The personalized recommender systems provide user-related services based on user
preferences; these preferences are recorded in an individual profile. Therefore, the more …

The personalized recommender systems provide favorite services based on user
preferences and interests. Due to the user's interests changing over time; hence the …

Abstract Personalized Recommender Systems (RS) are used to help people reduce the
amount of time they spend to find items they are interested in. Collaborative Filtering (CF) is …

Abstract Recommender Systems (RSs) generate personalized suggestions to users for
items that may be interesting for them. Many RSs use the Collaborative Filtering (CF) …

Recommender systems typically store personal preference profiles. Many items in the
profiles can be represented by numerical attributes. However, the initial profile of each user …

Recommender system is a promising technology for companies to present personalised
offers to their customers. But this technology suffers from sparsity problem. In addition, most …

Nowadays, e-commerce is becoming an essential part of business for many reasons,
including the simplicity, availability, richness and diversity of products and services, flexibility …

Intelligent item recommendation is a key issue in AI research which enables recommender
systems to be more “human-minded” when generating recommendations. However, one of …

ABSTRACT In online Recommender Systems, people tend to consume and rate items that
are not necessarily similar to one another. This phenomenon is a direct consequence of the …

In the field of collaborative filtering recommendation, the accuracy requirement of the
recommendation algorithm always makes it complex and hard to realize. Slope One …