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By rightmarks07
Submitted: Nov 27 2012 / 00:54

Recommendation engines, or recommenders, are widely used by many applications for suggesting objects users may like. For example, an online shopping site will suggest products users may like depending on what they have bought and/or visited earlier. This session covers creation of a recommender for a consumer Web application. We’ll be using Apache Mahout to build parts of the recommender. Apache Mahout is a machine learning library which also plays nice with Apache Hadoop for processing. We will, however, be focusing more on how to use it without Hadoop. [ Session at 7th Annual IndicThreads Software Conference, Pune - ]
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