Recommendation systems have been developed in many domains to help users with information overload from the large volume of online multimedia content by providing them appropriate options. Recently hybrid recommendation require a amount data understand users’ interests and give suggestions. However, several internet privacy issues make skeptical about sharing their personal service providers, l...

This research is a type of action research. Aims to design database for costume ordering service outlet recommendation system. The application built using the flutter framework as user interface, PHP language data processor that sent from and MySQL database.A system able identify provide high potential content selected by users based on filtering information takes preferences behavior history.T...

Recommendation systems are often evaluated based on user’s interactions that were collected from an existing, already deployed recommendation system. In this situation, users only provide feedback the exposed items and they may not leave other since have been to them by As a result, dataset is used evaluate new model influenced system, as form of closed loop feedback. article, we show typical o...

Abstract To perform their daily tasks, developers intensively make use of existing resources by consulting open source software (OSS) repositories. Such platforms contain rich data sources, e.g., code snippets, documentations, and user discussions, that can be useful for supporting development activities. Over the last decades, several techniques tools have been promoted to provide with innovat...

Recommendation Systems are central in current applications to help the user find useful information spread in large amounts of post, videos or social networks. Most Recommendation Systems are more effective when huge amounts of user data are available in order to calculate similarities between users. Educational applications are not popular enough in order to generate large amount of data. In t...

This study aims to develop a social recommendation media GIS (Geographic Information Systems) specially tailored to recommend tourist spots. The conclusions of this study are summarized in the following three points. (1) Social media GIS, an information system which integrates WebGIS, SNS and recommendation system into a single system, was conducted in the central part of Yokohama City in Kanag...

Internet provides great amount of heterogeneous information. Thousands of news articles and blogs post each day. Millions of movies, books, music tracks are becoming available on internet. But we really need and consume only few of them. To recommend to us something we may like, we need an intelligent Web Recommendation system. Recommendation Systems are limited by several problems, of which ar...

Most of the existing medicine recommendation systems that are mainly based on electronic medical records (EMRs) are significantly assisting doctors to make better clinical decisions benefiting both patients and caregivers. Even though the growth of EMRs is at a lighting fast speed in the era of big data, content limitations in EMRs restrain the existed recommendation systems to reflect relevant...