Recommender Systems
The first applications of recommender technologies were the personalized recommendation of news and Web sites; the former application is often based on collaborative filtering, and the latter is based on content-based filtering.
Abstract
successful e-commerce applications (such as Amazon. com). Nowadays, numerous online shops employ recommender applications, which many regard as a key enabling technology of e-commerce. Corresponding applications recommend everything from news, Web sites, CDs, books, and movies to more complex items such as financial services, digital cameras, or e-government services. Recommendations are determined either by explicitly conducting sales dialogues with online users or by analyzing existing purchasing data from a single user or a community of users. Following the latter approach, the first recommender applications, developed in the mid-1990s, aimed to aggregate existing rating information to derive new user recommendations.