The recommender system (RS) improves the users' experience when searching for and
buying items by providing recommendations. This paper presents a new hybrid RS called …

Recommender systems are gaining a great importance with the emergence of E-commerce
and business on the internet. Collaborative Filtering (CF) is one of the most promising …

Collaborative filtering (CF) technique in recommender systems (RS) is a well-known and
popular technique that exploits relationships between users or items to make product …

Collaborative filtering has been successfully implemented in many commercial
recommender systems. These systems recommend items favored by other users with similar …

The virtual world is overflowing with digital items which makes user's experience when
searching for, selecting and buying items harder. The use of a recommender system can …

Recent years have seen a significant growth in social tagging systems, which allow users to
use their own generated tags to organize, categorize, describe and search digital content on …

Slope One is a family of algorithms proposed for collaborative filtering and has been widely
deployed on websites' recommender systems. Compared to SVD, LSI, Similarity Fusion, or …

Advances in technology and high Internet penetration are leading to a large number of
businesses going online. As a result, there is a substantial increase in the number of …

Recommender systems (RSs) suggest a list of items to users by using collaborative or
content-based filtering. Collaborative filtering approaches build models from the user's past …

Improving the efficiency of methods has been a big challenge in recommender systems. It
has been also important to consider the trade-off between the accuracy and the computation …