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Paper Details
Paper Title
Predicting the Product Success Rate using Ant miner
Authors
Saranya Malineni, N.Lakshmi Prasanna
Abstract
This paper presents a system for predicting the product success rate on e-commerce web sites from the user's social media profile by using Ant-Miner algorithm. We specifically aim at understanding if the user's profile information in a social network can be leveraged to predict what categories of products the user will buy from online websites. And whatever the product entering into the market that product will suggest to the users who are interested on that particular product. This can very useful for the manufactures because they can easily analyze which category of products mostly purchased by the users.
Keywords- E-commerce, social networks, social media, social commerce
Publication Details
Unique Identification Number - IJEDR1504130Page Number(s) - 750-753Pubished in - Volume 3 | Issue 4 | December 2015DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Saranya Malineni, N.Lakshmi Prasanna, "Predicting the Product Success Rate using Ant miner", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.750-753, December 2015, Available at :http://www.ijedr.org/papers/IJEDR1504130.pdf
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