Recommender Systems
نویسنده
چکیده
Recommender systems have become an important part users’ everyday interactions with Web based applications, particularly those driving e-commerce. Businesses have come to realize the potential of these personalized and adaptive systems in order to increase sales and to retain customers. Likewise, Web users have come to rely on such systems to help them in more efficiently finding items of interest in large information spaces. We provide a brief characterization of the recommendation problem, in general, and summarize various approaches used for recommendation generation.
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ورودعنوان ژورنال:
- KI
دوره 21 شماره
صفحات -
تاریخ انتشار 2007