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Building Recommendation Engines by Suresh Kumar Gorakala

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Big data driving the recommender systems

Of late, recommender systems are successful in impacting our lives in many ways. One such obvious example of this impact is how our online shopping experience has been redefined. As we browse through e-commerce sites and purchase products, the underlying recommendation engines respond immediately, in real time, with various relevant suggestions to consumers. Regardless of the perspective, from business player or consumer, recommendation engines have been immensely beneficial. Without a doubt, big data is the driving force behind recommender systems. A good recommendation engine should be reliable, scalable, highly available, and be able to provide personalized recommendations, in real time, to the large ...

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