Recommendation Systems for E-Commerce: A Review
نویسندگان
چکیده
منابع مشابه
A Personalization Recommendation Algorithm for E-Commerce
Many recommendation systems employ the collaborative filtering technology, which has been proved to be one of the most successful techniques in recommendation systems in recent years, the difficulties of the extreme sparsity of user rating data have become more and more severe. To solve the problems of scalability and sparsity in the collaborative filtering, this paper proposed a personalizatio...
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In an e-commerce environment, personalization has taken on an important role in improving service levels, and fostering customer loyalty. In addition, the recommendation systems techniques that support many personalization systems are capable of customizing the recommendation of products and the display of advertisements to the individual level. This chapter provides a review of the major recom...
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Recommender systems automate the process of recommending products and services to customers based on various types of data including customer demographics, product features, and, most importantly, previous interactions between customers and products (e.g., purchasing, rating, and catalog browsing). Despite significant research progress and growing acceptance in real-world applications, two majo...
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ژورنال
عنوان ژورنال: IJARCCE
سال: 2017
ISSN: 2278-1021
DOI: 10.17148/ijarcce.2017.6496