and preferences revealed through the consumer\u2019s online activity. It is a fundamental component of numerous applications in digital marketing. McKinsey & Company view online user profiling as one of the promising opportunities companies should take advantage of to unlock \u201cbig data\u2019s\u201d potential.  proposes a modeling approach that uncovers individual user profiles from online surfing data and allows online businesses to make profile predictions when limited information is available. The approach is easily parallelized and scales ll for processing massive records of user online activity.  demonstrate application of our approach to customer-base analysis and display advertising. Our empirical analysis uncovers easy-to-interpret behavior profiles and describes the distribution of such profiles. Furthermore, it reveals that even for information-rich online firms profile inference that is based solely on their internal data may produce biased resul..."}]