Web Service Recommendation Based on Time Series Forecasting and Collaborative Filtering

@article{Hu2015WebSR,
  title={Web Service Recommendation Based on Time Series Forecasting and Collaborative Filtering},
  author={Yan Hu and Qimin Peng and Xiaohui Hu and Rong Yang},
  journal={2015 IEEE International Conference on Web Services},
  year={2015},
  pages={233-240}
}
Quality of Service (QoS) has been widely used for personalized Web service recommendation. Since QoS information usually cannot be predetermined, how to make personalized QoS prediction precisely becomes a challenge of Web service recommendation. Time series forecasting and collaborative filtering are two mainstream technologies for QoS prediction. However, on one hand, existing time series forecasting approaches based on Auto Regressive Integrated Moving Average (ARIMA) models do not take the… CONTINUE READING
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