Analysis of different implementations of bigdata techniques in consumer behaviour

Abstract

As a matter of fact, consumer behaviour analysis plays a key role in sales strategy designs in recent years. Thanks to the rapid development of data analysis techniques as well as machine learning schemes, it is available to analyse the data collected in daily life to realize the consumer behaviour analysis (e.g., prediction, judgement). With this in mind, this study will select some of the specific cases with different models to discuss the implementation way. According to the analysis, the performances for the different models in different situations are discussed. At the same time, the current limitations for different applications as well as analysis pattern are clarified as well as evaluated based on the analysis. In the meantime, the prospects for the further study are demonstrated. Overall, these results shed light on guiding further exploration of implementation the big data analysis techniques as well as machine learning scenarios in consumer behaviour.