Does the existence of recommender systems put an end to digital privacy?
Ever found yourself endlessly scrolling through different movie categories on Netflix looking for that one movie that is of interest to you? Or browsing through the pages on ASOS until you see that one particular item you like? As the volume of Big Data today continues to expand, the countless choices on the Internet can be overwhelming. This is where recommender systems come into place. Recommender (or recommendation) systems are information filtering systems that search through large amounts of data to collect and provide personalized content and services to its users. Using these systems result in substantial benefits both to buyers: - Timely access to customized and relevant data on the web. - May lead to discovery of products that they didn’t know existed. - Increased customer satisfaction. and sellers: - Higher sales and profits as customers tend to buy more. - Increased cross-sell as some systems tend to suggest a