High medicine diversity has always been a significant challenge for prescription, causing confusion or doubt in physicians’ decision-making process. This paper aims to develop recommender system called RecoMed aid the physician prescription process of hypertension by providing information about what medications have prescribed other doctors and figuring out medicines can be recommended addition...

<span lang="EN-US">Smart home is one of the most important applications internet things (IoT). Smart makes life simpler, easier to control, saves energy based on user’s behavior and interaction with appliances. Many existing approaches have designed a smart system using data mining algorithms. However, these do not consider multiusers that exist in same location time (which needs complex ...

This paper proposes a method for recommending music items without explicit feedback. Context and content features are used as auxiliary information to compensate implicit The recent development of communication technology portable electronic devices has changed the way consuming music. We can access vast amount via online streaming services. As result, finding appropriate from enormous resource...

Nowadays computing becoming significantly mobile and pervasive, these important changes intend that applications and services must be aware and adapt to progressive environments. Especially, mobile commerce (m-commerce) is an up-and-coming research area because of its relative novelty, extreme growth, and high potential in business applications. Unfortunately, there are several mobile service a...

A recommender system is an information filtering technology which can be used to predict preference ratings of items (products, services, movies, etc) and/or to output a ranking of items that are likely to be of interest to the user. Context-aware recommender systems (CARS) learn and predict the tastes and preferences of users by incorporating available contextual information in the recommendat...

Recommender systems that inform consumers about their likely ideal product have become the cornerstone of eCommerce platforms that sell products from competing manufacturers. Using a model of an electronic marketplace in which two competing manufacturers produce substitutable products and sell the products through a common retail platform, we study the e ect of recommender systems on the market...