Cited By
View all- Behera GNain NSoni R(2024)Integrating user-side information into matrix factorization to address data sparsity of collaborative filteringMultimedia Systems10.1007/s00530-024-01261-830:2Online publication date: 18-Feb-2024
With the increase in E-commerce, Recommendation Systems are getting popular to provide recommendations of various items (movies, books, music) to users. To build the Recommendation System (RS), Collaborative Filtering (CF) techniques are proven ...
Recommendation systems analyze the purchasing behavior (e.g., item ratings) of users to learn about their preferences and recommend products or services that may be of interest to them. However, as new users require time to become familiar with ...
In the age of information explosion, recommendation system has been proved effective to cope with information overload in e-commerce area. However, unscrupulous producers shill the systems in many ways to make profit, and it makes the system imprecise ...
Springer-Verlag
Berlin, Heidelberg
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