A Purchase Prediction Based on Collaborative Filtering Algorithm

Zheng Fu; Lan Feng Zhou

doi:10.4028/www.scientific.net/AMR.989-994.2241

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994A Purchase Prediction Based on Collaborative...

A Purchase Prediction Based on Collaborative Filtering Algorithm

Abstract:

For a more accurate prediction of the probability of consumers to purchase a commodity, this paper build a users’ behavior model based on correlation analysis with apriori algorithm. The model is built by learning from users’ history data and behaviors’ at present, an experimental result demonstrates that this model can effectively predict consumer buying behavior, and it is better than some traditional methods.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2241-2244

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.2241

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Online since:

July 2014

Authors:

Zheng Fu*, Lan Feng Zhou

Keywords:

Collaborative Filtering (CF), Purchase Prediction, Users’ Behavior

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* - Corresponding Author

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