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Life-Cycle Modeling Based on Transaction and Social Media Data
Life-Cycle Modeling Based on Transaction and Social Media Data
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机译：基于交易和社交媒体数据的生命周期建模
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摘要
A mechanism is provided for personalizing a user's E-commerce environment. Identified lifecycle state transactions associated with the user are modeled by performing a lifecycle state transition probability calculation utilizing collected social media data and transaction data. Utilizing the model of the identified lifecycle state transactions, a two-level Hidden Markov Model (HMM) lifecycle model is generated for current lifecycle states being experienced by the user. Utilizing the two-level HMM lifecycle model for current lifecycle states being experienced by the user, one or more future behavioral predictions are generated with regard to the user's lifecycle. One or more E-commerce recommendations are then issued to the user based on the one or more future behavioral predictions.
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