Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
نویسندگان
چکیده
منابع مشابه
Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
As the amount of online shoppers grows rapidly, the need of recommender systems for e-commerce sites are demanding, especially when the number of users and products being offered online continues to increase dramatically. There have been many ongoing researches on recommender systems and in investigating recommendation algorithms that could optimize the recommendation quality. However, adequate...
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The growth of Internet commerce has provoked the use of Recommender Systems (RS). Adequate datasets of users and products have always been demanding to better evaluate RS algorithms. Yet, the amount of public data, especially data containing content information (attributes) is limited. In addition, the performance of RS is highly dependent on various characteristics of the datasets. Thus, few o...
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ژورنال
عنوان ژورنال: Journal of Computers
سال: 2006
ISSN: 1796-203X
DOI: 10.4304/jcp.1.4.18-29