Incorporating contextual information in recommender systems is an effective approach to
create more accurate and relevant recommendations. This review has been conducted to …

The extensive usage of internet is fundamentally changing the way we live and
communicate. Consequently, the requirements of users while browsing internet are …

Recommendation systems play an important role in many practical applications that help
users manage information and provide personalized recommendations. The context in …

With rapid growth of information on the internet, recommender systems become fundamental
for helping users alleviate the problem of information overload. Since contextual information …

Recommendations based on offline data processing has attracted increasing attention from
both research communities and IT industries. The recommendation techniques could be …

 Abstract—This paper discusses the role of context in making recommender systems for
digital libraries. It first introduces different types of recommender systems then discusses the …

As consumers of television are presented with a plethora of available programming,
improving recommender systems in this domain is becoming increasingly important …

We describe an architecture for generating context-aware recommendations along with
detailed textual explanations to support the user in the decision-making process. CARE …

Context-aware recommender systems that provide better recommendations for users by
using their rating history in different situations have been proposed. Because incorporating …

Most of recommendation systems work with traditional recommender algorithms such as
collaborative filtering. Recently context has been incorporated in these algorithms as a …