HPRS: A Profitability based Recommender

Traditional Recommender Systems learn about user preferences over time and recommends products that fit the learned model of user preferences.

In tradition, recommendations are provided to customers based on purchase probability and customers’ references, without considering the profitability factor or sellers. This work presents a new profitability-based recommender system, HPRS (Hybrid Perspective Recommender System), which attempts to integrate the profitability factor into the traditional recommender systems

For the entire article please view HPRS: A profitability based recommender system
Mu-Chen Chen,; Long-Sheng Chen,; Fei-Hao Hsu,; Yuanjia Hsu,; Hsiao-Ying Chou,;
in the IEEE Xplore.

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http://www.ieeexplore.ieee.org/xpl/freeabs_all.jsp?isnumber=4419131&arnumber=4419183&count=438&index=51