To ease framework understanding, tools have been developed that analyze existing
framework instantiations to extract API usage patterns and present them to the user …

As the world becomes a highly interconnected place, there is an increasing demand for
providing ubiquitous access to content and services over a wide variety of platforms and …

moreTourism: Mobile recommendations for tourism Page 1 Abstract-- This paper introduces a
hybrid recommendation platform providing information about tourist resources depending on …

Traditional collaborative filtering recommendation algorithms face the cold-start problem. A
collaborative filtering recommendation algorithm based on the implicit information of the new …

Cellular data services have benefited recently from enhancements in access speed, delay,
and other parameters generally associated with quality-of-service (QoS). However, end …

The rapid growth of e-commerce platforms has resulted in an overwhelming abundance of
product information, leading to choice paralysis and information overload for users. To …

This paper describes an implementation of recommender system to facilitate the user
proactive search to find interesting products (eg movies in a movie store). Using an …

Service recommender systems have shown to be valuable tools to provide appropriate
recommendations to the users. However, in most of existing service recommender systems …

Recommender Systems (RS) have application in all areas where digital information is
generating at high rate. They are used to filter large volume of digital data containing user …

There have been growing interests in the area of recommender systems using machine
learning techniques. As there are a great number of explicit and implicit features that can be …