Big Data Behind Recommender Systems
摘要
For recommender systemsRecommender system to make accurateAccurate predictions about the preferences of users, they rely on varieties of information and feedbackFeedback from the customers. So this naturally involves dealing with and processing huge volumes of data every day. So here we see the concept of big data and why it is so important. We also see how recommender systemsRecommender system can benefit from using big data, what the types of data stored and what the challenges are. Finally, some examples show how exactly it is used by the recommender systemsRecommender system by taking the example of Twitter.