In the last years, information flood is becoming a common reality, and the general user, hit
by thousands of possible interesting information, has great difficulties identifying the best …

With the prosperity of e-commerce, the recommendation service rises rapidly due to its
significant performance on promotion of consumer satisfaction level and sales. On one …

In this paper, a comparative analysis of current Recommendation Systems (RSs) is
provided. In addition, we propose a new efficient Utility-Based Filtering (UBF) and …

With the development of electronic commerce, recommender system is becoming an
important research topic. Existing methods of recommender systems such as collaborative …

The goal of the work in this paper is towards the incorporation of context in recommender
systems in the domain of mobile applications. The approach recommends mobile …

From the past decade, there are many recommended system are being used for determining
various problem in different field like entertainment, social media and e-commerce …

Mobile content recommendation system has been widely used to overcome limitation of
usability on mobile device for mobile content filtering problem. However, the system faces …

With the popularity of smart phones, plenty of mobile phone applications are developed to
meet people's various needs, and mobile application recommendation has become a …

Search queries on large databases, often return a large number of results, only a small
subset of which is relevant to the user. When the user want to search the result for a …

Although there are many recommendation systems in use, they all face various challenges
including the integration of diverse source data, improvement of prediction precision and …