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Online Retail Recommender JAVA Application using implicit feedback with collaborating filter algorithm

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Java Machine Learning application suggesting items for sale. Application was build with implicit feedback rather than direct ratings from the users. Usually users leave no rating but still they matter a lot so we need to user other feedback information like clicks, time spent on item, buying history. Collaborative Filtering from Spark MLib was used to implement the Recommender System.

License to EPL https://www.eclipse.org/legal/epl-v10.html

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Online Retail Recommender JAVA Application using implicit feedback with collaborating filter algorithm

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