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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Improvising Purchase Prediction using hybrid approach utilizing Apache Mahout with C45. and Naive Bayes classifier
Authors Name: Pooja Pawar , S.G.Tuppad
Unique Id: IJSDR1806007
Published In: Volume 3 Issue 6, June-2018
Abstract: Ecommerce has grown rapidly over the years. Many people are using popular channels to buy goods and services on the internet. It therefore becomes very important for shopping sites to accurately predict what customers want to buy to increase sales or increase customer satisfaction. Traditional algorithms like joint filtering are extremely popular in predicting user settings in the book, guide, or music area. But they face issues where rating data is sparse or not available in the shopping domain. Compared to the number of ratings on an ecommerce shopping site, the volume of many user click data is sufficient for the user's liking. So in this article, we propose a prediction model based on probability statistics that use user click behavior data.
Keywords: E-commerce Purchase Prediction; Clicking Behavior Data; Probability Statistics
Cite Article: "Improvising Purchase Prediction using hybrid approach utilizing Apache Mahout with C45. and Naive Bayes classifier ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 6, page no.33 - 39, June-2018, Available :http://www.ijsdr.org/papers/IJSDR1806007.pdf
Downloads: 000201506
Publication Details: Published Paper ID: IJSDR1806007
Registration ID:180365
Published In: Volume 3 Issue 6, June-2018
DOI (Digital Object Identifier):
Page No: 33 - 39
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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