Background: Nutrition informatics has become a novel approach for registered dietitians to practice in this field and make a profit for health care. Recommendation systems considered as an effective technology into aid users to adjust their eating behavior and achieve the goal of healthier food and diet. The purpose of this study is to review nutrition recommendation systems (NRS) and their cha...

these days, due to growing the e-commerce sites, access to information about items is easier than past. but because of huge amount of information, we need new filtering techniques to find interested information faster and more accurate. therefore recommender systems (rs) introduced for solving this problem. although several recommender approaches have proposed, collaborative filtering (cf) appr...

Recommender systems are important tools for users to identify their preferred items and for businesses to improve their products and services. In recent years, the use of online services for selection and reservation of hotels have witnessed a booming growth. Customer’ reviews have replaced the word of mouth marketing, but searching hotels based on user priorities is more time-consuming. This s...

Abstract In the era of internet access, recommender systems try to alleviate difficulty consumers face while trying find items (e.g. services, products, or information) that better match their needs. To do so, a system selects and proposes (possibly unknown) may be interest some candidate consumer, by predicting her/his preference for this item. Given diversity needs between enormous variety re...

The most common way to listen recorded music nowadays is via streaming platforms which provide access tens of millions tracks. To assist users in effectively browsing these large catalogs, the integration Music Recommender Systems (MRSs) has become essential. Current real-world MRSs are often quite complex and optimized for recommendation accuracy. They combine several building blocks based on ...