Seminar on Internet Technologies (Winter 2018/2019): Difference between revisions

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| '''Repeat Buyer Prediction for E-Commerce'''
| '''Repeat Buyer Prediction for E-Commerce'''
| A large number of new buyers are often acquired by merchants during promotions. However, many of the attracted buyers are one-time deal hunters, and the promotions may have little long-lasting impact on sales. It is important for merchants to identify who can be converted to regular loyal buyers and then target them to reduce promotion cost and increase the return on investment (ROI). Our goal in this topic is to do a survey about the key factors leading to successful purchasing actions. On the basis, further work such as purchasing prediction and personalized recommendation can be carried out.
| A large number of new buyers are often acquired by merchants during promotions. However, many of the attracted buyers are one-time deal hunters, and the promotions may have little long-lasting impact on sales. It is important for merchants to identify who can be converted to regular loyal buyers and then target them to reduce promotion cost and increase the return on investment (ROI). Our goal in this topic is to do a survey about the key factors leading to successful purchasing actions. On the basis, further work such as purchasing prediction and personalized recommendation can be carried out.
| [Zhao Bo--<bo.zhao@gwdg.de>]
| Basic machine learning knowledge
|[Zhao Bo--<bo.zhao@gwdg.de>]
| [https://dl.acm.org/citation.cfm?id=2939674,https://dl.acm.org/citation.cfm?id=3219826]
| [https://dl.acm.org/citation.cfm?id=2939674,https://dl.acm.org/citation.cfm?id=3219826]
|-
|-
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